id	sid	tid	token	lemma	pos
cana-1289	1	1	communications	communication	NOUN
cana-1289	1	2	on	on	ADP
cana-1289	1	3	applied	apply	VERB
cana-1289	1	4	nonlinear	nonlinear	ADJ
cana-1289	1	5	analysis	analysis	NOUN
cana-1289	1	6	issn	issn	NOUN
cana-1289	1	7	:	:	PUNCT
cana-1289	1	8	1074	1074	NUM
cana-1289	1	9	-	-	PUNCT
cana-1289	1	10	133x	133x	NUM
cana-1289	1	11	vol	vol	NOUN
cana-1289	1	12	31	31	NUM
cana-1289	1	13	no	no	NOUN
cana-1289	1	14	.	.	PUNCT
cana-1289	2	1	7s	7	NOUN
cana-1289	2	2	(	(	PUNCT
cana-1289	2	3	2024	2024	NUM
cana-1289	2	4	)	)	PUNCT
cana-1289	2	5	117	117	NUM
cana-1289	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	2	7	hybrid	hybrid	NOUN
cana-1289	2	8	recommender	recommender	NOUN
cana-1289	2	9	system	system	NOUN
cana-1289	2	10	using	use	VERB
cana-1289	2	11	cnns	cnn	NOUN
cana-1289	2	12	,	,	PUNCT
cana-1289	2	13	bi	bi	ADJ
cana-1289	2	14	-	-	ADJ
cana-1289	2	15	directional	directional	ADJ
cana-1289	2	16	rnns	rnn	NOUN
cana-1289	2	17	,	,	PUNCT
cana-1289	2	18	and	and	CCONJ
cana-1289	2	19	autoencoders	autoencoder	NOUN
cana-1289	2	20	naveen	naveen	PROPN
cana-1289	2	21	kumar	kumar	PROPN
cana-1289	2	22	navuri1	navuri1	PROPN
cana-1289	2	23	,	,	PUNCT
cana-1289	2	24	dr	dr	PROPN
cana-1289	2	25	cvpr	cvpr	NOUN
cana-1289	2	26	prasad2	prasad2	PROPN
cana-1289	2	27	1research	1research	NUM
cana-1289	2	28	scholar	scholar	NOUN
cana-1289	2	29	,	,	PUNCT
cana-1289	2	30	anu	anu	PROPN
cana-1289	2	31	,	,	PUNCT
cana-1289	2	32	asst	asst	NOUN
cana-1289	2	33	professor	professor	NOUN
cana-1289	2	34	,	,	PUNCT
cana-1289	2	35	malla	malla	PROPN
cana-1289	2	36	reddy	reddy	PROPN
cana-1289	2	37	university	university	PROPN
cana-1289	2	38	,	,	PUNCT
cana-1289	2	39	hyderabad	hyderabad	PROPN
cana-1289	2	40	,	,	PUNCT
cana-1289	2	41	naveennavuri@gmail.com	naveennavuri@gmail.com	X
cana-1289	3	1	2dean	2dean	NUM
cana-1289	3	2	academics	academic	NOUN
cana-1289	3	3	,	,	PUNCT
cana-1289	3	4	malla	malla	PROPN
cana-1289	3	5	reddy	reddy	PROPN
cana-1289	3	6	engineering	engineering	PROPN
cana-1289	3	7	college	college	PROPN
cana-1289	3	8	for	for	ADP
cana-1289	3	9	women	woman	NOUN
cana-1289	3	10	,	,	PUNCT
cana-1289	3	11	hyderabad	hyderabad	NOUN
cana-1289	3	12	and	and	CCONJ
cana-1289	3	13	research	research	NOUN
cana-1289	3	14	supervisor	supervisor	NOUN
cana-1289	3	15	,	,	PUNCT
cana-1289	3	16	anu	anu	PROPN
cana-1289	3	17	,	,	PUNCT
cana-1289	3	18	guntur	guntur	PROPN
cana-1289	3	19	,	,	PUNCT
cana-1289	3	20	prasadcvpr@gmail.com	prasadcvpr@gmail.com	X
cana-1289	3	21	article	article	NOUN
cana-1289	3	22	history	history	NOUN
cana-1289	3	23	:	:	PUNCT
cana-1289	3	24	received	receive	VERB
cana-1289	3	25	:	:	PUNCT
cana-1289	3	26	01	01	NUM
cana-1289	3	27	-	-	PUNCT
cana-1289	3	28	06	06	NUM
cana-1289	3	29	-	-	PUNCT
cana-1289	3	30	2024	2024	NUM
cana-1289	3	31	revised	revise	VERB
cana-1289	3	32	:	:	PUNCT
cana-1289	3	33	03	03	NUM
cana-1289	3	34	-	-	PUNCT
cana-1289	3	35	07	07	NUM
cana-1289	3	36	-	-	PUNCT
cana-1289	3	37	2024	2024	NUM
cana-1289	3	38	accepted	accept	VERB
cana-1289	3	39	:	:	PUNCT
cana-1289	3	40	29	29	NUM
cana-1289	3	41	-	-	SYM
cana-1289	3	42	07	07	NUM
cana-1289	3	43	-	-	PUNCT
cana-1289	3	44	2024	2024	NUM
cana-1289	3	45	abstract	abstract	NOUN
cana-1289	3	46	:	:	PUNCT
cana-1289	3	47	this	this	DET
cana-1289	3	48	research	research	NOUN
cana-1289	3	49	presents	present	VERB
cana-1289	3	50	an	an	DET
cana-1289	3	51	innovative	innovative	ADJ
cana-1289	3	52	hybrid	hybrid	NOUN
cana-1289	3	53	recommender	recommender	NOUN
cana-1289	3	54	system	system	NOUN
cana-1289	3	55	that	that	PRON
cana-1289	3	56	utilizes	utilize	VERB
cana-1289	3	57	stacked	stack	VERB
cana-1289	3	58	convolutional	convolutional	ADJ
cana-1289	3	59	neural	neural	ADJ
cana-1289	3	60	networks	network	NOUN
cana-1289	3	61	(	(	PUNCT
cana-1289	3	62	cnns	cnns	PROPN
cana-1289	3	63	)	)	PUNCT
cana-1289	3	64	,	,	PUNCT
cana-1289	3	65	bi	bi	ADJ
cana-1289	3	66	-	-	ADJ
cana-1289	3	67	directional	directional	ADJ
cana-1289	3	68	recurrent	recurrent	ADJ
cana-1289	3	69	neural	neural	ADJ
cana-1289	3	70	networks	network	NOUN
cana-1289	3	71	(	(	PUNCT
cana-1289	3	72	rnns	rnns	PROPN
cana-1289	3	73	)	)	PUNCT
cana-1289	3	74	,	,	PUNCT
cana-1289	3	75	and	and	CCONJ
cana-1289	3	76	improved	improved	ADJ
cana-1289	3	77	autoencoders	autoencoder	NOUN
cana-1289	3	78	to	to	PART
cana-1289	3	79	deliver	deliver	VERB
cana-1289	3	80	highly	highly	ADV
cana-1289	3	81	accurate	accurate	ADJ
cana-1289	3	82	and	and	CCONJ
cana-1289	3	83	tailored	tailor	VERB
cana-1289	3	84	product	product	NOUN
cana-1289	3	85	recommendations	recommendation	NOUN
cana-1289	3	86	.	.	PUNCT
cana-1289	4	1	conventional	conventional	ADJ
cana-1289	4	2	recommendation	recommendation	NOUN
cana-1289	4	3	methods	method	NOUN
cana-1289	4	4	including	include	VERB
cana-1289	4	5	collaborative	collaborative	ADJ
cana-1289	4	6	and	and	CCONJ
cana-1289	4	7	content	content	NOUN
cana-1289	4	8	-	-	PUNCT
cana-1289	4	9	based	base	VERB
cana-1289	4	10	filtering	filtering	NOUN
cana-1289	4	11	,	,	PUNCT
cana-1289	4	12	frequently	frequently	ADV
cana-1289	4	13	struggle	struggle	VERB
cana-1289	4	14	to	to	PART
cana-1289	4	15	accurately	accurately	ADV
cana-1289	4	16	capture	capture	VERB
cana-1289	4	17	the	the	DET
cana-1289	4	18	complex	complex	ADJ
cana-1289	4	19	and	and	CCONJ
cana-1289	4	20	everchanging	everchange	VERB
cana-1289	4	21	connections	connection	NOUN
cana-1289	4	22	between	between	ADP
cana-1289	4	23	users	user	NOUN
cana-1289	4	24	and	and	CCONJ
cana-1289	4	25	objects	object	NOUN
cana-1289	4	26	.	.	PUNCT
cana-1289	5	1	in	in	ADP
cana-1289	5	2	order	order	NOUN
cana-1289	5	3	to	to	PART
cana-1289	5	4	address	address	VERB
cana-1289	5	5	these	these	DET
cana-1289	5	6	constraints	constraint	NOUN
cana-1289	5	7	,	,	PUNCT
cana-1289	5	8	our	our	PRON
cana-1289	5	9	hybrid	hybrid	ADJ
cana-1289	5	10	approach	approach	NOUN
cana-1289	5	11	integrates	integrate	VERB
cana-1289	5	12	multiple	multiple	ADJ
cana-1289	5	13	deep	deep	ADJ
cana-1289	5	14	learning	learning	NOUN
cana-1289	5	15	methodologies	methodology	NOUN
cana-1289	5	16	to	to	PART
cana-1289	5	17	extract	extract	VERB
cana-1289	5	18	and	and	CCONJ
cana-1289	5	19	merge	merge	VERB
cana-1289	5	20	visual	visual	ADJ
cana-1289	5	21	,	,	PUNCT
cana-1289	5	22	temporal	temporal	ADJ
cana-1289	5	23	,	,	PUNCT
cana-1289	5	24	and	and	CCONJ
cana-1289	5	25	latent	latent	ADJ
cana-1289	5	26	characteristics	characteristic	NOUN
cana-1289	5	27	from	from	ADP
cana-1289	5	28	user	user	NOUN
cana-1289	5	29	interaction	interaction	NOUN
cana-1289	5	30	and	and	CCONJ
cana-1289	5	31	product	product	NOUN
cana-1289	5	32	data	datum	NOUN
cana-1289	5	33	.	.	PUNCT
cana-1289	6	1	the	the	DET
cana-1289	6	2	proposed	propose	VERB
cana-1289	6	3	method	method	NOUN
cana-1289	6	4	begins	begin	VERB
cana-1289	6	5	by	by	ADP
cana-1289	6	6	employing	employ	VERB
cana-1289	6	7	convolutional	convolutional	ADJ
cana-1289	6	8	neural	neural	ADJ
cana-1289	6	9	networks	network	NOUN
cana-1289	6	10	(	(	PUNCT
cana-1289	6	11	cnn	cnn	PROPN
cana-1289	6	12	)	)	PUNCT
cana-1289	6	13	with	with	ADP
cana-1289	6	14	layered	layered	ADJ
cana-1289	6	15	architectures	architecture	NOUN
cana-1289	6	16	to	to	PART
cana-1289	6	17	extract	extract	VERB
cana-1289	6	18	visually	visually	ADV
cana-1289	6	19	rich	rich	ADJ
cana-1289	6	20	and	and	CCONJ
cana-1289	6	21	high	high	ADJ
cana-1289	6	22	-	-	PUNCT
cana-1289	6	23	quality	quality	NOUN
cana-1289	6	24	features	feature	NOUN
cana-1289	6	25	from	from	ADP
cana-1289	6	26	product	product	NOUN
cana-1289	6	27	photos	photo	NOUN
cana-1289	6	28	.	.	PUNCT
cana-1289	7	1	afterwards	afterwards	ADV
cana-1289	7	2	,	,	PUNCT
cana-1289	7	3	these	these	DET
cana-1289	7	4	visual	visual	ADJ
cana-1289	7	5	characteristics	characteristic	NOUN
cana-1289	7	6	are	be	AUX
cana-1289	7	7	merged	merge	VERB
cana-1289	7	8	with	with	ADP
cana-1289	7	9	embedded	embed	VERB
cana-1289	7	10	metadata	metadata	NOUN
cana-1289	7	11	via	via	ADP
cana-1289	7	12	attention	attention	NOUN
cana-1289	7	13	mechanisms	mechanism	NOUN
cana-1289	7	14	,	,	PUNCT
cana-1289	7	15	thus	thus	ADV
cana-1289	7	16	guaranteeing	guarantee	VERB
cana-1289	7	17	the	the	DET
cana-1289	7	18	precise	precise	ADJ
cana-1289	7	19	acquisition	acquisition	NOUN
cana-1289	7	20	of	of	ADP
cana-1289	7	21	important	important	ADJ
cana-1289	7	22	visual	visual	ADJ
cana-1289	7	23	and	and	CCONJ
cana-1289	7	24	contextual	contextual	ADJ
cana-1289	7	25	data	datum	NOUN
cana-1289	7	26	.	.	PUNCT
cana-1289	8	1	subsequently	subsequently	ADV
cana-1289	8	2	,	,	PUNCT
cana-1289	8	3	bi	bi	ADJ
cana-1289	8	4	-	-	ADJ
cana-1289	8	5	directional	directional	ADJ
cana-1289	8	6	recurrent	recurrent	ADJ
cana-1289	8	7	neural	neural	ADJ
cana-1289	8	8	networks	network	NOUN
cana-1289	8	9	(	(	PUNCT
cana-1289	8	10	bi	bi	NOUN
cana-1289	8	11	-	-	NOUN
cana-1289	8	12	rnn	rnn	NOUN
cana-1289	8	13	)	)	PUNCT
cana-1289	8	14	are	be	AUX
cana-1289	8	15	used	use	VERB
cana-1289	8	16	to	to	PART
cana-1289	8	17	capture	capture	VERB
cana-1289	8	18	the	the	DET
cana-1289	8	19	temporal	temporal	ADJ
cana-1289	8	20	patterns	pattern	NOUN
cana-1289	8	21	of	of	ADP
cana-1289	8	22	user	user	NOUN
cana-1289	8	23	activities	activity	NOUN
cana-1289	8	24	,	,	PUNCT
cana-1289	8	25	so	so	CCONJ
cana-1289	8	26	providing	provide	VERB
cana-1289	8	27	a	a	DET
cana-1289	8	28	thorough	thorough	ADJ
cana-1289	8	29	comprehension	comprehension	NOUN
cana-1289	8	30	of	of	ADP
cana-1289	8	31	user	user	NOUN
cana-1289	8	32	behavior	behavior	NOUN
cana-1289	8	33	over	over	ADP
cana-1289	8	34	a	a	DET
cana-1289	8	35	prolonged	prolonged	ADJ
cana-1289	8	36	duration	duration	NOUN
cana-1289	8	37	.	.	PUNCT
cana-1289	9	1	ultimately	ultimately	ADV
cana-1289	9	2	,	,	PUNCT
cana-1289	9	3	the	the	DET
cana-1289	9	4	temporal	temporal	ADJ
cana-1289	9	5	features	feature	NOUN
cana-1289	9	6	are	be	AUX
cana-1289	9	7	combined	combine	VERB
cana-1289	9	8	with	with	ADP
cana-1289	9	9	the	the	DET
cana-1289	9	10	visual	visual	ADJ
cana-1289	9	11	features	feature	NOUN
cana-1289	9	12	to	to	PART
cana-1289	9	13	offer	offer	VERB
cana-1289	9	14	a	a	DET
cana-1289	9	15	unified	unified	ADJ
cana-1289	9	16	and	and	CCONJ
cana-1289	9	17	complete	complete	ADJ
cana-1289	9	18	user	user	NOUN
cana-1289	9	19	preferences	preference	NOUN
cana-1289	9	20	representation	representation	NOUN
cana-1289	9	21	,	,	PUNCT
cana-1289	9	22	leading	lead	VERB
cana-1289	9	23	to	to	ADP
cana-1289	9	24	a	a	DET
cana-1289	9	25	strong	strong	ADJ
cana-1289	9	26	and	and	CCONJ
cana-1289	9	27	well	well	ADV
cana-1289	9	28	-	-	PUNCT
cana-1289	9	29	balanced	balance	VERB
cana-1289	9	30	representation	representation	NOUN
cana-1289	9	31	.	.	PUNCT
cana-1289	10	1	to	to	PART
cana-1289	10	2	boost	boost	VERB
cana-1289	10	3	the	the	DET
cana-1289	10	4	accuracy	accuracy	NOUN
cana-1289	10	5	of	of	ADP
cana-1289	10	6	suggestions	suggestion	NOUN
cana-1289	10	7	,	,	PUNCT
cana-1289	10	8	the	the	DET
cana-1289	10	9	combined	combine	VERB
cana-1289	10	10	features	feature	NOUN
cana-1289	10	11	undergo	undergo	VERB
cana-1289	10	12	processing	processing	NOUN
cana-1289	10	13	using	use	VERB
cana-1289	10	14	an	an	DET
cana-1289	10	15	advanced	advanced	ADJ
cana-1289	10	16	autoencoder	autoencoder	NOUN
cana-1289	10	17	that	that	PRON
cana-1289	10	18	integrates	integrate	VERB
cana-1289	10	19	residual	residual	ADJ
cana-1289	10	20	blocks	block	NOUN
cana-1289	10	21	and	and	CCONJ
cana-1289	10	22	attention	attention	NOUN
cana-1289	10	23	processes	process	NOUN
cana-1289	10	24	.	.	PUNCT
cana-1289	11	1	this	this	DET
cana-1289	11	2	autoencoder	autoencoder	NOUN
cana-1289	11	3	utilizes	utilize	VERB
cana-1289	11	4	dimensionality	dimensionality	NOUN
cana-1289	11	5	reduction	reduction	NOUN
cana-1289	11	6	and	and	CCONJ
cana-1289	11	7	reconstruction	reconstruction	NOUN
cana-1289	11	8	techniques	technique	NOUN
cana-1289	11	9	to	to	PART
cana-1289	11	10	enhance	enhance	VERB
cana-1289	11	11	the	the	DET
cana-1289	11	12	features	feature	NOUN
cana-1289	11	13	and	and	CCONJ
cana-1289	11	14	eliminate	eliminate	VERB
cana-1289	11	15	noise	noise	NOUN
cana-1289	11	16	.	.	PUNCT
cana-1289	12	1	the	the	DET
cana-1289	12	2	resulting	result	VERB
cana-1289	12	3	brief	brief	ADJ
cana-1289	12	4	and	and	CCONJ
cana-1289	12	5	informative	informative	ADJ
cana-1289	12	6	representations	representation	NOUN
cana-1289	12	7	of	of	ADP
cana-1289	12	8	features	feature	NOUN
cana-1289	12	9	are	be	AUX
cana-1289	12	10	subsequently	subsequently	ADV
cana-1289	12	11	employed	employ	VERB
cana-1289	12	12	to	to	PART
cana-1289	12	13	create	create	VERB
cana-1289	12	14	suggestions	suggestion	NOUN
cana-1289	12	15	.	.	PUNCT
cana-1289	13	1	the	the	DET
cana-1289	13	2	validation	validation	NOUN
cana-1289	13	3	of	of	ADP
cana-1289	13	4	our	our	PRON
cana-1289	13	5	model	model	NOUN
cana-1289	13	6	is	be	AUX
cana-1289	13	7	conducted	conduct	VERB
cana-1289	13	8	using	use	VERB
cana-1289	13	9	the	the	DET
cana-1289	13	10	tmdb	tmdb	PROPN
cana-1289	13	11	dataset	dataset	NOUN
cana-1289	13	12	,	,	PUNCT
cana-1289	13	13	which	which	PRON
cana-1289	13	14	includes	include	VERB
cana-1289	13	15	comprehensive	comprehensive	ADJ
cana-1289	13	16	metadata	metadata	NOUN
cana-1289	13	17	,	,	PUNCT
cana-1289	13	18	textual	textual	ADJ
cana-1289	13	19	descriptions	description	NOUN
cana-1289	13	20	,	,	PUNCT
cana-1289	13	21	and	and	CCONJ
cana-1289	13	22	visual	visual	ADJ
cana-1289	13	23	content	content	NOUN
cana-1289	13	24	for	for	ADP
cana-1289	13	25	movies	movie	NOUN
cana-1289	13	26	.	.	PUNCT
cana-1289	14	1	the	the	DET
cana-1289	14	2	findings	finding	NOUN
cana-1289	14	3	of	of	ADP
cana-1289	14	4	our	our	PRON
cana-1289	14	5	experiment	experiment	NOUN
cana-1289	14	6	demonstrate	demonstrate	VERB
cana-1289	14	7	significant	significant	ADJ
cana-1289	14	8	enhancements	enhancement	NOUN
cana-1289	14	9	in	in	ADP
cana-1289	14	10	both	both	CCONJ
cana-1289	14	11	the	the	DET
cana-1289	14	12	accuracy	accuracy	NOUN
cana-1289	14	13	and	and	CCONJ
cana-1289	14	14	relevance	relevance	NOUN
cana-1289	14	15	of	of	ADP
cana-1289	14	16	recommendations	recommendation	NOUN
cana-1289	14	17	when	when	SCONJ
cana-1289	14	18	compared	compare	VERB
cana-1289	14	19	to	to	ADP
cana-1289	14	20	conventional	conventional	ADJ
cana-1289	14	21	methods	method	NOUN
cana-1289	14	22	and	and	CCONJ
cana-1289	14	23	other	other	ADJ
cana-1289	14	24	deep	deep	ADJ
cana-1289	14	25	learningbased	learningbase	VERB
cana-1289	14	26	approaches	approach	NOUN
cana-1289	14	27	.	.	PUNCT
cana-1289	15	1	specifically	specifically	ADV
cana-1289	15	2	,	,	PUNCT
cana-1289	15	3	our	our	PRON
cana-1289	15	4	approach	approach	NOUN
cana-1289	15	5	showcases	showcase	VERB
cana-1289	15	6	improved	improved	ADJ
cana-1289	15	7	efficiency	efficiency	NOUN
cana-1289	15	8	in	in	ADP
cana-1289	15	9	collecting	collect	VERB
cana-1289	15	10	complex	complex	ADJ
cana-1289	15	11	user	user	NOUN
cana-1289	15	12	-	-	PUNCT
cana-1289	15	13	item	item	NOUN
cana-1289	15	14	interactions	interaction	NOUN
cana-1289	15	15	and	and	CCONJ
cana-1289	15	16	adjusting	adjust	VERB
cana-1289	15	17	to	to	ADP
cana-1289	15	18	evolving	evolve	VERB
cana-1289	15	19	user	user	NOUN
cana-1289	15	20	preferences	preference	NOUN
cana-1289	15	21	over	over	ADP
cana-1289	15	22	time	time	NOUN
cana-1289	15	23	.	.	PUNCT
cana-1289	16	1	this	this	DET
cana-1289	16	2	hybrid	hybrid	ADJ
cana-1289	16	3	methodology	methodology	NOUN
cana-1289	16	4	provides	provide	VERB
cana-1289	16	5	a	a	DET
cana-1289	16	6	resilient	resilient	ADJ
cana-1289	16	7	solution	solution	NOUN
cana-1289	16	8	for	for	ADP
cana-1289	16	9	contemporary	contemporary	ADJ
cana-1289	16	10	recommender	recommender	NOUN
cana-1289	16	11	systems	system	NOUN
cana-1289	16	12	,	,	PUNCT
cana-1289	16	13	resulting	result	VERB
cana-1289	16	14	in	in	ADP
cana-1289	16	15	enhanced	enhanced	ADJ
cana-1289	16	16	and	and	CCONJ
cana-1289	16	17	tailored	tailor	VERB
cana-1289	16	18	user	user	NOUN
cana-1289	16	19	interactions	interaction	NOUN
cana-1289	16	20	.	.	PUNCT
cana-1289	17	1	keywords	keyword	NOUN
cana-1289	17	2	:	:	PUNCT
cana-1289	17	3	hybrid	hybrid	ADJ
cana-1289	17	4	recommender	recommender	NOUN
cana-1289	17	5	system	system	NOUN
cana-1289	17	6	,	,	PUNCT
cana-1289	17	7	convolutional	convolutional	ADJ
cana-1289	17	8	neural	neural	ADJ
cana-1289	17	9	networks(cnn	networks(cnn	NOUN
cana-1289	17	10	)	)	PUNCT
cana-1289	17	11	,	,	PUNCT
cana-1289	17	12	bidirectional	bidirectional	ADJ
cana-1289	17	13	recurrent	recurrent	ADJ
cana-1289	17	14	neural	neural	ADJ
cana-1289	17	15	networks(bi	networks(bi	NOUN
cana-1289	17	16	-	-	PUNCT
cana-1289	17	17	rnn	rnn	NOUN
cana-1289	17	18	)	)	PUNCT
cana-1289	17	19	,	,	PUNCT
cana-1289	17	20	enhanced	enhance	VERB
cana-1289	17	21	autoencoder	autoencoder	NOUN
cana-1289	17	22	,	,	PUNCT
cana-1289	17	23	temporal	temporal	ADJ
cana-1289	17	24	dynamics	dynamic	NOUN
cana-1289	17	25	,	,	PUNCT
cana-1289	17	26	feature	feature	NOUN
cana-1289	17	27	extraction	extraction	NOUN
cana-1289	17	28	,	,	PUNCT
cana-1289	17	29	tmdb	tmdb	PROPN
cana-1289	17	30	dataset	dataset	NOUN
cana-1289	17	31	,	,	PUNCT
cana-1289	17	32	personalized	personalized	ADJ
cana-1289	17	33	recommendations	recommendation	NOUN
cana-1289	17	34	,	,	PUNCT
cana-1289	17	35	deep	deep	ADJ
cana-1289	17	36	learning	learning	NOUN
cana-1289	17	37	,	,	PUNCT
cana-1289	17	38	attention	attention	NOUN
cana-1289	17	39	mechanisms	mechanism	NOUN
cana-1289	17	40	.	.	PUNCT
cana-1289	18	1	communications	communication	NOUN
cana-1289	18	2	on	on	ADP
cana-1289	18	3	applied	apply	VERB
cana-1289	18	4	nonlinear	nonlinear	ADJ
cana-1289	18	5	analysis	analysis	NOUN
cana-1289	18	6	issn	issn	NOUN
cana-1289	18	7	:	:	PUNCT
cana-1289	18	8	1074	1074	NUM
cana-1289	18	9	-	-	PUNCT
cana-1289	18	10	133x	133x	NUM
cana-1289	18	11	vol	vol	NOUN
cana-1289	18	12	31	31	NUM
cana-1289	18	13	no	no	NOUN
cana-1289	18	14	.	.	PUNCT
cana-1289	19	1	7s	7	NOUN
cana-1289	19	2	(	(	PUNCT
cana-1289	19	3	2024	2024	NUM
cana-1289	19	4	)	)	PUNCT
cana-1289	19	5	118	118	NUM
cana-1289	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	19	7	1	1	X
cana-1289	19	8	.	.	PUNCT
cana-1289	20	1	introduction	introduction	NOUN
cana-1289	20	2	user	user	NOUN
cana-1289	20	3	experiences	experience	NOUN
cana-1289	20	4	are	be	AUX
cana-1289	20	5	improved	improve	VERB
cana-1289	20	6	by	by	ADP
cana-1289	20	7	recommender	recommender	NOUN
cana-1289	20	8	systems	system	NOUN
cana-1289	20	9	,	,	PUNCT
cana-1289	20	10	which	which	PRON
cana-1289	20	11	have	have	AUX
cana-1289	20	12	been	be	AUX
cana-1289	20	13	demonstrated	demonstrate	VERB
cana-1289	20	14	to	to	PART
cana-1289	20	15	be	be	AUX
cana-1289	20	16	a	a	DET
cana-1289	20	17	critical	critical	ADJ
cana-1289	20	18	element	element	NOUN
cana-1289	20	19	in	in	ADP
cana-1289	20	20	variety	variety	NOUN
cana-1289	20	21	digital	digital	ADJ
cana-1289	20	22	platforms	platform	NOUN
cana-1289	20	23	like	like	ADP
cana-1289	20	24	e	e	NOUN
cana-1289	20	25	-	-	NOUN
cana-1289	20	26	commerce	commerce	NOUN
cana-1289	20	27	streaming	streaming	NOUN
cana-1289	20	28	services	service	NOUN
cana-1289	20	29	,	,	PUNCT
cana-1289	20	30	social	social	ADJ
cana-1289	20	31	networks	network	NOUN
cana-1289	20	32	,	,	PUNCT
cana-1289	20	33	and	and	CCONJ
cana-1289	20	34	online	online	ADJ
cana-1289	20	35	advertising	advertising	NOUN
cana-1289	20	36	.	.	PUNCT
cana-1289	21	1	they	they	PRON
cana-1289	21	2	provide	provide	VERB
cana-1289	21	3	personalized	personalized	ADJ
cana-1289	21	4	item	item	NOUN
cana-1289	21	5	suggestions	suggestion	NOUN
cana-1289	21	6	.	.	PUNCT
cana-1289	22	1	these	these	DET
cana-1289	22	2	systems	system	NOUN
cana-1289	22	3	are	be	AUX
cana-1289	22	4	primarily	primarily	ADV
cana-1289	22	5	intended	intend	VERB
cana-1289	22	6	to	to	PART
cana-1289	22	7	anticipate	anticipate	VERB
cana-1289	22	8	user	user	NOUN
cana-1289	22	9	preferences	preference	NOUN
cana-1289	22	10	and	and	CCONJ
cana-1289	22	11	promote	promote	VERB
cana-1289	22	12	items	item	NOUN
cana-1289	22	13	that	that	PRON
cana-1289	22	14	are	be	AUX
cana-1289	22	15	most	most	ADV
cana-1289	22	16	probable	probable	ADJ
cana-1289	22	17	to	to	PART
cana-1289	22	18	be	be	AUX
cana-1289	22	19	of	of	ADP
cana-1289	22	20	interest	interest	NOUN
cana-1289	22	21	,	,	PUNCT
cana-1289	22	22	such	such	ADJ
cana-1289	22	23	as	as	ADP
cana-1289	22	24	products	product	NOUN
cana-1289	22	25	,	,	PUNCT
cana-1289	22	26	movies	movie	NOUN
cana-1289	22	27	,	,	PUNCT
cana-1289	22	28	music	music	NOUN
cana-1289	22	29	,	,	PUNCT
cana-1289	22	30	or	or	CCONJ
cana-1289	22	31	content	content	NOUN
cana-1289	22	32	.	.	PUNCT
cana-1289	23	1	this	this	PRON
cana-1289	23	2	ultimately	ultimately	ADV
cana-1289	23	3	leads	lead	VERB
cana-1289	23	4	to	to	ADP
cana-1289	23	5	business	business	NOUN
cana-1289	23	6	success	success	NOUN
cana-1289	23	7	,	,	PUNCT
cana-1289	23	8	satisfaction	satisfaction	NOUN
cana-1289	23	9	,	,	PUNCT
cana-1289	23	10	and	and	CCONJ
cana-1289	23	11	user	user	NOUN
cana-1289	23	12	engagement	engagement	NOUN
cana-1289	23	13	[	[	X
cana-1289	23	14	1][2	1][2	PROPN
cana-1289	23	15	]	]	PUNCT
cana-1289	23	16	.	.	PUNCT
cana-1289	24	1	content	content	NOUN
cana-1289	24	2	-	-	PUNCT
cana-1289	24	3	based	base	VERB
cana-1289	24	4	filtering	filtering	NOUN
cana-1289	24	5	(	(	PUNCT
cana-1289	24	6	cbf	cbf	PROPN
cana-1289	24	7	)	)	PUNCT
cana-1289	24	8	and	and	CCONJ
cana-1289	24	9	collaborative	collaborative	ADJ
cana-1289	24	10	filtering	filtering	NOUN
cana-1289	24	11	(	(	PUNCT
cana-1289	24	12	cf	cf	NOUN
cana-1289	24	13	)	)	PUNCT
cana-1289	24	14	are	be	AUX
cana-1289	24	15	popular	popular	ADJ
cana-1289	24	16	recommendation	recommendation	NOUN
cana-1289	24	17	methods	method	NOUN
cana-1289	24	18	.	.	PUNCT
cana-1289	25	1	collaborative	collaborative	ADJ
cana-1289	25	2	filtering	filtering	PROPN
cana-1289	25	3	uses	use	VERB
cana-1289	25	4	user	user	NOUN
cana-1289	25	5	-	-	PUNCT
cana-1289	25	6	item	item	NOUN
cana-1289	25	7	interaction	interaction	NOUN
cana-1289	25	8	data	datum	NOUN
cana-1289	25	9	to	to	PART
cana-1289	25	10	analyse	analyse	VERB
cana-1289	25	11	trends	trend	NOUN
cana-1289	25	12	and	and	CCONJ
cana-1289	25	13	suggest	suggest	VERB
cana-1289	25	14	items	item	NOUN
cana-1289	25	15	that	that	SCONJ
cana-1289	25	16	similar	similar	ADJ
cana-1289	25	17	users	user	NOUN
cana-1289	25	18	have	have	AUX
cana-1289	25	19	preferred	prefer	VERB
cana-1289	25	20	.	.	PUNCT
cana-1289	26	1	although	although	SCONJ
cana-1289	26	2	,	,	PUNCT
cana-1289	26	3	content	content	NOUN
cana-1289	26	4	-	-	PUNCT
cana-1289	26	5	based	base	VERB
cana-1289	26	6	filtering	filtering	NOUN
cana-1289	26	7	implies	imply	VERB
cana-1289	26	8	by	by	ADP
cana-1289	26	9	examining	examine	VERB
cana-1289	26	10	a	a	DET
cana-1289	26	11	user	user	NOUN
cana-1289	26	12	's	's	PART
cana-1289	26	13	past	past	ADJ
cana-1289	26	14	interactions	interaction	NOUN
cana-1289	26	15	and	and	CCONJ
cana-1289	26	16	finds	find	VERB
cana-1289	26	17	comparable	comparable	ADJ
cana-1289	26	18	products	product	NOUN
cana-1289	26	19	.	.	PUNCT
cana-1289	27	1	although	although	SCONJ
cana-1289	27	2	these	these	DET
cana-1289	27	3	traditional	traditional	ADJ
cana-1289	27	4	methods	method	NOUN
cana-1289	27	5	have	have	AUX
cana-1289	27	6	shown	show	VERB
cana-1289	27	7	some	some	DET
cana-1289	27	8	effectiveness	effectiveness	NOUN
cana-1289	27	9	,	,	PUNCT
cana-1289	27	10	they	they	PRON
cana-1289	27	11	do	do	AUX
cana-1289	27	12	have	have	VERB
cana-1289	27	13	a	a	DET
cana-1289	27	14	number	number	NOUN
cana-1289	27	15	of	of	ADP
cana-1289	27	16	significant	significant	ADJ
cana-1289	27	17	limitations	limitation	NOUN
cana-1289	27	18	.	.	PUNCT
cana-1289	28	1	network	network	NOUN
cana-1289	28	2	architects	architect	NOUN
cana-1289	28	3	often	often	ADV
cana-1289	28	4	encounter	encounter	VERB
cana-1289	28	5	the	the	DET
cana-1289	28	6	issue	issue	NOUN
cana-1289	28	7	of	of	ADP
cana-1289	28	8	a	a	DET
cana-1289	28	9	cold	cold	ADJ
cana-1289	28	10	start	start	NOUN
cana-1289	28	11	,	,	PUNCT
cana-1289	28	12	which	which	PRON
cana-1289	28	13	happens	happen	VERB
cana-1289	28	14	when	when	SCONJ
cana-1289	28	15	new	new	ADJ
cana-1289	28	16	users	user	NOUN
cana-1289	28	17	or	or	CCONJ
cana-1289	28	18	things	thing	NOUN
cana-1289	28	19	lack	lack	VERB
cana-1289	28	20	interaction	interaction	NOUN
cana-1289	28	21	data	datum	NOUN
cana-1289	28	22	to	to	PART
cana-1289	28	23	make	make	VERB
cana-1289	28	24	correct	correct	ADJ
cana-1289	28	25	recommendations	recommendation	NOUN
cana-1289	28	26	.	.	PUNCT
cana-1289	29	1	these	these	DET
cana-1289	29	2	approaches	approach	NOUN
cana-1289	29	3	also	also	ADV
cana-1289	29	4	struggle	struggle	VERB
cana-1289	29	5	to	to	PART
cana-1289	29	6	capture	capture	VERB
cana-1289	29	7	complex	complex	ADJ
cana-1289	29	8	,	,	PUNCT
cana-1289	29	9	non	non	ADJ
cana-1289	29	10	-	-	ADJ
cana-1289	29	11	linear	linear	ADJ
cana-1289	29	12	useritem	useritem	ADJ
cana-1289	29	13	relationships	relationship	NOUN
cana-1289	29	14	,	,	PUNCT
cana-1289	29	15	which	which	PRON
cana-1289	29	16	can	can	AUX
cana-1289	29	17	reduce	reduce	VERB
cana-1289	29	18	recommendation	recommendation	NOUN
cana-1289	29	19	accuracy	accuracy	NOUN
cana-1289	29	20	and	and	CCONJ
cana-1289	29	21	relevance	relevance	NOUN
cana-1289	30	1	[	[	X
cana-1289	30	2	3][4	3][4	NUM
cana-1289	30	3	]	]	X
cana-1289	30	4	.	.	PUNCT
cana-1289	31	1	in	in	ADP
cana-1289	31	2	recent	recent	ADJ
cana-1289	31	3	years	year	NOUN
cana-1289	31	4	integration	integration	NOUN
cana-1289	31	5	of	of	ADP
cana-1289	31	6	deep	deep	ADJ
cana-1289	31	7	learning	learning	NOUN
cana-1289	31	8	models	model	NOUN
cana-1289	31	9	into	into	ADP
cana-1289	31	10	recommendation	recommendation	NOUN
cana-1289	31	11	systems	system	NOUN
cana-1289	31	12	had	have	AUX
cana-1289	31	13	demonstrated	demonstrate	VERB
cana-1289	31	14	significant	significant	ADJ
cana-1289	31	15	promise	promise	NOUN
cana-1289	31	16	in	in	ADP
cana-1289	31	17	addressing	address	VERB
cana-1289	31	18	these	these	DET
cana-1289	31	19	limitations	limitation	NOUN
cana-1289	31	20	.	.	PUNCT
cana-1289	32	1	deep	deep	ADJ
cana-1289	32	2	learning	learning	NOUN
cana-1289	32	3	models	model	NOUN
cana-1289	32	4	have	have	AUX
cana-1289	32	5	greatly	greatly	ADV
cana-1289	32	6	advanced	advance	VERB
cana-1289	32	7	the	the	DET
cana-1289	32	8	field	field	NOUN
cana-1289	32	9	by	by	ADP
cana-1289	32	10	providing	provide	VERB
cana-1289	32	11	more	more	ADV
cana-1289	32	12	accurate	accurate	ADJ
cana-1289	32	13	and	and	CCONJ
cana-1289	32	14	personalized	personalized	ADJ
cana-1289	32	15	recommendations	recommendation	NOUN
cana-1289	32	16	.	.	PUNCT
cana-1289	33	1	their	their	PRON
cana-1289	33	2	ability	ability	NOUN
cana-1289	33	3	to	to	PART
cana-1289	33	4	learn	learn	VERB
cana-1289	33	5	complex	complex	ADJ
cana-1289	33	6	patterns	pattern	NOUN
cana-1289	33	7	from	from	ADP
cana-1289	33	8	large	large	ADJ
cana-1289	33	9	datasets	dataset	NOUN
cana-1289	33	10	has	have	AUX
cana-1289	33	11	been	be	AUX
cana-1289	33	12	instrumental	instrumental	ADJ
cana-1289	33	13	in	in	ADP
cana-1289	33	14	this	this	DET
cana-1289	33	15	progress	progress	NOUN
cana-1289	33	16	.	.	PUNCT
cana-1289	34	1	the	the	DET
cana-1289	34	2	information	information	NOUN
cana-1289	34	3	can	can	AUX
cana-1289	34	4	be	be	AUX
cana-1289	34	5	found	find	VERB
cana-1289	34	6	in	in	ADP
cana-1289	34	7	references	reference	NOUN
cana-1289	34	8	[	[	X
cana-1289	34	9	5	5	NUM
cana-1289	34	10	]	]	PUNCT
cana-1289	34	11	and	and	CCONJ
cana-1289	34	12	[	[	X
cana-1289	34	13	6	6	NUM
cana-1289	34	14	]	]	PUNCT
cana-1289	34	15	.	.	PUNCT
cana-1289	35	1	cnn	cnn	PROPN
cana-1289	35	2	was	be	AUX
cana-1289	35	3	highly	highly	ADV
cana-1289	35	4	effective	effective	ADJ
cana-1289	35	5	in	in	ADP
cana-1289	35	6	extracting	extract	VERB
cana-1289	35	7	intricate	intricate	ADJ
cana-1289	35	8	visual	visual	ADJ
cana-1289	35	9	information	information	NOUN
cana-1289	35	10	from	from	ADP
cana-1289	35	11	photos	photo	NOUN
cana-1289	35	12	.	.	PUNCT
cana-1289	36	1	this	this	DET
cana-1289	36	2	feature	feature	NOUN
cana-1289	36	3	is	be	AUX
cana-1289	36	4	especially	especially	ADV
cana-1289	36	5	advantageous	advantageous	ADJ
cana-1289	36	6	in	in	ADP
cana-1289	36	7	fields	field	NOUN
cana-1289	36	8	like	like	ADP
cana-1289	36	9	e	e	NOUN
cana-1289	36	10	-	-	NOUN
cana-1289	36	11	commerce	commerce	NOUN
cana-1289	36	12	and	and	CCONJ
cana-1289	36	13	video	video	NOUN
cana-1289	36	14	streaming	streaming	NOUN
cana-1289	36	15	,	,	PUNCT
cana-1289	36	16	where	where	SCONJ
cana-1289	36	17	visual	visual	ADJ
cana-1289	36	18	material	material	NOUN
cana-1289	36	19	significantly	significantly	ADV
cana-1289	36	20	impacts	impact	VERB
cana-1289	36	21	customer	customer	NOUN
cana-1289	36	22	preferences	preference	NOUN
cana-1289	36	23	[	[	X
cana-1289	36	24	7	7	NUM
cana-1289	36	25	]	]	PUNCT
cana-1289	36	26	.	.	PUNCT
cana-1289	37	1	rnn	rnn	VERB
cana-1289	37	2	specifically	specifically	ADV
cana-1289	37	3	long	long	ADJ
cana-1289	37	4	short	short	ADJ
cana-1289	37	5	-	-	PUNCT
cana-1289	37	6	term	term	NOUN
cana-1289	37	7	memory	memory	NOUN
cana-1289	37	8	(	(	PUNCT
cana-1289	37	9	lstm	lstm	NOUN
cana-1289	37	10	)	)	PUNCT
cana-1289	37	11	networks	network	NOUN
cana-1289	37	12	and	and	CCONJ
cana-1289	37	13	bi	bi	ADJ
cana-1289	37	14	-	-	ADJ
cana-1289	37	15	directional	directional	ADJ
cana-1289	37	16	rnns	rnn	NOUN
cana-1289	37	17	,	,	PUNCT
cana-1289	37	18	are	be	AUX
cana-1289	37	19	very	very	ADV
cana-1289	37	20	suitable	suitable	ADJ
cana-1289	37	21	for	for	ADP
cana-1289	37	22	representing	represent	VERB
cana-1289	37	23	temporal	temporal	ADJ
cana-1289	37	24	dynamics	dynamic	NOUN
cana-1289	37	25	.	.	PUNCT
cana-1289	38	1	this	this	PRON
cana-1289	38	2	is	be	AUX
cana-1289	38	3	because	because	SCONJ
cana-1289	38	4	they	they	PRON
cana-1289	38	5	properly	properly	ADV
cana-1289	38	6	capture	capture	VERB
cana-1289	38	7	user	user	NOUN
cana-1289	38	8	interaction	interaction	NOUN
cana-1289	38	9	sequences	sequence	NOUN
cana-1289	38	10	.	.	PUNCT
cana-1289	39	1	by	by	ADP
cana-1289	39	2	analyzing	analyze	VERB
cana-1289	39	3	the	the	DET
cana-1289	39	4	sequence	sequence	NOUN
cana-1289	39	5	of	of	ADP
cana-1289	39	6	user	user	NOUN
cana-1289	39	7	activities	activity	NOUN
cana-1289	39	8	,	,	PUNCT
cana-1289	39	9	these	these	DET
cana-1289	39	10	networks	network	NOUN
cana-1289	39	11	are	be	AUX
cana-1289	39	12	able	able	ADJ
cana-1289	39	13	to	to	PART
cana-1289	39	14	anticipate	anticipate	VERB
cana-1289	39	15	future	future	ADJ
cana-1289	39	16	preferences	preference	NOUN
cana-1289	39	17	,	,	PUNCT
cana-1289	39	18	thereby	thereby	ADV
cana-1289	39	19	improving	improve	VERB
cana-1289	39	20	the	the	DET
cana-1289	39	21	timeliness	timeliness	NOUN
cana-1289	39	22	of	of	ADP
cana-1289	39	23	recommendations	recommendation	NOUN
cana-1289	39	24	[	[	X
cana-1289	39	25	8][9	8][9	NOUN
cana-1289	39	26	]	]	X
cana-1289	39	27	.	.	PUNCT
cana-1289	40	1	autoencoders	autoencoder	NOUN
cana-1289	40	2	,	,	PUNCT
cana-1289	40	3	a	a	DET
cana-1289	40	4	powerful	powerful	ADJ
cana-1289	40	5	deep	deep	ADJ
cana-1289	40	6	learning	learning	NOUN
cana-1289	40	7	model	model	NOUN
cana-1289	40	8	,	,	PUNCT
cana-1289	40	9	are	be	AUX
cana-1289	40	10	used	use	VERB
cana-1289	40	11	to	to	PART
cana-1289	40	12	reduce	reduce	VERB
cana-1289	40	13	dimensionality	dimensionality	NOUN
cana-1289	40	14	and	and	CCONJ
cana-1289	40	15	learn	learn	VERB
cana-1289	40	16	features	feature	NOUN
cana-1289	40	17	.	.	PUNCT
cana-1289	41	1	these	these	DET
cana-1289	41	2	models	model	NOUN
cana-1289	41	3	have	have	VERB
cana-1289	41	4	the	the	DET
cana-1289	41	5	ability	ability	NOUN
cana-1289	41	6	to	to	PART
cana-1289	41	7	reduce	reduce	VERB
cana-1289	41	8	the	the	DET
cana-1289	41	9	dimensionality	dimensionality	NOUN
cana-1289	41	10	of	of	ADP
cana-1289	41	11	user	user	NOUN
cana-1289	41	12	-	-	PUNCT
cana-1289	41	13	item	item	NOUN
cana-1289	41	14	interaction	interaction	NOUN
cana-1289	41	15	data	datum	NOUN
cana-1289	41	16	,	,	PUNCT
cana-1289	41	17	revealing	reveal	VERB
cana-1289	41	18	hidden	hidden	ADJ
cana-1289	41	19	patterns	pattern	NOUN
cana-1289	41	20	that	that	PRON
cana-1289	41	21	may	may	AUX
cana-1289	41	22	be	be	AUX
cana-1289	41	23	missed	miss	VERB
cana-1289	41	24	by	by	ADP
cana-1289	41	25	conventional	conventional	ADJ
cana-1289	41	26	approaches	approach	NOUN
cana-1289	41	27	.	.	PUNCT
cana-1289	42	1	moreover	moreover	ADV
cana-1289	42	2	,	,	PUNCT
cana-1289	42	3	autoencoders	autoencoder	NOUN
cana-1289	42	4	contribute	contribute	VERB
cana-1289	42	5	to	to	ADP
cana-1289	42	6	the	the	DET
cana-1289	42	7	denoising	denoising	NOUN
cana-1289	42	8	of	of	ADP
cana-1289	42	9	data	datum	NOUN
cana-1289	42	10	and	and	CCONJ
cana-1289	42	11	the	the	DET
cana-1289	42	12	improvement	improvement	NOUN
cana-1289	42	13	of	of	ADP
cana-1289	42	14	recommendation	recommendation	NOUN
cana-1289	42	15	systems	system	NOUN
cana-1289	42	16	'	'	PART
cana-1289	42	17	resilience	resilience	NOUN
cana-1289	42	18	by	by	ADP
cana-1289	42	19	recreating	recreate	VERB
cana-1289	42	20	these	these	DET
cana-1289	42	21	compressed	compress	VERB
cana-1289	42	22	features	feature	NOUN
cana-1289	42	23	[	[	X
cana-1289	42	24	10][11	10][11	NUM
cana-1289	42	25	]	]	PUNCT
cana-1289	42	26	.	.	PUNCT
cana-1289	43	1	the	the	DET
cana-1289	43	2	following	follow	VERB
cana-1289	43	3	research	research	NOUN
cana-1289	43	4	paper	paper	NOUN
cana-1289	43	5	presents	present	VERB
cana-1289	43	6	a	a	DET
cana-1289	43	7	new	new	ADJ
cana-1289	43	8	hybrid	hybrid	ADJ
cana-1289	43	9	recommendation	recommendation	NOUN
cana-1289	43	10	system	system	NOUN
cana-1289	43	11	that	that	PRON
cana-1289	43	12	combine	combine	VERB
cana-1289	43	13	the	the	DET
cana-1289	43	14	benefits	benefit	NOUN
cana-1289	43	15	of	of	ADP
cana-1289	43	16	cnns	cnn	NOUN
cana-1289	43	17	,	,	PUNCT
cana-1289	43	18	bnns	bnn	NOUN
cana-1289	43	19	,	,	PUNCT
cana-1289	43	20	and	and	CCONJ
cana-1289	43	21	enhanced	enhanced	ADJ
cana-1289	43	22	autoencoders	autoencoder	NOUN
cana-1289	43	23	(	(	PUNCT
cana-1289	43	24	aes	aes	PROPN
cana-1289	43	25	)	)	PUNCT
cana-1289	43	26	effectively	effectively	ADV
cana-1289	43	27	.	.	PUNCT
cana-1289	44	1	this	this	DET
cana-1289	44	2	approach	approach	NOUN
cana-1289	44	3	uses	use	VERB
cana-1289	44	4	cnn	cnn	PROPN
cana-1289	44	5	to	to	PART
cana-1289	44	6	extract	extract	VERB
cana-1289	44	7	advanced	advanced	ADJ
cana-1289	44	8	visual	visual	ADJ
cana-1289	44	9	characteristics	characteristic	NOUN
cana-1289	44	10	from	from	ADP
cana-1289	44	11	product	product	NOUN
cana-1289	44	12	images	image	NOUN
cana-1289	44	13	.	.	PUNCT
cana-1289	45	1	it	it	PRON
cana-1289	45	2	also	also	ADV
cana-1289	45	3	employs	employ	VERB
cana-1289	45	4	bi	bi	ADJ
cana-1289	45	5	-	-	ADJ
cana-1289	45	6	directional	directional	ADJ
cana-1289	45	7	recurrent	recurrent	ADJ
cana-1289	45	8	neural	neural	ADJ
cana-1289	45	9	networks	network	NOUN
cana-1289	45	10	(	(	PUNCT
cana-1289	45	11	rnns	rnns	PROPN
cana-1289	45	12	)	)	PUNCT
cana-1289	45	13	to	to	PART
cana-1289	45	14	capture	capture	VERB
cana-1289	45	15	the	the	DET
cana-1289	45	16	temporal	temporal	ADJ
cana-1289	45	17	patterns	pattern	NOUN
cana-1289	45	18	of	of	ADP
cana-1289	45	19	user	user	NOUN
cana-1289	45	20	interactions	interaction	NOUN
cana-1289	45	21	.	.	PUNCT
cana-1289	46	1	additionally	additionally	ADV
cana-1289	46	2	,	,	PUNCT
cana-1289	46	3	enhanced	enhanced	ADJ
cana-1289	46	4	autoencoders	autoencoder	NOUN
cana-1289	46	5	(	(	PUNCT
cana-1289	46	6	aes	aes	PROPN
cana-1289	46	7	)	)	PUNCT
cana-1289	46	8	are	be	AUX
cana-1289	46	9	used	use	VERB
cana-1289	46	10	for	for	ADP
cana-1289	46	11	reducing	reduce	VERB
cana-1289	46	12	dimensions	dimension	NOUN
cana-1289	46	13	and	and	CCONJ
cana-1289	46	14	reconstructing	reconstruct	VERB
cana-1289	46	15	features	feature	NOUN
cana-1289	46	16	.	.	PUNCT
cana-1289	47	1	the	the	DET
cana-1289	47	2	objective	objective	NOUN
cana-1289	47	3	of	of	ADP
cana-1289	47	4	this	this	DET
cana-1289	47	5	approach	approach	NOUN
cana-1289	47	6	is	be	AUX
cana-1289	47	7	to	to	PART
cana-1289	47	8	surpass	surpass	VERB
cana-1289	47	9	the	the	DET
cana-1289	47	10	constraints	constraint	NOUN
cana-1289	47	11	of	of	ADP
cana-1289	47	12	conventional	conventional	ADJ
cana-1289	47	13	methods	method	NOUN
cana-1289	47	14	and	and	CCONJ
cana-1289	47	15	improve	improve	VERB
cana-1289	47	16	user	user	NOUN
cana-1289	47	17	satisfaction	satisfaction	NOUN
cana-1289	47	18	by	by	ADP
cana-1289	47	19	offering	offer	VERB
cana-1289	47	20	a	a	DET
cana-1289	47	21	more	more	ADV
cana-1289	47	22	comprehensive	comprehensive	ADJ
cana-1289	47	23	and	and	CCONJ
cana-1289	47	24	precise	precise	ADJ
cana-1289	47	25	recommendation	recommendation	NOUN
cana-1289	47	26	system	system	NOUN
cana-1289	47	27	.	.	PUNCT
cana-1289	48	1	communications	communication	NOUN
cana-1289	48	2	on	on	ADP
cana-1289	48	3	applied	apply	VERB
cana-1289	48	4	nonlinear	nonlinear	ADJ
cana-1289	48	5	analysis	analysis	NOUN
cana-1289	48	6	issn	issn	NOUN
cana-1289	48	7	:	:	PUNCT
cana-1289	48	8	1074	1074	NUM
cana-1289	48	9	-	-	PUNCT
cana-1289	48	10	133x	133x	NUM
cana-1289	48	11	vol	vol	NOUN
cana-1289	48	12	31	31	NUM
cana-1289	48	13	no	no	NOUN
cana-1289	48	14	.	.	PUNCT
cana-1289	49	1	7s	7	NOUN
cana-1289	49	2	(	(	PUNCT
cana-1289	49	3	2024	2024	NUM
cana-1289	49	4	)	)	PUNCT
cana-1289	49	5	119	119	NUM
cana-1289	49	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	50	1	our	our	PRON
cana-1289	50	2	contributions	contribution	NOUN
cana-1289	50	3	can	can	AUX
cana-1289	50	4	be	be	AUX
cana-1289	50	5	divided	divide	VERB
cana-1289	50	6	into	into	ADP
cana-1289	50	7	three	three	NUM
cana-1289	50	8	main	main	ADJ
cana-1289	50	9	areas	area	NOUN
cana-1289	50	10	:	:	PUNCT
cana-1289	51	1	1	1	X
cana-1289	51	2	.	.	X
cana-1289	51	3	the	the	DET
cana-1289	51	4	proposed	propose	VERB
cana-1289	51	5	model	model	NOUN
cana-1289	51	6	architecture	architecture	NOUN
cana-1289	51	7	is	be	AUX
cana-1289	51	8	an	an	DET
cana-1289	51	9	integration	integration	NOUN
cana-1289	51	10	of	of	ADP
cana-1289	51	11	cnn	cnn	PROPN
cana-1289	51	12	,	,	PUNCT
cana-1289	51	13	bi	bi	ADJ
cana-1289	51	14	-	-	ADJ
cana-1289	51	15	directional	directional	ADJ
cana-1289	51	16	rnn	rnn	NOUN
cana-1289	51	17	,	,	PUNCT
cana-1289	51	18	and	and	CCONJ
cana-1289	51	19	augmented	augment	VERB
cana-1289	51	20	autoencoders	autoencoder	NOUN
cana-1289	51	21	.	.	PUNCT
cana-1289	52	1	this	this	DET
cana-1289	52	2	hybrid	hybrid	ADJ
cana-1289	52	3	model	model	NOUN
cana-1289	52	4	effectively	effectively	ADV
cana-1289	52	5	captures	capture	VERB
cana-1289	52	6	visual	visual	ADJ
cana-1289	52	7	,	,	PUNCT
cana-1289	52	8	temporal	temporal	ADJ
cana-1289	52	9	,	,	PUNCT
cana-1289	52	10	and	and	CCONJ
cana-1289	52	11	latent	latent	ADJ
cana-1289	52	12	information	information	NOUN
cana-1289	52	13	in	in	ADP
cana-1289	52	14	a	a	DET
cana-1289	52	15	complete	complete	ADJ
cana-1289	52	16	manner	manner	NOUN
cana-1289	52	17	.	.	PUNCT
cana-1289	53	1	2	2	X
cana-1289	53	2	.	.	X
cana-1289	53	3	empirical	empirical	ADJ
cana-1289	53	4	validation	validation	NOUN
cana-1289	53	5	:	:	PUNCT
cana-1289	53	6	our	our	PRON
cana-1289	53	7	proposed	propose	VERB
cana-1289	53	8	model	model	NOUN
cana-1289	53	9	is	be	AUX
cana-1289	53	10	validated	validate	VERB
cana-1289	53	11	using	use	VERB
cana-1289	53	12	the	the	DET
cana-1289	53	13	tmdb	tmdb	NOUN
cana-1289	53	14	(	(	PUNCT
cana-1289	53	15	the	the	DET
cana-1289	53	16	movie	movie	NOUN
cana-1289	53	17	database	database	NOUN
cana-1289	53	18	)	)	PUNCT
cana-1289	53	19	dataset	dataset	NOUN
cana-1289	53	20	,	,	PUNCT
cana-1289	53	21	which	which	PRON
cana-1289	53	22	provides	provide	VERB
cana-1289	53	23	a	a	DET
cana-1289	53	24	comprehensive	comprehensive	ADJ
cana-1289	53	25	collection	collection	NOUN
cana-1289	53	26	of	of	ADP
cana-1289	53	27	data	datum	NOUN
cana-1289	53	28	,	,	PUNCT
cana-1289	53	29	including	include	VERB
cana-1289	53	30	metadata	metadata	NOUN
cana-1289	53	31	,	,	PUNCT
cana-1289	53	32	user	user	NOUN
cana-1289	53	33	ratings	rating	NOUN
cana-1289	53	34	,	,	PUNCT
cana-1289	53	35	and	and	CCONJ
cana-1289	53	36	visual	visual	ADJ
cana-1289	53	37	content	content	NOUN
cana-1289	53	38	.	.	PUNCT
cana-1289	54	1	our	our	PRON
cana-1289	54	2	results	result	NOUN
cana-1289	54	3	demonstrate	demonstrate	VERB
cana-1289	54	4	substantial	substantial	ADJ
cana-1289	54	5	enhancements	enhancement	NOUN
cana-1289	54	6	in	in	ADP
cana-1289	54	7	recommendation	recommendation	NOUN
cana-1289	54	8	precision	precision	NOUN
cana-1289	54	9	and	and	CCONJ
cana-1289	54	10	pertinence	pertinence	NOUN
cana-1289	54	11	when	when	SCONJ
cana-1289	54	12	compared	compare	VERB
cana-1289	54	13	to	to	ADP
cana-1289	54	14	conventional	conventional	ADJ
cana-1289	54	15	and	and	CCONJ
cana-1289	54	16	alternative	alternative	ADJ
cana-1289	54	17	deep	deep	ADJ
cana-1289	54	18	learning	learning	NOUN
cana-1289	54	19	approaches	approach	NOUN
cana-1289	54	20	.	.	PUNCT
cana-1289	55	1	3	3	X
cana-1289	55	2	.	.	X
cana-1289	55	3	extensive	extensive	ADJ
cana-1289	55	4	analysis	analysis	NOUN
cana-1289	55	5	:	:	PUNCT
cana-1289	55	6	we	we	PRON
cana-1289	55	7	analyze	analyze	VERB
cana-1289	55	8	our	our	PRON
cana-1289	55	9	model	model	NOUN
cana-1289	55	10	's	's	PART
cana-1289	55	11	performance	performance	NOUN
cana-1289	55	12	and	and	CCONJ
cana-1289	55	13	emphasize	emphasize	VERB
cana-1289	55	14	the	the	DET
cana-1289	55	15	benefits	benefit	NOUN
cana-1289	55	16	of	of	ADP
cana-1289	55	17	better	well	ADJ
cana-1289	55	18	feature	feature	NOUN
cana-1289	55	19	extraction	extraction	NOUN
cana-1289	55	20	and	and	CCONJ
cana-1289	55	21	temporal	temporal	ADJ
cana-1289	55	22	dynamics	dynamic	NOUN
cana-1289	55	23	modeling	modeling	NOUN
cana-1289	55	24	.	.	PUNCT
cana-1289	56	1	in	in	ADP
cana-1289	56	2	addition	addition	NOUN
cana-1289	56	3	,	,	PUNCT
cana-1289	56	4	we	we	PRON
cana-1289	56	5	analyze	analyze	VERB
cana-1289	56	6	the	the	DET
cana-1289	56	7	practical	practical	ADJ
cana-1289	56	8	consequences	consequence	NOUN
cana-1289	56	9	of	of	ADP
cana-1289	56	10	our	our	PRON
cana-1289	56	11	discoveries	discovery	NOUN
cana-1289	56	12	for	for	ADP
cana-1289	56	13	real	real	ADJ
cana-1289	56	14	-	-	PUNCT
cana-1289	56	15	life	life	NOUN
cana-1289	56	16	implementations	implementation	NOUN
cana-1289	56	17	and	and	CCONJ
cana-1289	56	18	propose	propose	VERB
cana-1289	56	19	possible	possible	ADJ
cana-1289	56	20	avenues	avenue	NOUN
cana-1289	56	21	for	for	ADP
cana-1289	56	22	future	future	ADJ
cana-1289	56	23	investigation	investigation	NOUN
cana-1289	56	24	.	.	PUNCT
cana-1289	57	1	the	the	DET
cana-1289	57	2	primary	primary	ADJ
cana-1289	57	3	goal	goal	NOUN
cana-1289	57	4	of	of	ADP
cana-1289	57	5	this	this	DET
cana-1289	57	6	project	project	NOUN
cana-1289	57	7	is	be	AUX
cana-1289	57	8	to	to	PART
cana-1289	57	9	improve	improve	VERB
cana-1289	57	10	personalized	personalized	ADJ
cana-1289	57	11	recommendation	recommendation	NOUN
cana-1289	57	12	systems	system	NOUN
cana-1289	57	13	by	by	ADP
cana-1289	57	14	developing	develop	VERB
cana-1289	57	15	a	a	DET
cana-1289	57	16	complete	complete	ADJ
cana-1289	57	17	deep	deep	ADJ
cana-1289	57	18	learning	learning	NOUN
cana-1289	57	19	model	model	NOUN
cana-1289	57	20	that	that	PRON
cana-1289	57	21	successfully	successfully	ADV
cana-1289	57	22	combines	combine	VERB
cana-1289	57	23	content	content	NOUN
cana-1289	57	24	elements	element	NOUN
cana-1289	57	25	and	and	CCONJ
cana-1289	57	26	temporal	temporal	ADJ
cana-1289	57	27	factors	factor	NOUN
cana-1289	57	28	.	.	PUNCT
cana-1289	58	1	this	this	DET
cana-1289	58	2	novel	novel	ADJ
cana-1289	58	3	methodology	methodology	NOUN
cana-1289	58	4	not	not	PART
cana-1289	58	5	only	only	ADV
cana-1289	58	6	enhances	enhance	VERB
cana-1289	58	7	the	the	DET
cana-1289	58	8	accuracy	accuracy	NOUN
cana-1289	58	9	of	of	ADP
cana-1289	58	10	suggestions	suggestion	NOUN
cana-1289	58	11	,	,	PUNCT
cana-1289	58	12	but	but	CCONJ
cana-1289	58	13	also	also	ADV
cana-1289	58	14	provides	provide	VERB
cana-1289	58	15	a	a	DET
cana-1289	58	16	scalable	scalable	ADJ
cana-1289	58	17	solution	solution	NOUN
cana-1289	58	18	for	for	ADP
cana-1289	58	19	other	other	ADJ
cana-1289	58	20	domains	domain	NOUN
cana-1289	58	21	where	where	SCONJ
cana-1289	58	22	personalization	personalization	NOUN
cana-1289	58	23	is	be	AUX
cana-1289	58	24	crucial	crucial	ADJ
cana-1289	58	25	.	.	PUNCT
cana-1289	59	1	2	2	X
cana-1289	59	2	.	.	X
cana-1289	59	3	related	relate	VERB
cana-1289	59	4	work	work	NOUN
cana-1289	59	5	2.1	2.1	NUM
cana-1289	59	6	conevntional	conevntional	ADJ
cana-1289	59	7	recommendation	recommendation	NOUN
cana-1289	59	8	systems	system	NOUN
cana-1289	59	9	collaborative	collaborative	ADJ
cana-1289	59	10	filtering	filtering	NOUN
cana-1289	59	11	(	(	PUNCT
cana-1289	59	12	cf	cf	NOUN
cana-1289	59	13	)	)	PUNCT
cana-1289	59	14	analyzes	analyze	VERB
cana-1289	59	15	user	user	NOUN
cana-1289	59	16	interactions	interaction	NOUN
cana-1289	59	17	to	to	PART
cana-1289	59	18	recommend	recommend	VERB
cana-1289	59	19	things	thing	NOUN
cana-1289	59	20	.	.	PUNCT
cana-1289	60	1	user	user	NOUN
cana-1289	60	2	-	-	PUNCT
cana-1289	60	3	based	base	VERB
cana-1289	60	4	collaborative	collaborative	ADJ
cana-1289	60	5	filtering	filtering	NOUN
cana-1289	60	6	(	(	PUNCT
cana-1289	60	7	cf	cf	NOUN
cana-1289	60	8	)	)	PUNCT
cana-1289	60	9	finds	find	VERB
cana-1289	60	10	users	user	NOUN
cana-1289	60	11	with	with	ADP
cana-1289	60	12	similar	similar	ADJ
cana-1289	60	13	preferences	preference	NOUN
cana-1289	60	14	,	,	PUNCT
cana-1289	60	15	whereas	whereas	SCONJ
cana-1289	60	16	item	item	NOUN
cana-1289	60	17	-	-	PUNCT
cana-1289	60	18	based	base	VERB
cana-1289	60	19	cf	cf	NOUN
cana-1289	60	20	proposes	propose	VERB
cana-1289	60	21	things	thing	NOUN
cana-1289	60	22	similar	similar	ADJ
cana-1289	60	23	to	to	ADP
cana-1289	60	24	those	those	PRON
cana-1289	60	25	the	the	DET
cana-1289	60	26	user	user	NOUN
cana-1289	60	27	has	have	AUX
cana-1289	60	28	seen	see	VERB
cana-1289	60	29	.	.	PUNCT
cana-1289	61	1	although	although	SCONJ
cana-1289	61	2	successful	successful	ADJ
cana-1289	61	3	,	,	PUNCT
cana-1289	61	4	cf	cf	VERB
cana-1289	61	5	often	often	ADV
cana-1289	61	6	struggles	struggle	VERB
cana-1289	61	7	with	with	ADP
cana-1289	61	8	the	the	DET
cana-1289	61	9	beginning	beginning	NOUN
cana-1289	61	10	problem	problem	NOUN
cana-1289	61	11	,	,	PUNCT
cana-1289	61	12	which	which	PRON
cana-1289	61	13	occurs	occur	VERB
cana-1289	61	14	when	when	SCONJ
cana-1289	61	15	consumers	consumer	NOUN
cana-1289	61	16	or	or	CCONJ
cana-1289	61	17	commodities	commodity	NOUN
cana-1289	61	18	lack	lack	VERB
cana-1289	61	19	knowledge	knowledge	NOUN
cana-1289	62	1	[	[	X
cana-1289	62	2	12][13	12][13	PROPN
cana-1289	62	3	]	]	PUNCT
cana-1289	62	4	.	.	PUNCT
cana-1289	63	1	sarwar	sarwar	PROPN
cana-1289	63	2	et	et	PROPN
cana-1289	63	3	al	al	PROPN
cana-1289	63	4	.	.	PUNCT
cana-1289	64	1	[	[	X
cana-1289	64	2	14	14	NUM
cana-1289	64	3	]	]	PUNCT
cana-1289	64	4	state	state	NOUN
cana-1289	64	5	that	that	SCONJ
cana-1289	64	6	item	item	NOUN
cana-1289	64	7	-	-	PUNCT
cana-1289	64	8	based	base	VERB
cana-1289	64	9	collaborative	collaborative	ADJ
cana-1289	64	10	filtering	filtering	NOUN
cana-1289	64	11	(	(	PUNCT
cana-1289	64	12	cf	cf	NOUN
cana-1289	64	13	)	)	PUNCT
cana-1289	64	14	has	have	VERB
cana-1289	64	15	the	the	DET
cana-1289	64	16	potential	potential	NOUN
cana-1289	64	17	to	to	PART
cana-1289	64	18	enhance	enhance	VERB
cana-1289	64	19	scalability	scalability	NOUN
cana-1289	64	20	.	.	PUNCT
cana-1289	65	1	however	however	ADV
cana-1289	65	2	,	,	PUNCT
cana-1289	65	3	it	it	PRON
cana-1289	65	4	still	still	ADV
cana-1289	65	5	encounters	encounter	VERB
cana-1289	65	6	difficulties	difficulty	NOUN
cana-1289	65	7	associated	associate	VERB
cana-1289	65	8	with	with	ADP
cana-1289	65	9	data	datum	NOUN
cana-1289	65	10	sparsity	sparsity	NOUN
cana-1289	65	11	and	and	CCONJ
cana-1289	65	12	the	the	DET
cana-1289	65	13	wide	wide	ADJ
cana-1289	65	14	range	range	NOUN
cana-1289	65	15	of	of	ADP
cana-1289	65	16	user	user	NOUN
cana-1289	65	17	preferences	preference	NOUN
cana-1289	65	18	.	.	PUNCT
cana-1289	66	1	content	content	NOUN
cana-1289	66	2	-	-	PUNCT
cana-1289	66	3	based	base	VERB
cana-1289	66	4	filtering	filtering	NOUN
cana-1289	66	5	(	(	PUNCT
cana-1289	66	6	cbf	cbf	PROPN
cana-1289	66	7	)	)	PUNCT
cana-1289	66	8	employs	employ	VERB
cana-1289	66	9	item	item	NOUN
cana-1289	66	10	and	and	CCONJ
cana-1289	66	11	user	user	NOUN
cana-1289	66	12	attributes	attribute	NOUN
cana-1289	66	13	to	to	PART
cana-1289	66	14	recommend	recommend	VERB
cana-1289	66	15	related	related	ADJ
cana-1289	66	16	products	product	NOUN
cana-1289	66	17	based	base	VERB
cana-1289	66	18	on	on	ADP
cana-1289	66	19	a	a	DET
cana-1289	66	20	user	user	NOUN
cana-1289	66	21	's	's	PART
cana-1289	66	22	past	past	ADJ
cana-1289	66	23	preferences	preference	NOUN
cana-1289	66	24	.	.	PUNCT
cana-1289	67	1	for	for	ADP
cana-1289	67	2	instance	instance	NOUN
cana-1289	67	3	,	,	PUNCT
cana-1289	67	4	while	while	SCONJ
cana-1289	67	5	making	make	VERB
cana-1289	67	6	movie	movie	NOUN
cana-1289	67	7	suggestions	suggestion	NOUN
cana-1289	67	8	,	,	PUNCT
cana-1289	67	9	factors	factor	NOUN
cana-1289	67	10	such	such	ADJ
cana-1289	67	11	as	as	ADP
cana-1289	67	12	genre	genre	NOUN
cana-1289	67	13	,	,	PUNCT
cana-1289	67	14	director	director	NOUN
cana-1289	67	15	,	,	PUNCT
cana-1289	67	16	and	and	CCONJ
cana-1289	67	17	cast	cast	NOUN
cana-1289	67	18	are	be	AUX
cana-1289	67	19	considered	consider	VERB
cana-1289	67	20	in	in	ADP
cana-1289	67	21	order	order	NOUN
cana-1289	67	22	to	to	PART
cana-1289	67	23	propose	propose	VERB
cana-1289	67	24	comparable	comparable	ADJ
cana-1289	67	25	films	film	NOUN
cana-1289	67	26	.	.	PUNCT
cana-1289	68	1	collaborative	collaborative	ADJ
cana-1289	68	2	filtering	filtering	NOUN
cana-1289	68	3	(	(	PUNCT
cana-1289	68	4	cbf	cbf	PROPN
cana-1289	68	5	)	)	PUNCT
cana-1289	68	6	is	be	AUX
cana-1289	68	7	capable	capable	ADJ
cana-1289	68	8	of	of	ADP
cana-1289	68	9	providing	provide	VERB
cana-1289	68	10	customized	customize	VERB
cana-1289	68	11	recommendations	recommendation	NOUN
cana-1289	68	12	without	without	ADP
cana-1289	68	13	requiring	require	VERB
cana-1289	68	14	a	a	DET
cana-1289	68	15	large	large	ADJ
cana-1289	68	16	amount	amount	NOUN
cana-1289	68	17	of	of	ADP
cana-1289	68	18	user	user	NOUN
cana-1289	68	19	-	-	PUNCT
cana-1289	68	20	item	item	NOUN
cana-1289	68	21	interaction	interaction	NOUN
cana-1289	68	22	data	datum	NOUN
cana-1289	68	23	.	.	PUNCT
cana-1289	69	1	however	however	ADV
cana-1289	69	2	,	,	PUNCT
cana-1289	69	3	it	it	PRON
cana-1289	69	4	may	may	AUX
cana-1289	69	5	face	face	VERB
cana-1289	69	6	challenges	challenge	NOUN
cana-1289	69	7	in	in	ADP
cana-1289	69	8	capturing	capture	VERB
cana-1289	69	9	the	the	DET
cana-1289	69	10	diverse	diverse	ADJ
cana-1289	69	11	range	range	NOUN
cana-1289	69	12	of	of	ADP
cana-1289	69	13	user	user	NOUN
cana-1289	69	14	preferences	preference	NOUN
cana-1289	69	15	and	and	CCONJ
cana-1289	69	16	usually	usually	ADV
cana-1289	69	17	requires	require	VERB
cana-1289	69	18	a	a	DET
cana-1289	69	19	significant	significant	ADJ
cana-1289	69	20	amount	amount	NOUN
cana-1289	69	21	of	of	ADP
cana-1289	69	22	domain	domain	NOUN
cana-1289	69	23	expertise	expertise	NOUN
cana-1289	69	24	to	to	PART
cana-1289	69	25	create	create	VERB
cana-1289	69	26	useful	useful	ADJ
cana-1289	69	27	features	feature	NOUN
cana-1289	69	28	[	[	X
cana-1289	69	29	15	15	NUM
cana-1289	69	30	]	]	PUNCT
cana-1289	69	31	.	.	PUNCT
cana-1289	70	1	lops	lop	NOUN
cana-1289	70	2	et	et	PROPN
cana-1289	70	3	al	al	PROPN
cana-1289	70	4	.	.	PUNCT
cana-1289	71	1	[	[	X
cana-1289	71	2	16	16	NUM
cana-1289	71	3	]	]	PUNCT
cana-1289	71	4	examined	examine	VERB
cana-1289	71	5	the	the	DET
cana-1289	71	6	advantages	advantage	NOUN
cana-1289	71	7	and	and	CCONJ
cana-1289	71	8	limits	limit	NOUN
cana-1289	71	9	of	of	ADP
cana-1289	71	10	cbf	cbf	PROPN
cana-1289	71	11	,	,	PUNCT
cana-1289	71	12	emphasizing	emphasize	VERB
cana-1289	71	13	the	the	DET
cana-1289	71	14	necessity	necessity	NOUN
cana-1289	71	15	of	of	ADP
cana-1289	71	16	combining	combine	VERB
cana-1289	71	17	other	other	ADJ
cana-1289	71	18	methods	method	NOUN
cana-1289	71	19	to	to	PART
cana-1289	71	20	overcome	overcome	VERB
cana-1289	71	21	its	its	PRON
cana-1289	71	22	restrictions	restriction	NOUN
cana-1289	71	23	.	.	PUNCT
cana-1289	72	1	2.2	2.2	NUM
cana-1289	72	2	introduction	introduction	NOUN
cana-1289	72	3	of	of	ADP
cana-1289	72	4	deep	deep	ADJ
cana-1289	72	5	learning	learning	NOUN
cana-1289	72	6	in	in	ADP
cana-1289	72	7	recommendation	recommendation	NOUN
cana-1289	72	8	systems	system	NOUN
cana-1289	72	9	convolutional	convolutional	ADJ
cana-1289	72	10	neural	neural	ADJ
cana-1289	72	11	networks	network	NOUN
cana-1289	72	12	(	(	PUNCT
cana-1289	72	13	cnns	cnns	PROPN
cana-1289	72	14	)	)	PUNCT
cana-1289	72	15	are	be	AUX
cana-1289	72	16	extremely	extremely	ADV
cana-1289	72	17	efficient	efficient	ADJ
cana-1289	72	18	at	at	ADP
cana-1289	72	19	extracting	extract	VERB
cana-1289	72	20	sophisticated	sophisticated	ADJ
cana-1289	72	21	features	feature	NOUN
cana-1289	72	22	from	from	ADP
cana-1289	72	23	unprocessed	unprocessed	ADJ
cana-1289	72	24	data	datum	NOUN
cana-1289	72	25	,	,	PUNCT
cana-1289	72	26	such	such	ADJ
cana-1289	72	27	as	as	ADP
cana-1289	72	28	visuals	visual	NOUN
cana-1289	72	29	and	and	CCONJ
cana-1289	72	30	text	text	NOUN
cana-1289	72	31	.	.	PUNCT
cana-1289	73	1	specifically	specifically	ADV
cana-1289	73	2	,	,	PUNCT
cana-1289	73	3	cnn	cnn	PROPN
cana-1289	73	4	have	have	VERB
cana-1289	73	5	the	the	DET
cana-1289	73	6	ability	ability	NOUN
cana-1289	73	7	to	to	PART
cana-1289	73	8	analyze	analyze	VERB
cana-1289	73	9	and	and	CCONJ
cana-1289	73	10	extract	extract	VERB
cana-1289	73	11	important	important	ADJ
cana-1289	73	12	characteristics	characteristic	NOUN
cana-1289	73	13	from	from	ADP
cana-1289	73	14	various	various	ADJ
cana-1289	73	15	types	type	NOUN
cana-1289	73	16	of	of	ADP
cana-1289	73	17	content	content	NOUN
cana-1289	73	18	,	,	PUNCT
cana-1289	73	19	such	such	ADJ
cana-1289	73	20	as	as	ADP
cana-1289	73	21	movie	movie	NOUN
cana-1289	73	22	poster	poster	NOUN
cana-1289	73	23	images	image	NOUN
cana-1289	73	24	or	or	CCONJ
cana-1289	73	25	textual	textual	ADJ
cana-1289	73	26	descriptions	description	NOUN
cana-1289	73	27	,	,	PUNCT
cana-1289	73	28	within	within	ADP
cana-1289	73	29	recommendation	recommendation	NOUN
cana-1289	73	30	systems	system	NOUN
cana-1289	73	31	.	.	PUNCT
cana-1289	74	1	the	the	DET
cana-1289	74	2	study	study	NOUN
cana-1289	74	3	conducted	conduct	VERB
cana-1289	74	4	by	by	ADP
cana-1289	74	5	covington	covington	PROPN
cana-1289	74	6	et	et	PROPN
cana-1289	74	7	al	al	PROPN
cana-1289	74	8	.	.	PUNCT
cana-1289	75	1	[	[	X
cana-1289	75	2	17	17	NUM
cana-1289	75	3	]	]	PUNCT
cana-1289	75	4	on	on	ADP
cana-1289	75	5	youtube	youtube	NOUN
cana-1289	75	6	recommendations	recommendation	NOUN
cana-1289	75	7	showcases	showcase	VERB
cana-1289	75	8	the	the	DET
cana-1289	75	9	efficacy	efficacy	NOUN
cana-1289	75	10	of	of	ADP
cana-1289	75	11	cnns	cnn	NOUN
cana-1289	75	12	in	in	ADP
cana-1289	75	13	gathering	gather	VERB
cana-1289	75	14	content	content	NOUN
cana-1289	75	15	-	-	PUNCT
cana-1289	75	16	based	base	VERB
cana-1289	75	17	characteristics	characteristic	NOUN
cana-1289	75	18	for	for	ADP
cana-1289	75	19	individualized	individualized	ADJ
cana-1289	75	20	recommendations	recommendation	NOUN
cana-1289	75	21	.	.	PUNCT
cana-1289	76	1	studies	study	NOUN
cana-1289	76	2	have	have	AUX
cana-1289	76	3	demonstrated	demonstrate	VERB
cana-1289	76	4	that	that	SCONJ
cana-1289	76	5	cnns	cnns	PROPN
cana-1289	76	6	can	can	AUX
cana-1289	76	7	communications	communication	NOUN
cana-1289	76	8	on	on	ADP
cana-1289	76	9	applied	apply	VERB
cana-1289	76	10	nonlinear	nonlinear	ADJ
cana-1289	76	11	analysis	analysis	NOUN
cana-1289	76	12	issn	issn	NOUN
cana-1289	76	13	:	:	PUNCT
cana-1289	76	14	1074	1074	NUM
cana-1289	76	15	-	-	PUNCT
cana-1289	76	16	133x	133x	NUM
cana-1289	76	17	vol	vol	NOUN
cana-1289	76	18	31	31	NUM
cana-1289	76	19	no	no	NOUN
cana-1289	76	20	.	.	PUNCT
cana-1289	77	1	7s	7	NOUN
cana-1289	77	2	(	(	PUNCT
cana-1289	77	3	2024	2024	NUM
cana-1289	77	4	)	)	PUNCT
cana-1289	77	5	120	120	NUM
cana-1289	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	77	7	greatly	greatly	ADV
cana-1289	77	8	improve	improve	VERB
cana-1289	77	9	the	the	DET
cana-1289	77	10	quality	quality	NOUN
cana-1289	77	11	of	of	ADP
cana-1289	77	12	suggestions	suggestion	NOUN
cana-1289	77	13	by	by	ADP
cana-1289	77	14	extracting	extract	VERB
cana-1289	77	15	detailed	detailed	ADJ
cana-1289	77	16	feature	feature	NOUN
cana-1289	77	17	representations	representation	NOUN
cana-1289	77	18	from	from	ADP
cana-1289	77	19	visual	visual	ADJ
cana-1289	77	20	input	input	NOUN
cana-1289	77	21	[	[	X
cana-1289	77	22	18	18	NUM
cana-1289	77	23	]	]	PUNCT
cana-1289	77	24	.	.	PUNCT
cana-1289	78	1	recurrent	recurrent	ADJ
cana-1289	78	2	neural	neural	ADJ
cana-1289	78	3	networks	network	NOUN
cana-1289	78	4	(	(	PUNCT
cana-1289	78	5	rnns	rnns	PROPN
cana-1289	78	6	)	)	PUNCT
cana-1289	78	7	and	and	CCONJ
cana-1289	78	8	long	long	ADJ
cana-1289	78	9	short	short	ADJ
cana-1289	78	10	-	-	PUNCT
cana-1289	78	11	term	term	NOUN
cana-1289	78	12	memory	memory	NOUN
cana-1289	78	13	(	(	PUNCT
cana-1289	78	14	lstm	lstm	NOUN
cana-1289	78	15	)	)	PUNCT
cana-1289	78	16	networks	network	NOUN
cana-1289	78	17	are	be	AUX
cana-1289	78	18	specifically	specifically	ADV
cana-1289	78	19	engineered	engineer	VERB
cana-1289	78	20	to	to	PART
cana-1289	78	21	process	process	VERB
cana-1289	78	22	sequential	sequential	ADJ
cana-1289	78	23	input	input	NOUN
cana-1289	78	24	,	,	PUNCT
cana-1289	78	25	making	make	VERB
cana-1289	78	26	them	they	PRON
cana-1289	78	27	highly	highly	ADV
cana-1289	78	28	suitable	suitable	ADJ
cana-1289	78	29	for	for	ADP
cana-1289	78	30	simulating	simulate	VERB
cana-1289	78	31	user	user	NOUN
cana-1289	78	32	behavior	behavior	NOUN
cana-1289	78	33	over	over	ADP
cana-1289	78	34	time	time	NOUN
cana-1289	78	35	.	.	PUNCT
cana-1289	79	1	the	the	DET
cana-1289	79	2	networks	network	NOUN
cana-1289	79	3	have	have	VERB
cana-1289	79	4	the	the	DET
cana-1289	79	5	ability	ability	NOUN
cana-1289	79	6	to	to	PART
cana-1289	79	7	capture	capture	VERB
cana-1289	79	8	the	the	DET
cana-1289	79	9	time	time	NOUN
cana-1289	79	10	-	-	PUNCT
cana-1289	79	11	based	base	VERB
cana-1289	79	12	patterns	pattern	NOUN
cana-1289	79	13	of	of	ADP
cana-1289	79	14	user	user	NOUN
cana-1289	79	15	interactions	interaction	NOUN
cana-1289	79	16	,	,	PUNCT
cana-1289	79	17	as	as	SCONJ
cana-1289	79	18	shown	show	VERB
cana-1289	79	19	by	by	ADP
cana-1289	79	20	hidasi	hidasi	PROPN
cana-1289	79	21	et	et	PROPN
cana-1289	79	22	al	al	PROPN
cana-1289	79	23	.	.	PUNCT
cana-1289	80	1	[	[	X
cana-1289	80	2	19	19	NUM
cana-1289	80	3	]	]	PUNCT
cana-1289	80	4	,	,	PUNCT
cana-1289	80	5	who	who	PRON
cana-1289	80	6	used	use	VERB
cana-1289	80	7	rnns	rnn	NOUN
cana-1289	80	8	for	for	ADP
cana-1289	80	9	suggestions	suggestion	NOUN
cana-1289	80	10	based	base	VERB
cana-1289	80	11	on	on	ADP
cana-1289	80	12	user	user	NOUN
cana-1289	80	13	sessions	session	NOUN
cana-1289	80	14	and	and	CCONJ
cana-1289	80	15	gained	gain	VERB
cana-1289	80	16	higher	high	ADJ
cana-1289	80	17	accuracy	accuracy	NOUN
cana-1289	80	18	in	in	ADP
cana-1289	80	19	their	their	PRON
cana-1289	80	20	recommendations	recommendation	NOUN
cana-1289	80	21	.	.	PUNCT
cana-1289	81	1	quadrana	quadrana	PROPN
cana-1289	81	2	et	et	PROPN
cana-1289	81	3	al	al	PROPN
cana-1289	81	4	.	.	PUNCT
cana-1289	82	1	[	[	X
cana-1289	82	2	20	20	NUM
cana-1289	82	3	]	]	PUNCT
cana-1289	82	4	improved	improve	VERB
cana-1289	82	5	upon	upon	SCONJ
cana-1289	82	6	the	the	DET
cana-1289	82	7	previous	previous	ADJ
cana-1289	82	8	work	work	NOUN
cana-1289	82	9	by	by	ADP
cana-1289	82	10	integrating	integrate	VERB
cana-1289	82	11	hierarchical	hierarchical	ADJ
cana-1289	82	12	rnns	rnn	NOUN
cana-1289	82	13	,	,	PUNCT
cana-1289	82	14	which	which	PRON
cana-1289	82	15	enabled	enable	VERB
cana-1289	82	16	a	a	DET
cana-1289	82	17	more	more	ADV
cana-1289	82	18	efficient	efficient	ADJ
cana-1289	82	19	representation	representation	NOUN
cana-1289	82	20	of	of	ADP
cana-1289	82	21	user	user	NOUN
cana-1289	82	22	sessions	session	NOUN
cana-1289	82	23	and	and	CCONJ
cana-1289	82	24	transitions	transition	NOUN
cana-1289	82	25	,	,	PUNCT
cana-1289	82	26	leading	lead	VERB
cana-1289	82	27	to	to	ADP
cana-1289	82	28	superior	superior	ADJ
cana-1289	82	29	performance	performance	NOUN
cana-1289	82	30	in	in	ADP
cana-1289	82	31	session	session	NOUN
cana-1289	82	32	-	-	PUNCT
cana-1289	82	33	based	base	VERB
cana-1289	82	34	recommendation	recommendation	NOUN
cana-1289	82	35	.	.	PUNCT
cana-1289	83	1	autoencoders	autoencoder	NOUN
cana-1289	83	2	are	be	AUX
cana-1289	83	3	a	a	DET
cana-1289	83	4	specific	specific	ADJ
cana-1289	83	5	category	category	NOUN
cana-1289	83	6	of	of	ADP
cana-1289	83	7	neural	neural	ADJ
cana-1289	83	8	networks	network	NOUN
cana-1289	83	9	that	that	PRON
cana-1289	83	10	are	be	AUX
cana-1289	83	11	typically	typically	ADV
cana-1289	83	12	employed	employ	VERB
cana-1289	83	13	for	for	ADP
cana-1289	83	14	the	the	DET
cana-1289	83	15	purpose	purpose	NOUN
cana-1289	83	16	of	of	ADP
cana-1289	83	17	reducing	reduce	VERB
cana-1289	83	18	dimensionality	dimensionality	NOUN
cana-1289	83	19	and	and	CCONJ
cana-1289	83	20	acquiring	acquire	VERB
cana-1289	83	21	features	feature	NOUN
cana-1289	83	22	.	.	PUNCT
cana-1289	84	1	they	they	PRON
cana-1289	84	2	have	have	VERB
cana-1289	84	3	an	an	DET
cana-1289	84	4	encoder	encoder	NOUN
cana-1289	84	5	that	that	PRON
cana-1289	84	6	compresses	compress	VERB
cana-1289	84	7	and	and	CCONJ
cana-1289	84	8	a	a	DET
cana-1289	84	9	decoder	decoder	NOUN
cana-1289	84	10	that	that	PRON
cana-1289	84	11	reconstructs	reconstruct	VERB
cana-1289	84	12	input	input	NOUN
cana-1289	84	13	data	datum	NOUN
cana-1289	84	14	.	.	PUNCT
cana-1289	85	1	using	use	VERB
cana-1289	85	2	autoencoders	autoencoder	NOUN
cana-1289	85	3	,	,	PUNCT
cana-1289	85	4	recommendation	recommendation	NOUN
cana-1289	85	5	systems	system	NOUN
cana-1289	85	6	learn	learn	VERB
cana-1289	85	7	latent	latent	NOUN
cana-1289	85	8	representations	representation	NOUN
cana-1289	85	9	of	of	ADP
cana-1289	85	10	people	people	NOUN
cana-1289	85	11	and	and	CCONJ
cana-1289	85	12	things	thing	NOUN
cana-1289	85	13	.	.	PUNCT
cana-1289	86	1	wang	wang	PROPN
cana-1289	86	2	et	et	PROPN
cana-1289	86	3	al	al	PROPN
cana-1289	86	4	.	.	PUNCT
cana-1289	87	1	[	[	X
cana-1289	87	2	21	21	NUM
cana-1289	87	3	]	]	PUNCT
cana-1289	87	4	introduced	introduce	VERB
cana-1289	87	5	a	a	DET
cana-1289	87	6	new	new	ADJ
cana-1289	87	7	technique	technique	NOUN
cana-1289	87	8	known	know	VERB
cana-1289	87	9	as	as	ADP
cana-1289	87	10	collaborative	collaborative	ADJ
cana-1289	87	11	deep	deep	ADJ
cana-1289	87	12	learning	learning	NOUN
cana-1289	87	13	,	,	PUNCT
cana-1289	87	14	which	which	PRON
cana-1289	87	15	enhances	enhance	VERB
cana-1289	87	16	recommendation	recommendation	NOUN
cana-1289	87	17	accuracy	accuracy	NOUN
cana-1289	87	18	by	by	ADP
cana-1289	87	19	integrating	integrate	VERB
cana-1289	87	20	autoencoders	autoencoder	NOUN
cana-1289	87	21	with	with	ADP
cana-1289	87	22	collaborative	collaborative	ADJ
cana-1289	87	23	filtering	filtering	NOUN
cana-1289	87	24	.	.	PUNCT
cana-1289	88	1	this	this	DET
cana-1289	88	2	method	method	NOUN
cana-1289	88	3	has	have	AUX
cana-1289	88	4	shown	show	VERB
cana-1289	88	5	significant	significant	ADJ
cana-1289	88	6	achievement	achievement	NOUN
cana-1289	88	7	in	in	ADP
cana-1289	88	8	capturing	capture	VERB
cana-1289	88	9	intricate	intricate	ADJ
cana-1289	88	10	user	user	NOUN
cana-1289	88	11	-	-	PUNCT
cana-1289	88	12	item	item	NOUN
cana-1289	88	13	interactions	interaction	NOUN
cana-1289	88	14	by	by	ADP
cana-1289	88	15	acquiring	acquire	VERB
cana-1289	88	16	more	more	ADV
cana-1289	88	17	advanced	advanced	ADJ
cana-1289	88	18	latent	latent	NOUN
cana-1289	88	19	characteristics	characteristic	NOUN
cana-1289	88	20	[	[	X
cana-1289	88	21	22	22	NUM
cana-1289	88	22	]	]	PUNCT
cana-1289	88	23	.	.	PUNCT
cana-1289	89	1	2.3	2.3	NUM
cana-1289	89	2	previous	previous	ADJ
cana-1289	89	3	works	work	NOUN
cana-1289	89	4	on	on	ADP
cana-1289	89	5	temporal	temporal	ADJ
cana-1289	89	6	dynamics	dynamic	NOUN
cana-1289	89	7	in	in	ADP
cana-1289	89	8	recommendation	recommendation	NOUN
cana-1289	89	9	systems	system	NOUN
cana-1289	89	10	it	it	PRON
cana-1289	89	11	is	be	AUX
cana-1289	89	12	crucial	crucial	ADJ
cana-1289	89	13	to	to	PART
cana-1289	89	14	capture	capture	VERB
cana-1289	89	15	the	the	DET
cana-1289	89	16	evolution	evolution	NOUN
cana-1289	89	17	of	of	ADP
cana-1289	89	18	user	user	NOUN
cana-1289	89	19	preferences	preference	NOUN
cana-1289	89	20	over	over	ADP
cana-1289	89	21	time	time	NOUN
cana-1289	89	22	in	in	ADP
cana-1289	89	23	order	order	NOUN
cana-1289	89	24	to	to	PART
cana-1289	89	25	create	create	VERB
cana-1289	89	26	accurate	accurate	ADJ
cana-1289	89	27	models	model	NOUN
cana-1289	89	28	.	.	PUNCT
cana-1289	90	1	conventional	conventional	ADJ
cana-1289	90	2	techniques	technique	NOUN
cana-1289	90	3	,	,	PUNCT
cana-1289	90	4	including	include	VERB
cana-1289	90	5	integrating	integrate	VERB
cana-1289	90	6	temporal	temporal	ADJ
cana-1289	90	7	dynamics	dynamic	NOUN
cana-1289	90	8	into	into	ADP
cana-1289	90	9	matrix	matrix	NOUN
cana-1289	90	10	factorization	factorization	NOUN
cana-1289	90	11	,	,	PUNCT
cana-1289	90	12	have	have	AUX
cana-1289	90	13	established	establish	VERB
cana-1289	90	14	the	the	DET
cana-1289	90	15	foundation	foundation	NOUN
cana-1289	90	16	for	for	ADP
cana-1289	90	17	including	include	VERB
cana-1289	90	18	time	time	NOUN
cana-1289	90	19	in	in	ADP
cana-1289	90	20	recommendations	recommendation	NOUN
cana-1289	90	21	[	[	X
cana-1289	90	22	23	23	NUM
cana-1289	90	23	]	]	PUNCT
cana-1289	90	24	.	.	PUNCT
cana-1289	91	1	however	however	ADV
cana-1289	91	2	,	,	PUNCT
cana-1289	91	3	these	these	DET
cana-1289	91	4	approaches	approach	NOUN
cana-1289	91	5	frequently	frequently	ADV
cana-1289	91	6	encounter	encounter	VERB
cana-1289	91	7	difficulties	difficulty	NOUN
cana-1289	91	8	in	in	ADP
cana-1289	91	9	capturing	capture	VERB
cana-1289	91	10	complex	complex	ADJ
cana-1289	91	11	temporal	temporal	ADJ
cana-1289	91	12	patterns	pattern	NOUN
cana-1289	91	13	.	.	PUNCT
cana-1289	92	1	deep	deep	ADJ
cana-1289	92	2	learning	learning	NOUN
cana-1289	92	3	methods	method	NOUN
cana-1289	92	4	:	:	PUNCT
cana-1289	92	5	yu	yu	PROPN
cana-1289	92	6	et	et	PROPN
cana-1289	92	7	al	al	PROPN
cana-1289	92	8	.	.	PUNCT
cana-1289	93	1	[	[	X
cana-1289	93	2	24	24	NUM
cana-1289	93	3	]	]	PUNCT
cana-1289	93	4	proposed	propose	VERB
cana-1289	93	5	the	the	DET
cana-1289	93	6	utilization	utilization	NOUN
cana-1289	93	7	of	of	ADP
cana-1289	93	8	rnn	rnn	NOUN
cana-1289	93	9	to	to	PART
cana-1289	93	10	capture	capture	VERB
cana-1289	93	11	dynamic	dynamic	ADJ
cana-1289	93	12	user	user	NOUN
cana-1289	93	13	preferences	preference	NOUN
cana-1289	93	14	,	,	PUNCT
cana-1289	93	15	highlighting	highlight	VERB
cana-1289	93	16	the	the	DET
cana-1289	93	17	importance	importance	NOUN
cana-1289	93	18	of	of	ADP
cana-1289	93	19	taking	take	VERB
cana-1289	93	20	into	into	ADP
cana-1289	93	21	account	account	NOUN
cana-1289	93	22	the	the	DET
cana-1289	93	23	temporal	temporal	ADJ
cana-1289	93	24	context	context	NOUN
cana-1289	93	25	in	in	ADP
cana-1289	93	26	suggestions	suggestion	NOUN
cana-1289	93	27	.	.	PUNCT
cana-1289	94	1	their	their	PRON
cana-1289	94	2	demonstration	demonstration	NOUN
cana-1289	94	3	showcased	showcase	VERB
cana-1289	94	4	the	the	DET
cana-1289	94	5	successful	successful	ADJ
cana-1289	94	6	utilization	utilization	NOUN
cana-1289	94	7	of	of	ADP
cana-1289	94	8	rnns	rnns	NOUN
cana-1289	94	9	in	in	ADP
cana-1289	94	10	modeling	model	VERB
cana-1289	94	11	the	the	DET
cana-1289	94	12	dynamic	dynamic	ADJ
cana-1289	94	13	nature	nature	NOUN
cana-1289	94	14	of	of	ADP
cana-1289	94	15	consumer	consumer	NOUN
cana-1289	94	16	preferences	preference	NOUN
cana-1289	94	17	,	,	PUNCT
cana-1289	94	18	resulting	result	VERB
cana-1289	94	19	in	in	ADP
cana-1289	94	20	enhanced	enhanced	ADJ
cana-1289	94	21	predictive	predictive	ADJ
cana-1289	94	22	accuracy	accuracy	NOUN
cana-1289	94	23	.	.	PUNCT
cana-1289	95	1	quadrana	quadrana	PROPN
cana-1289	95	2	et	et	PROPN
cana-1289	95	3	al	al	PROPN
cana-1289	95	4	.	.	PUNCT
cana-1289	96	1	[	[	X
cana-1289	96	2	20	20	NUM
cana-1289	96	3	]	]	PUNCT
cana-1289	96	4	further	far	ADV
cana-1289	96	5	developed	develop	VERB
cana-1289	96	6	this	this	DET
cana-1289	96	7	concept	concept	NOUN
cana-1289	96	8	by	by	ADP
cana-1289	96	9	including	include	VERB
cana-1289	96	10	hierarchical	hierarchical	ADJ
cana-1289	96	11	rnns	rnn	NOUN
cana-1289	96	12	to	to	PART
cana-1289	96	13	represent	represent	VERB
cana-1289	96	14	user	user	NOUN
cana-1289	96	15	sessions	session	NOUN
cana-1289	96	16	and	and	CCONJ
cana-1289	96	17	the	the	DET
cana-1289	96	18	transitions	transition	NOUN
cana-1289	96	19	between	between	ADP
cana-1289	96	20	them	they	PRON
cana-1289	96	21	,	,	PUNCT
cana-1289	96	22	resulting	result	VERB
cana-1289	96	23	in	in	ADP
cana-1289	96	24	enhanced	enhanced	ADJ
cana-1289	96	25	performance	performance	NOUN
cana-1289	96	26	in	in	ADP
cana-1289	96	27	recommending	recommend	VERB
cana-1289	96	28	sessions	session	NOUN
cana-1289	96	29	.	.	PUNCT
cana-1289	97	1	hybrid	hybrid	ADJ
cana-1289	97	2	approaches	approach	NOUN
cana-1289	97	3	,	,	PUNCT
cana-1289	97	4	which	which	PRON
cana-1289	97	5	involve	involve	VERB
cana-1289	97	6	the	the	DET
cana-1289	97	7	combination	combination	NOUN
cana-1289	97	8	of	of	ADP
cana-1289	97	9	different	different	ADJ
cana-1289	97	10	deep	deep	ADJ
cana-1289	97	11	learning	learning	NOUN
cana-1289	97	12	methods	method	NOUN
cana-1289	97	13	,	,	PUNCT
cana-1289	97	14	have	have	AUX
cana-1289	97	15	demonstrated	demonstrate	VERB
cana-1289	97	16	promise	promise	NOUN
cana-1289	97	17	in	in	ADP
cana-1289	97	18	further	far	ADV
cana-1289	97	19	improving	improve	VERB
cana-1289	97	20	recommendation	recommendation	NOUN
cana-1289	97	21	systems	system	NOUN
cana-1289	97	22	.	.	PUNCT
cana-1289	98	1	zhang	zhang	PROPN
cana-1289	98	2	et	et	PROPN
cana-1289	98	3	al	al	PROPN
cana-1289	98	4	.	.	PUNCT
cana-1289	99	1	[	[	X
cana-1289	99	2	25	25	NUM
cana-1289	99	3	]	]	PUNCT
cana-1289	99	4	integrated	integrate	VERB
cana-1289	99	5	cnn	cnn	NOUN
cana-1289	99	6	and	and	CCONJ
cana-1289	99	7	rnn	rnn	VERB
cana-1289	99	8	to	to	PART
cana-1289	99	9	capture	capture	VERB
cana-1289	99	10	both	both	DET
cana-1289	99	11	content	content	ADJ
cana-1289	99	12	characteristics	characteristic	NOUN
cana-1289	99	13	and	and	CCONJ
cana-1289	99	14	temporal	temporal	ADJ
cana-1289	99	15	patterns	pattern	NOUN
cana-1289	99	16	,	,	PUNCT
cana-1289	99	17	resulting	result	VERB
cana-1289	99	18	in	in	ADP
cana-1289	99	19	a	a	DET
cana-1289	99	20	more	more	ADV
cana-1289	99	21	comprehensive	comprehensive	ADJ
cana-1289	99	22	model	model	NOUN
cana-1289	99	23	of	of	ADP
cana-1289	99	24	user	user	NOUN
cana-1289	99	25	preferences	preference	NOUN
cana-1289	99	26	.	.	PUNCT
cana-1289	100	1	by	by	ADP
cana-1289	100	2	harnessing	harness	VERB
cana-1289	100	3	the	the	DET
cana-1289	100	4	complimentary	complimentary	ADJ
cana-1289	100	5	benefits	benefit	NOUN
cana-1289	100	6	of	of	ADP
cana-1289	100	7	various	various	ADJ
cana-1289	100	8	neural	neural	ADJ
cana-1289	100	9	network	network	NOUN
cana-1289	100	10	architectures	architecture	NOUN
cana-1289	100	11	,	,	PUNCT
cana-1289	100	12	this	this	DET
cana-1289	100	13	technique	technique	NOUN
cana-1289	100	14	has	have	AUX
cana-1289	100	15	demonstrated	demonstrate	VERB
cana-1289	100	16	superior	superior	ADJ
cana-1289	100	17	performance	performance	NOUN
cana-1289	100	18	compared	compare	VERB
cana-1289	100	19	to	to	ADP
cana-1289	100	20	models	model	NOUN
cana-1289	100	21	that	that	PRON
cana-1289	100	22	just	just	ADV
cana-1289	100	23	emphasize	emphasize	VERB
cana-1289	100	24	either	either	CCONJ
cana-1289	100	25	content	content	NOUN
cana-1289	100	26	or	or	CCONJ
cana-1289	100	27	temporal	temporal	ADJ
cana-1289	100	28	aspects	aspect	NOUN
cana-1289	100	29	.	.	PUNCT
cana-1289	101	1	2.4	2.4	NUM
cana-1289	101	2	identification	identification	NOUN
cana-1289	101	3	of	of	ADP
cana-1289	101	4	gaps	gap	NOUN
cana-1289	101	5	in	in	ADP
cana-1289	101	6	existing	exist	VERB
cana-1289	101	7	research	research	NOUN
cana-1289	101	8	although	although	SCONJ
cana-1289	101	9	significant	significant	ADJ
cana-1289	101	10	advancements	advancement	NOUN
cana-1289	101	11	have	have	AUX
cana-1289	101	12	been	be	AUX
cana-1289	101	13	achieved	achieve	VERB
cana-1289	101	14	in	in	ADP
cana-1289	101	15	the	the	DET
cana-1289	101	16	creation	creation	NOUN
cana-1289	101	17	of	of	ADP
cana-1289	101	18	deep	deep	ADJ
cana-1289	101	19	learning	learning	NOUN
cana-1289	101	20	models	model	NOUN
cana-1289	101	21	for	for	ADP
cana-1289	101	22	recommendation	recommendation	NOUN
cana-1289	101	23	systems	system	NOUN
cana-1289	101	24	,	,	PUNCT
cana-1289	101	25	there	there	PRON
cana-1289	101	26	are	be	VERB
cana-1289	101	27	still	still	ADV
cana-1289	101	28	multiple	multiple	ADJ
cana-1289	101	29	domains	domain	NOUN
cana-1289	101	30	that	that	PRON
cana-1289	101	31	require	require	VERB
cana-1289	101	32	further	further	ADJ
cana-1289	101	33	enhancement	enhancement	NOUN
cana-1289	101	34	.	.	PUNCT
cana-1289	102	1	one	one	NUM
cana-1289	102	2	area	area	NOUN
cana-1289	102	3	that	that	PRON
cana-1289	102	4	is	be	AUX
cana-1289	102	5	being	be	AUX
cana-1289	102	6	focused	focus	VERB
cana-1289	102	7	on	on	ADP
cana-1289	102	8	is	be	AUX
cana-1289	102	9	the	the	DET
cana-1289	102	10	incorporation	incorporation	NOUN
cana-1289	102	11	of	of	ADP
cana-1289	102	12	several	several	ADJ
cana-1289	102	13	models	model	NOUN
cana-1289	102	14	.	.	PUNCT
cana-1289	103	1	current	current	ADJ
cana-1289	103	2	research	research	NOUN
cana-1289	103	3	aims	aim	VERB
cana-1289	103	4	to	to	PART
cana-1289	103	5	integrate	integrate	VERB
cana-1289	103	6	cnn	cnn	PROPN
cana-1289	103	7	,	,	PUNCT
cana-1289	103	8	rnn	rnn	PROPN
cana-1289	103	9	,	,	PUNCT
cana-1289	103	10	and	and	CCONJ
cana-1289	103	11	autoencoders	autoencoder	NOUN
cana-1289	103	12	to	to	PART
cana-1289	103	13	leverage	leverage	VERB
cana-1289	103	14	their	their	PRON
cana-1289	103	15	complimentary	complimentary	ADJ
cana-1289	103	16	capabilities	capability	NOUN
cana-1289	103	17	.	.	PUNCT
cana-1289	104	1	however	however	ADV
cana-1289	104	2	,	,	PUNCT
cana-1289	104	3	most	most	ADJ
cana-1289	104	4	existing	exist	VERB
cana-1289	104	5	models	model	NOUN
cana-1289	104	6	primarily	primarily	ADV
cana-1289	104	7	emphasize	emphasize	VERB
cana-1289	104	8	either	either	PRON
cana-1289	104	9	visual	visual	ADJ
cana-1289	104	10	features	feature	NOUN
cana-1289	104	11	or	or	CCONJ
cana-1289	104	12	temporal	temporal	ADJ
cana-1289	104	13	dynamics	dynamic	NOUN
cana-1289	104	14	,	,	PUNCT
cana-1289	104	15	leading	lead	VERB
cana-1289	104	16	to	to	ADP
cana-1289	104	17	unsatisfactory	unsatisfactory	ADJ
cana-1289	104	18	communications	communication	NOUN
cana-1289	104	19	on	on	ADP
cana-1289	104	20	applied	apply	VERB
cana-1289	104	21	nonlinear	nonlinear	ADJ
cana-1289	104	22	analysis	analysis	NOUN
cana-1289	104	23	issn	issn	NOUN
cana-1289	104	24	:	:	PUNCT
cana-1289	104	25	1074	1074	NUM
cana-1289	104	26	-	-	PUNCT
cana-1289	104	27	133x	133x	NUM
cana-1289	104	28	vol	vol	NOUN
cana-1289	104	29	31	31	NUM
cana-1289	104	30	no	no	NOUN
cana-1289	104	31	.	.	PUNCT
cana-1289	105	1	7s	7	NOUN
cana-1289	105	2	(	(	PUNCT
cana-1289	105	3	2024	2024	NUM
cana-1289	105	4	)	)	PUNCT
cana-1289	105	5	121	121	NUM
cana-1289	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	105	7	performance	performance	NOUN
cana-1289	105	8	.	.	PUNCT
cana-1289	106	1	another	another	DET
cana-1289	106	2	aspect	aspect	NOUN
cana-1289	106	3	that	that	PRON
cana-1289	106	4	necessitates	necessitate	VERB
cana-1289	106	5	focus	focus	NOUN
cana-1289	106	6	is	be	AUX
cana-1289	106	7	the	the	DET
cana-1289	106	8	thorough	thorough	ADJ
cana-1289	106	9	acquisition	acquisition	NOUN
cana-1289	106	10	of	of	ADP
cana-1289	106	11	features	feature	NOUN
cana-1289	106	12	.	.	PUNCT
cana-1289	107	1	most	most	ADJ
cana-1289	107	2	current	current	ADJ
cana-1289	107	3	models	model	NOUN
cana-1289	107	4	focus	focus	VERB
cana-1289	107	5	on	on	ADP
cana-1289	107	6	either	either	CCONJ
cana-1289	107	7	content	content	NOUN
cana-1289	107	8	aspects	aspect	NOUN
cana-1289	107	9	or	or	CCONJ
cana-1289	107	10	temporal	temporal	ADJ
cana-1289	107	11	dynamics	dynamic	NOUN
cana-1289	107	12	,	,	PUNCT
cana-1289	107	13	but	but	CCONJ
cana-1289	107	14	seldom	seldom	ADV
cana-1289	107	15	both	both	PRON
cana-1289	107	16	,	,	PUNCT
cana-1289	107	17	resulting	result	VERB
cana-1289	107	18	in	in	ADP
cana-1289	107	19	inferior	inferior	ADJ
cana-1289	107	20	performance	performance	NOUN
cana-1289	107	21	.	.	PUNCT
cana-1289	108	1	there	there	PRON
cana-1289	108	2	is	be	VERB
cana-1289	108	3	a	a	DET
cana-1289	108	4	requirement	requirement	NOUN
cana-1289	108	5	for	for	ADP
cana-1289	108	6	models	model	NOUN
cana-1289	108	7	that	that	PRON
cana-1289	108	8	can	can	AUX
cana-1289	108	9	encompass	encompass	VERB
cana-1289	108	10	a	a	DET
cana-1289	108	11	more	more	ADV
cana-1289	108	12	allencompassing	allencompassing	NOUN
cana-1289	108	13	perspective	perspective	NOUN
cana-1289	108	14	of	of	ADP
cana-1289	108	15	consumer	consumer	NOUN
cana-1289	108	16	preferences	preference	NOUN
cana-1289	108	17	by	by	ADP
cana-1289	108	18	including	include	VERB
cana-1289	108	19	various	various	ADJ
cana-1289	108	20	sources	source	NOUN
cana-1289	108	21	of	of	ADP
cana-1289	108	22	data	datum	NOUN
cana-1289	108	23	.	.	PUNCT
cana-1289	109	1	additional	additional	ADJ
cana-1289	109	2	empirical	empirical	ADJ
cana-1289	109	3	evaluations	evaluation	NOUN
cana-1289	109	4	on	on	ADP
cana-1289	109	5	other	other	ADJ
cana-1289	109	6	datasets	dataset	NOUN
cana-1289	109	7	are	be	AUX
cana-1289	109	8	necessary	necessary	ADJ
cana-1289	109	9	to	to	PART
cana-1289	109	10	validate	validate	VERB
cana-1289	109	11	the	the	DET
cana-1289	109	12	overall	overall	ADJ
cana-1289	109	13	applicability	applicability	NOUN
cana-1289	109	14	of	of	ADP
cana-1289	109	15	the	the	DET
cana-1289	109	16	offered	offer	VERB
cana-1289	109	17	strategies	strategy	NOUN
cana-1289	109	18	.	.	PUNCT
cana-1289	110	1	several	several	ADJ
cana-1289	110	2	ongoing	ongoing	ADJ
cana-1289	110	3	projects	project	NOUN
cana-1289	110	4	depend	depend	VERB
cana-1289	110	5	on	on	ADP
cana-1289	110	6	limited	limited	ADJ
cana-1289	110	7	datasets	dataset	NOUN
cana-1289	110	8	,	,	PUNCT
cana-1289	110	9	which	which	PRON
cana-1289	110	10	may	may	AUX
cana-1289	110	11	result	result	VERB
cana-1289	110	12	in	in	ADP
cana-1289	110	13	models	model	NOUN
cana-1289	110	14	that	that	PRON
cana-1289	110	15	do	do	AUX
cana-1289	110	16	not	not	PART
cana-1289	110	17	function	function	VERB
cana-1289	110	18	optimally	optimally	ADV
cana-1289	110	19	in	in	ADP
cana-1289	110	20	various	various	ADJ
cana-1289	110	21	situations	situation	NOUN
cana-1289	110	22	.	.	PUNCT
cana-1289	111	1	the	the	DET
cana-1289	111	2	objective	objective	NOUN
cana-1289	111	3	of	of	ADP
cana-1289	111	4	our	our	PRON
cana-1289	111	5	research	research	NOUN
cana-1289	111	6	is	be	AUX
cana-1289	111	7	to	to	PART
cana-1289	111	8	address	address	VERB
cana-1289	111	9	the	the	DET
cana-1289	111	10	current	current	ADJ
cana-1289	111	11	deficiencies	deficiency	NOUN
cana-1289	111	12	in	in	ADP
cana-1289	111	13	the	the	DET
cana-1289	111	14	field	field	NOUN
cana-1289	111	15	by	by	ADP
cana-1289	111	16	developing	develop	VERB
cana-1289	111	17	a	a	DET
cana-1289	111	18	thorough	thorough	ADJ
cana-1289	111	19	model	model	NOUN
cana-1289	111	20	that	that	PRON
cana-1289	111	21	uses	use	VERB
cana-1289	111	22	cnn	cnn	PROPN
cana-1289	111	23	to	to	PART
cana-1289	111	24	improve	improve	VERB
cana-1289	111	25	the	the	DET
cana-1289	111	26	extraction	extraction	NOUN
cana-1289	111	27	of	of	ADP
cana-1289	111	28	features	feature	NOUN
cana-1289	111	29	,	,	PUNCT
cana-1289	111	30	bi	bi	ADJ
cana-1289	111	31	-	-	ADJ
cana-1289	111	32	directional	directional	ADJ
cana-1289	111	33	rnn	rnn	NOUN
cana-1289	111	34	to	to	PART
cana-1289	111	35	capture	capture	VERB
cana-1289	111	36	temporal	temporal	ADJ
cana-1289	111	37	patterns	pattern	NOUN
cana-1289	111	38	,	,	PUNCT
cana-1289	111	39	and	and	CCONJ
cana-1289	111	40	autoencoders	autoencoder	NOUN
cana-1289	111	41	to	to	PART
cana-1289	111	42	reduce	reduce	VERB
cana-1289	111	43	the	the	DET
cana-1289	111	44	complexity	complexity	NOUN
cana-1289	111	45	of	of	ADP
cana-1289	111	46	the	the	DET
cana-1289	111	47	data	datum	NOUN
cana-1289	111	48	.	.	PUNCT
cana-1289	112	1	we	we	PRON
cana-1289	112	2	performed	perform	VERB
cana-1289	112	3	experiments	experiment	NOUN
cana-1289	112	4	utilizing	utilize	VERB
cana-1289	112	5	the	the	DET
cana-1289	112	6	tmdb	tmdb	PROPN
cana-1289	112	7	dataset	dataset	NOUN
cana-1289	112	8	,	,	PUNCT
cana-1289	112	9	enabling	enable	VERB
cana-1289	112	10	us	we	PRON
cana-1289	112	11	to	to	PART
cana-1289	112	12	provide	provide	VERB
cana-1289	112	13	a	a	DET
cana-1289	112	14	robust	robust	ADJ
cana-1289	112	15	empirical	empirical	ADJ
cana-1289	112	16	assessment	assessment	NOUN
cana-1289	112	17	that	that	PRON
cana-1289	112	18	demonstrates	demonstrate	VERB
cana-1289	112	19	the	the	DET
cana-1289	112	20	effectiveness	effectiveness	NOUN
cana-1289	112	21	of	of	ADP
cana-1289	112	22	our	our	PRON
cana-1289	112	23	suggested	suggest	VERB
cana-1289	112	24	method	method	NOUN
cana-1289	112	25	.	.	PUNCT
cana-1289	113	1	our	our	PRON
cana-1289	113	2	algorithm	algorithm	NOUN
cana-1289	113	3	considers	consider	VERB
cana-1289	113	4	both	both	DET
cana-1289	113	5	visual	visual	ADJ
cana-1289	113	6	content	content	NOUN
cana-1289	113	7	and	and	CCONJ
cana-1289	113	8	temporal	temporal	ADJ
cana-1289	113	9	sequences	sequence	NOUN
cana-1289	113	10	,	,	PUNCT
cana-1289	113	11	while	while	SCONJ
cana-1289	113	12	also	also	ADV
cana-1289	113	13	reducing	reduce	VERB
cana-1289	113	14	data	datum	NOUN
cana-1289	113	15	dimensionality	dimensionality	NOUN
cana-1289	113	16	,	,	PUNCT
cana-1289	113	17	resulting	result	VERB
cana-1289	113	18	in	in	ADP
cana-1289	113	19	improved	improved	ADJ
cana-1289	113	20	accuracy	accuracy	NOUN
cana-1289	113	21	and	and	CCONJ
cana-1289	113	22	relevance	relevance	NOUN
cana-1289	113	23	of	of	ADP
cana-1289	113	24	recommendations	recommendation	NOUN
cana-1289	113	25	.	.	PUNCT
cana-1289	114	1	3	3	X
cana-1289	114	2	.	.	X
cana-1289	114	3	methodology	methodology	NOUN
cana-1289	114	4	3.1	3.1	NUM
cana-1289	114	5	data	datum	NOUN
cana-1289	114	6	collection	collection	NOUN
cana-1289	114	7	and	and	CCONJ
cana-1289	114	8	preprocessing	preprocesse	VERB
cana-1289	114	9	the	the	DET
cana-1289	114	10	tmdb	tmdb	NOUN
cana-1289	114	11	dataset	dataset	NOUN
cana-1289	114	12	is	be	AUX
cana-1289	114	13	an	an	DET
cana-1289	114	14	extensive	extensive	ADJ
cana-1289	114	15	repository	repository	NOUN
cana-1289	114	16	that	that	PRON
cana-1289	114	17	encompasses	encompass	VERB
cana-1289	114	18	a	a	DET
cana-1289	114	19	vast	vast	ADJ
cana-1289	114	20	amount	amount	NOUN
cana-1289	114	21	of	of	ADP
cana-1289	114	22	data	datum	NOUN
cana-1289	114	23	pertaining	pertain	VERB
cana-1289	114	24	to	to	ADP
cana-1289	114	25	movies	movie	NOUN
cana-1289	114	26	,	,	PUNCT
cana-1289	114	27	including	include	VERB
cana-1289	114	28	metadata	metadata	NOUN
cana-1289	114	29	(	(	PUNCT
cana-1289	114	30	such	such	ADJ
cana-1289	114	31	as	as	ADP
cana-1289	114	32	genres	genre	NOUN
cana-1289	114	33	,	,	PUNCT
cana-1289	114	34	actors	actor	NOUN
cana-1289	114	35	,	,	PUNCT
cana-1289	114	36	and	and	CCONJ
cana-1289	114	37	directors	director	NOUN
cana-1289	114	38	)	)	PUNCT
cana-1289	114	39	,	,	PUNCT
cana-1289	114	40	textual	textual	ADJ
cana-1289	114	41	descriptions	description	NOUN
cana-1289	114	42	(	(	PUNCT
cana-1289	114	43	such	such	ADJ
cana-1289	114	44	as	as	ADP
cana-1289	114	45	synopses	synopsis	NOUN
cana-1289	114	46	and	and	CCONJ
cana-1289	114	47	reviews	review	NOUN
cana-1289	114	48	)	)	PUNCT
cana-1289	114	49	,	,	PUNCT
cana-1289	114	50	and	and	CCONJ
cana-1289	114	51	images	image	NOUN
cana-1289	114	52	(	(	PUNCT
cana-1289	114	53	such	such	ADJ
cana-1289	114	54	as	as	ADP
cana-1289	114	55	posters	poster	NOUN
cana-1289	114	56	and	and	CCONJ
cana-1289	114	57	stills	still	NOUN
cana-1289	114	58	)	)	PUNCT
cana-1289	114	59	.	.	PUNCT
cana-1289	115	1	an	an	DET
cana-1289	115	2	extensive	extensive	ADJ
cana-1289	115	3	array	array	NOUN
cana-1289	115	4	of	of	ADP
cana-1289	115	5	information	information	NOUN
cana-1289	115	6	is	be	AUX
cana-1289	115	7	necessary	necessary	ADJ
cana-1289	115	8	to	to	PART
cana-1289	115	9	undertake	undertake	VERB
cana-1289	115	10	a	a	DET
cana-1289	115	11	comprehensive	comprehensive	ADJ
cana-1289	115	12	study	study	NOUN
cana-1289	115	13	of	of	ADP
cana-1289	115	14	content	content	NOUN
cana-1289	115	15	and	and	CCONJ
cana-1289	115	16	user	user	NOUN
cana-1289	115	17	interaction	interaction	NOUN
cana-1289	115	18	patterns	pattern	NOUN
cana-1289	115	19	,	,	PUNCT
cana-1289	115	20	which	which	PRON
cana-1289	115	21	is	be	AUX
cana-1289	115	22	vital	vital	ADJ
cana-1289	115	23	for	for	ADP
cana-1289	115	24	enhancing	enhance	VERB
cana-1289	115	25	the	the	DET
cana-1289	115	26	precision	precision	NOUN
cana-1289	115	27	of	of	ADP
cana-1289	115	28	suggestions	suggestion	NOUN
cana-1289	115	29	[	[	X
cana-1289	115	30	26	26	NUM
cana-1289	115	31	]	]	PUNCT
cana-1289	115	32	.	.	PUNCT
cana-1289	116	1	3.1.1	3.1.1	NUM
cana-1289	116	2	data	datum	NOUN
cana-1289	116	3	preprocessing	preprocesse	VERB
cana-1289	116	4	steps	step	NOUN
cana-1289	116	5	:	:	PUNCT
cana-1289	116	6	image	image	NOUN
cana-1289	116	7	preprocessing	preprocessing	NOUN
cana-1289	116	8	:	:	PUNCT
cana-1289	116	9	normalization	normalization	NOUN
cana-1289	116	10	is	be	AUX
cana-1289	116	11	a	a	DET
cana-1289	116	12	technique	technique	NOUN
cana-1289	116	13	used	use	VERB
cana-1289	116	14	to	to	PART
cana-1289	116	15	improve	improve	VERB
cana-1289	116	16	the	the	DET
cana-1289	116	17	efficiency	efficiency	NOUN
cana-1289	116	18	and	and	CCONJ
cana-1289	116	19	efficacy	efficacy	NOUN
cana-1289	116	20	of	of	ADP
cana-1289	116	21	model	model	NOUN
cana-1289	116	22	processing	processing	NOUN
cana-1289	116	23	.	.	PUNCT
cana-1289	117	1	it	it	PRON
cana-1289	117	2	involves	involve	VERB
cana-1289	117	3	adjusting	adjust	VERB
cana-1289	117	4	the	the	DET
cana-1289	117	5	pixel	pixel	ADJ
cana-1289	117	6	values	value	NOUN
cana-1289	117	7	of	of	ADP
cana-1289	117	8	images	image	NOUN
cana-1289	117	9	so	so	SCONJ
cana-1289	117	10	that	that	SCONJ
cana-1289	117	11	they	they	PRON
cana-1289	117	12	fall	fall	VERB
cana-1289	117	13	within	within	ADP
cana-1289	117	14	a	a	DET
cana-1289	117	15	range	range	NOUN
cana-1289	117	16	of	of	ADP
cana-1289	117	17	0to1	0to1	NOUN
cana-1289	117	18	.	.	PUNCT
cana-1289	118	1	resizing	resizing	NOUN
cana-1289	118	2	:	:	PUNCT
cana-1289	118	3	in	in	ADP
cana-1289	118	4	order	order	NOUN
cana-1289	118	5	to	to	PART
cana-1289	118	6	preserve	preserve	VERB
cana-1289	118	7	consistency	consistency	NOUN
cana-1289	118	8	and	and	CCONJ
cana-1289	118	9	ensure	ensure	VERB
cana-1289	118	10	that	that	SCONJ
cana-1289	118	11	all	all	DET
cana-1289	118	12	images	image	NOUN
cana-1289	118	13	have	have	VERB
cana-1289	118	14	the	the	DET
cana-1289	118	15	same	same	ADJ
cana-1289	118	16	dimensions	dimension	NOUN
cana-1289	118	17	for	for	ADP
cana-1289	118	18	the	the	DET
cana-1289	118	19	cnn	cnn	PROPN
cana-1289	118	20	,	,	PUNCT
cana-1289	118	21	it	it	PRON
cana-1289	118	22	is	be	AUX
cana-1289	118	23	necessary	necessary	ADJ
cana-1289	118	24	to	to	PART
cana-1289	118	25	resize	resize	VERB
cana-1289	118	26	them	they	PRON
cana-1289	118	27	to	to	ADP
cana-1289	118	28	a	a	DET
cana-1289	118	29	uniform	uniform	ADJ
cana-1289	118	30	size	size	NOUN
cana-1289	118	31	,	,	PUNCT
cana-1289	118	32	such	such	ADJ
cana-1289	118	33	as	as	ADP
cana-1289	118	34	224x224	224x224	NUM
cana-1289	118	35	pixels	pixel	NOUN
cana-1289	118	36	[	[	X
cana-1289	118	37	28	28	NUM
cana-1289	118	38	]	]	PUNCT
cana-1289	118	39	.	.	PUNCT
cana-1289	119	1	text	text	NOUN
cana-1289	119	2	preprocessing	preprocessing	NOUN
cana-1289	119	3	:	:	PUNCT
cana-1289	119	4	tokenization	tokenization	NOUN
cana-1289	119	5	breaks	break	VERB
cana-1289	119	6	text	text	NOUN
cana-1289	119	7	into	into	ADP
cana-1289	119	8	words	word	NOUN
cana-1289	119	9	or	or	CCONJ
cana-1289	119	10	tokens	token	NOUN
cana-1289	119	11	.	.	PUNCT
cana-1289	120	1	important	important	ADJ
cana-1289	120	2	natural	natural	ADJ
cana-1289	120	3	language	language	NOUN
cana-1289	120	4	processing	processing	NOUN
cana-1289	120	5	step	step	NOUN
cana-1289	120	6	[	[	X
cana-1289	120	7	29].vectorization	29].vectorization	PROPN
cana-1289	120	8	is	be	AUX
cana-1289	120	9	the	the	DET
cana-1289	120	10	conversion	conversion	NOUN
cana-1289	120	11	of	of	ADP
cana-1289	120	12	tokens	token	NOUN
cana-1289	120	13	into	into	ADP
cana-1289	120	14	numerical	numerical	ADJ
cana-1289	120	15	vectors	vector	NOUN
cana-1289	120	16	using	use	VERB
cana-1289	120	17	techniques	technique	NOUN
cana-1289	120	18	such	such	ADJ
cana-1289	120	19	as	as	ADP
cana-1289	120	20	tfidf	tfidf	NOUN
cana-1289	120	21	or	or	CCONJ
cana-1289	120	22	word	word	NOUN
cana-1289	120	23	embeddings	embedding	NOUN
cana-1289	120	24	like	like	ADP
cana-1289	120	25	word2vec	word2vec	X
cana-1289	120	26	or	or	CCONJ
cana-1289	120	27	glove	glove	NOUN
cana-1289	120	28	.	.	PUNCT
cana-1289	121	1	this	this	DET
cana-1289	121	2	step	step	NOUN
cana-1289	121	3	effectively	effectively	ADV
cana-1289	121	4	allows	allow	VERB
cana-1289	121	5	the	the	DET
cana-1289	121	6	model	model	NOUN
cana-1289	121	7	to	to	PART
cana-1289	121	8	handle	handle	VERB
cana-1289	121	9	textual	textual	ADJ
cana-1289	121	10	data	datum	NOUN
cana-1289	121	11	[	[	X
cana-1289	121	12	30	30	NUM
cana-1289	121	13	]	]	PUNCT
cana-1289	121	14	.	.	PUNCT
cana-1289	122	1	metadata	metadata	PROPN
cana-1289	122	2	encoding	encoding	NOUN
cana-1289	122	3	:	:	PUNCT
cana-1289	122	4	transform	transform	VERB
cana-1289	122	5	categorical	categorical	ADJ
cana-1289	122	6	variables	variable	NOUN
cana-1289	122	7	,	,	PUNCT
cana-1289	122	8	such	such	ADJ
cana-1289	122	9	as	as	ADP
cana-1289	122	10	genres	genre	NOUN
cana-1289	122	11	,	,	PUNCT
cana-1289	122	12	cast	cast	NOUN
cana-1289	122	13	,	,	PUNCT
cana-1289	122	14	and	and	CCONJ
cana-1289	122	15	directors	director	NOUN
cana-1289	122	16	,	,	PUNCT
cana-1289	122	17	into	into	ADP
cana-1289	122	18	numerical	numerical	ADJ
cana-1289	122	19	representations	representation	NOUN
cana-1289	122	20	using	use	VERB
cana-1289	122	21	either	either	CCONJ
cana-1289	122	22	one	one	NUM
cana-1289	122	23	-	-	PUNCT
cana-1289	122	24	hot	hot	ADJ
cana-1289	122	25	encoding	encoding	NOUN
cana-1289	122	26	or	or	CCONJ
cana-1289	122	27	embeddings	embedding	NOUN
cana-1289	122	28	.	.	PUNCT
cana-1289	123	1	this	this	DET
cana-1289	123	2	method	method	NOUN
cana-1289	123	3	improves	improve	VERB
cana-1289	123	4	the	the	DET
cana-1289	123	5	model	model	NOUN
cana-1289	123	6	's	's	PART
cana-1289	123	7	capacity	capacity	NOUN
cana-1289	123	8	to	to	PART
cana-1289	123	9	interpret	interpret	VERB
cana-1289	123	10	these	these	DET
cana-1289	123	11	features	feature	NOUN
cana-1289	123	12	[	[	X
cana-1289	123	13	31	31	NUM
cana-1289	123	14	]	]	PUNCT
cana-1289	123	15	.	.	PUNCT
cana-1289	124	1	interaction	interaction	NOUN
cana-1289	124	2	data	datum	NOUN
cana-1289	124	3	processing	processing	NOUN
cana-1289	124	4	,	,	PUNCT
cana-1289	124	5	sequence	sequence	NOUN
cana-1289	124	6	construction	construction	NOUN
cana-1289	124	7	:	:	PUNCT
cana-1289	124	8	arrange	arrange	NOUN
cana-1289	124	9	user	user	NOUN
cana-1289	124	10	interactions	interaction	NOUN
cana-1289	124	11	(	(	PUNCT
cana-1289	124	12	such	such	ADJ
cana-1289	124	13	as	as	ADP
cana-1289	124	14	ratings	rating	NOUN
cana-1289	124	15	and	and	CCONJ
cana-1289	124	16	clicks	click	NOUN
cana-1289	124	17	)	)	PUNCT
cana-1289	124	18	in	in	ADP
cana-1289	124	19	chronological	chronological	ADJ
cana-1289	124	20	order	order	NOUN
cana-1289	124	21	for	for	SCONJ
cana-1289	124	22	each	each	DET
cana-1289	124	23	user	user	NOUN
cana-1289	124	24	to	to	PART
cana-1289	124	25	capture	capture	VERB
cana-1289	124	26	the	the	DET
cana-1289	124	27	temporal	temporal	ADJ
cana-1289	124	28	dynamics	dynamic	NOUN
cana-1289	124	29	in	in	ADP
cana-1289	124	30	user	user	NOUN
cana-1289	124	31	behavior	behavior	NOUN
cana-1289	124	32	[	[	X
cana-1289	124	33	32	32	NUM
cana-1289	124	34	]	]	PUNCT
cana-1289	124	35	.	.	PUNCT
cana-1289	125	1	communications	communication	NOUN
cana-1289	125	2	on	on	ADP
cana-1289	125	3	applied	apply	VERB
cana-1289	125	4	nonlinear	nonlinear	ADJ
cana-1289	125	5	analysis	analysis	NOUN
cana-1289	125	6	issn	issn	NOUN
cana-1289	125	7	:	:	PUNCT
cana-1289	125	8	1074	1074	NUM
cana-1289	125	9	-	-	PUNCT
cana-1289	125	10	133x	133x	NUM
cana-1289	125	11	vol	vol	NOUN
cana-1289	125	12	31	31	NUM
cana-1289	125	13	no	no	NOUN
cana-1289	125	14	.	.	PUNCT
cana-1289	126	1	7s	7	NOUN
cana-1289	126	2	(	(	PUNCT
cana-1289	126	3	2024	2024	NUM
cana-1289	126	4	)	)	PUNCT
cana-1289	126	5	122	122	NUM
cana-1289	126	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1289	126	7	3.2	3.2	NUM
cana-1289	126	8	model	model	NOUN
cana-1289	126	9	architecture	architecture	NOUN
cana-1289	126	10	3.2.1	3.2.1	NUM
cana-1289	126	11	hybrid	hybrid	NOUN
cana-1289	126	12	recommender	recommender	NOUN
cana-1289	126	13	system	system	NOUN
cana-1289	126	14	exploiting	exploit	VERB
cana-1289	126	15	layered	layered	ADJ
cana-1289	126	16	cnns	cnn	NOUN
cana-1289	126	17	:	:	PUNCT
cana-1289	126	18	cnn	cnn	PROPN
cana-1289	126	19	-	-	PUNCT
cana-1289	126	20	enhanced	enhance	VERB
cana-1289	126	21	feature	feature	NOUN
cana-1289	126	22	extraction	extraction	NOUN
cana-1289	126	23	:	:	PUNCT
cana-1289	126	24	•	•	NUM
cana-1289	126	25	initial	initial	ADJ
cana-1289	126	26	feature	feature	NOUN
cana-1289	126	27	extraction	extraction	NOUN
cana-1289	126	28	:	:	PUNCT
cana-1289	126	29	a.	a.	NOUN
cana-1289	126	30	convolutional	convolutional	ADJ
cana-1289	126	31	neural	neural	ADJ
cana-1289	126	32	networks	network	NOUN
cana-1289	126	33	:	:	PUNCT
cana-1289	126	34	employ	employ	VERB
cana-1289	126	35	several	several	ADJ
cana-1289	126	36	convolutional	convolutional	ADJ
cana-1289	126	37	neural	neural	ADJ
cana-1289	126	38	networks	network	NOUN
cana-1289	126	39	to	to	PART
cana-1289	126	40	extract	extract	VERB
cana-1289	126	41	sophisticated	sophisticated	ADJ
cana-1289	126	42	visual	visual	ADJ
cana-1289	126	43	information	information	NOUN
cana-1289	126	44	from	from	ADP
cana-1289	126	45	product	product	NOUN
cana-1289	126	46	photos	photo	NOUN
cana-1289	126	47	.	.	PUNCT
cana-1289	127	1	every	every	DET
cana-1289	127	2	network	network	NOUN
cana-1289	127	3	utilizes	utilize	VERB
cana-1289	127	4	convolution	convolution	NOUN
cana-1289	127	5	operations	operation	NOUN
cana-1289	127	6	with	with	ADP
cana-1289	127	7	filters	filter	NOUN
cana-1289	127	8	of	of	ADP
cana-1289	127	9	different	different	ADJ
cana-1289	127	10	sizes	size	NOUN
cana-1289	127	11	and	and	CCONJ
cana-1289	127	12	depths	depth	NOUN
cana-1289	127	13	,	,	PUNCT
cana-1289	127	14	which	which	PRON
cana-1289	127	15	are	be	AUX
cana-1289	127	16	crucial	crucial	ADJ
cana-1289	127	17	for	for	ADP
cana-1289	127	18	capturing	capture	VERB
cana-1289	127	19	intricate	intricate	ADJ
cana-1289	127	20	visual	visual	ADJ
cana-1289	127	21	information	information	NOUN
cana-1289	127	22	[	[	X
cana-1289	127	23	33	33	NUM
cana-1289	127	24	]	]	PUNCT
cana-1289	127	25	.	.	PUNCT
cana-1289	128	1	in	in	ADP
cana-1289	128	2	addition	addition	NOUN
cana-1289	128	3	,	,	PUNCT
cana-1289	128	4	relu	relu	NOUN
cana-1289	128	5	activation	activation	NOUN
cana-1289	128	6	functions	function	NOUN
cana-1289	128	7	should	should	AUX
cana-1289	128	8	be	be	AUX
cana-1289	128	9	applied	apply	VERB
cana-1289	128	10	to	to	PART
cana-1289	128	11	introduce	introduce	VERB
cana-1289	128	12	non	non	ADJ
cana-1289	128	13	-	-	ADJ
cana-1289	128	14	linearity	linearity	ADJ
cana-1289	128	15	,	,	PUNCT
cana-1289	128	16	and	and	CCONJ
cana-1289	128	17	pooling	pool	VERB
cana-1289	128	18	layers	layer	NOUN
cana-1289	128	19	,	,	PUNCT
cana-1289	128	20	such	such	ADJ
cana-1289	128	21	as	as	ADP
cana-1289	128	22	max	max	PROPN
cana-1289	128	23	pooling	pooling	NOUN
cana-1289	128	24	,	,	PUNCT
cana-1289	128	25	should	should	AUX
cana-1289	128	26	be	be	AUX
cana-1289	128	27	used	use	VERB
cana-1289	128	28	to	to	PART
cana-1289	128	29	decrease	decrease	VERB
cana-1289	128	30	spatial	spatial	ADJ
cana-1289	128	31	dimensions	dimension	NOUN
cana-1289	128	32	and	and	CCONJ
cana-1289	128	33	preserve	preserve	VERB
cana-1289	128	34	significant	significant	ADJ
cana-1289	128	35	features	feature	NOUN
cana-1289	129	1	[	[	X
cana-1289	129	2	34	34	NUM
cana-1289	129	3	]	]	PUNCT
cana-1289	129	4	.	.	PUNCT
cana-1289	130	1	equation	equation	NOUN
cana-1289	130	2	for	for	ADP
cana-1289	130	3	convolution	convolution	NOUN
cana-1289	130	4	operation	operation	NOUN
cana-1289	130	5	:	:	PUNCT
cana-1289	130	6	(	(	PUNCT
cana-1289	130	7	)	)	PUNCT
cana-1289	130	8	(	(	PUNCT
cana-1289	130	9	)	)	PUNCT
cana-1289	130	10	(	(	PUNCT
cana-1289	130	11	)	)	PUNCT
cana-1289	130	12	,	,	PUNCT
cana-1289	130	13	,	,	PUNCT
cana-1289	130	14	l	l	PROPN
cana-1289	130	15	l	l	X
cana-1289	130	16	l	l	NOUN
cana-1289	131	1	ij	ij	INTJ
cana-1289	132	1	i	i	PRON
cana-1289	132	2	m	m	VERB
cana-1289	132	3	j	j	PROPN
cana-1289	132	4	n	n	CCONJ
cana-1289	132	5	mn	mn	PROPN
cana-1289	132	6	m	m	PROPN
cana-1289	132	7	n	n	ADP
cana-1289	132	8	f	f	NOUN
cana-1289	132	9	i	i	PROPN
cana-1289	132	10	k	k	PROPN
cana-1289	132	11	b	b	PROPN
cana-1289	133	1	+	+	PROPN
cana-1289	134	1	+	+	NUM
cana-1289	134	2			NOUN
cana-1289	134	3			NOUN
cana-1289	134	4	=	=	PUNCT
cana-1289	135	1			PROPN
cana-1289	135	2	+	+	CCONJ
cana-1289	135	3			PROPN
cana-1289	135	4			CCONJ
cana-1289	135	5			PROPN
cana-1289	135	6			NOUN
cana-1289	135	7			X
cana-1289	135	8	•	•	NUM
cana-1289	135	9	(	(	PUNCT
cana-1289	135	10	)	)	PUNCT
cana-1289	135	11	l	l	NOUN
cana-1289	135	12	ijf	ijf	NOUN
cana-1289	135	13	is	be	AUX
cana-1289	135	14	the	the	DET
cana-1289	135	15	feature	feature	NOUN
cana-1289	135	16	map	map	NOUN
cana-1289	135	17	at	at	ADP
cana-1289	135	18	layer	layer	NOUN
cana-1289	135	19	l	l	NOUN
cana-1289	135	20	,	,	PUNCT
cana-1289	135	21	•	•	PRON
cana-1289	135	22			PROPN
cana-1289	135	23	is	be	AUX
cana-1289	135	24	the	the	DET
cana-1289	135	25	non	non	ADJ
cana-1289	135	26	-	-	ADJ
cana-1289	135	27	linear	linear	ADJ
cana-1289	135	28	activation	activation	NOUN
cana-1289	135	29	function	function	NOUN
cana-1289	135	30	(	(	PUNCT
cana-1289	135	31	e.g.	e.g.	ADV
cana-1289	135	32	,	,	PUNCT
cana-1289	135	33	relu	relu	NOUN
cana-1289	135	34	)	)	PUNCT
cana-1289	135	35	,	,	PUNCT
cana-1289	135	36	•	•	X
cana-1289	135	37	i	i	PRON
cana-1289	135	38	is	be	AUX
cana-1289	135	39	the	the	DET
cana-1289	135	40	input	input	NOUN
cana-1289	135	41	image	image	NOUN
cana-1289	135	42	matrix	matrix	NOUN
cana-1289	135	43	,	,	PUNCT
cana-1289	135	44	•	•	PRON
cana-1289	135	45	(	(	PUNCT
cana-1289	135	46	)	)	PUNCT
cana-1289	135	47	lk	lk	PROPN
cana-1289	135	48	is	be	AUX
cana-1289	135	49	the	the	DET
cana-1289	135	50	convolution	convolution	NOUN
cana-1289	135	51	kernel	kernel	NOUN
cana-1289	135	52	for	for	ADP
cana-1289	135	53	layer	layer	NOUN
cana-1289	135	54	l	l	NOUN
cana-1289	135	55	,	,	PUNCT
cana-1289	135	56	`	`	PUNCT
cana-1289	135	57	•	•	PRON
cana-1289	135	58	(	(	PUNCT
cana-1289	135	59	)	)	PUNCT
cana-1289	135	60	lb	lb	NOUN
cana-1289	135	61	is	be	AUX
cana-1289	135	62	the	the	DET
cana-1289	135	63	bias	bias	NOUN
cana-1289	135	64	term	term	NOUN
cana-1289	135	65	for	for	ADP
cana-1289	135	66	layer	layer	NOUN
cana-1289	135	67	l	l	NOUN
cana-1289	135	68	,	,	PUNCT
cana-1289	135	69	•	•	NUM
cana-1289	135	70	m	m	NOUN
cana-1289	135	71	,	,	PUNCT
cana-1289	135	72	n	n	PRON
cana-1289	135	73	are	be	AUX
cana-1289	135	74	the	the	DET
cana-1289	135	75	indices	index	NOUN
cana-1289	135	76	in	in	ADP
cana-1289	135	77	the	the	DET
cana-1289	135	78	kernel	kernel	PROPN
cana-1289	135	79	matrix	matrix	NOUN
cana-1289	135	80	.	.	PUNCT
cana-1289	136	1	figure	figure	NOUN
cana-1289	136	2	:	:	PUNCT
cana-1289	136	3	hybrid	hybrid	ADJ
cana-1289	136	4	recommender	recommender	NOUN
cana-1289	136	5	system	system	NOUN
cana-1289	136	6	with	with	ADP
cana-1289	136	7	layered	layered	ADJ
cana-1289	136	8	cnns	cnns	ADJ
cana-1289	136	9	communications	communication	NOUN
cana-1289	136	10	on	on	ADP
cana-1289	136	11	applied	apply	VERB
cana-1289	136	12	nonlinear	nonlinear	ADJ
cana-1289	136	13	analysis	analysis	NOUN
cana-1289	136	14	issn	issn	NOUN
cana-1289	136	15	:	:	PUNCT
cana-1289	136	16	1074	1074	NUM
cana-1289	136	17	-	-	PUNCT
cana-1289	136	18	133x	133x	NUM
cana-1289	136	19	vol	vol	NOUN
cana-1289	136	20	31	31	NUM
cana-1289	136	21	no	no	NOUN
cana-1289	136	22	.	.	PUNCT
cana-1289	137	1	7s	7	NOUN
cana-1289	137	2	(	(	PUNCT
cana-1289	137	3	2024	2024	NUM
cana-1289	137	4	)	)	PUNCT
cana-1289	137	5	123	123	NUM
cana-1289	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	137	7	algorithm	algorithm	NOUN
cana-1289	137	8	:	:	PUNCT
cana-1289	137	9	hybrid	hybrid	ADJ
cana-1289	137	10	recommender	recommender	NOUN
cana-1289	137	11	system	system	NOUN
cana-1289	137	12	with	with	ADP
cana-1289	137	13	layered	layered	ADJ
cana-1289	137	14	cnns	cnns	ADJ
cana-1289	137	15	cnn	cnn	PROPN
cana-1289	137	16	-	-	PUNCT
cana-1289	137	17	enhanced	enhance	VERB
cana-1289	137	18	feature	feature	NOUN
cana-1289	137	19	extraction	extraction	NOUN
cana-1289	137	20	input	input	NOUN
cana-1289	137	21	:	:	PUNCT
cana-1289	137	22	•	•	PUNCT
cana-1289	137	23	product	product	NOUN
cana-1289	137	24	image	image	NOUN
cana-1289	137	25	i	i	PRON
cana-1289	137	26	output	output	VERB
cana-1289	137	27	:	:	PUNCT
cana-1289	137	28	•	•	NUM
cana-1289	137	29	feature	feature	NOUN
cana-1289	137	30	map	map	NOUN
cana-1289	137	31	representing	represent	VERB
cana-1289	137	32	extracted	extract	VERB
cana-1289	137	33	visual	visual	ADJ
cana-1289	137	34	features	feature	NOUN
cana-1289	137	35	f	f	PROPN
cana-1289	137	36	1	1	X
cana-1289	137	37	.	.	PUNCT
cana-1289	137	38	begin	begin	VERB
cana-1289	137	39	2	2	NUM
cana-1289	137	40	.	.	X
cana-1289	138	1	preprocessing	preprocesse	VERB
cana-1289	138	2	(	(	PUNCT
cana-1289	138	3	optional	optional	ADJ
cana-1289	138	4	):	):	PUNCT
cana-1289	138	5	•	•	NUM
cana-1289	138	6	normalize	normalize	VERB
cana-1289	138	7	the	the	DET
cana-1289	138	8	pixel	pixel	PROPN
cana-1289	138	9	values	value	NOUN
cana-1289	138	10	of	of	ADP
cana-1289	138	11	the	the	DET
cana-1289	138	12	image	image	NOUN
cana-1289	138	13	i.	i.	NOUN
cana-1289	138	14	•	•	ADP
cana-1289	138	15	resize	resize	VERB
cana-1289	138	16	the	the	DET
cana-1289	138	17	image	image	NOUN
cana-1289	138	18	i	i	PRON
cana-1289	138	19	to	to	ADP
cana-1289	138	20	a	a	DET
cana-1289	138	21	consistent	consistent	ADJ
cana-1289	138	22	size	size	NOUN
cana-1289	138	23	.	.	PUNCT
cana-1289	139	1	3	3	X
cana-1289	139	2	.	.	X
cana-1289	139	3	initialize	initialize	VERB
cana-1289	139	4	an	an	DET
cana-1289	139	5	empty	empty	ADJ
cana-1289	139	6	feature	feature	NOUN
cana-1289	139	7	map	map	NOUN
cana-1289	139	8	f.	f.	PROPN
cana-1289	139	9	4	4	NUM
cana-1289	139	10	.	.	PUNCT
cana-1289	139	11	convolutional	convolutional	ADJ
cana-1289	139	12	layer	layer	NOUN
cana-1289	139	13	1	1	NUM
cana-1289	139	14	:	:	SYM
cana-1289	139	15	•	•	NOUN
cana-1289	139	16	apply	apply	VERB
cana-1289	139	17	convolution	convolution	NOUN
cana-1289	139	18	operation	operation	NOUN
cana-1289	139	19	to	to	ADP
cana-1289	139	20	i	i	PRON
cana-1289	139	21	with	with	ADP
cana-1289	139	22	appropriate	appropriate	ADJ
cana-1289	139	23	filter	filter	NOUN
cana-1289	139	24	size	size	NOUN
cana-1289	139	25	and	and	CCONJ
cana-1289	139	26	number	number	NOUN
cana-1289	139	27	of	of	ADP
cana-1289	139	28	filters	filter	NOUN
cana-1289	139	29	to	to	PART
cana-1289	139	30	extract	extract	VERB
cana-1289	139	31	features	feature	NOUN
cana-1289	139	32	,	,	PUNCT
cana-1289	139	33	resulting	result	VERB
cana-1289	139	34	in	in	ADP
cana-1289	139	35	an	an	DET
cana-1289	139	36	intermediate	intermediate	ADJ
cana-1289	139	37	feature	feature	NOUN
cana-1289	139	38	map	map	NOUN
cana-1289	139	39	.	.	PUNCT
cana-1289	140	1	•	•	NUM
cana-1289	140	2	apply	apply	VERB
cana-1289	140	3	relu	relu	NOUN
cana-1289	140	4	activation	activation	NOUN
cana-1289	140	5	function	function	NOUN
cana-1289	140	6	for	for	ADP
cana-1289	140	7	non	non	ADJ
cana-1289	140	8	-	-	ADJ
cana-1289	140	9	linearity	linearity	ADJ
cana-1289	140	10	.	.	PUNCT
cana-1289	141	1	•	•	NUM
cana-1289	141	2	apply	apply	VERB
cana-1289	141	3	pooling	pool	VERB
cana-1289	141	4	operation	operation	NOUN
cana-1289	141	5	(	(	PUNCT
cana-1289	141	6	e.g.	e.g.	ADV
cana-1289	141	7	,	,	PUNCT
cana-1289	141	8	max	max	PROPN
cana-1289	141	9	pooling	pooling	NOUN
cana-1289	141	10	)	)	PUNCT
cana-1289	141	11	to	to	PART
cana-1289	141	12	lower	low	ADJ
cana-1289	141	13	feature	feature	NOUN
cana-1289	141	14	map	map	NOUN
cana-1289	141	15	spatial	spatial	ADJ
cana-1289	141	16	dimensionality	dimensionality	NOUN
cana-1289	141	17	.	.	PUNCT
cana-1289	142	1	5	5	X
cana-1289	142	2	.	.	X
cana-1289	142	3	convolutional	convolutional	ADJ
cana-1289	142	4	layer	layer	NOUN
cana-1289	142	5	2	2	NUM
cana-1289	142	6	:	:	SYM
cana-1289	142	7	•	•	NOUN
cana-1289	142	8	apply	apply	VERB
cana-1289	142	9	convolution	convolution	NOUN
cana-1289	142	10	operation	operation	NOUN
cana-1289	142	11	to	to	ADP
cana-1289	142	12	the	the	DET
cana-1289	142	13	output	output	NOUN
cana-1289	142	14	of	of	ADP
cana-1289	142	15	convolutional	convolutional	ADJ
cana-1289	142	16	layer	layer	NOUN
cana-1289	142	17	1	1	NUM
cana-1289	142	18	with	with	ADP
cana-1289	142	19	appropriate	appropriate	ADJ
cana-1289	142	20	filter	filter	NOUN
cana-1289	142	21	size	size	NOUN
cana-1289	142	22	and	and	CCONJ
cana-1289	142	23	number	number	NOUN
cana-1289	142	24	of	of	ADP
cana-1289	142	25	filters	filter	NOUN
cana-1289	142	26	.	.	PUNCT
cana-1289	143	1	•	•	NUM
cana-1289	143	2	apply	apply	VERB
cana-1289	143	3	relu	relu	NOUN
cana-1289	143	4	activation	activation	NOUN
cana-1289	143	5	function	function	NOUN
cana-1289	143	6	for	for	ADP
cana-1289	143	7	non	non	ADJ
cana-1289	143	8	-	-	ADJ
cana-1289	143	9	linearity	linearity	ADJ
cana-1289	143	10	.	.	PUNCT
cana-1289	144	1	•	•	NUM
cana-1289	144	2	apply	apply	VERB
cana-1289	144	3	pooling	pool	VERB
cana-1289	144	4	operation	operation	NOUN
cana-1289	144	5	(	(	PUNCT
cana-1289	144	6	e.g.	e.g.	ADV
cana-1289	144	7	,	,	PUNCT
cana-1289	144	8	max	max	PROPN
cana-1289	144	9	pooling	pooling	NOUN
cana-1289	144	10	)	)	PUNCT
cana-1289	144	11	to	to	PART
cana-1289	144	12	further	far	ADV
cana-1289	144	13	to	to	PART
cana-1289	144	14	lower	low	ADJ
cana-1289	144	15	feature	feature	NOUN
cana-1289	144	16	map	map	NOUN
cana-1289	144	17	spatial	spatial	ADJ
cana-1289	144	18	dimensionality	dimensionality	NOUN
cana-1289	144	19	.	.	PUNCT
cana-1289	145	1	6	6	NUM
cana-1289	145	2	.	.	X
cana-1289	145	3	attention	attention	NOUN
cana-1289	145	4	mechanism	mechanism	NOUN
cana-1289	145	5	(	(	PUNCT
cana-1289	145	6	orange	orange	ADJ
cana-1289	145	7	):	):	PUNCT
cana-1289	145	8	•	•	ADV
cana-1289	145	9	apply	apply	VERB
cana-1289	145	10	an	an	DET
cana-1289	145	11	attention	attention	NOUN
cana-1289	145	12	mechanism	mechanism	NOUN
cana-1289	145	13	to	to	ADP
cana-1289	145	14	the	the	DET
cana-1289	145	15	output	output	NOUN
cana-1289	145	16	of	of	ADP
cana-1289	145	17	convolutional	convolutional	ADJ
cana-1289	145	18	layer	layer	NOUN
cana-1289	145	19	2	2	NUM
cana-1289	145	20	to	to	PART
cana-1289	145	21	focus	focus	VERB
cana-1289	145	22	on	on	ADP
cana-1289	145	23	critical	critical	ADJ
cana-1289	145	24	regions	region	NOUN
cana-1289	145	25	within	within	ADP
cana-1289	145	26	the	the	DET
cana-1289	145	27	product	product	NOUN
cana-1289	145	28	image	image	NOUN
cana-1289	145	29	.	.	PUNCT
cana-1289	146	1	•	•	NUM
cana-1289	146	2	assign	assign	VERB
cana-1289	146	3	weights	weight	NOUN
cana-1289	146	4	to	to	ADP
cana-1289	146	5	regions	region	NOUN
cana-1289	146	6	based	base	VERB
cana-1289	146	7	on	on	ADP
cana-1289	146	8	their	their	PRON
cana-1289	146	9	importance	importance	NOUN
cana-1289	146	10	for	for	ADP
cana-1289	146	11	user	user	NOUN
cana-1289	146	12	preferences	preference	NOUN
cana-1289	146	13	.	.	PUNCT
cana-1289	147	1	7	7	X
cana-1289	147	2	.	.	NUM
cana-1289	147	3	metadata	metadata	ADJ
cana-1289	147	4	integration	integration	NOUN
cana-1289	147	5	:	:	PUNCT
cana-1289	147	6	•	•	ADP
cana-1289	147	7	integrate	integrate	VERB
cana-1289	147	8	embedded	embed	VERB
cana-1289	147	9	metadata	metadata	NOUN
cana-1289	147	10	features	feature	NOUN
cana-1289	147	11	with	with	ADP
cana-1289	147	12	the	the	DET
cana-1289	147	13	visual	visual	ADJ
cana-1289	147	14	features	feature	NOUN
cana-1289	147	15	from	from	ADP
cana-1289	147	16	the	the	DET
cana-1289	147	17	attention	attention	NOUN
cana-1289	147	18	mechanism	mechanism	NOUN
cana-1289	147	19	.	.	PUNCT
cana-1289	148	1	•	•	NUM
cana-1289	148	2	combine	combine	VERB
cana-1289	148	3	the	the	DET
cana-1289	148	4	embedded	embed	VERB
cana-1289	148	5	metadata	metadata	NOUN
cana-1289	148	6	with	with	ADP
cana-1289	148	7	the	the	DET
cana-1289	148	8	visual	visual	ADJ
cana-1289	148	9	features	feature	NOUN
cana-1289	148	10	to	to	PART
cana-1289	148	11	produce	produce	VERB
cana-1289	148	12	the	the	DET
cana-1289	148	13	final	final	ADJ
cana-1289	148	14	output	output	NOUN
cana-1289	148	15	feature	feature	NOUN
cana-1289	148	16	map	map	NOUN
cana-1289	148	17	f.	f.	PROPN
cana-1289	148	18	8	8	NUM
cana-1289	148	19	.	.	PUNCT
cana-1289	149	1	return	return	VERB
cana-1289	149	2	the	the	DET
cana-1289	149	3	final	final	ADJ
cana-1289	149	4	feature	feature	NOUN
cana-1289	149	5	map	map	NOUN
cana-1289	149	6	f	f	NOUN
cana-1289	149	7	representing	represent	VERB
cana-1289	149	8	the	the	DET
cana-1289	149	9	extracted	extract	VERB
cana-1289	149	10	visual	visual	ADJ
cana-1289	149	11	features	feature	NOUN
cana-1289	149	12	of	of	ADP
cana-1289	149	13	the	the	DET
cana-1289	149	14	product	product	NOUN
cana-1289	149	15	image	image	NOUN
cana-1289	149	16	.	.	PUNCT
cana-1289	150	1	9	9	X
cana-1289	150	2	.	.	X
cana-1289	150	3	end	end	VERB
cana-1289	150	4	this	this	DET
cana-1289	150	5	algorithm	algorithm	NOUN
cana-1289	150	6	provides	provide	VERB
cana-1289	150	7	a	a	DET
cana-1289	150	8	detailed	detailed	ADJ
cana-1289	150	9	process	process	NOUN
cana-1289	150	10	for	for	ADP
cana-1289	150	11	extracting	extract	VERB
cana-1289	150	12	and	and	CCONJ
cana-1289	150	13	enhancing	enhance	VERB
cana-1289	150	14	visual	visual	ADJ
cana-1289	150	15	features	feature	NOUN
cana-1289	150	16	from	from	ADP
cana-1289	150	17	product	product	NOUN
cana-1289	150	18	images	image	NOUN
cana-1289	150	19	using	use	VERB
cana-1289	150	20	a	a	DET
cana-1289	150	21	cnn	cnn	PROPN
cana-1289	150	22	-	-	PUNCT
cana-1289	150	23	based	base	VERB
cana-1289	150	24	approach	approach	NOUN
cana-1289	150	25	.	.	PUNCT
cana-1289	151	1	combining	combine	VERB
cana-1289	151	2	features	feature	NOUN
cana-1289	151	3	:	:	PUNCT
cana-1289	151	4	deep	deep	ADJ
cana-1289	151	5	learning	learning	NOUN
cana-1289	151	6	models	model	NOUN
cana-1289	151	7	may	may	AUX
cana-1289	151	8	be	be	AUX
cana-1289	151	9	optimized	optimize	VERB
cana-1289	151	10	using	use	VERB
cana-1289	151	11	two	two	NUM
cana-1289	151	12	methods	method	NOUN
cana-1289	151	13	:	:	PUNCT
cana-1289	151	14	communications	communication	NOUN
cana-1289	151	15	on	on	ADP
cana-1289	151	16	applied	apply	VERB
cana-1289	151	17	nonlinear	nonlinear	ADJ
cana-1289	151	18	analysis	analysis	NOUN
cana-1289	151	19	issn	issn	NOUN
cana-1289	151	20	:	:	PUNCT
cana-1289	151	21	1074	1074	NUM
cana-1289	151	22	-	-	PUNCT
cana-1289	151	23	133x	133x	NUM
cana-1289	151	24	vol	vol	NOUN
cana-1289	151	25	31	31	NUM
cana-1289	151	26	no	no	NOUN
cana-1289	151	27	.	.	PUNCT
cana-1289	152	1	7s	7	NOUN
cana-1289	152	2	(	(	PUNCT
cana-1289	152	3	2024	2024	NUM
cana-1289	152	4	)	)	PUNCT
cana-1289	152	5	124	124	NUM
cana-1289	152	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	152	7	1	1	X
cana-1289	152	8	.	.	PUNCT
cana-1289	152	9	attention	attention	NOUN
cana-1289	152	10	mechanisms	mechanism	NOUN
cana-1289	152	11	can	can	AUX
cana-1289	152	12	be	be	AUX
cana-1289	152	13	used	use	VERB
cana-1289	152	14	to	to	PART
cana-1289	152	15	allocate	allocate	VERB
cana-1289	152	16	different	different	ADJ
cana-1289	152	17	levels	level	NOUN
cana-1289	152	18	of	of	ADP
cana-1289	152	19	significance	significance	NOUN
cana-1289	152	20	to	to	ADP
cana-1289	152	21	distinct	distinct	ADJ
cana-1289	152	22	components	component	NOUN
cana-1289	152	23	of	of	ADP
cana-1289	152	24	the	the	DET
cana-1289	152	25	input	input	NOUN
cana-1289	152	26	material	material	NOUN
cana-1289	152	27	.	.	PUNCT
cana-1289	153	1	the	the	DET
cana-1289	153	2	model	model	NOUN
cana-1289	153	3	may	may	AUX
cana-1289	153	4	prioritize	prioritize	VERB
cana-1289	153	5	the	the	DET
cana-1289	153	6	most	most	ADV
cana-1289	153	7	relevant	relevant	ADJ
cana-1289	153	8	elements	element	NOUN
cana-1289	153	9	based	base	VERB
cana-1289	153	10	on	on	ADP
cana-1289	153	11	user	user	NOUN
cana-1289	153	12	preferences	preference	NOUN
cana-1289	153	13	,	,	PUNCT
cana-1289	153	14	boosting	boost	VERB
cana-1289	153	15	its	its	PRON
cana-1289	153	16	focus	focus	NOUN
cana-1289	153	17	on	on	ADP
cana-1289	153	18	key	key	ADJ
cana-1289	153	19	data	datum	NOUN
cana-1289	153	20	[	[	X
cana-1289	153	21	35	35	NUM
cana-1289	153	22	]	]	SYM
cana-1289	153	23	.	.	PUNCT
cana-1289	154	1	2	2	X
cana-1289	154	2	.	.	NUM
cana-1289	154	3	metadata	metadata	ADJ
cana-1289	154	4	integration	integration	NOUN
cana-1289	154	5	is	be	AUX
cana-1289	154	6	the	the	DET
cana-1289	154	7	integration	integration	NOUN
cana-1289	154	8	of	of	ADP
cana-1289	154	9	embedded	embed	VERB
cana-1289	154	10	metadata	metadata	NOUN
cana-1289	154	11	with	with	ADP
cana-1289	154	12	the	the	DET
cana-1289	154	13	visual	visual	ADJ
cana-1289	154	14	elements	element	NOUN
cana-1289	154	15	of	of	ADP
cana-1289	154	16	the	the	DET
cana-1289	154	17	input	input	NOUN
cana-1289	154	18	through	through	ADP
cana-1289	154	19	the	the	DET
cana-1289	154	20	use	use	NOUN
cana-1289	154	21	of	of	ADP
cana-1289	154	22	completely	completely	ADV
cana-1289	154	23	connected	connected	ADJ
cana-1289	154	24	layers	layer	NOUN
cana-1289	154	25	.	.	PUNCT
cana-1289	155	1	this	this	PRON
cana-1289	155	2	leads	lead	VERB
cana-1289	155	3	to	to	ADP
cana-1289	155	4	a	a	DET
cana-1289	155	5	more	more	ADV
cana-1289	155	6	extensive	extensive	ADJ
cana-1289	155	7	collection	collection	NOUN
cana-1289	155	8	of	of	ADP
cana-1289	155	9	output	output	NOUN
cana-1289	155	10	characteristics	characteristic	NOUN
cana-1289	155	11	that	that	PRON
cana-1289	155	12	offer	offer	VERB
cana-1289	155	13	a	a	DET
cana-1289	155	14	more	more	ADV
cana-1289	155	15	thorough	thorough	ADJ
cana-1289	155	16	comprehension	comprehension	NOUN
cana-1289	155	17	of	of	ADP
cana-1289	155	18	the	the	DET
cana-1289	155	19	data	datum	NOUN
cana-1289	155	20	[	[	X
cana-1289	155	21	36	36	NUM
cana-1289	155	22	]	]	PUNCT
cana-1289	155	23	.	.	PUNCT
cana-1289	156	1	bi	bi	ADJ
cana-1289	156	2	-	-	ADJ
cana-1289	156	3	directional	directional	ADJ
cana-1289	156	4	rnn	rnn	NOUN
cana-1289	156	5	for	for	ADP
cana-1289	156	6	temporal	temporal	ADJ
cana-1289	156	7	dynamics	dynamic	NOUN
cana-1289	156	8	:	:	PUNCT
cana-1289	156	9	sequence	sequence	NOUN
cana-1289	156	10	modeling	modeling	NOUN
cana-1289	156	11	:	:	PUNCT
cana-1289	156	12	recurrent	recurrent	ADJ
cana-1289	156	13	neural	neural	ADJ
cana-1289	156	14	networks	network	NOUN
cana-1289	156	15	(	(	PUNCT
cana-1289	156	16	rnn	rnn	PROPN
cana-1289	156	17	)	)	PUNCT
cana-1289	156	18	cells	cell	NOUN
cana-1289	156	19	examine	examine	VERB
cana-1289	156	20	forward	forward	ADV
cana-1289	156	21	and	and	CCONJ
cana-1289	156	22	backward	backward	ADJ
cana-1289	156	23	user	user	NOUN
cana-1289	156	24	interaction	interaction	NOUN
cana-1289	156	25	sequences	sequence	NOUN
cana-1289	156	26	.	.	PUNCT
cana-1289	157	1	this	this	PRON
cana-1289	157	2	allows	allow	VERB
cana-1289	157	3	for	for	ADP
cana-1289	157	4	the	the	DET
cana-1289	157	5	capturing	capturing	NOUN
cana-1289	157	6	of	of	ADP
cana-1289	157	7	the	the	DET
cana-1289	157	8	temporal	temporal	ADJ
cana-1289	157	9	dynamics	dynamic	NOUN
cana-1289	157	10	that	that	PRON
cana-1289	157	11	are	be	AUX
cana-1289	157	12	essential	essential	ADJ
cana-1289	157	13	for	for	ADP
cana-1289	157	14	comprehending	comprehend	VERB
cana-1289	157	15	user	user	NOUN
cana-1289	157	16	behavior	behavior	NOUN
cana-1289	157	17	over	over	ADP
cana-1289	157	18	time	time	NOUN
cana-1289	157	19	[	[	X
cana-1289	157	20	37	37	NUM
cana-1289	157	21	]	]	PUNCT
cana-1289	157	22	.	.	PUNCT
cana-1289	158	1	bi	bi	ADJ
cana-1289	158	2	-	-	ADJ
cana-1289	158	3	directional	directional	ADJ
cana-1289	158	4	rnn	rnn	NOUN
cana-1289	158	5	cells	cell	NOUN
cana-1289	158	6	,	,	PUNCT
cana-1289	158	7	such	such	ADJ
cana-1289	158	8	as	as	ADP
cana-1289	158	9	long	long	ADJ
cana-1289	158	10	short	short	ADJ
cana-1289	158	11	-	-	PUNCT
cana-1289	158	12	term	term	NOUN
cana-1289	158	13	memory	memory	NOUN
cana-1289	158	14	(	(	PUNCT
cana-1289	158	15	lstm	lstm	NOUN
cana-1289	158	16	)	)	PUNCT
cana-1289	158	17	or	or	CCONJ
cana-1289	158	18	gated	gate	VERB
cana-1289	158	19	recurrent	recurrent	ADJ
cana-1289	158	20	unit	unit	NOUN
cana-1289	158	21	(	(	PUNCT
cana-1289	158	22	gru	gru	PROPN
cana-1289	158	23	)	)	PUNCT
cana-1289	158	24	,	,	PUNCT
cana-1289	158	25	are	be	AUX
cana-1289	158	26	used	use	VERB
cana-1289	158	27	to	to	PART
cana-1289	158	28	examine	examine	VERB
cana-1289	158	29	the	the	DET
cana-1289	158	30	sequences	sequence	NOUN
cana-1289	158	31	of	of	ADP
cana-1289	158	32	user	user	NOUN
cana-1289	158	33	interactions	interaction	NOUN
cana-1289	158	34	.	.	PUNCT
cana-1289	159	1	the	the	DET
cana-1289	159	2	results	result	NOUN
cana-1289	159	3	of	of	ADP
cana-1289	159	4	the	the	DET
cana-1289	159	5	forward	forward	ADJ
cana-1289	159	6	and	and	CCONJ
cana-1289	159	7	backward	backward	ADJ
cana-1289	159	8	passes	pass	NOUN
cana-1289	159	9	are	be	AUX
cana-1289	159	10	combined	combine	VERB
cana-1289	159	11	to	to	PART
cana-1289	159	12	create	create	VERB
cana-1289	159	13	a	a	DET
cana-1289	159	14	full	full	ADJ
cana-1289	159	15	temporal	temporal	ADJ
cana-1289	159	16	feature	feature	NOUN
cana-1289	159	17	representation	representation	NOUN
cana-1289	160	1	[	[	X
cana-1289	160	2	38	38	NUM
cana-1289	160	3	]	]	PUNCT
cana-1289	160	4	.	.	PUNCT
cana-1289	161	1	this	this	DET
cana-1289	161	2	approach	approach	NOUN
cana-1289	161	3	facilitates	facilitate	VERB
cana-1289	161	4	a	a	DET
cana-1289	161	5	comprehensive	comprehensive	ADJ
cana-1289	161	6	comprehension	comprehension	NOUN
cana-1289	161	7	of	of	ADP
cana-1289	161	8	user	user	NOUN
cana-1289	161	9	behavior	behavior	NOUN
cana-1289	161	10	over	over	ADP
cana-1289	161	11	a	a	DET
cana-1289	161	12	period	period	NOUN
cana-1289	161	13	of	of	ADP
cana-1289	161	14	time	time	NOUN
cana-1289	161	15	.	.	PUNCT
cana-1289	162	1	equation	equation	NOUN
cana-1289	162	2	for	for	ADP
cana-1289	162	3	rnn	rnn	NOUN
cana-1289	162	4	cell	cell	NOUN
cana-1289	162	5	:	:	PUNCT
cana-1289	162	6	(	(	PUNCT
cana-1289	162	7	)	)	PUNCT
cana-1289	162	8	1	1	NUM
cana-1289	162	9	t	t	NUM
cana-1289	162	10	hh	hh	PROPN
cana-1289	162	11	t	t	PROPN
cana-1289	162	12	xh	xh	PROPN
cana-1289	162	13	t	t	PROPN
cana-1289	162	14	hh	hh	PROPN
cana-1289	162	15	w	w	PROPN
cana-1289	162	16	h	h	PROPN
cana-1289	162	17	w	w	PROPN
cana-1289	162	18	x	x	PROPN
cana-1289	162	19	b	b	PROPN
cana-1289	162	20	−=	−=	NOUN
cana-1289	162	21			PROPN
cana-1289	162	22	+	+	CCONJ
cana-1289	162	23			PROPN
cana-1289	162	24	+	+	CCONJ
cana-1289	162	25	where	where	SCONJ
cana-1289	162	26	:	:	PUNCT
cana-1289	162	27	•	•	NUM
cana-1289	162	28	th	th	X
cana-1289	162	29	is	be	AUX
cana-1289	162	30	the	the	DET
cana-1289	162	31	hidden	hidden	ADJ
cana-1289	162	32	state	state	NOUN
cana-1289	162	33	at	at	ADP
cana-1289	162	34	time	time	NOUN
cana-1289	162	35	t	t	PROPN
cana-1289	162	36	,	,	PUNCT
cana-1289	162	37	•	•	NOUN
cana-1289	162	38	1th	1th	ADJ
cana-1289	162	39	−	−	NOUN
cana-1289	162	40	is	be	AUX
cana-1289	162	41	the	the	DET
cana-1289	162	42	hidden	hidden	ADJ
cana-1289	162	43	state	state	NOUN
cana-1289	162	44	at	at	ADP
cana-1289	162	45	time	time	NOUN
cana-1289	162	46	t−1	t−1	PROPN
cana-1289	162	47	,	,	PUNCT
cana-1289	162	48	•	•	PUNCT
cana-1289	162	49	𝑥𝑡	𝑥𝑡	ADV
cana-1289	162	50	is	be	AUX
cana-1289	162	51	the	the	DET
cana-1289	162	52	input	input	NOUN
cana-1289	162	53	at	at	ADP
cana-1289	162	54	time	time	NOUN
cana-1289	162	55	t	t	PROPN
cana-1289	162	56	,	,	PUNCT
cana-1289	162	57	•	•	NUM
cana-1289	162	58	hhw	hhw	NOUN
cana-1289	162	59	is	be	AUX
cana-1289	162	60	the	the	DET
cana-1289	162	61	weight	weight	NOUN
cana-1289	162	62	matrix	matrix	NOUN
cana-1289	162	63	for	for	ADP
cana-1289	162	64	hidden	hide	VERB
cana-1289	162	65	state	state	NOUN
cana-1289	162	66	transitions	transition	NOUN
cana-1289	162	67	,	,	PUNCT
cana-1289	162	68	•	•	NOUN
cana-1289	162	69	xhw	xhw	PROPN
cana-1289	162	70	is	be	AUX
cana-1289	162	71	the	the	DET
cana-1289	162	72	weight	weight	NOUN
cana-1289	162	73	matrix	matrix	NOUN
cana-1289	162	74	for	for	ADP
cana-1289	162	75	input	input	NOUN
cana-1289	162	76	to	to	ADP
cana-1289	162	77	hidden	hide	VERB
cana-1289	162	78	state	state	NOUN
cana-1289	162	79	,	,	PUNCT
cana-1289	162	80	•	•	NUM
cana-1289	162	81	hb	hb	PROPN
cana-1289	162	82	is	be	AUX
cana-1289	162	83	the	the	DET
cana-1289	162	84	bias	bias	NOUN
cana-1289	162	85	for	for	ADP
cana-1289	162	86	the	the	DET
cana-1289	162	87	hidden	hide	VERB
cana-1289	162	88	layer	layer	NOUN
cana-1289	162	89	.	.	PUNCT
cana-1289	163	1	figure	figure	NOUN
cana-1289	163	2	:	:	PUNCT
cana-1289	163	3	bi	bi	ADJ
cana-1289	163	4	-	-	ADJ
cana-1289	163	5	directional	directional	ADJ
cana-1289	163	6	rnn	rnn	NOUN
cana-1289	163	7	for	for	ADP
cana-1289	163	8	temporal	temporal	ADJ
cana-1289	163	9	dynamics	dynamic	NOUN
cana-1289	163	10	communications	communication	NOUN
cana-1289	163	11	on	on	ADP
cana-1289	163	12	applied	apply	VERB
cana-1289	163	13	nonlinear	nonlinear	ADJ
cana-1289	163	14	analysis	analysis	NOUN
cana-1289	163	15	issn	issn	NOUN
cana-1289	163	16	:	:	PUNCT
cana-1289	163	17	1074	1074	NUM
cana-1289	163	18	-	-	PUNCT
cana-1289	163	19	133x	133x	NUM
cana-1289	163	20	vol	vol	NOUN
cana-1289	163	21	31	31	NUM
cana-1289	163	22	no	no	NOUN
cana-1289	163	23	.	.	PUNCT
cana-1289	164	1	7s	7	NOUN
cana-1289	164	2	(	(	PUNCT
cana-1289	164	3	2024	2024	NUM
cana-1289	164	4	)	)	PUNCT
cana-1289	164	5	125	125	NUM
cana-1289	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	164	7	algorithm	algorithm	NOUN
cana-1289	164	8	:	:	PUNCT
cana-1289	164	9	bi	bi	ADJ
cana-1289	164	10	-	-	ADJ
cana-1289	164	11	directional	directional	ADJ
cana-1289	164	12	rnn	rnn	NOUN
cana-1289	164	13	for	for	ADP
cana-1289	164	14	temporal	temporal	ADJ
cana-1289	164	15	dynamics	dynamic	NOUN
cana-1289	164	16	input	input	NOUN
cana-1289	164	17	:	:	PUNCT
cana-1289	164	18	•	•	NUM
cana-1289	164	19	feature	feature	NOUN
cana-1289	164	20	map	map	NOUN
cana-1289	164	21	f	f	PROPN
cana-1289	164	22	from	from	ADP
cana-1289	164	23	previous	previous	ADJ
cana-1289	164	24	cnn	cnn	PROPN
cana-1289	164	25	layers	layer	NOUN
cana-1289	164	26	•	•	NOUN
cana-1289	164	27	user	user	NOUN
cana-1289	164	28	interaction	interaction	NOUN
cana-1289	164	29	sequences	sequence	NOUN
cana-1289	164	30	u	u	NOUN
cana-1289	164	31	(	(	PUNCT
cana-1289	164	32	e.g.	e.g.	ADV
cana-1289	164	33	,	,	PUNCT
cana-1289	164	34	historical	historical	ADJ
cana-1289	164	35	user	user	NOUN
cana-1289	164	36	activities	activity	NOUN
cana-1289	164	37	)	)	PUNCT
cana-1289	164	38	output	output	NOUN
cana-1289	164	39	:	:	PUNCT
cana-1289	164	40	•	•	NUM
cana-1289	164	41	temporal	temporal	ADJ
cana-1289	164	42	feature	feature	NOUN
cana-1289	164	43	representation	representation	NOUN
cana-1289	164	44	t	t	PROPN
cana-1289	164	45	1	1	NUM
cana-1289	164	46	.	.	PUNCT
cana-1289	164	47	begin	begin	VERB
cana-1289	164	48	2	2	NUM
cana-1289	164	49	.	.	PUNCT
cana-1289	164	50	initialize	initialize	VERB
cana-1289	164	51	an	an	DET
cana-1289	164	52	empty	empty	ADJ
cana-1289	164	53	temporal	temporal	ADJ
cana-1289	164	54	feature	feature	NOUN
cana-1289	164	55	representation	representation	NOUN
cana-1289	164	56	t.	t.	NOUN
cana-1289	164	57	3	3	NUM
cana-1289	164	58	.	.	PUNCT
cana-1289	165	1	bi	bi	ADJ
cana-1289	165	2	-	-	ADJ
cana-1289	165	3	directional	directional	ADJ
cana-1289	165	4	rnn	rnn	NOUN
cana-1289	165	5	processing	processing	NOUN
cana-1289	165	6	:	:	PUNCT
cana-1289	165	7	•	•	NUM
cana-1289	165	8	set	set	VERB
cana-1289	165	9	up	up	ADP
cana-1289	165	10	two	two	NUM
cana-1289	165	11	rnn	rnn	NOUN
cana-1289	165	12	layers	layer	NOUN
cana-1289	165	13	:	:	PUNCT
cana-1289	165	14	one	one	NUM
cana-1289	165	15	for	for	ADP
cana-1289	165	16	processing	process	VERB
cana-1289	165	17	the	the	DET
cana-1289	165	18	sequence	sequence	NOUN
cana-1289	165	19	forward	forward	ADV
cana-1289	165	20	(	(	PUNCT
cana-1289	165	21	forward	forward	ADV
cana-1289	165	22	rnn	rnn	PROPN
cana-1289	165	23	)	)	PUNCT
cana-1289	165	24	and	and	CCONJ
cana-1289	165	25	one	one	NUM
cana-1289	165	26	for	for	ADP
cana-1289	165	27	processing	process	VERB
cana-1289	165	28	backward	backward	ADV
cana-1289	165	29	(	(	PUNCT
cana-1289	165	30	backward	backward	ADJ
cana-1289	165	31	rnn	rnn	PROPN
cana-1289	165	32	)	)	PUNCT
cana-1289	165	33	.	.	PUNCT
cana-1289	166	1	•	•	NUM
cana-1289	166	2	forward	forward	ADV
cana-1289	166	3	rnn	rnn	PROPN
cana-1289	166	4	processing	processing	NOUN
cana-1289	166	5	:	:	PUNCT
cana-1289	166	6	•	•	NUM
cana-1289	166	7	pass	pass	VERB
cana-1289	166	8	the	the	DET
cana-1289	166	9	user	user	NOUN
cana-1289	166	10	interaction	interaction	NOUN
cana-1289	166	11	sequences	sequence	VERB
cana-1289	166	12	u	u	NOUN
cana-1289	166	13	through	through	ADP
cana-1289	166	14	the	the	DET
cana-1289	166	15	forward	forward	ADJ
cana-1289	166	16	rnn	rnn	NOUN
cana-1289	166	17	cell	cell	NOUN
cana-1289	166	18	.	.	PUNCT
cana-1289	167	1	•	•	NUM
cana-1289	167	2	capture	capture	VERB
cana-1289	167	3	and	and	CCONJ
cana-1289	167	4	store	store	VERB
cana-1289	167	5	the	the	DET
cana-1289	167	6	forward	forward	ADJ
cana-1289	167	7	sequence	sequence	NOUN
cana-1289	167	8	features	feature	NOUN
cana-1289	167	9	.	.	PUNCT
cana-1289	168	1	•	•	NUM
cana-1289	168	2	backward	backward	ADJ
cana-1289	168	3	rnn	rnn	NOUN
cana-1289	168	4	processing	processing	NOUN
cana-1289	168	5	:	:	PUNCT
cana-1289	168	6	•	•	NOUN
cana-1289	168	7	reverse	reverse	VERB
cana-1289	168	8	the	the	DET
cana-1289	168	9	user	user	NOUN
cana-1289	168	10	interaction	interaction	NOUN
cana-1289	168	11	sequences	sequence	NOUN
cana-1289	168	12	u.	u.	ADV
cana-1289	168	13	•	•	ADV
cana-1289	168	14	pass	pass	VERB
cana-1289	168	15	the	the	DET
cana-1289	168	16	reversed	reverse	VERB
cana-1289	168	17	sequences	sequence	NOUN
cana-1289	168	18	through	through	ADP
cana-1289	168	19	the	the	DET
cana-1289	168	20	backward	backward	ADJ
cana-1289	168	21	rnn	rnn	NOUN
cana-1289	168	22	cell	cell	NOUN
cana-1289	168	23	.	.	PUNCT
cana-1289	169	1	•	•	NUM
cana-1289	169	2	capture	capture	VERB
cana-1289	169	3	and	and	CCONJ
cana-1289	169	4	store	store	VERB
cana-1289	169	5	the	the	DET
cana-1289	169	6	backward	backward	ADJ
cana-1289	169	7	sequence	sequence	NOUN
cana-1289	169	8	features	feature	VERB
cana-1289	169	9	.	.	PUNCT
cana-1289	170	1	4	4	X
cana-1289	170	2	.	.	X
cana-1289	170	3	combine	combine	VERB
cana-1289	170	4	outputs	output	NOUN
cana-1289	170	5	:	:	PUNCT
cana-1289	170	6	•	•	NOUN
cana-1289	170	7	concatenate	concatenate	VERB
cana-1289	170	8	the	the	DET
cana-1289	170	9	outputs	output	NOUN
cana-1289	170	10	from	from	ADP
cana-1289	170	11	the	the	DET
cana-1289	170	12	forward	forward	ADJ
cana-1289	170	13	and	and	CCONJ
cana-1289	170	14	backward	backward	ADJ
cana-1289	170	15	rnns	rnn	NOUN
cana-1289	170	16	at	at	ADP
cana-1289	170	17	each	each	DET
cana-1289	170	18	time	time	NOUN
cana-1289	170	19	step	step	NOUN
cana-1289	170	20	to	to	PART
cana-1289	170	21	form	form	VERB
cana-1289	170	22	a	a	DET
cana-1289	170	23	unified	unified	ADJ
cana-1289	170	24	feature	feature	NOUN
cana-1289	170	25	representation	representation	NOUN
cana-1289	170	26	at	at	ADP
cana-1289	170	27	each	each	DET
cana-1289	170	28	point	point	NOUN
cana-1289	170	29	in	in	ADP
cana-1289	170	30	the	the	DET
cana-1289	170	31	sequence	sequence	NOUN
cana-1289	170	32	.	.	PUNCT
cana-1289	171	1	•	•	NOUN
cana-1289	171	2	this	this	DET
cana-1289	171	3	approach	approach	NOUN
cana-1289	171	4	captures	capture	VERB
cana-1289	171	5	temporal	temporal	ADJ
cana-1289	171	6	dynamics	dynamic	NOUN
cana-1289	171	7	in	in	ADP
cana-1289	171	8	both	both	DET
cana-1289	171	9	directions	direction	NOUN
cana-1289	171	10	,	,	PUNCT
cana-1289	171	11	improving	improve	VERB
cana-1289	171	12	comprehension	comprehension	NOUN
cana-1289	171	13	of	of	ADP
cana-1289	171	14	context	context	NOUN
cana-1289	171	15	and	and	CCONJ
cana-1289	171	16	sequence	sequence	NOUN
cana-1289	171	17	relationships	relationship	NOUN
cana-1289	171	18	.	.	PUNCT
cana-1289	172	1	5	5	X
cana-1289	172	2	.	.	X
cana-1289	172	3	generate	generate	VERB
cana-1289	172	4	temporal	temporal	ADJ
cana-1289	172	5	feature	feature	NOUN
cana-1289	172	6	representation	representation	NOUN
cana-1289	172	7	:	:	PUNCT
cana-1289	172	8	•	•	NUM
cana-1289	172	9	apply	apply	VERB
cana-1289	172	10	a	a	DET
cana-1289	172	11	transformation	transformation	NOUN
cana-1289	172	12	(	(	PUNCT
cana-1289	172	13	e.g.	e.g.	ADV
cana-1289	172	14	,	,	PUNCT
cana-1289	172	15	a	a	DET
cana-1289	172	16	dense	dense	ADJ
cana-1289	172	17	layer	layer	NOUN
cana-1289	172	18	with	with	ADP
cana-1289	172	19	activation	activation	NOUN
cana-1289	172	20	function	function	NOUN
cana-1289	172	21	)	)	PUNCT
cana-1289	172	22	to	to	ADP
cana-1289	172	23	the	the	DET
cana-1289	172	24	concatenated	concatenate	VERB
cana-1289	172	25	outputs	output	NOUN
cana-1289	172	26	to	to	PART
cana-1289	172	27	produce	produce	VERB
cana-1289	172	28	the	the	DET
cana-1289	172	29	final	final	ADJ
cana-1289	172	30	temporal	temporal	ADJ
cana-1289	172	31	feature	feature	NOUN
cana-1289	172	32	representation	representation	NOUN
cana-1289	172	33	t.	t.	NOUN
cana-1289	172	34	•	•	NOUN
cana-1289	172	35	this	this	DET
cana-1289	172	36	step	step	NOUN
cana-1289	172	37	integrates	integrate	NOUN
cana-1289	172	38	and	and	CCONJ
cana-1289	172	39	refines	refine	VERB
cana-1289	172	40	the	the	DET
cana-1289	172	41	bi	bi	ADJ
cana-1289	172	42	-	-	ADJ
cana-1289	172	43	directional	directional	ADJ
cana-1289	172	44	features	feature	NOUN
cana-1289	172	45	into	into	ADP
cana-1289	172	46	a	a	DET
cana-1289	172	47	more	more	ADV
cana-1289	172	48	cohesive	cohesive	ADJ
cana-1289	172	49	and	and	CCONJ
cana-1289	172	50	representative	representative	ADJ
cana-1289	172	51	form	form	NOUN
cana-1289	172	52	.	.	PUNCT
cana-1289	173	1	6	6	X
cana-1289	173	2	.	.	X
cana-1289	173	3	return	return	VERB
cana-1289	173	4	the	the	DET
cana-1289	173	5	temporal	temporal	ADJ
cana-1289	173	6	feature	feature	NOUN
cana-1289	173	7	representation	representation	NOUN
cana-1289	173	8	t	t	NOUN
cana-1289	173	9	which	which	PRON
cana-1289	173	10	encapsulates	encapsulate	VERB
cana-1289	173	11	the	the	DET
cana-1289	173	12	dynamics	dynamic	NOUN
cana-1289	173	13	and	and	CCONJ
cana-1289	173	14	patterns	pattern	NOUN
cana-1289	173	15	of	of	ADP
cana-1289	173	16	user	user	NOUN
cana-1289	173	17	interactions	interaction	NOUN
cana-1289	173	18	over	over	ADP
cana-1289	173	19	time	time	NOUN
cana-1289	173	20	.	.	PUNCT
cana-1289	174	1	7	7	X
cana-1289	174	2	.	.	X
cana-1289	174	3	end	end	VERB
cana-1289	174	4	this	this	DET
cana-1289	174	5	algorithm	algorithm	NOUN
cana-1289	174	6	outlines	outline	VERB
cana-1289	174	7	the	the	DET
cana-1289	174	8	steps	step	NOUN
cana-1289	174	9	involved	involve	VERB
cana-1289	174	10	in	in	ADP
cana-1289	174	11	processing	processing	NOUN
cana-1289	174	12	and	and	CCONJ
cana-1289	174	13	integrating	integrate	VERB
cana-1289	174	14	temporal	temporal	ADJ
cana-1289	174	15	dynamics	dynamic	NOUN
cana-1289	174	16	using	use	VERB
cana-1289	174	17	a	a	DET
cana-1289	174	18	bi	bi	ADJ
cana-1289	174	19	-	-	ADJ
cana-1289	174	20	directional	directional	ADJ
cana-1289	174	21	rnn	rnn	NOUN
cana-1289	174	22	,	,	PUNCT
cana-1289	174	23	essential	essential	ADJ
cana-1289	174	24	for	for	ADP
cana-1289	174	25	capturing	capture	VERB
cana-1289	174	26	the	the	DET
cana-1289	174	27	sequential	sequential	ADJ
cana-1289	174	28	behavior	behavior	NOUN
cana-1289	174	29	of	of	ADP
cana-1289	174	30	users	user	NOUN
cana-1289	174	31	which	which	PRON
cana-1289	174	32	is	be	AUX
cana-1289	174	33	pivotal	pivotal	ADJ
cana-1289	174	34	in	in	ADP
cana-1289	174	35	enhancing	enhance	VERB
cana-1289	174	36	the	the	DET
cana-1289	174	37	predictive	predictive	ADJ
cana-1289	174	38	power	power	NOUN
cana-1289	174	39	of	of	ADP
cana-1289	174	40	the	the	DET
cana-1289	174	41	recommender	recommender	NOUN
cana-1289	174	42	system	system	NOUN
cana-1289	174	43	.	.	PUNCT
cana-1289	175	1	communications	communication	NOUN
cana-1289	175	2	on	on	ADP
cana-1289	175	3	applied	apply	VERB
cana-1289	175	4	nonlinear	nonlinear	ADJ
cana-1289	175	5	analysis	analysis	NOUN
cana-1289	175	6	issn	issn	NOUN
cana-1289	175	7	:	:	PUNCT
cana-1289	175	8	1074	1074	NUM
cana-1289	175	9	-	-	PUNCT
cana-1289	175	10	133x	133x	NUM
cana-1289	175	11	vol	vol	NOUN
cana-1289	175	12	31	31	NUM
cana-1289	175	13	no	no	NOUN
cana-1289	175	14	.	.	PUNCT
cana-1289	176	1	7s	7	NOUN
cana-1289	176	2	(	(	PUNCT
cana-1289	176	3	2024	2024	NUM
cana-1289	176	4	)	)	PUNCT
cana-1289	176	5	126	126	NUM
cana-1289	176	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1289	176	7	3.2.2	3.2.2	NUM
cana-1289	176	8	enhanced	enhance	VERB
cana-1289	176	9	autoencoder	autoencoder	NOUN
cana-1289	176	10	for	for	ADP
cana-1289	176	11	reconstruction	reconstruction	NOUN
cana-1289	176	12	and	and	CCONJ
cana-1289	176	13	dimensionality	dimensionality	NOUN
cana-1289	176	14	reduction	reduction	NOUN
cana-1289	176	15	:	:	PUNCT
cana-1289	176	16	figure	figure	NOUN
cana-1289	176	17	:	:	PUNCT
cana-1289	176	18	enhanced	enhance	VERB
cana-1289	176	19	autoencoder	autoencoder	NOUN
cana-1289	176	20	for	for	ADP
cana-1289	176	21	reconstruction	reconstruction	NOUN
cana-1289	176	22	and	and	CCONJ
cana-1289	176	23	dimensionality	dimensionality	NOUN
cana-1289	176	24	reduction	reduction	NOUN
cana-1289	176	25	•	•	NOUN
cana-1289	176	26	dimensionality	dimensionality	NOUN
cana-1289	176	27	reduction	reduction	NOUN
cana-1289	176	28	:	:	PUNCT
cana-1289	176	29	provide	provide	VERB
cana-1289	176	30	the	the	DET
cana-1289	176	31	combined	combine	VERB
cana-1289	176	32	attributes	attribute	NOUN
cana-1289	176	33	through	through	ADP
cana-1289	176	34	an	an	DET
cana-1289	176	35	encoder	encoder	NOUN
cana-1289	176	36	made	make	VERB
cana-1289	176	37	up	up	ADP
cana-1289	176	38	of	of	ADP
cana-1289	176	39	fully	fully	ADV
cana-1289	176	40	connected	connected	ADJ
cana-1289	176	41	layers	layer	NOUN
cana-1289	176	42	,	,	PUNCT
cana-1289	176	43	residual	residual	ADJ
cana-1289	176	44	blocks	block	NOUN
cana-1289	176	45	,	,	PUNCT
cana-1289	176	46	and	and	CCONJ
cana-1289	176	47	attention	attention	NOUN
cana-1289	176	48	mechanisms	mechanism	NOUN
cana-1289	176	49	to	to	PART
cana-1289	176	50	condense	condense	VERB
cana-1289	176	51	the	the	DET
cana-1289	176	52	attributes	attribute	NOUN
cana-1289	176	53	into	into	ADP
cana-1289	176	54	a	a	DET
cana-1289	176	55	lower	lower	ADV
cana-1289	176	56	-	-	PUNCT
cana-1289	176	57	dimensional	dimensional	ADJ
cana-1289	176	58	bottleneck	bottleneck	NOUN
cana-1289	176	59	layer	layer	NOUN
cana-1289	177	1	[	[	X
cana-1289	177	2	39	39	NUM
cana-1289	177	3	]	]	PUNCT
cana-1289	177	4	.	.	PUNCT
cana-1289	178	1	•	•	NUM
cana-1289	178	2	feature	feature	NOUN
cana-1289	178	3	reconstruction	reconstruction	NOUN
cana-1289	178	4	:	:	PUNCT
cana-1289	178	5	use	use	VERB
cana-1289	178	6	the	the	DET
cana-1289	178	7	decoder	decoder	NOUN
cana-1289	178	8	to	to	PART
cana-1289	178	9	reconstruct	reconstruct	VERB
cana-1289	178	10	the	the	DET
cana-1289	178	11	compressed	compressed	ADJ
cana-1289	178	12	features	feature	NOUN
cana-1289	178	13	,	,	PUNCT
cana-1289	178	14	while	while	SCONJ
cana-1289	178	15	preserving	preserve	VERB
cana-1289	178	16	important	important	ADJ
cana-1289	178	17	information	information	NOUN
cana-1289	178	18	and	and	CCONJ
cana-1289	178	19	minimizing	minimize	VERB
cana-1289	178	20	distractions	distraction	NOUN
cana-1289	178	21	.	.	PUNCT
cana-1289	179	1	encoder	encoder	NOUN
cana-1289	179	2	equation	equation	NOUN
cana-1289	179	3	:	:	PUNCT
cana-1289	179	4	(	(	PUNCT
cana-1289	179	5	)	)	PUNCT
cana-1289	179	6	e	e	PROPN
cana-1289	179	7	ez	ez	PROPN
cana-1289	179	8	w	w	PROPN
cana-1289	179	9	x	x	SYM
cana-1289	179	10	b=	b=	PROPN
cana-1289	179	11			NUM
cana-1289	179	12	+	+	CCONJ
cana-1289	180	1	where	where	SCONJ
cana-1289	180	2	:	:	PUNCT
cana-1289	180	3	•	•	NOUN
cana-1289	180	4	z	z	NOUN
cana-1289	180	5	is	be	AUX
cana-1289	180	6	the	the	DET
cana-1289	180	7	encoded	encode	VERB
cana-1289	180	8	(	(	PUNCT
cana-1289	180	9	bottleneck	bottleneck	NOUN
cana-1289	180	10	)	)	PUNCT
cana-1289	180	11	representation	representation	NOUN
cana-1289	180	12	,	,	PUNCT
cana-1289	180	13	•	•	NOUN
cana-1289	180	14	x	x	PUNCT
cana-1289	180	15	is	be	AUX
cana-1289	180	16	the	the	DET
cana-1289	180	17	input	input	NOUN
cana-1289	180	18	feature	feature	NOUN
cana-1289	180	19	vector	vector	NOUN
cana-1289	180	20	,	,	PUNCT
cana-1289	180	21	•	•	NUM
cana-1289	180	22	ew	ew	NOUN
cana-1289	180	23	is	be	AUX
cana-1289	180	24	the	the	DET
cana-1289	180	25	weight	weight	NOUN
cana-1289	180	26	matrix	matrix	NOUN
cana-1289	180	27	of	of	ADP
cana-1289	180	28	the	the	DET
cana-1289	180	29	encoder	encoder	NOUN
cana-1289	180	30	,	,	PUNCT
cana-1289	180	31	•	•	NUM
cana-1289	180	32	eb	eb	PROPN
cana-1289	180	33	is	be	AUX
cana-1289	180	34	the	the	DET
cana-1289	180	35	bias	bias	NOUN
cana-1289	180	36	of	of	ADP
cana-1289	180	37	the	the	DET
cana-1289	180	38	encoder	encoder	NOUN
cana-1289	180	39	,	,	PUNCT
cana-1289	180	40	•	•	DET
cana-1289	180	41			PROPN
cana-1289	180	42	is	be	AUX
cana-1289	180	43	the	the	DET
cana-1289	180	44	activation	activation	NOUN
cana-1289	180	45	function	function	NOUN
cana-1289	180	46	.	.	PUNCT
cana-1289	181	1	decoder	decoder	NOUN
cana-1289	181	2	equation	equation	NOUN
cana-1289	181	3	:	:	PUNCT
cana-1289	181	4	(	(	PUNCT
cana-1289	181	5	)	)	PUNCT
cana-1289	181	6	d	d	X
cana-1289	181	7	dx	dx	PROPN
cana-1289	181	8	w	w	PROPN
cana-1289	181	9	z	z	PROPN
cana-1289	181	10	b=	b=	NOUN
cana-1289	182	1			NUM
cana-1289	182	2	+	+	CCONJ
cana-1289	182	3	where	where	SCONJ
cana-1289	182	4	:	:	PUNCT
cana-1289	182	5	communications	communication	NOUN
cana-1289	182	6	on	on	ADP
cana-1289	182	7	applied	apply	VERB
cana-1289	182	8	nonlinear	nonlinear	ADJ
cana-1289	182	9	analysis	analysis	NOUN
cana-1289	182	10	issn	issn	NOUN
cana-1289	182	11	:	:	PUNCT
cana-1289	182	12	1074	1074	NUM
cana-1289	182	13	-	-	PUNCT
cana-1289	182	14	133x	133x	NUM
cana-1289	182	15	vol	vol	NOUN
cana-1289	182	16	31	31	NUM
cana-1289	182	17	no	no	NOUN
cana-1289	182	18	.	.	PUNCT
cana-1289	183	1	7s	7	NOUN
cana-1289	183	2	(	(	PUNCT
cana-1289	183	3	2024	2024	NUM
cana-1289	183	4	)	)	PUNCT
cana-1289	183	5	127	127	NUM
cana-1289	183	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	183	7	•	•	NOUN
cana-1289	183	8	x	x	X
cana-1289	183	9	is	be	AUX
cana-1289	183	10	the	the	DET
cana-1289	183	11	reconstructed	reconstructed	ADJ
cana-1289	183	12	output	output	NOUN
cana-1289	183	13	,	,	PUNCT
cana-1289	183	14	•	•	NUM
cana-1289	183	15	dw	dw	PROPN
cana-1289	183	16	is	be	AUX
cana-1289	183	17	the	the	DET
cana-1289	183	18	weight	weight	NOUN
cana-1289	183	19	matrix	matrix	NOUN
cana-1289	183	20	of	of	ADP
cana-1289	183	21	the	the	DET
cana-1289	183	22	decoder	decoder	NOUN
cana-1289	183	23	,	,	PUNCT
cana-1289	183	24	•	•	NUM
cana-1289	183	25	db	db	PROPN
cana-1289	183	26	is	be	AUX
cana-1289	183	27	the	the	DET
cana-1289	183	28	bias	bias	NOUN
cana-1289	183	29	of	of	ADP
cana-1289	183	30	the	the	DET
cana-1289	183	31	decoder	decoder	NOUN
cana-1289	183	32	.	.	PUNCT
cana-1289	184	1	algorithm	algorithm	NOUN
cana-1289	184	2	:	:	PUNCT
cana-1289	184	3	enhanced	enhance	VERB
cana-1289	184	4	autoencoder	autoencoder	NOUN
cana-1289	184	5	for	for	ADP
cana-1289	184	6	dimensionality	dimensionality	NOUN
cana-1289	184	7	reduction	reduction	NOUN
cana-1289	184	8	and	and	CCONJ
cana-1289	184	9	reconstruction	reconstruction	NOUN
cana-1289	184	10	input	input	NOUN
cana-1289	184	11	:	:	PUNCT
cana-1289	184	12	•	•	NUM
cana-1289	184	13	combined	combine	VERB
cana-1289	184	14	features	feature	NOUN
cana-1289	184	15	c	c	PROPN
cana-1289	184	16	(	(	PUNCT
cana-1289	184	17	from	from	ADP
cana-1289	184	18	cnn	cnn	PROPN
cana-1289	184	19	-	-	PUNCT
cana-1289	184	20	enhanced	enhance	VERB
cana-1289	184	21	feature	feature	NOUN
cana-1289	184	22	extraction	extraction	NOUN
cana-1289	184	23	and	and	CCONJ
cana-1289	184	24	bi	bi	ADJ
cana-1289	184	25	-	-	ADJ
cana-1289	184	26	directional	directional	ADJ
cana-1289	184	27	rnn	rnn	PROPN
cana-1289	184	28	)	)	PUNCT
cana-1289	184	29	output	output	NOUN
cana-1289	184	30	:	:	PUNCT
cana-1289	184	31	•	•	NUM
cana-1289	184	32	refined	refined	ADJ
cana-1289	184	33	,	,	PUNCT
cana-1289	184	34	dimensionality	dimensionality	NOUN
cana-1289	184	35	-	-	PUNCT
cana-1289	184	36	reduced	reduce	VERB
cana-1289	184	37	features	feature	NOUN
cana-1289	184	38	r	r	NOUN
cana-1289	184	39	1	1	NUM
cana-1289	184	40	.	.	PUNCT
cana-1289	184	41	begin	begin	VERB
cana-1289	184	42	2	2	NUM
cana-1289	184	43	.	.	PUNCT
cana-1289	184	44	initialize	initialize	VERB
cana-1289	184	45	an	an	DET
cana-1289	184	46	empty	empty	ADJ
cana-1289	184	47	representation	representation	NOUN
cana-1289	184	48	for	for	ADP
cana-1289	184	49	the	the	DET
cana-1289	184	50	refined	refine	VERB
cana-1289	184	51	features	feature	NOUN
cana-1289	184	52	r.	r.	PROPN
cana-1289	184	53	3	3	NUM
cana-1289	184	54	.	.	PUNCT
cana-1289	185	1	encoder	encoder	NOUN
cana-1289	185	2	:	:	PUNCT
cana-1289	185	3	•	•	NUM
cana-1289	185	4	input	input	NOUN
cana-1289	185	5	layer	layer	NOUN
cana-1289	185	6	:	:	PUNCT
cana-1289	185	7	take	take	VERB
cana-1289	185	8	the	the	DET
cana-1289	185	9	combined	combine	VERB
cana-1289	185	10	features	feature	NOUN
cana-1289	185	11	c	c	PROPN
cana-1289	185	12	as	as	ADP
cana-1289	185	13	input	input	NOUN
cana-1289	185	14	.	.	PUNCT
cana-1289	186	1	•	•	NOUN
cana-1289	186	2	layer	layer	NOUN
cana-1289	186	3	1	1	NUM
cana-1289	186	4	(	(	PUNCT
cana-1289	186	5	encoder	encoder	NOUN
cana-1289	186	6	):	):	PUNCT
cana-1289	186	7	start	start	VERB
cana-1289	186	8	dimensionality	dimensionality	NOUN
cana-1289	186	9	reduction	reduction	NOUN
cana-1289	186	10	by	by	ADP
cana-1289	186	11	passing	pass	VERB
cana-1289	186	12	c	c	PROPN
cana-1289	186	13	through	through	ADP
cana-1289	186	14	a	a	DET
cana-1289	186	15	fully	fully	ADV
cana-1289	186	16	connected	connect	VERB
cana-1289	186	17	layer	layer	NOUN
cana-1289	186	18	with	with	ADP
cana-1289	186	19	non	non	ADJ
cana-1289	186	20	-	-	ADJ
cana-1289	186	21	linear	linear	ADJ
cana-1289	186	22	activation	activation	NOUN
cana-1289	186	23	(	(	PUNCT
cana-1289	186	24	e.g.	e.g.	ADV
cana-1289	186	25	,	,	PUNCT
cana-1289	186	26	relu	relu	NOUN
cana-1289	186	27	)	)	PUNCT
cana-1289	186	28	.	.	PUNCT
cana-1289	187	1	•	•	NOUN
cana-1289	187	2	layer	layer	NOUN
cana-1289	187	3	2	2	NUM
cana-1289	187	4	(	(	PUNCT
cana-1289	187	5	encoder	encoder	NOUN
cana-1289	187	6	):	):	PUNCT
cana-1289	187	7	continue	continue	VERB
cana-1289	187	8	the	the	DET
cana-1289	187	9	dimensionality	dimensionality	NOUN
cana-1289	187	10	reduction	reduction	NOUN
cana-1289	187	11	with	with	ADP
cana-1289	187	12	another	another	DET
cana-1289	187	13	fully	fully	ADV
cana-1289	187	14	connected	connect	VERB
cana-1289	187	15	layer	layer	NOUN
cana-1289	187	16	,	,	PUNCT
cana-1289	187	17	applying	apply	VERB
cana-1289	187	18	non	non	ADJ
cana-1289	187	19	-	-	ADJ
cana-1289	187	20	linear	linear	ADJ
cana-1289	187	21	activation	activation	NOUN
cana-1289	187	22	.	.	PUNCT
cana-1289	188	1	•	•	NUM
cana-1289	188	2	residual	residual	ADJ
cana-1289	188	3	blocks	block	NOUN
cana-1289	188	4	:	:	PUNCT
cana-1289	188	5	incorporate	incorporate	VERB
cana-1289	188	6	one	one	NUM
cana-1289	188	7	or	or	CCONJ
cana-1289	188	8	more	more	ADJ
cana-1289	188	9	residual	residual	ADJ
cana-1289	188	10	blocks	block	NOUN
cana-1289	188	11	within	within	ADP
cana-1289	188	12	the	the	DET
cana-1289	188	13	encoder	encoder	NOUN
cana-1289	188	14	to	to	PART
cana-1289	188	15	help	help	AUX
cana-1289	188	16	preserve	preserve	VERB
cana-1289	188	17	important	important	ADJ
cana-1289	188	18	features	feature	NOUN
cana-1289	188	19	during	during	ADP
cana-1289	188	20	the	the	DET
cana-1289	188	21	encoding	encoding	NOUN
cana-1289	188	22	process	process	NOUN
cana-1289	188	23	and	and	CCONJ
cana-1289	188	24	improve	improve	VERB
cana-1289	188	25	gradient	gradient	ADJ
cana-1289	188	26	flow	flow	NOUN
cana-1289	188	27	during	during	ADP
cana-1289	188	28	training	training	NOUN
cana-1289	188	29	.	.	PUNCT
cana-1289	189	1	•	•	NUM
cana-1289	189	2	attention	attention	NOUN
cana-1289	189	3	mechanism	mechanism	NOUN
cana-1289	189	4	:	:	PUNCT
cana-1289	189	5	add	add	VERB
cana-1289	189	6	an	an	DET
cana-1289	189	7	attention	attention	NOUN
cana-1289	189	8	mechanism	mechanism	NOUN
cana-1289	189	9	to	to	ADP
cana-1289	189	10	the	the	DET
cana-1289	189	11	encoder	encoder	NOUN
cana-1289	189	12	to	to	PART
cana-1289	189	13	focus	focus	VERB
cana-1289	189	14	on	on	ADP
cana-1289	189	15	the	the	DET
cana-1289	189	16	most	most	ADV
cana-1289	189	17	informative	informative	ADJ
cana-1289	189	18	features	feature	NOUN
cana-1289	189	19	,	,	PUNCT
cana-1289	189	20	improving	improve	VERB
cana-1289	189	21	bottleneck	bottleneck	NOUN
cana-1289	189	22	feature	feature	NOUN
cana-1289	189	23	representation	representation	NOUN
cana-1289	189	24	.	.	PUNCT
cana-1289	190	1	4	4	X
cana-1289	190	2	.	.	X
cana-1289	190	3	bottleneck	bottleneck	NOUN
cana-1289	190	4	:	:	PUNCT
cana-1289	190	5	•	•	NOUN
cana-1289	190	6	compression	compression	NOUN
cana-1289	190	7	:	:	PUNCT
cana-1289	190	8	achieve	achieve	VERB
cana-1289	190	9	the	the	DET
cana-1289	190	10	final	final	ADJ
cana-1289	190	11	compression	compression	NOUN
cana-1289	190	12	at	at	ADP
cana-1289	190	13	the	the	DET
cana-1289	190	14	bottleneck	bottleneck	NOUN
cana-1289	190	15	layer	layer	NOUN
cana-1289	190	16	,	,	PUNCT
cana-1289	190	17	which	which	PRON
cana-1289	190	18	represents	represent	VERB
cana-1289	190	19	the	the	DET
cana-1289	190	20	most	most	ADV
cana-1289	190	21	compact	compact	ADJ
cana-1289	190	22	and	and	CCONJ
cana-1289	190	23	essential	essential	ADJ
cana-1289	190	24	features	feature	NOUN
cana-1289	190	25	extracted	extract	VERB
cana-1289	190	26	from	from	ADP
cana-1289	190	27	c.	c.	PROPN
cana-1289	190	28	5	5	NUM
cana-1289	190	29	.	.	PUNCT
cana-1289	191	1	decoder	decoder	NOUN
cana-1289	191	2	:	:	PUNCT
cana-1289	191	3	•	•	NOUN
cana-1289	191	4	layer	layer	NOUN
cana-1289	191	5	1	1	NUM
cana-1289	191	6	(	(	PUNCT
cana-1289	191	7	decoder	decoder	NOUN
cana-1289	191	8	):	):	PUNCT
cana-1289	191	9	start	start	VERB
cana-1289	191	10	recovering	recover	VERB
cana-1289	191	11	the	the	DET
cana-1289	191	12	initial	initial	ADJ
cana-1289	191	13	dimensions	dimension	NOUN
cana-1289	191	14	from	from	ADP
cana-1289	191	15	the	the	DET
cana-1289	191	16	bottleneck	bottleneck	NOUN
cana-1289	191	17	characteristics	characteristic	NOUN
cana-1289	191	18	with	with	ADP
cana-1289	191	19	a	a	DET
cana-1289	191	20	fully	fully	ADV
cana-1289	191	21	linked	link	VERB
cana-1289	191	22	layer	layer	NOUN
cana-1289	191	23	and	and	CCONJ
cana-1289	191	24	non	non	ADJ
cana-1289	191	25	-	-	ADJ
cana-1289	191	26	linear	linear	ADJ
cana-1289	191	27	activation	activation	NOUN
cana-1289	191	28	function	function	NOUN
cana-1289	191	29	.	.	PUNCT
cana-1289	192	1	•	•	NUM
cana-1289	192	2	residual	residual	ADJ
cana-1289	192	3	blocks	block	NOUN
cana-1289	192	4	:	:	PUNCT
cana-1289	192	5	like	like	ADP
cana-1289	192	6	in	in	ADP
cana-1289	192	7	the	the	DET
cana-1289	192	8	encoder	encoder	NOUN
cana-1289	192	9	,	,	PUNCT
cana-1289	192	10	use	use	VERB
cana-1289	192	11	residual	residual	ADJ
cana-1289	192	12	blocks	block	NOUN
cana-1289	192	13	in	in	ADP
cana-1289	192	14	the	the	DET
cana-1289	192	15	decoder	decoder	NOUN
cana-1289	192	16	to	to	PART
cana-1289	192	17	enhance	enhance	VERB
cana-1289	192	18	feature	feature	NOUN
cana-1289	192	19	reconstruction	reconstruction	NOUN
cana-1289	192	20	and	and	CCONJ
cana-1289	192	21	maintain	maintain	VERB
cana-1289	192	22	feature	feature	NOUN
cana-1289	192	23	integrity	integrity	NOUN
cana-1289	192	24	.	.	PUNCT
cana-1289	193	1	•	•	NUM
cana-1289	193	2	attention	attention	NOUN
cana-1289	193	3	mechanism	mechanism	NOUN
cana-1289	193	4	:	:	PUNCT
cana-1289	193	5	apply	apply	VERB
cana-1289	193	6	an	an	DET
cana-1289	193	7	attention	attention	NOUN
cana-1289	193	8	mechanism	mechanism	NOUN
cana-1289	193	9	to	to	PART
cana-1289	193	10	selectively	selectively	ADV
cana-1289	193	11	reconstruct	reconstruct	VERB
cana-1289	193	12	aspects	aspect	NOUN
cana-1289	193	13	of	of	ADP
cana-1289	193	14	the	the	DET
cana-1289	193	15	features	feature	NOUN
cana-1289	193	16	that	that	PRON
cana-1289	193	17	are	be	AUX
cana-1289	193	18	most	most	ADV
cana-1289	193	19	critical	critical	ADJ
cana-1289	193	20	for	for	ADP
cana-1289	193	21	accurate	accurate	ADJ
cana-1289	193	22	recommendations	recommendation	NOUN
cana-1289	193	23	.	.	PUNCT
cana-1289	194	1	•	•	NUM
cana-1289	194	2	output	output	NOUN
cana-1289	194	3	layer	layer	NOUN
cana-1289	194	4	(	(	PUNCT
cana-1289	194	5	decoder	decoder	NOUN
cana-1289	194	6	):	):	PUNCT
cana-1289	194	7	complete	complete	VERB
cana-1289	194	8	the	the	DET
cana-1289	194	9	reconstruction	reconstruction	NOUN
cana-1289	194	10	with	with	ADP
cana-1289	194	11	a	a	DET
cana-1289	194	12	fully	fully	ADV
cana-1289	194	13	connected	connect	VERB
cana-1289	194	14	layer	layer	NOUN
cana-1289	194	15	communications	communication	NOUN
cana-1289	194	16	on	on	ADP
cana-1289	194	17	applied	apply	VERB
cana-1289	194	18	nonlinear	nonlinear	ADJ
cana-1289	194	19	analysis	analysis	NOUN
cana-1289	194	20	issn	issn	NOUN
cana-1289	194	21	:	:	PUNCT
cana-1289	194	22	1074	1074	NUM
cana-1289	194	23	-	-	PUNCT
cana-1289	194	24	133x	133x	NUM
cana-1289	194	25	vol	vol	NOUN
cana-1289	194	26	31	31	NUM
cana-1289	194	27	no	no	NOUN
cana-1289	194	28	.	.	PUNCT
cana-1289	195	1	7s	7	NOUN
cana-1289	195	2	(	(	PUNCT
cana-1289	195	3	2024	2024	NUM
cana-1289	195	4	)	)	PUNCT
cana-1289	195	5	128	128	NUM
cana-1289	195	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	195	7	to	to	PART
cana-1289	195	8	return	return	VERB
cana-1289	195	9	the	the	DET
cana-1289	195	10	feature	feature	NOUN
cana-1289	195	11	dimensions	dimension	NOUN
cana-1289	195	12	to	to	ADP
cana-1289	195	13	their	their	PRON
cana-1289	195	14	original	original	ADJ
cana-1289	195	15	scale	scale	NOUN
cana-1289	195	16	.	.	PUNCT
cana-1289	196	1	6	6	NUM
cana-1289	196	2	.	.	X
cana-1289	196	3	generate	generate	VERB
cana-1289	196	4	refined	refined	ADJ
cana-1289	196	5	features	feature	NOUN
cana-1289	196	6	:	:	PUNCT
cana-1289	196	7	•	•	NUM
cana-1289	196	8	refinement	refinement	NOUN
cana-1289	196	9	:	:	PUNCT
cana-1289	196	10	apply	apply	VERB
cana-1289	196	11	additional	additional	ADJ
cana-1289	196	12	transformations	transformation	NOUN
cana-1289	196	13	if	if	SCONJ
cana-1289	196	14	necessary	necessary	ADJ
cana-1289	196	15	(	(	PUNCT
cana-1289	196	16	e.g.	e.g.	ADJ
cana-1289	196	17	,	,	PUNCT
cana-1289	196	18	activation	activation	NOUN
cana-1289	196	19	functions	function	NOUN
cana-1289	196	20	,	,	PUNCT
cana-1289	196	21	scaling	scaling	NOUN
cana-1289	196	22	)	)	PUNCT
cana-1289	196	23	to	to	PART
cana-1289	196	24	finalize	finalize	VERB
cana-1289	196	25	the	the	DET
cana-1289	196	26	refined	refine	VERB
cana-1289	196	27	,	,	PUNCT
cana-1289	196	28	dimensionality	dimensionality	NOUN
cana-1289	196	29	-	-	PUNCT
cana-1289	196	30	reduced	reduce	VERB
cana-1289	196	31	features	feature	NOUN
cana-1289	196	32	rrr	rrr	NOUN
cana-1289	196	33	.	.	PUNCT
cana-1289	197	1	7	7	X
cana-1289	197	2	.	.	X
cana-1289	197	3	return	return	VERB
cana-1289	197	4	the	the	DET
cana-1289	197	5	refined	refined	ADJ
cana-1289	197	6	features	feature	NOUN
cana-1289	197	7	r	r	NOUN
cana-1289	197	8	,	,	PUNCT
cana-1289	197	9	now	now	ADV
cana-1289	197	10	ready	ready	ADJ
cana-1289	197	11	for	for	ADP
cana-1289	197	12	use	use	NOUN
cana-1289	197	13	in	in	ADP
cana-1289	197	14	making	make	VERB
cana-1289	197	15	final	final	ADJ
cana-1289	197	16	recommendation	recommendation	NOUN
cana-1289	197	17	decisions	decision	NOUN
cana-1289	197	18	.	.	PUNCT
cana-1289	198	1	8	8	X
cana-1289	198	2	.	.	X
cana-1289	198	3	end	end	VERB
cana-1289	198	4	this	this	DET
cana-1289	198	5	algorithm	algorithm	NOUN
cana-1289	198	6	presents	present	VERB
cana-1289	198	7	the	the	DET
cana-1289	198	8	architecture	architecture	NOUN
cana-1289	198	9	and	and	CCONJ
cana-1289	198	10	processing	processing	NOUN
cana-1289	198	11	steps	step	NOUN
cana-1289	198	12	of	of	ADP
cana-1289	198	13	an	an	DET
cana-1289	198	14	enhanced	enhanced	ADJ
cana-1289	198	15	autoencoder	autoencoder	NOUN
cana-1289	198	16	that	that	PRON
cana-1289	198	17	is	be	AUX
cana-1289	198	18	designed	design	VERB
cana-1289	198	19	to	to	PART
cana-1289	198	20	effectively	effectively	ADV
cana-1289	198	21	reduce	reduce	VERB
cana-1289	198	22	the	the	DET
cana-1289	198	23	dimensionality	dimensionality	NOUN
cana-1289	198	24	of	of	ADP
cana-1289	198	25	combined	combined	ADJ
cana-1289	198	26	features	feature	NOUN
cana-1289	198	27	while	while	SCONJ
cana-1289	198	28	reconstructing	reconstruct	VERB
cana-1289	198	29	them	they	PRON
cana-1289	198	30	to	to	PART
cana-1289	198	31	maintain	maintain	VERB
cana-1289	198	32	essential	essential	ADJ
cana-1289	198	33	information	information	NOUN
cana-1289	198	34	.	.	PUNCT
cana-1289	199	1	this	this	DET
cana-1289	199	2	process	process	NOUN
cana-1289	199	3	is	be	AUX
cana-1289	199	4	crucial	crucial	ADJ
cana-1289	199	5	in	in	ADP
cana-1289	199	6	ensuring	ensure	VERB
cana-1289	199	7	that	that	SCONJ
cana-1289	199	8	the	the	DET
cana-1289	199	9	feature	feature	NOUN
cana-1289	199	10	space	space	NOUN
cana-1289	199	11	is	be	AUX
cana-1289	199	12	both	both	PRON
cana-1289	199	13	manageable	manageable	ADJ
cana-1289	199	14	and	and	CCONJ
cana-1289	199	15	sufficiently	sufficiently	ADV
cana-1289	199	16	rich	rich	ADJ
cana-1289	199	17	to	to	PART
cana-1289	199	18	generate	generate	VERB
cana-1289	199	19	accurate	accurate	ADJ
cana-1289	199	20	recommendations	recommendation	NOUN
cana-1289	199	21	.	.	PUNCT
cana-1289	200	1	3.2.2	3.2.2	NUM
cana-1289	200	2	fusion	fusion	NOUN
cana-1289	200	3	of	of	ADP
cana-1289	200	4	features	feature	NOUN
cana-1289	200	5	from	from	ADP
cana-1289	200	6	cnn	cnn	PROPN
cana-1289	200	7	,	,	PUNCT
cana-1289	200	8	rnn	rnn	PROPN
cana-1289	200	9	,	,	PUNCT
cana-1289	200	10	and	and	CCONJ
cana-1289	200	11	autoencoder	autoencoder	NOUN
cana-1289	200	12	to	to	PART
cana-1289	200	13	combine	combine	VERB
cana-1289	200	14	and	and	CCONJ
cana-1289	200	15	utilize	utilize	VERB
cana-1289	200	16	features	feature	NOUN
cana-1289	200	17	from	from	ADP
cana-1289	200	18	cnn	cnn	PROPN
cana-1289	200	19	,	,	PUNCT
cana-1289	200	20	rnn	rnn	PROPN
cana-1289	200	21	,	,	PUNCT
cana-1289	200	22	and	and	CCONJ
cana-1289	200	23	autoencoder	autoencoder	NOUN
cana-1289	200	24	effectively	effectively	ADV
cana-1289	200	25	.	.	PUNCT
cana-1289	201	1	fusion	fusion	NOUN
cana-1289	201	2	equation	equation	NOUN
cana-1289	201	3	:	:	PUNCT
cana-1289	201	4			ADJ
cana-1289	201	5			PROPN
cana-1289	201	6	(	(	PUNCT
cana-1289	201	7	)	)	PUNCT
cana-1289	201	8	;	;	PUNCT
cana-1289	201	9	;	;	PUNCT
cana-1289	201	10	f	f	PROPN
cana-1289	201	11	cnn	cnn	PROPN
cana-1289	201	12	rnn	rnn	VERB
cana-1289	201	13	ae	ae	PROPN
cana-1289	202	1	ff	ff	PROPN
cana-1289	202	2	w	w	PROPN
cana-1289	202	3	f	f	PROPN
cana-1289	202	4	f	f	PROPN
cana-1289	202	5	f	f	PROPN
cana-1289	203	1	b=	b=	PROPN
cana-1289	204	1			NUM
cana-1289	205	1	+	+	CCONJ
cana-1289	205	2	where	where	SCONJ
cana-1289	205	3	:	:	PUNCT
cana-1289	205	4	•	•	NUM
cana-1289	205	5	f	f	NOUN
cana-1289	205	6	is	be	AUX
cana-1289	205	7	the	the	DET
cana-1289	205	8	final	final	ADJ
cana-1289	205	9	fused	fuse	VERB
cana-1289	205	10	feature	feature	NOUN
cana-1289	205	11	vector	vector	NOUN
cana-1289	205	12	,	,	PUNCT
cana-1289	205	13	•	•	NUM
cana-1289	205	14			PROPN
cana-1289	205	15			PROPN
cana-1289	205	16	;	;	PUNCT
cana-1289	205	17	;	;	PUNCT
cana-1289	205	18	cnn	cnn	PROPN
cana-1289	205	19	rnn	rnn	VERB
cana-1289	205	20	aef	aef	PROPN
cana-1289	206	1	f	f	PROPN
cana-1289	206	2	f	f	PROPN
cana-1289	206	3	is	be	AUX
cana-1289	206	4	the	the	DET
cana-1289	206	5	concatenation	concatenation	NOUN
cana-1289	206	6	of	of	ADP
cana-1289	206	7	features	feature	NOUN
cana-1289	206	8	from	from	ADP
cana-1289	206	9	cnn	cnn	PROPN
cana-1289	206	10	,	,	PUNCT
cana-1289	206	11	rnn	rnn	PROPN
cana-1289	206	12	,	,	PUNCT
cana-1289	206	13	and	and	CCONJ
cana-1289	206	14	autoencoder	autoencoder	NOUN
cana-1289	206	15	,	,	PUNCT
cana-1289	206	16	•	•	PRON
cana-1289	206	17	𝑊𝑓	𝑊𝑓	PROPN
cana-1289	206	18	is	be	AUX
cana-1289	206	19	the	the	DET
cana-1289	206	20	fusion	fusion	NOUN
cana-1289	206	21	layer	layer	NOUN
cana-1289	206	22	weight	weight	NOUN
cana-1289	206	23	matrix	matrix	NOUN
cana-1289	206	24	,	,	PUNCT
cana-1289	206	25	•	•	NUM
cana-1289	206	26	fb	fb	INTJ
cana-1289	206	27	is	be	AUX
cana-1289	206	28	the	the	DET
cana-1289	206	29	fusion	fusion	NOUN
cana-1289	206	30	layer	layer	NOUN
cana-1289	206	31	bias	bias	NOUN
cana-1289	206	32	,	,	PUNCT
cana-1289	206	33	•	•	PRON
cana-1289	206	34			PROPN
cana-1289	206	35	is	be	AUX
cana-1289	206	36	the	the	DET
cana-1289	206	37	activation	activation	NOUN
cana-1289	206	38	function	function	NOUN
cana-1289	206	39	.	.	PUNCT
cana-1289	207	1	the	the	DET
cana-1289	207	2	overall	overall	ADJ
cana-1289	207	3	architecture	architecture	NOUN
cana-1289	207	4	discuss	discuss	VERB
cana-1289	207	5	about	about	ADP
cana-1289	207	6	:	:	PUNCT
cana-1289	207	7	the	the	DET
cana-1289	207	8	extraction	extraction	NOUN
cana-1289	207	9	of	of	ADP
cana-1289	207	10	features	feature	NOUN
cana-1289	207	11	from	from	ADP
cana-1289	207	12	product	product	NOUN
cana-1289	207	13	images	image	NOUN
cana-1289	207	14	is	be	AUX
cana-1289	207	15	the	the	DET
cana-1289	207	16	initial	initial	ADJ
cana-1289	207	17	step	step	NOUN
cana-1289	207	18	in	in	ADP
cana-1289	207	19	the	the	DET
cana-1289	207	20	subtree	subtree	NOUN
cana-1289	207	21	of	of	ADP
cana-1289	207	22	cnn	cnn	PROPN
cana-1289	207	23	enhanced	enhance	VERB
cana-1289	207	24	feature	feature	NOUN
cana-1289	207	25	extraction	extraction	NOUN
cana-1289	207	26	.	.	PUNCT
cana-1289	208	1	this	this	DET
cana-1289	208	2	process	process	NOUN
cana-1289	208	3	utilizes	utilize	VERB
cana-1289	208	4	convolutional	convolutional	ADJ
cana-1289	208	5	layers	layer	NOUN
cana-1289	208	6	with	with	ADP
cana-1289	208	7	relu	relu	NOUN
cana-1289	208	8	activations	activation	NOUN
cana-1289	208	9	and	and	CCONJ
cana-1289	208	10	pooling	pool	VERB
cana-1289	208	11	layers	layer	NOUN
cana-1289	208	12	,	,	PUNCT
cana-1289	208	13	along	along	ADP
cana-1289	208	14	with	with	ADP
cana-1289	208	15	attention	attention	NOUN
cana-1289	208	16	mechanisms	mechanism	NOUN
cana-1289	208	17	and	and	CCONJ
cana-1289	208	18	metadata	metadata	ADJ
cana-1289	208	19	integration	integration	NOUN
cana-1289	208	20	.	.	PUNCT
cana-1289	209	1	communications	communication	NOUN
cana-1289	209	2	on	on	ADP
cana-1289	209	3	applied	apply	VERB
cana-1289	209	4	nonlinear	nonlinear	ADJ
cana-1289	209	5	analysis	analysis	NOUN
cana-1289	209	6	issn	issn	NOUN
cana-1289	209	7	:	:	PUNCT
cana-1289	209	8	1074	1074	NUM
cana-1289	209	9	-	-	PUNCT
cana-1289	209	10	133x	133x	NUM
cana-1289	209	11	vol	vol	NOUN
cana-1289	209	12	31	31	NUM
cana-1289	209	13	no	no	NOUN
cana-1289	209	14	.	.	PUNCT
cana-1289	210	1	7s	7	NOUN
cana-1289	210	2	(	(	PUNCT
cana-1289	210	3	2024	2024	NUM
cana-1289	210	4	)	)	PUNCT
cana-1289	210	5	129	129	NUM
cana-1289	210	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	210	7	communications	communication	NOUN
cana-1289	210	8	on	on	ADP
cana-1289	210	9	applied	apply	VERB
cana-1289	210	10	nonlinear	nonlinear	ADJ
cana-1289	210	11	analysis	analysis	NOUN
cana-1289	210	12	issn	issn	NOUN
cana-1289	210	13	:	:	PUNCT
cana-1289	210	14	1074	1074	NUM
cana-1289	210	15	-	-	PUNCT
cana-1289	210	16	133x	133x	NUM
cana-1289	210	17	vol	vol	NOUN
cana-1289	210	18	31	31	NUM
cana-1289	210	19	no	no	NOUN
cana-1289	210	20	.	.	PUNCT
cana-1289	211	1	7s	7	NOUN
cana-1289	211	2	(	(	PUNCT
cana-1289	211	3	2024	2024	NUM
cana-1289	211	4	)	)	PUNCT
cana-1289	211	5	130	130	NUM
cana-1289	211	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	211	7	1	1	NUM
cana-1289	211	8	.	.	PUNCT
cana-1289	212	1	bi	bi	ADJ
cana-1289	212	2	-	-	ADJ
cana-1289	212	3	directional	directional	ADJ
cana-1289	212	4	rnn	rnn	NOUN
cana-1289	212	5	for	for	ADP
cana-1289	212	6	temporal	temporal	ADJ
cana-1289	212	7	dynamics	dynamic	NOUN
cana-1289	212	8	:	:	PUNCT
cana-1289	212	9	the	the	DET
cana-1289	212	10	current	current	ADJ
cana-1289	212	11	submodel	submodel	PROPN
cana-1289	212	12	utilizes	utilize	VERB
cana-1289	212	13	bidirectional	bidirectional	ADJ
cana-1289	212	14	rnn	rnn	NOUN
cana-1289	212	15	cells	cell	NOUN
cana-1289	212	16	to	to	PART
cana-1289	212	17	capture	capture	VERB
cana-1289	212	18	the	the	DET
cana-1289	212	19	temporal	temporal	ADJ
cana-1289	212	20	dynamics	dynamic	NOUN
cana-1289	212	21	of	of	ADP
cana-1289	212	22	user	user	NOUN
cana-1289	212	23	interactions	interaction	NOUN
cana-1289	212	24	,	,	PUNCT
cana-1289	212	25	resulting	result	VERB
cana-1289	212	26	in	in	ADP
cana-1289	212	27	a	a	DET
cana-1289	212	28	full	full	ADJ
cana-1289	212	29	representation	representation	NOUN
cana-1289	212	30	of	of	ADP
cana-1289	212	31	temporal	temporal	ADJ
cana-1289	212	32	properties	property	NOUN
cana-1289	212	33	.	.	PUNCT
cana-1289	213	1	2	2	X
cana-1289	213	2	.	.	NUM
cana-1289	213	3	improved	improve	VERB
cana-1289	213	4	autoencoder	autoencoder	NOUN
cana-1289	213	5	for	for	ADP
cana-1289	213	6	dimensionality	dimensionality	NOUN
cana-1289	213	7	reduction	reduction	NOUN
cana-1289	213	8	and	and	CCONJ
cana-1289	213	9	reconstruction	reconstruction	NOUN
cana-1289	213	10	:	:	PUNCT
cana-1289	213	11	the	the	DET
cana-1289	213	12	encoder	encoder	NOUN
cana-1289	213	13	and	and	CCONJ
cana-1289	213	14	decoder	decoder	NOUN
cana-1289	213	15	use	use	VERB
cana-1289	213	16	attention	attention	NOUN
cana-1289	213	17	and	and	CCONJ
cana-1289	213	18	leftover	leftover	NOUN
cana-1289	213	19	blocks	block	NOUN
cana-1289	213	20	to	to	PART
cana-1289	213	21	improve	improve	VERB
cana-1289	213	22	the	the	DET
cana-1289	213	23	features	feature	NOUN
cana-1289	213	24	,	,	PUNCT
cana-1289	213	25	which	which	PRON
cana-1289	213	26	are	be	AUX
cana-1289	213	27	then	then	ADV
cana-1289	213	28	squished	squish	VERB
cana-1289	213	29	into	into	ADP
cana-1289	213	30	a	a	DET
cana-1289	213	31	bottleneck	bottleneck	NOUN
cana-1289	213	32	layer	layer	NOUN
cana-1289	213	33	and	and	CCONJ
cana-1289	213	34	rebuilt	rebuild	VERB
cana-1289	213	35	.	.	PUNCT
cana-1289	214	1	3.3	3.3	NUM
cana-1289	214	2	training	training	NOUN
cana-1289	214	3	and	and	CCONJ
cana-1289	214	4	optimization	optimization	NOUN
cana-1289	214	5	3.3.1	3.3.1	NUM
cana-1289	214	6	training	training	NOUN
cana-1289	214	7	procedures	procedure	NOUN
cana-1289	214	8	:	:	PUNCT
cana-1289	214	9	•	•	NUM
cana-1289	214	10	dataset	dataset	ADJ
cana-1289	214	11	splitting	splitting	NOUN
cana-1289	214	12	:	:	PUNCT
cana-1289	214	13	dataset	dataset	NOUN
cana-1289	214	14	divided	divide	VERB
cana-1289	214	15	into	into	ADP
cana-1289	214	16	three	three	NUM
cana-1289	214	17	parts	part	NOUN
cana-1289	214	18	:	:	PUNCT
cana-1289	214	19	training	training	NOUN
cana-1289	214	20	(	(	PUNCT
cana-1289	214	21	70	70	NUM
cana-1289	214	22	%	%	NOUN
cana-1289	214	23	of	of	ADP
cana-1289	214	24	the	the	DET
cana-1289	214	25	dataset	dataset	NOUN
cana-1289	214	26	)	)	PUNCT
cana-1289	214	27	,	,	PUNCT
cana-1289	214	28	validation	validation	NOUN
cana-1289	214	29	(	(	PUNCT
cana-1289	214	30	15	15	NUM
cana-1289	214	31	%	%	NOUN
cana-1289	214	32	)	)	PUNCT
cana-1289	214	33	,	,	PUNCT
cana-1289	214	34	and	and	CCONJ
cana-1289	214	35	testing	testing	NOUN
cana-1289	214	36	(	(	PUNCT
cana-1289	214	37	15	15	NUM
cana-1289	214	38	%	%	NOUN
cana-1289	214	39	)	)	PUNCT
cana-1289	214	40	.	.	PUNCT
cana-1289	215	1	when	when	SCONJ
cana-1289	215	2	judging	judge	VERB
cana-1289	215	3	the	the	DET
cana-1289	215	4	model	model	NOUN
cana-1289	215	5	's	's	PART
cana-1289	215	6	success	success	NOUN
cana-1289	215	7	,	,	PUNCT
cana-1289	215	8	this	this	DET
cana-1289	215	9	division	division	NOUN
cana-1289	215	10	is	be	AUX
cana-1289	215	11	very	very	ADV
cana-1289	215	12	important	important	ADJ
cana-1289	215	13	because	because	SCONJ
cana-1289	215	14	it	it	PRON
cana-1289	215	15	lets	let	VERB
cana-1289	215	16	you	you	PRON
cana-1289	215	17	see	see	VERB
cana-1289	215	18	all	all	PRON
cana-1289	215	19	of	of	ADP
cana-1289	215	20	its	its	PRON
cana-1289	215	21	abilities	ability	NOUN
cana-1289	215	22	[	[	X
cana-1289	215	23	41	41	NUM
cana-1289	215	24	]	]	PUNCT
cana-1289	215	25	.	.	PUNCT
cana-1289	216	1	•	•	NUM
cana-1289	216	2	joint	joint	ADJ
cana-1289	216	3	training	training	NOUN
cana-1289	216	4	:	:	PUNCT
cana-1289	216	5	use	use	VERB
cana-1289	216	6	backpropagation	backpropagation	NOUN
cana-1289	216	7	to	to	PART
cana-1289	216	8	train	train	VERB
cana-1289	216	9	the	the	DET
cana-1289	216	10	cnn	cnn	PROPN
cana-1289	216	11	,	,	PUNCT
cana-1289	216	12	rnn	rnn	PROPN
cana-1289	216	13	,	,	PUNCT
cana-1289	216	14	and	and	CCONJ
cana-1289	216	15	autoencoder	autoencoder	NOUN
cana-1289	216	16	parts	part	NOUN
cana-1289	216	17	together	together	ADV
cana-1289	216	18	to	to	PART
cana-1289	216	19	lower	lower	VERB
cana-1289	216	20	the	the	DET
cana-1289	216	21	combined	combine	VERB
cana-1289	216	22	loss	loss	NOUN
cana-1289	216	23	function	function	NOUN
cana-1289	216	24	,	,	PUNCT
cana-1289	216	25	as	as	SCONJ
cana-1289	216	26	explained	explain	VERB
cana-1289	216	27	in	in	ADP
cana-1289	216	28	[	[	X
cana-1289	216	29	42	42	NUM
cana-1289	216	30	]	]	PUNCT
cana-1289	216	31	.	.	PUNCT
cana-1289	217	1	3.3.2	3.3.2	NUM
cana-1289	217	2	loss	loss	NOUN
cana-1289	217	3	functions	function	NOUN
cana-1289	217	4	:	:	PUNCT
cana-1289	217	5	•	•	ADP
cana-1289	217	6	the	the	DET
cana-1289	217	7	mean	mean	ADJ
cana-1289	217	8	squared	square	VERB
cana-1289	217	9	error	error	NOUN
cana-1289	217	10	(	(	PUNCT
cana-1289	217	11	mse	mse	NOUN
cana-1289	217	12	)	)	PUNCT
cana-1289	217	13	metric	metric	ADJ
cana-1289	217	14	measures	measure	NOUN
cana-1289	217	15	reconstruction	reconstruction	NOUN
cana-1289	217	16	loss	loss	NOUN
cana-1289	217	17	by	by	ADP
cana-1289	217	18	comparing	compare	VERB
cana-1289	217	19	original	original	ADJ
cana-1289	217	20	and	and	CCONJ
cana-1289	217	21	rebuilt	rebuild	VERB
cana-1289	217	22	features	feature	NOUN
cana-1289	217	23	in	in	ADP
cana-1289	217	24	autoencoder	autoencoder	NOUN
cana-1289	217	25	reconstruction	reconstruction	NOUN
cana-1289	217	26	tasks	task	NOUN
cana-1289	217	27	[	[	X
cana-1289	217	28	43	43	NUM
cana-1289	217	29	]	]	PUNCT
cana-1289	217	30	.	.	PUNCT
cana-1289	218	1	•	•	NOUN
cana-1289	218	2	classification	classification	NOUN
cana-1289	218	3	loss	loss	NOUN
cana-1289	218	4	:	:	PUNCT
cana-1289	218	5	cross	cross	ADJ
cana-1289	218	6	-	-	ADJ
cana-1289	218	7	entropy	entropy	ADJ
cana-1289	218	8	loss	loss	NOUN
cana-1289	218	9	can	can	AUX
cana-1289	218	10	assess	assess	VERB
cana-1289	218	11	model	model	NOUN
cana-1289	218	12	accuracy	accuracy	NOUN
cana-1289	218	13	for	for	ADP
cana-1289	218	14	genre	genre	NOUN
cana-1289	218	15	prediction	prediction	NOUN
cana-1289	218	16	[	[	X
cana-1289	218	17	44	44	NUM
cana-1289	218	18	]	]	PUNCT
cana-1289	218	19	.	.	PUNCT
cana-1289	219	1	3.3.3	3.3.3	NUM
cana-1289	219	2	optimization	optimization	NOUN
cana-1289	219	3	techniques	technique	NOUN
cana-1289	219	4	:	:	PUNCT
cana-1289	219	5	•	•	NUM
cana-1289	219	6	optimizer	optimizer	NOUN
cana-1289	219	7	:	:	PUNCT
cana-1289	219	8	gradient	gradient	ADJ
cana-1289	219	9	descent	descent	NOUN
cana-1289	219	10	is	be	AUX
cana-1289	219	11	efficient	efficient	ADJ
cana-1289	219	12	using	use	VERB
cana-1289	219	13	the	the	DET
cana-1289	219	14	adam	adam	PROPN
cana-1289	219	15	optimizer	optimizer	NOUN
cana-1289	219	16	with	with	ADP
cana-1289	219	17	0.001	0.001	NUM
cana-1289	219	18	learning	learning	NOUN
cana-1289	219	19	rates	rate	NOUN
cana-1289	219	20	[	[	X
cana-1289	219	21	45	45	NUM
cana-1289	219	22	]	]	PUNCT
cana-1289	219	23	.	.	PUNCT
cana-1289	220	1	•	•	NUM
cana-1289	220	2	regularization	regularization	NOUN
cana-1289	220	3	:	:	PUNCT
cana-1289	220	4	regularization	regularization	NOUN
cana-1289	220	5	methods	method	NOUN
cana-1289	220	6	include	include	VERB
cana-1289	220	7	dropout	dropout	NOUN
cana-1289	220	8	with	with	ADP
cana-1289	220	9	a	a	DET
cana-1289	220	10	rate	rate	NOUN
cana-1289	220	11	of	of	ADP
cana-1289	220	12	0.5	0.5	NUM
cana-1289	220	13	and	and	CCONJ
cana-1289	220	14	l2	l2	NOUN
cana-1289	220	15	regularization	regularization	NOUN
cana-1289	220	16	decrease	decrease	NOUN
cana-1289	220	17	overfitting	overfitte	VERB
cana-1289	220	18	and	and	CCONJ
cana-1289	220	19	enhance	enhance	VERB
cana-1289	220	20	model	model	NOUN
cana-1289	220	21	generalization	generalization	NOUN
cana-1289	220	22	[	[	X
cana-1289	220	23	46	46	NUM
cana-1289	220	24	]	]	PUNCT
cana-1289	220	25	.	.	PUNCT
cana-1289	221	1	•	•	NUM
cana-1289	221	2	implement	implement	VERB
cana-1289	221	3	early	early	ADJ
cana-1289	221	4	ending	end	VERB
cana-1289	221	5	guidelines	guideline	NOUN
cana-1289	221	6	based	base	VERB
cana-1289	221	7	on	on	ADP
cana-1289	221	8	validation	validation	NOUN
cana-1289	221	9	loss	loss	NOUN
cana-1289	221	10	to	to	PART
cana-1289	221	11	prevent	prevent	VERB
cana-1289	221	12	overfitting	overfitting	NOUN
cana-1289	221	13	and	and	CCONJ
cana-1289	221	14	reduce	reduce	VERB
cana-1289	221	15	training	training	NOUN
cana-1289	221	16	time	time	NOUN
cana-1289	221	17	[	[	X
cana-1289	221	18	47	47	NUM
cana-1289	221	19	]	]	PUNCT
cana-1289	221	20	.	.	PUNCT
cana-1289	222	1	our	our	PRON
cana-1289	222	2	methodology	methodology	NOUN
cana-1289	222	3	guarantees	guarantee	VERB
cana-1289	222	4	a	a	DET
cana-1289	222	5	strong	strong	ADJ
cana-1289	222	6	and	and	CCONJ
cana-1289	222	7	quick	quick	ADJ
cana-1289	222	8	training	training	NOUN
cana-1289	222	9	process	process	NOUN
cana-1289	222	10	for	for	ADP
cana-1289	222	11	the	the	DET
cana-1289	222	12	hybrid	hybrid	ADJ
cana-1289	222	13	recommender	recommender	NOUN
cana-1289	222	14	system	system	NOUN
cana-1289	222	15	by	by	ADP
cana-1289	222	16	carefully	carefully	ADV
cana-1289	222	17	adhering	adhere	VERB
cana-1289	222	18	to	to	ADP
cana-1289	222	19	these	these	DET
cana-1289	222	20	specific	specific	ADJ
cana-1289	222	21	phases	phase	NOUN
cana-1289	222	22	.	.	PUNCT
cana-1289	223	1	this	this	PRON
cana-1289	223	2	leads	lead	VERB
cana-1289	223	3	to	to	ADP
cana-1289	223	4	a	a	DET
cana-1289	223	5	highly	highly	ADV
cana-1289	223	6	precise	precise	ADJ
cana-1289	223	7	and	and	CCONJ
cana-1289	223	8	individualized	individualized	ADJ
cana-1289	223	9	system	system	NOUN
cana-1289	223	10	.	.	PUNCT
cana-1289	224	1	4	4	X
cana-1289	224	2	.	.	X
cana-1289	224	3	experiments	experiment	VERB
cana-1289	224	4	4.1	4.1	NUM
cana-1289	224	5	experimental	experimental	ADJ
cana-1289	224	6	setup	setup	NOUN
cana-1289	224	7	4.1.1	4.1.1	NUM
cana-1289	224	8	specifications	specification	NOUN
cana-1289	224	9	for	for	ADP
cana-1289	224	10	hardware	hardware	NOUN
cana-1289	224	11	and	and	CCONJ
cana-1289	224	12	software	software	NOUN
cana-1289	224	13	:	:	PUNCT
cana-1289	224	14	the	the	DET
cana-1289	224	15	model	model	NOUN
cana-1289	224	16	is	be	AUX
cana-1289	224	17	implemented	implement	VERB
cana-1289	224	18	using	use	VERB
cana-1289	224	19	python	python	NOUN
cana-1289	224	20	,	,	PUNCT
cana-1289	224	21	specifically	specifically	ADV
cana-1289	224	22	utilizing	utilize	VERB
cana-1289	224	23	the	the	DET
cana-1289	224	24	tensorflow	tensorflow	NOUN
cana-1289	224	25	2.x	2.x	NUM
cana-1289	224	26	and	and	CCONJ
cana-1289	224	27	pytorch	pytorch	NOUN
cana-1289	224	28	libraries	library	NOUN
cana-1289	224	29	.	.	PUNCT
cana-1289	225	1	these	these	DET
cana-1289	225	2	tools	tool	NOUN
cana-1289	225	3	are	be	AUX
cana-1289	225	4	utilized	utilize	VERB
cana-1289	225	5	to	to	PART
cana-1289	225	6	build	build	VERB
cana-1289	225	7	and	and	CCONJ
cana-1289	225	8	train	train	VERB
cana-1289	225	9	effective	effective	ADJ
cana-1289	225	10	deep	deep	ADJ
cana-1289	225	11	learning	learning	NOUN
cana-1289	225	12	models	model	NOUN
cana-1289	225	13	,	,	PUNCT
cana-1289	225	14	taking	take	VERB
cana-1289	225	15	advantage	advantage	NOUN
cana-1289	225	16	of	of	ADP
cana-1289	225	17	their	their	PRON
cana-1289	225	18	most	most	ADV
cana-1289	225	19	recent	recent	ADJ
cana-1289	225	20	functionalities	functionality	NOUN
cana-1289	226	1	[	[	X
cana-1289	226	2	48][49	48][49	X
cana-1289	226	3	]	]	PUNCT
cana-1289	226	4	.	.	PUNCT
cana-1289	227	1	computational	computational	ADJ
cana-1289	227	2	resources	resource	NOUN
cana-1289	227	3	:	:	PUNCT
cana-1289	227	4	training	training	NOUN
cana-1289	227	5	is	be	AUX
cana-1289	227	6	accelerated	accelerate	VERB
cana-1289	227	7	by	by	ADP
cana-1289	227	8	utilizing	utilize	VERB
cana-1289	227	9	nvidia	nvidia	PROPN
cana-1289	227	10	gpus	gpu	NOUN
cana-1289	227	11	with	with	ADP
cana-1289	227	12	cuda	cuda	NOUN
cana-1289	227	13	support	support	NOUN
cana-1289	227	14	,	,	PUNCT
cana-1289	227	15	which	which	PRON
cana-1289	227	16	enables	enable	VERB
cana-1289	227	17	the	the	DET
cana-1289	227	18	usage	usage	NOUN
cana-1289	227	19	of	of	ADP
cana-1289	227	20	parallel	parallel	ADJ
cana-1289	227	21	processing	processing	NOUN
cana-1289	227	22	capabilities	capability	NOUN
cana-1289	227	23	,	,	PUNCT
cana-1289	227	24	leading	lead	VERB
cana-1289	227	25	to	to	ADP
cana-1289	227	26	a	a	DET
cana-1289	227	27	significant	significant	ADJ
cana-1289	227	28	decrease	decrease	NOUN
cana-1289	227	29	in	in	ADP
cana-1289	227	30	training	training	NOUN
cana-1289	227	31	durations	duration	NOUN
cana-1289	227	32	and	and	CCONJ
cana-1289	227	33	efficient	efficient	ADJ
cana-1289	227	34	handling	handling	NOUN
cana-1289	227	35	of	of	ADP
cana-1289	227	36	large	large	ADJ
cana-1289	227	37	datasets	dataset	NOUN
cana-1289	227	38	[	[	X
cana-1289	227	39	50	50	NUM
cana-1289	227	40	]	]	PUNCT
cana-1289	227	41	.	.	PUNCT
cana-1289	228	1	communications	communication	NOUN
cana-1289	228	2	on	on	ADP
cana-1289	228	3	applied	apply	VERB
cana-1289	228	4	nonlinear	nonlinear	ADJ
cana-1289	228	5	analysis	analysis	NOUN
cana-1289	228	6	issn	issn	NOUN
cana-1289	228	7	:	:	PUNCT
cana-1289	228	8	1074	1074	NUM
cana-1289	228	9	-	-	PUNCT
cana-1289	228	10	133x	133x	NUM
cana-1289	228	11	vol	vol	NOUN
cana-1289	228	12	31	31	NUM
cana-1289	228	13	no	no	NOUN
cana-1289	228	14	.	.	PUNCT
cana-1289	229	1	7s	7	NOUN
cana-1289	229	2	(	(	PUNCT
cana-1289	229	3	2024	2024	NUM
cana-1289	229	4	)	)	PUNCT
cana-1289	229	5	131	131	NUM
cana-1289	229	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1289	229	7	4.1.2	4.1.2	NUM
cana-1289	229	8	implementation	implementation	NOUN
cana-1289	229	9	details	detail	NOUN
cana-1289	229	10	:	:	PUNCT
cana-1289	229	11	the	the	DET
cana-1289	229	12	weights	weight	NOUN
cana-1289	229	13	are	be	AUX
cana-1289	229	14	initialized	initialize	VERB
cana-1289	229	15	using	use	VERB
cana-1289	229	16	the	the	DET
cana-1289	229	17	xavier	xavier	PROPN
cana-1289	229	18	technique	technique	NOUN
cana-1289	229	19	,	,	PUNCT
cana-1289	229	20	which	which	PRON
cana-1289	229	21	helps	help	VERB
cana-1289	229	22	to	to	PART
cana-1289	229	23	keep	keep	VERB
cana-1289	229	24	the	the	DET
cana-1289	229	25	gradients	gradient	NOUN
cana-1289	229	26	of	of	ADP
cana-1289	229	27	the	the	DET
cana-1289	229	28	network	network	NOUN
cana-1289	229	29	within	within	ADP
cana-1289	229	30	a	a	DET
cana-1289	229	31	suitable	suitable	ADJ
cana-1289	229	32	range	range	NOUN
cana-1289	229	33	throughout	throughout	ADP
cana-1289	229	34	training	training	NOUN
cana-1289	229	35	.	.	PUNCT
cana-1289	230	1	this	this	DET
cana-1289	230	2	method	method	NOUN
cana-1289	230	3	mitigates	mitigate	VERB
cana-1289	230	4	the	the	DET
cana-1289	230	5	problem	problem	NOUN
cana-1289	230	6	of	of	ADP
cana-1289	230	7	vanishing	vanish	VERB
cana-1289	230	8	or	or	CCONJ
cana-1289	230	9	bursting	bursting	NOUN
cana-1289	230	10	gradients	gradient	NOUN
cana-1289	230	11	,	,	PUNCT
cana-1289	230	12	which	which	PRON
cana-1289	230	13	is	be	AUX
cana-1289	230	14	commonly	commonly	ADV
cana-1289	230	15	observed	observe	VERB
cana-1289	230	16	in	in	ADP
cana-1289	230	17	deep	deep	ADJ
cana-1289	230	18	neural	neural	ADJ
cana-1289	230	19	networks	network	NOUN
cana-1289	230	20	[	[	X
cana-1289	230	21	51	51	NUM
cana-1289	230	22	]	]	PUNCT
cana-1289	230	23	.	.	PUNCT
cana-1289	231	1	training	training	NOUN
cana-1289	231	2	configuration	configuration	NOUN
cana-1289	231	3	:	:	PUNCT
cana-1289	231	4	batch	batch	NOUN
cana-1289	231	5	sizes	size	NOUN
cana-1289	231	6	are	be	AUX
cana-1289	231	7	commonly	commonly	ADV
cana-1289	231	8	determined	determine	VERB
cana-1289	231	9	based	base	VERB
cana-1289	231	10	on	on	ADP
cana-1289	231	11	the	the	DET
cana-1289	231	12	memory	memory	NOUN
cana-1289	231	13	limitations	limitation	NOUN
cana-1289	231	14	of	of	ADP
cana-1289	231	15	gpus	gpu	NOUN
cana-1289	231	16	,	,	PUNCT
cana-1289	231	17	frequently	frequently	ADV
cana-1289	231	18	falling	fall	VERB
cana-1289	231	19	within	within	ADP
cana-1289	231	20	the	the	DET
cana-1289	231	21	range	range	NOUN
cana-1289	231	22	of	of	ADP
cana-1289	231	23	64	64	NUM
cana-1289	231	24	to	to	PART
cana-1289	231	25	256	256	NUM
cana-1289	231	26	.	.	PUNCT
cana-1289	232	1	this	this	PRON
cana-1289	232	2	is	be	AUX
cana-1289	232	3	done	do	VERB
cana-1289	232	4	to	to	PART
cana-1289	232	5	achieve	achieve	VERB
cana-1289	232	6	a	a	DET
cana-1289	232	7	trade	trade	NOUN
cana-1289	232	8	-	-	PUNCT
cana-1289	232	9	off	off	NOUN
cana-1289	232	10	between	between	ADP
cana-1289	232	11	computational	computational	ADJ
cana-1289	232	12	efficiency	efficiency	NOUN
cana-1289	232	13	and	and	CCONJ
cana-1289	232	14	memory	memory	NOUN
cana-1289	232	15	utilization	utilization	NOUN
cana-1289	232	16	.	.	PUNCT
cana-1289	233	1	analyzing	analyze	VERB
cana-1289	233	2	early	early	ADJ
cana-1289	233	3	run	run	NOUN
cana-1289	233	4	convergence	convergence	NOUN
cana-1289	233	5	determines	determine	VERB
cana-1289	233	6	training	training	NOUN
cana-1289	233	7	epochs	epoch	NOUN
cana-1289	233	8	.	.	PUNCT
cana-1289	234	1	this	this	PRON
cana-1289	234	2	usually	usually	ADV
cana-1289	234	3	takes	take	VERB
cana-1289	234	4	50–100	50–100	PROPN
cana-1289	234	5	epochs	epoch	NOUN
cana-1289	234	6	to	to	PART
cana-1289	234	7	guarantee	guarantee	VERB
cana-1289	234	8	models	model	NOUN
cana-1289	234	9	learn	learn	VERB
cana-1289	234	10	from	from	ADP
cana-1289	234	11	training	train	VERB
cana-1289	234	12	data	datum	NOUN
cana-1289	234	13	without	without	ADP
cana-1289	234	14	overfitting	overfitte	VERB
cana-1289	234	15	[	[	X
cana-1289	234	16	52	52	NUM
cana-1289	234	17	]	]	PUNCT
cana-1289	234	18	.	.	PUNCT
cana-1289	235	1	optimization	optimization	NOUN
cana-1289	235	2	:	:	PUNCT
cana-1289	235	3	the	the	DET
cana-1289	235	4	adam	adam	PROPN
cana-1289	235	5	optimizer	optimizer	NOUN
cana-1289	235	6	with	with	ADP
cana-1289	235	7	a	a	DET
cana-1289	235	8	learning	learn	VERB
cana-1289	235	9	rate	rate	NOUN
cana-1289	235	10	of	of	ADP
cana-1289	235	11	0.001	0.001	NUM
cana-1289	235	12	works	work	NOUN
cana-1289	235	13	well	well	ADV
cana-1289	235	14	in	in	ADP
cana-1289	235	15	many	many	ADJ
cana-1289	235	16	situations	situation	NOUN
cana-1289	235	17	[	[	X
cana-1289	235	18	53	53	NUM
cana-1289	235	19	]	]	PUNCT
cana-1289	235	20	.	.	PUNCT
cana-1289	236	1	4.2	4.2	NUM
cana-1289	236	2	evaluation	evaluation	NOUN
cana-1289	236	3	metrics	metric	NOUN
cana-1289	236	4	•	•	NOUN
cana-1289	236	5	metrics	metric	NOUN
cana-1289	236	6	derived	derive	VERB
cana-1289	236	7	from	from	ADP
cana-1289	236	8	confusion	confusion	NOUN
cana-1289	236	9	matrix	matrix	NOUN
cana-1289	236	10	,	,	PUNCT
cana-1289	236	11	shown	show	VERB
cana-1289	236	12	in	in	ADP
cana-1289	236	13	below	below	ADP
cana-1289	236	14	figure	figure	NOUN
cana-1289	236	15	are	be	AUX
cana-1289	236	16	used	use	VERB
cana-1289	236	17	for	for	ADP
cana-1289	236	18	evaluation	evaluation	NOUN
cana-1289	236	19	our	our	PRON
cana-1289	236	20	methodology	methodology	NOUN
cana-1289	236	21	.	.	PUNCT
cana-1289	237	1	figure	figure	NOUN
cana-1289	237	2	:	:	PUNCT
cana-1289	237	3	confusion	confusion	NOUN
cana-1289	237	4	matrix	matrix	NOUN
cana-1289	237	5	•	•	ADP
cana-1289	237	6	to	to	PART
cana-1289	237	7	assess	assess	VERB
cana-1289	237	8	the	the	DET
cana-1289	237	9	effectiveness	effectiveness	NOUN
cana-1289	237	10	of	of	ADP
cana-1289	237	11	the	the	DET
cana-1289	237	12	recommendation	recommendation	NOUN
cana-1289	237	13	models	model	NOUN
cana-1289	237	14	,	,	PUNCT
cana-1289	237	15	we	we	PRON
cana-1289	237	16	utilize	utilize	VERB
cana-1289	237	17	the	the	DET
cana-1289	237	18	subsequent	subsequent	ADJ
cana-1289	237	19	metrics	metric	NOUN
cana-1289	237	20	:	:	PUNCT
cana-1289	237	21	precision	precision	NOUN
cana-1289	237	22	(	(	PUNCT
cana-1289	237	23	p	p	NOUN
cana-1289	237	24	)	)	PUNCT
cana-1289	237	25	=	=	SYM
cana-1289	237	26	𝑇𝑃	𝑇𝑃	PROPN
cana-1289	237	27	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NOUN
cana-1289	237	28	recall	recall	NOUN
cana-1289	237	29	(	(	PUNCT
cana-1289	237	30	r	r	NOUN
cana-1289	237	31	)	)	PUNCT
cana-1289	237	32	=	=	SYM
cana-1289	237	33	𝑇𝑃	𝑇𝑃	NOUN
cana-1289	237	34	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-1289	237	35	f1	f1	NOUN
cana-1289	237	36	-	-	PUNCT
cana-1289	237	37	score	score	NOUN
cana-1289	237	38	=	=	SYM
cana-1289	237	39	2	2	NUM
cana-1289	237	40	∗	∗	NOUN
cana-1289	237	41	(	(	PUNCT
cana-1289	237	42	𝑝∗	𝑝∗	PROPN
cana-1289	237	43	𝑟	𝑟	NOUN
cana-1289	237	44	)	)	PUNCT
cana-1289	237	45	(	(	PUNCT
cana-1289	237	46	𝑝+𝑟	𝑝+𝑟	NUM
cana-1289	237	47	)	)	PUNCT
cana-1289	237	48	accuracy	accuracy	NOUN
cana-1289	238	1	=	=	SYM
cana-1289	238	2	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
cana-1289	238	3	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	NUM
cana-1289	238	4	•	•	NUM
cana-1289	238	5	precision	precision	NOUN
cana-1289	238	6	refers	refer	VERB
cana-1289	238	7	to	to	ADP
cana-1289	238	8	the	the	DET
cana-1289	238	9	degree	degree	NOUN
cana-1289	238	10	to	to	PART
cana-1289	238	11	which	which	PRON
cana-1289	238	12	the	the	DET
cana-1289	238	13	suggested	suggest	VERB
cana-1289	238	14	items	item	NOUN
cana-1289	238	15	are	be	AUX
cana-1289	238	16	pertinent	pertinent	ADJ
cana-1289	238	17	,	,	PUNCT
cana-1289	238	18	reflecting	reflect	VERB
cana-1289	238	19	the	the	DET
cana-1289	238	20	correctness	correctness	NOUN
cana-1289	238	21	of	of	ADP
cana-1289	238	22	the	the	DET
cana-1289	238	23	favorable	favorable	ADJ
cana-1289	238	24	forecasts	forecast	NOUN
cana-1289	238	25	.	.	PUNCT
cana-1289	239	1	•	•	NUM
cana-1289	239	2	recall	recall	NOUN
cana-1289	239	3	refers	refer	VERB
cana-1289	239	4	to	to	ADP
cana-1289	239	5	the	the	DET
cana-1289	239	6	degree	degree	NOUN
cana-1289	239	7	to	to	PART
cana-1289	239	8	which	which	PRON
cana-1289	239	9	the	the	DET
cana-1289	239	10	model	model	NOUN
cana-1289	239	11	is	be	AUX
cana-1289	239	12	able	able	ADJ
cana-1289	239	13	to	to	PART
cana-1289	239	14	accurately	accurately	ADV
cana-1289	239	15	identify	identify	VERB
cana-1289	239	16	and	and	CCONJ
cana-1289	239	17	recommend	recommend	VERB
cana-1289	239	18	all	all	DET
cana-1289	239	19	relevant	relevant	ADJ
cana-1289	239	20	objects	object	NOUN
cana-1289	239	21	.	.	PUNCT
cana-1289	240	1	•	•	NUM
cana-1289	240	2	f1	f1	NOUN
cana-1289	240	3	-	-	PUNCT
cana-1289	240	4	score	score	NOUN
cana-1289	240	5	:	:	PUNCT
cana-1289	240	6	the	the	DET
cana-1289	240	7	harmonic	harmonic	ADJ
cana-1289	240	8	mean	mean	NOUN
cana-1289	240	9	of	of	ADP
cana-1289	240	10	accuracy	accuracy	NOUN
cana-1289	240	11	and	and	CCONJ
cana-1289	240	12	recall	recall	NOUN
cana-1289	240	13	is	be	AUX
cana-1289	240	14	calculated	calculate	VERB
cana-1289	240	15	by	by	ADP
cana-1289	240	16	the	the	DET
cana-1289	240	17	f1	f1	ADJ
cana-1289	240	18	-	-	PUNCT
cana-1289	240	19	score	score	NOUN
cana-1289	240	20	statistical	statistical	ADJ
cana-1289	240	21	metric	metric	NOUN
cana-1289	240	22	.	.	PUNCT
cana-1289	241	1	this	this	DET
cana-1289	241	2	single	single	ADJ
cana-1289	241	3	metric	metric	ADJ
cana-1289	241	4	accounts	account	NOUN
cana-1289	241	5	both	both	DET
cana-1289	241	6	accuracy	accuracy	NOUN
cana-1289	241	7	and	and	CCONJ
cana-1289	241	8	recall	recall	NOUN
cana-1289	241	9	,	,	PUNCT
cana-1289	241	10	making	make	VERB
cana-1289	241	11	it	it	PRON
cana-1289	241	12	useful	useful	ADJ
cana-1289	241	13	for	for	ADP
cana-1289	241	14	unbalanced	unbalanced	ADJ
cana-1289	241	15	classes	class	NOUN
cana-1289	241	16	[	[	X
cana-1289	241	17	54	54	NUM
cana-1289	241	18	]	]	PUNCT
cana-1289	241	19	.	.	PUNCT
cana-1289	242	1	communications	communication	NOUN
cana-1289	242	2	on	on	ADP
cana-1289	242	3	applied	apply	VERB
cana-1289	242	4	nonlinear	nonlinear	ADJ
cana-1289	242	5	analysis	analysis	NOUN
cana-1289	242	6	issn	issn	NOUN
cana-1289	242	7	:	:	PUNCT
cana-1289	242	8	1074	1074	NUM
cana-1289	242	9	-	-	PUNCT
cana-1289	242	10	133x	133x	NUM
cana-1289	242	11	vol	vol	NOUN
cana-1289	242	12	31	31	NUM
cana-1289	242	13	no	no	NOUN
cana-1289	242	14	.	.	PUNCT
cana-1289	243	1	7s	7	NOUN
cana-1289	243	2	(	(	PUNCT
cana-1289	243	3	2024	2024	NUM
cana-1289	243	4	)	)	PUNCT
cana-1289	243	5	132	132	NUM
cana-1289	243	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	243	7	4.3	4.3	NUM
cana-1289	243	8	comparative	comparative	ADJ
cana-1289	243	9	baseline	baseline	NOUN
cana-1289	243	10	models	model	NOUN
cana-1289	243	11	.	.	PUNCT
cana-1289	244	1	we	we	PRON
cana-1289	244	2	compare	compare	VERB
cana-1289	244	3	our	our	PRON
cana-1289	244	4	hybrid	hybrid	ADJ
cana-1289	244	5	strategy	strategy	NOUN
cana-1289	244	6	to	to	ADP
cana-1289	244	7	traditional	traditional	ADJ
cana-1289	244	8	and	and	CCONJ
cana-1289	244	9	alternative	alternative	ADJ
cana-1289	244	10	deep	deep	ADJ
cana-1289	244	11	learning	learning	NOUN
cana-1289	244	12	-	-	PUNCT
cana-1289	244	13	based	base	VERB
cana-1289	244	14	recommendation	recommendation	NOUN
cana-1289	244	15	methods	method	NOUN
cana-1289	244	16	to	to	PART
cana-1289	244	17	prove	prove	VERB
cana-1289	244	18	its	its	PRON
cana-1289	244	19	efficacy	efficacy	NOUN
cana-1289	244	20	:	:	PUNCT
cana-1289	244	21	4.3.1	4.3.1	NUM
cana-1289	244	22	traditional	traditional	ADJ
cana-1289	244	23	methods	method	NOUN
cana-1289	244	24	:	:	PUNCT
cana-1289	244	25	collaborative	collaborative	ADJ
cana-1289	244	26	filtering	filtering	NOUN
cana-1289	244	27	(	(	PUNCT
cana-1289	244	28	cf	cf	NOUN
cana-1289	244	29	)	)	PUNCT
cana-1289	244	30	predicts	predict	VERB
cana-1289	244	31	products	product	NOUN
cana-1289	244	32	based	base	VERB
cana-1289	244	33	on	on	ADP
cana-1289	244	34	prior	prior	ADJ
cana-1289	244	35	user	user	NOUN
cana-1289	244	36	-	-	PUNCT
cana-1289	244	37	product	product	NOUN
cana-1289	244	38	interactions	interaction	NOUN
cana-1289	244	39	and	and	CCONJ
cana-1289	244	40	comparable	comparable	ADJ
cana-1289	244	41	user	user	NOUN
cana-1289	244	42	preferences	preference	NOUN
cana-1289	244	43	[	[	X
cana-1289	244	44	55	55	NUM
cana-1289	244	45	]	]	PUNCT
cana-1289	244	46	.	.	PUNCT
cana-1289	245	1	based	base	VERB
cana-1289	245	2	on	on	ADP
cana-1289	245	3	product	product	NOUN
cana-1289	245	4	attributes	attribute	NOUN
cana-1289	245	5	,	,	PUNCT
cana-1289	245	6	content	content	NOUN
cana-1289	245	7	-	-	PUNCT
cana-1289	245	8	based	base	VERB
cana-1289	245	9	filtering	filtering	NOUN
cana-1289	245	10	(	(	PUNCT
cana-1289	245	11	cbf	cbf	PROPN
cana-1289	245	12	)	)	PUNCT
cana-1289	245	13	recommends	recommend	VERB
cana-1289	245	14	products	product	NOUN
cana-1289	245	15	that	that	PRON
cana-1289	245	16	are	be	AUX
cana-1289	245	17	comparable	comparable	ADJ
cana-1289	245	18	to	to	ADP
cana-1289	245	19	those	those	PRON
cana-1289	245	20	a	a	DET
cana-1289	245	21	user	user	NOUN
cana-1289	245	22	has	have	AUX
cana-1289	245	23	loved	love	VERB
cana-1289	245	24	[	[	X
cana-1289	245	25	56	56	NUM
cana-1289	245	26	]	]	PUNCT
cana-1289	245	27	.	.	PUNCT
cana-1289	246	1	4.3.2	4.3.2	NUM
cana-1289	246	2	deep	deep	ADJ
cana-1289	246	3	learning	learning	NOUN
cana-1289	246	4	models	model	NOUN
cana-1289	246	5	:	:	PUNCT
cana-1289	246	6	a	a	DET
cana-1289	246	7	standard	standard	ADJ
cana-1289	246	8	convolutional	convolutional	ADJ
cana-1289	246	9	neural	neural	ADJ
cana-1289	246	10	network	network	NOUN
cana-1289	246	11	(	(	PUNCT
cana-1289	246	12	cnn	cnn	PROPN
cana-1289	246	13	)	)	PUNCT
cana-1289	246	14	is	be	AUX
cana-1289	246	15	a	a	DET
cana-1289	246	16	type	type	NOUN
cana-1289	246	17	of	of	ADP
cana-1289	246	18	neural	neural	ADJ
cana-1289	246	19	network	network	NOUN
cana-1289	246	20	that	that	PRON
cana-1289	246	21	uses	use	VERB
cana-1289	246	22	convolutional	convolutional	ADJ
cana-1289	246	23	layers	layer	NOUN
cana-1289	246	24	to	to	PART
cana-1289	246	25	analyze	analyze	VERB
cana-1289	246	26	and	and	CCONJ
cana-1289	246	27	process	process	VERB
cana-1289	246	28	pictures	picture	NOUN
cana-1289	246	29	or	or	CCONJ
cana-1289	246	30	content	content	NOUN
cana-1289	246	31	features	feature	VERB
cana-1289	246	32	[	[	X
cana-1289	246	33	57	57	NUM
cana-1289	246	34	]	]	PUNCT
cana-1289	246	35	.	.	PUNCT
cana-1289	247	1	a	a	DET
cana-1289	247	2	recurrent	recurrent	ADJ
cana-1289	247	3	neural	neural	ADJ
cana-1289	247	4	network	network	NOUN
cana-1289	247	5	(	(	PUNCT
cana-1289	247	6	rnn	rnn	PROPN
cana-1289	247	7	)	)	PUNCT
cana-1289	247	8	is	be	AUX
cana-1289	247	9	a	a	DET
cana-1289	247	10	type	type	NOUN
cana-1289	247	11	of	of	ADP
cana-1289	247	12	model	model	NOUN
cana-1289	247	13	that	that	PRON
cana-1289	247	14	is	be	AUX
cana-1289	247	15	designed	design	VERB
cana-1289	247	16	to	to	PART
cana-1289	247	17	analyze	analyze	VERB
cana-1289	247	18	sequential	sequential	ADJ
cana-1289	247	19	interaction	interaction	NOUN
cana-1289	247	20	data	datum	NOUN
cana-1289	247	21	or	or	CCONJ
cana-1289	247	22	temporal	temporal	ADJ
cana-1289	247	23	dynamics	dynamic	NOUN
cana-1289	247	24	in	in	ADP
cana-1289	247	25	user	user	NOUN
cana-1289	247	26	behavior	behavior	NOUN
cana-1289	247	27	[	[	X
cana-1289	247	28	58	58	NUM
cana-1289	247	29	]	]	PUNCT
cana-1289	247	30	.	.	PUNCT
cana-1289	248	1	an	an	DET
cana-1289	248	2	autoencoder	autoencoder	NOUN
cana-1289	248	3	is	be	AUX
cana-1289	248	4	a	a	DET
cana-1289	248	5	machine	machine	NOUN
cana-1289	248	6	learning	learn	VERB
cana-1289	248	7	model	model	NOUN
cana-1289	248	8	that	that	PRON
cana-1289	248	9	is	be	AUX
cana-1289	248	10	used	use	VERB
cana-1289	248	11	to	to	PART
cana-1289	248	12	create	create	VERB
cana-1289	248	13	a	a	DET
cana-1289	248	14	compact	compact	ADJ
cana-1289	248	15	representation	representation	NOUN
cana-1289	248	16	of	of	ADP
cana-1289	248	17	user	user	NOUN
cana-1289	248	18	preferences	preference	NOUN
cana-1289	248	19	and	and	CCONJ
cana-1289	248	20	item	item	NOUN
cana-1289	248	21	attributes	attribute	NOUN
cana-1289	248	22	.	.	PUNCT
cana-1289	249	1	it	it	PRON
cana-1289	249	2	is	be	AUX
cana-1289	249	3	commonly	commonly	ADV
cana-1289	249	4	employed	employ	VERB
cana-1289	249	5	for	for	ADP
cana-1289	249	6	tasks	task	NOUN
cana-1289	249	7	such	such	ADJ
cana-1289	249	8	as	as	ADP
cana-1289	249	9	reducing	reduce	VERB
cana-1289	249	10	the	the	DET
cana-1289	249	11	dimensionality	dimensionality	NOUN
cana-1289	249	12	of	of	ADP
cana-1289	249	13	data	datum	NOUN
cana-1289	249	14	and	and	CCONJ
cana-1289	249	15	learning	learn	VERB
cana-1289	249	16	useful	useful	ADJ
cana-1289	249	17	features	feature	NOUN
cana-1289	249	18	.	.	PUNCT
cana-1289	250	1	[	[	X
cana-1289	250	2	59	59	NUM
cana-1289	250	3	]	]	PUNCT
cana-1289	250	4	comparative	comparative	ADJ
cana-1289	250	5	performance	performance	NOUN
cana-1289	250	6	table	table	NOUN
cana-1289	250	7	:	:	PUNCT
cana-1289	250	8	model	model	PROPN
cana-1289	250	9	precision	precision	PROPN
cana-1289	250	10	recall	recall	VERB
cana-1289	250	11	f1	f1	NOUN
cana-1289	250	12	-	-	PUNCT
cana-1289	250	13	score	score	NOUN
cana-1289	250	14	collaborative	collaborative	ADJ
cana-1289	250	15	filtering(cf	filtering(cf	NOUN
cana-1289	250	16	)	)	PUNCT
cana-1289	250	17	0.78	0.78	NUM
cana-1289	250	18	0.65	0.65	NUM
cana-1289	250	19	0.71	0.71	NUM
cana-1289	250	20	content	content	NOUN
cana-1289	250	21	-	-	PUNCT
cana-1289	250	22	based	base	VERB
cana-1289	250	23	filtering(cbf	filtering(cbf	NOUN
cana-1289	250	24	)	)	PUNCT
cana-1289	250	25	0.82	0.82	NUM
cana-1289	250	26	0.67	0.67	NUM
cana-1289	250	27	0.74	0.74	NUM
cana-1289	250	28	standard	standard	ADJ
cana-1289	250	29	cnn	cnn	PROPN
cana-1289	250	30	0.85	0.85	NUM
cana-1289	250	31	0.70	0.70	NUM
cana-1289	250	32	0.77	0.77	NUM
cana-1289	250	33	rnn	rnn	VERB
cana-1289	250	34	0.87	0.87	NUM
cana-1289	250	35	0.72	0.72	NUM
cana-1289	250	36	0.79	0.79	NUM
cana-1289	250	37	autoencoder	autoencoder	NOUN
cana-1289	250	38	0.88	0.88	NUM
cana-1289	250	39	0.75	0.75	NUM
cana-1289	250	40	0.81	0.81	NUM
cana-1289	250	41	our	our	PRON
cana-1289	250	42	hybrid	hybrid	ADJ
cana-1289	250	43	model	model	NOUN
cana-1289	250	44	0.93	0.93	NUM
cana-1289	250	45	0.85	0.85	NUM
cana-1289	250	46	0.89	0.89	NUM
cana-1289	250	47	figure	figure	NOUN
cana-1289	250	48	:	:	PUNCT
cana-1289	250	49	a	a	X
cana-1289	250	50	)	)	PUNCT
cana-1289	250	51	performance	performance	NOUN
cana-1289	250	52	comparison	comparison	NOUN
cana-1289	250	53	of	of	ADP
cana-1289	250	54	recommendation	recommendation	NOUN
cana-1289	250	55	models	model	NOUN
cana-1289	250	56	figure	figure	VERB
cana-1289	250	57	:	:	PUNCT
cana-1289	250	58	b	b	X
cana-1289	250	59	)	)	PUNCT
cana-1289	250	60	performance	performance	NOUN
cana-1289	250	61	comparison	comparison	NOUN
cana-1289	250	62	of	of	ADP
cana-1289	250	63	recommendation	recommendation	NOUN
cana-1289	250	64	models	model	NOUN
cana-1289	250	65	communications	communication	NOUN
cana-1289	250	66	on	on	ADP
cana-1289	250	67	applied	apply	VERB
cana-1289	250	68	nonlinear	nonlinear	ADJ
cana-1289	250	69	analysis	analysis	NOUN
cana-1289	250	70	issn	issn	NOUN
cana-1289	250	71	:	:	PUNCT
cana-1289	250	72	1074	1074	NUM
cana-1289	250	73	-	-	PUNCT
cana-1289	250	74	133x	133x	NUM
cana-1289	250	75	vol	vol	NOUN
cana-1289	250	76	31	31	NUM
cana-1289	250	77	no	no	NOUN
cana-1289	250	78	.	.	PUNCT
cana-1289	251	1	7s	7	NOUN
cana-1289	251	2	(	(	PUNCT
cana-1289	251	3	2024	2024	NUM
cana-1289	251	4	)	)	PUNCT
cana-1289	251	5	133	133	NUM
cana-1289	251	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	251	7	figure	figure	NOUN
cana-1289	251	8	:	:	PUNCT
cana-1289	251	9	a	a	X
cana-1289	251	10	)	)	PUNCT
cana-1289	251	11	model	model	NOUN
cana-1289	251	12	accuracy	accuracy	NOUN
cana-1289	251	13	figure	figure	NOUN
cana-1289	251	14	:	:	PUNCT
cana-1289	251	15	b	b	X
cana-1289	251	16	)	)	PUNCT
cana-1289	251	17	model	model	NOUN
cana-1289	251	18	loss	loss	NOUN
cana-1289	251	19	all	all	DET
cana-1289	251	20	assessment	assessment	NOUN
cana-1289	251	21	measures	measure	NOUN
cana-1289	251	22	show	show	VERB
cana-1289	251	23	that	that	SCONJ
cana-1289	251	24	our	our	PRON
cana-1289	251	25	hybrid	hybrid	NOUN
cana-1289	251	26	model	model	NOUN
cana-1289	251	27	beats	beat	VERB
cana-1289	251	28	baseline	baseline	NOUN
cana-1289	251	29	models	model	NOUN
cana-1289	251	30	.	.	PUNCT
cana-1289	252	1	the	the	DET
cana-1289	252	2	seamless	seamless	ADJ
cana-1289	252	3	integration	integration	NOUN
cana-1289	252	4	of	of	ADP
cana-1289	252	5	visual	visual	ADJ
cana-1289	252	6	,	,	PUNCT
cana-1289	252	7	temporal	temporal	ADJ
cana-1289	252	8	,	,	PUNCT
cana-1289	252	9	and	and	CCONJ
cana-1289	252	10	metadata	metadata	ADJ
cana-1289	252	11	aspects	aspect	NOUN
cana-1289	252	12	improves	improve	VERB
cana-1289	252	13	user	user	NOUN
cana-1289	252	14	preference	preference	NOUN
cana-1289	252	15	comprehension	comprehension	NOUN
cana-1289	252	16	and	and	CCONJ
cana-1289	252	17	prediction	prediction	NOUN
cana-1289	252	18	,	,	PUNCT
cana-1289	252	19	resulting	result	VERB
cana-1289	252	20	in	in	ADP
cana-1289	252	21	excellent	excellent	ADJ
cana-1289	252	22	performance	performance	NOUN
cana-1289	252	23	[	[	X
cana-1289	252	24	60	60	NUM
cana-1289	252	25	]	]	PUNCT
cana-1289	252	26	.	.	PUNCT
cana-1289	253	1	5	5	X
cana-1289	253	2	.	.	X
cana-1289	253	3	results	result	NOUN
cana-1289	253	4	and	and	CCONJ
cana-1289	253	5	discussion	discussion	NOUN
cana-1289	253	6	5.1	5.1	NUM
cana-1289	253	7	performance	performance	NOUN
cana-1289	253	8	comparison	comparison	NOUN
cana-1289	253	9	the	the	DET
cana-1289	253	10	proposed	propose	VERB
cana-1289	253	11	hybrid	hybrid	NOUN
cana-1289	253	12	model	model	NOUN
cana-1289	253	13	integrates	integrate	VERB
cana-1289	253	14	the	the	DET
cana-1289	253	15	functionalities	functionality	NOUN
cana-1289	253	16	of	of	ADP
cana-1289	253	17	cnn	cnn	PROPN
cana-1289	253	18	,	,	PUNCT
cana-1289	253	19	rnn	rnn	PROPN
cana-1289	253	20	,	,	PUNCT
cana-1289	253	21	and	and	CCONJ
cana-1289	253	22	autoencoders	autoencoder	NOUN
cana-1289	253	23	to	to	PART
cana-1289	253	24	create	create	VERB
cana-1289	253	25	an	an	DET
cana-1289	253	26	enhanced	enhance	VERB
cana-1289	253	27	recommendation	recommendation	NOUN
cana-1289	253	28	system	system	NOUN
cana-1289	253	29	.	.	PUNCT
cana-1289	254	1	the	the	DET
cana-1289	254	2	hybrid	hybrid	ADJ
cana-1289	254	3	approach	approach	NOUN
cana-1289	254	4	significantly	significantly	ADV
cana-1289	254	5	improves	improve	VERB
cana-1289	254	6	the	the	DET
cana-1289	254	7	accuracy	accuracy	NOUN
cana-1289	254	8	and	and	CCONJ
cana-1289	254	9	relevance	relevance	NOUN
cana-1289	254	10	of	of	ADP
cana-1289	254	11	the	the	DET
cana-1289	254	12	suggestions	suggestion	NOUN
cana-1289	254	13	by	by	ADP
cana-1289	254	14	using	use	VERB
cana-1289	254	15	the	the	DET
cana-1289	254	16	characteristics	characteristic	NOUN
cana-1289	254	17	of	of	ADP
cana-1289	254	18	each	each	DET
cana-1289	254	19	model	model	NOUN
cana-1289	254	20	.	.	PUNCT
cana-1289	255	1	precision	precision	NOUN
cana-1289	255	2	and	and	CCONJ
cana-1289	255	3	pertinence	pertinence	NOUN
cana-1289	255	4	:	:	PUNCT
cana-1289	255	5	the	the	DET
cana-1289	255	6	hybrid	hybrid	NOUN
cana-1289	255	7	model	model	NOUN
cana-1289	255	8	exhibits	exhibit	VERB
cana-1289	255	9	a	a	DET
cana-1289	255	10	significant	significant	ADJ
cana-1289	255	11	enhancement	enhancement	NOUN
cana-1289	255	12	in	in	ADP
cana-1289	255	13	accuracy	accuracy	NOUN
cana-1289	255	14	,	,	PUNCT
cana-1289	255	15	rising	rise	VERB
cana-1289	255	16	from	from	ADP
cana-1289	255	17	0.90	0.90	NUM
cana-1289	255	18	(	(	PUNCT
cana-1289	255	19	the	the	DET
cana-1289	255	20	highest	high	ADJ
cana-1289	255	21	among	among	ADP
cana-1289	255	22	the	the	DET
cana-1289	255	23	other	other	ADJ
cana-1289	255	24	models	model	NOUN
cana-1289	255	25	)	)	PUNCT
cana-1289	255	26	to	to	ADP
cana-1289	255	27	0.94	0.94	NUM
cana-1289	255	28	,	,	PUNCT
cana-1289	255	29	when	when	SCONJ
cana-1289	255	30	compared	compare	VERB
cana-1289	255	31	to	to	ADP
cana-1289	255	32	the	the	DET
cana-1289	255	33	baseline	baseline	NOUN
cana-1289	255	34	models	model	NOUN
cana-1289	255	35	.	.	PUNCT
cana-1289	256	1	furthermore	furthermore	ADV
cana-1289	256	2	,	,	PUNCT
cana-1289	256	3	there	there	PRON
cana-1289	256	4	is	be	VERB
cana-1289	256	5	a	a	DET
cana-1289	256	6	significant	significant	ADJ
cana-1289	256	7	increase	increase	NOUN
cana-1289	256	8	in	in	ADP
cana-1289	256	9	precision	precision	NOUN
cana-1289	256	10	,	,	PUNCT
cana-1289	256	11	recall	recall	NOUN
cana-1289	256	12	,	,	PUNCT
cana-1289	256	13	and	and	CCONJ
cana-1289	256	14	f1	f1	NOUN
cana-1289	256	15	-	-	PUNCT
cana-1289	256	16	score	score	NOUN
cana-1289	256	17	,	,	PUNCT
cana-1289	256	18	suggesting	suggest	VERB
cana-1289	256	19	an	an	DET
cana-1289	256	20	enhancement	enhancement	NOUN
cana-1289	256	21	in	in	ADP
cana-1289	256	22	both	both	CCONJ
cana-1289	256	23	the	the	DET
cana-1289	256	24	ability	ability	NOUN
cana-1289	256	25	to	to	PART
cana-1289	256	26	select	select	VERB
cana-1289	256	27	important	important	ADJ
cana-1289	256	28	items	item	NOUN
cana-1289	256	29	and	and	CCONJ
cana-1289	256	30	the	the	DET
cana-1289	256	31	reduction	reduction	NOUN
cana-1289	256	32	of	of	ADP
cana-1289	256	33	false	false	ADJ
cana-1289	256	34	positives	positive	NOUN
cana-1289	256	35	and	and	CCONJ
cana-1289	256	36	negatives	negative	NOUN
cana-1289	256	37	.	.	PUNCT
cana-1289	257	1	the	the	DET
cana-1289	257	2	hybrid	hybrid	NOUN
cana-1289	257	3	model	model	NOUN
cana-1289	257	4	has	have	VERB
cana-1289	257	5	an	an	DET
cana-1289	257	6	f1	f1	NOUN
cana-1289	257	7	-	-	PUNCT
cana-1289	257	8	score	score	NOUN
cana-1289	257	9	of	of	ADP
cana-1289	257	10	0.92	0.92	NUM
cana-1289	257	11	,	,	PUNCT
cana-1289	257	12	outperforming	outperform	VERB
cana-1289	257	13	the	the	DET
cana-1289	257	14	autoencoder	autoencoder	NOUN
cana-1289	257	15	,	,	PUNCT
cana-1289	257	16	which	which	PRON
cana-1289	257	17	attains	attain	VERB
cana-1289	257	18	an	an	DET
cana-1289	257	19	f1score	f1score	NOUN
cana-1289	257	20	of	of	ADP
cana-1289	257	21	0.88	0.88	NUM
cana-1289	257	22	.	.	PUNCT
cana-1289	258	1	this	this	DET
cana-1289	258	2	outcome	outcome	NOUN
cana-1289	258	3	emphasizes	emphasize	VERB
cana-1289	258	4	the	the	DET
cana-1289	258	5	benefits	benefit	NOUN
cana-1289	258	6	of	of	ADP
cana-1289	258	7	incorporating	incorporate	VERB
cana-1289	258	8	multiple	multiple	ADJ
cana-1289	258	9	neural	neural	ADJ
cana-1289	258	10	networks	network	NOUN
cana-1289	258	11	to	to	PART
cana-1289	258	12	capture	capture	VERB
cana-1289	258	13	both	both	CCONJ
cana-1289	258	14	the	the	DET
cana-1289	258	15	stationary	stationary	ADJ
cana-1289	258	16	and	and	CCONJ
cana-1289	258	17	changing	change	VERB
cana-1289	258	18	elements	element	NOUN
cana-1289	258	19	of	of	ADP
cana-1289	258	20	the	the	DET
cana-1289	258	21	data	datum	NOUN
cana-1289	258	22	.	.	PUNCT
cana-1289	259	1	the	the	DET
cana-1289	259	2	comparison	comparison	NOUN
cana-1289	259	3	study	study	NOUN
cana-1289	259	4	visualizations	visualization	NOUN
cana-1289	259	5	clearly	clearly	ADV
cana-1289	259	6	demonstrate	demonstrate	VERB
cana-1289	259	7	that	that	SCONJ
cana-1289	259	8	the	the	DET
cana-1289	259	9	hybrid	hybrid	ADJ
cana-1289	259	10	model	model	NOUN
cana-1289	259	11	surpasses	surpass	VERB
cana-1289	259	12	conventional	conventional	ADJ
cana-1289	259	13	approaches	approach	NOUN
cana-1289	259	14	,	,	PUNCT
cana-1289	259	15	such	such	ADJ
cana-1289	259	16	as	as	ADP
cana-1289	259	17	cf	cf	NOUN
cana-1289	259	18	and	and	CCONJ
cana-1289	259	19	cbf	cbf	PROPN
cana-1289	259	20	,	,	PUNCT
cana-1289	259	21	as	as	ADV
cana-1289	259	22	well	well	ADV
cana-1289	259	23	as	as	ADP
cana-1289	259	24	standalone	standalone	ADJ
cana-1289	259	25	deep	deep	ADJ
cana-1289	259	26	learning	learning	NOUN
cana-1289	259	27	methods	method	NOUN
cana-1289	259	28	like	like	ADP
cana-1289	259	29	cnn	cnn	PROPN
cana-1289	259	30	,	,	PUNCT
cana-1289	259	31	rnn	rnn	PROPN
cana-1289	259	32	,	,	PUNCT
cana-1289	259	33	and	and	CCONJ
cana-1289	259	34	autoencoder	autoencoder	NOUN
cana-1289	259	35	,	,	PUNCT
cana-1289	259	36	in	in	ADP
cana-1289	259	37	all	all	DET
cana-1289	259	38	relevant	relevant	ADJ
cana-1289	259	39	metrics	metric	NOUN
cana-1289	259	40	.	.	PUNCT
cana-1289	260	1	extracting	extract	VERB
cana-1289	260	2	entire	entire	ADJ
cana-1289	260	3	features	feature	NOUN
cana-1289	260	4	,	,	PUNCT
cana-1289	260	5	effectively	effectively	ADV
cana-1289	260	6	capturing	capture	VERB
cana-1289	260	7	temporal	temporal	ADJ
cana-1289	260	8	dynamics	dynamic	NOUN
cana-1289	260	9	,	,	PUNCT
cana-1289	260	10	and	and	CCONJ
cana-1289	260	11	improving	improve	VERB
cana-1289	260	12	feature	feature	NOUN
cana-1289	260	13	representation	representation	NOUN
cana-1289	260	14	through	through	ADP
cana-1289	260	15	dimensionality	dimensionality	NOUN
cana-1289	260	16	reduction	reduction	NOUN
cana-1289	260	17	make	make	VERB
cana-1289	260	18	the	the	DET
cana-1289	260	19	hybrid	hybrid	ADJ
cana-1289	260	20	model	model	NOUN
cana-1289	260	21	outstanding	outstanding	ADJ
cana-1289	260	22	.	.	PUNCT
cana-1289	261	1	5.2	5.2	NUM
cana-1289	261	2	ablation	ablation	NOUN
cana-1289	261	3	study	study	VERB
cana-1289	261	4	a	a	DET
cana-1289	261	5	thorough	thorough	ADJ
cana-1289	261	6	investigation	investigation	NOUN
cana-1289	261	7	was	be	AUX
cana-1289	261	8	conducted	conduct	VERB
cana-1289	261	9	to	to	PART
cana-1289	261	10	assess	assess	VERB
cana-1289	261	11	the	the	DET
cana-1289	261	12	distinct	distinct	ADJ
cana-1289	261	13	contributions	contribution	NOUN
cana-1289	261	14	of	of	ADP
cana-1289	261	15	each	each	DET
cana-1289	261	16	component	component	NOUN
cana-1289	261	17	of	of	ADP
cana-1289	261	18	the	the	DET
cana-1289	261	19	hybrid	hybrid	ADJ
cana-1289	261	20	model	model	NOUN
cana-1289	261	21	:	:	PUNCT
cana-1289	261	22	communications	communication	NOUN
cana-1289	261	23	on	on	ADP
cana-1289	261	24	applied	apply	VERB
cana-1289	261	25	nonlinear	nonlinear	ADJ
cana-1289	261	26	analysis	analysis	NOUN
cana-1289	261	27	issn	issn	NOUN
cana-1289	261	28	:	:	PUNCT
cana-1289	261	29	1074	1074	NUM
cana-1289	261	30	-	-	PUNCT
cana-1289	261	31	133x	133x	NUM
cana-1289	261	32	vol	vol	NOUN
cana-1289	261	33	31	31	NUM
cana-1289	261	34	no	no	NOUN
cana-1289	261	35	.	.	PUNCT
cana-1289	262	1	7s	7	NOUN
cana-1289	262	2	(	(	PUNCT
cana-1289	262	3	2024	2024	NUM
cana-1289	262	4	)	)	PUNCT
cana-1289	262	5	134	134	NUM
cana-1289	262	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	262	7	the	the	DET
cana-1289	262	8	removal	removal	NOUN
cana-1289	262	9	of	of	ADP
cana-1289	262	10	the	the	DET
cana-1289	262	11	cnn	cnn	PROPN
cana-1289	262	12	component	component	NOUN
cana-1289	262	13	resulted	result	VERB
cana-1289	262	14	in	in	ADP
cana-1289	262	15	a	a	DET
cana-1289	262	16	loss	loss	NOUN
cana-1289	262	17	in	in	ADP
cana-1289	262	18	the	the	DET
cana-1289	262	19	model	model	NOUN
cana-1289	262	20	's	's	PART
cana-1289	262	21	capacity	capacity	NOUN
cana-1289	262	22	to	to	PART
cana-1289	262	23	identify	identify	VERB
cana-1289	262	24	visual	visual	ADJ
cana-1289	262	25	patterns	pattern	NOUN
cana-1289	262	26	and	and	CCONJ
cana-1289	262	27	intricate	intricate	ADJ
cana-1289	262	28	details	detail	NOUN
cana-1289	262	29	in	in	ADP
cana-1289	262	30	item	item	NOUN
cana-1289	262	31	photos	photo	NOUN
cana-1289	262	32	,	,	PUNCT
cana-1289	262	33	resulting	result	VERB
cana-1289	262	34	in	in	ADP
cana-1289	262	35	a	a	DET
cana-1289	262	36	5	5	NUM
cana-1289	262	37	%	%	NOUN
cana-1289	262	38	fall	fall	NOUN
cana-1289	262	39	in	in	ADP
cana-1289	262	40	accuracy	accuracy	NOUN
cana-1289	262	41	.	.	PUNCT
cana-1289	263	1	the	the	DET
cana-1289	263	2	absence	absence	NOUN
cana-1289	263	3	of	of	ADP
cana-1289	263	4	temporal	temporal	ADJ
cana-1289	263	5	dynamics	dynamic	NOUN
cana-1289	263	6	modeling	modeling	NOUN
cana-1289	263	7	provided	provide	VERB
cana-1289	263	8	by	by	ADP
cana-1289	263	9	the	the	DET
cana-1289	263	10	rnn	rnn	NOUN
cana-1289	263	11	component	component	NOUN
cana-1289	263	12	led	lead	VERB
cana-1289	263	13	to	to	ADP
cana-1289	263	14	the	the	DET
cana-1289	263	15	model	model	NOUN
cana-1289	263	16	's	's	PART
cana-1289	263	17	inability	inability	NOUN
cana-1289	263	18	to	to	PART
cana-1289	263	19	accurately	accurately	ADV
cana-1289	263	20	represent	represent	VERB
cana-1289	263	21	the	the	DET
cana-1289	263	22	sequential	sequential	ADJ
cana-1289	263	23	nature	nature	NOUN
cana-1289	263	24	of	of	ADP
cana-1289	263	25	user	user	NOUN
cana-1289	263	26	interactions	interaction	NOUN
cana-1289	263	27	,	,	PUNCT
cana-1289	263	28	resulting	result	VERB
cana-1289	263	29	in	in	ADP
cana-1289	263	30	a	a	DET
cana-1289	263	31	loss	loss	NOUN
cana-1289	263	32	in	in	ADP
cana-1289	263	33	recall	recall	NOUN
cana-1289	263	34	by	by	ADP
cana-1289	263	35	6	6	NUM
cana-1289	263	36	%	%	NOUN
cana-1289	263	37	.	.	PUNCT
cana-1289	264	1	removing	remove	VERB
cana-1289	264	2	the	the	DET
cana-1289	264	3	autoencoder	autoencoder	NOUN
cana-1289	264	4	,	,	PUNCT
cana-1289	264	5	a	a	DET
cana-1289	264	6	crucial	crucial	ADJ
cana-1289	264	7	component	component	NOUN
cana-1289	264	8	for	for	ADP
cana-1289	264	9	reducing	reduce	VERB
cana-1289	264	10	dimensionality	dimensionality	NOUN
cana-1289	264	11	and	and	CCONJ
cana-1289	264	12	noise	noise	NOUN
cana-1289	264	13	,	,	PUNCT
cana-1289	264	14	led	lead	VERB
cana-1289	264	15	to	to	ADP
cana-1289	264	16	a	a	DET
cana-1289	264	17	less	less	ADV
cana-1289	264	18	accurate	accurate	ADJ
cana-1289	264	19	feature	feature	NOUN
cana-1289	264	20	set	set	NOUN
cana-1289	264	21	,	,	PUNCT
cana-1289	264	22	resulting	result	VERB
cana-1289	264	23	in	in	ADP
cana-1289	264	24	a	a	DET
cana-1289	264	25	4	4	NUM
cana-1289	264	26	%	%	NOUN
cana-1289	264	27	decrease	decrease	NOUN
cana-1289	264	28	in	in	ADP
cana-1289	264	29	precision	precision	NOUN
cana-1289	264	30	.	.	PUNCT
cana-1289	265	1	these	these	DET
cana-1289	265	2	findings	finding	NOUN
cana-1289	265	3	validate	validate	VERB
cana-1289	265	4	that	that	SCONJ
cana-1289	265	5	each	each	DET
cana-1289	265	6	component	component	NOUN
cana-1289	265	7	contributes	contribute	VERB
cana-1289	265	8	autonomously	autonomously	ADV
cana-1289	265	9	to	to	ADP
cana-1289	265	10	the	the	DET
cana-1289	265	11	overall	overall	ADJ
cana-1289	265	12	efficiency	efficiency	NOUN
cana-1289	265	13	of	of	ADP
cana-1289	265	14	the	the	DET
cana-1289	265	15	system	system	NOUN
cana-1289	265	16	,	,	PUNCT
cana-1289	265	17	but	but	CCONJ
cana-1289	265	18	their	their	PRON
cana-1289	265	19	integration	integration	NOUN
cana-1289	265	20	yields	yield	VERB
cana-1289	265	21	the	the	DET
cana-1289	265	22	most	most	ADV
cana-1289	265	23	optimal	optimal	ADJ
cana-1289	265	24	results	result	NOUN
cana-1289	265	25	,	,	PUNCT
cana-1289	265	26	enhancing	enhance	VERB
cana-1289	265	27	both	both	DET
cana-1289	265	28	precision	precision	NOUN
cana-1289	265	29	and	and	CCONJ
cana-1289	265	30	pertinence	pertinence	NOUN
cana-1289	265	31	.	.	PUNCT
cana-1289	266	1	5.3	5.3	NUM
cana-1289	266	2	practical	practical	ADJ
cana-1289	266	3	implications	implication	NOUN
cana-1289	266	4	the	the	DET
cana-1289	266	5	proposed	propose	VERB
cana-1289	266	6	hybrid	hybrid	NOUN
cana-1289	266	7	recommender	recommender	NOUN
cana-1289	266	8	system	system	NOUN
cana-1289	266	9	has	have	VERB
cana-1289	266	10	significant	significant	ADJ
cana-1289	266	11	practical	practical	ADJ
cana-1289	266	12	implications	implication	NOUN
cana-1289	266	13	,	,	PUNCT
cana-1289	266	14	especially	especially	ADV
cana-1289	266	15	in	in	ADP
cana-1289	266	16	realworld	realworld	PROPN
cana-1289	266	17	applications	application	NOUN
cana-1289	266	18	that	that	PRON
cana-1289	266	19	prioritize	prioritize	VERB
cana-1289	266	20	personalization	personalization	NOUN
cana-1289	266	21	and	and	CCONJ
cana-1289	266	22	user	user	NOUN
cana-1289	266	23	engagement	engagement	NOUN
cana-1289	266	24	.	.	PUNCT
cana-1289	267	1	one	one	NUM
cana-1289	267	2	of	of	ADP
cana-1289	267	3	the	the	DET
cana-1289	267	4	main	main	ADJ
cana-1289	267	5	benefits	benefit	NOUN
cana-1289	267	6	is	be	AUX
cana-1289	267	7	the	the	DET
cana-1289	267	8	system	system	NOUN
cana-1289	267	9	's	's	PART
cana-1289	267	10	capacity	capacity	NOUN
cana-1289	267	11	to	to	PART
cana-1289	267	12	accurately	accurately	ADV
cana-1289	267	13	predict	predict	VERB
cana-1289	267	14	user	user	NOUN
cana-1289	267	15	preferences	preference	NOUN
cana-1289	267	16	and	and	CCONJ
cana-1289	267	17	minimize	minimize	VERB
cana-1289	267	18	recommendation	recommendation	NOUN
cana-1289	267	19	errors	error	NOUN
cana-1289	267	20	,	,	PUNCT
cana-1289	267	21	resulting	result	VERB
cana-1289	267	22	in	in	ADP
cana-1289	267	23	a	a	DET
cana-1289	267	24	substantial	substantial	ADJ
cana-1289	267	25	increase	increase	NOUN
cana-1289	267	26	in	in	ADP
cana-1289	267	27	user	user	NOUN
cana-1289	267	28	satisfaction	satisfaction	NOUN
cana-1289	267	29	.	.	PUNCT
cana-1289	268	1	this	this	PRON
cana-1289	268	2	is	be	AUX
cana-1289	268	3	particularly	particularly	ADV
cana-1289	268	4	relevant	relevant	ADJ
cana-1289	268	5	in	in	ADP
cana-1289	268	6	platforms	platform	NOUN
cana-1289	268	7	like	like	ADP
cana-1289	268	8	ecommerce	ecommerce	NOUN
cana-1289	268	9	and	and	CCONJ
cana-1289	268	10	media	medium	NOUN
cana-1289	268	11	streaming	streaming	NOUN
cana-1289	268	12	,	,	PUNCT
cana-1289	268	13	where	where	SCONJ
cana-1289	268	14	user	user	NOUN
cana-1289	268	15	retention	retention	NOUN
cana-1289	268	16	and	and	CCONJ
cana-1289	268	17	engagement	engagement	NOUN
cana-1289	268	18	directly	directly	ADV
cana-1289	268	19	affect	affect	VERB
cana-1289	268	20	revenue	revenue	NOUN
cana-1289	268	21	.	.	PUNCT
cana-1289	269	1	the	the	DET
cana-1289	269	2	integrated	integrate	VERB
cana-1289	269	3	data	data	NOUN
cana-1289	269	4	analysis	analysis	NOUN
cana-1289	269	5	of	of	ADP
cana-1289	269	6	the	the	DET
cana-1289	269	7	hybrid	hybrid	ADJ
cana-1289	269	8	model	model	NOUN
cana-1289	269	9	allows	allow	VERB
cana-1289	269	10	for	for	ADP
cana-1289	269	11	the	the	DET
cana-1289	269	12	incorporation	incorporation	NOUN
cana-1289	269	13	of	of	ADP
cana-1289	269	14	many	many	ADJ
cana-1289	269	15	data	datum	NOUN
cana-1289	269	16	sources	source	NOUN
cana-1289	269	17	,	,	PUNCT
cana-1289	269	18	such	such	ADJ
cana-1289	269	19	as	as	ADP
cana-1289	269	20	visual	visual	ADJ
cana-1289	269	21	material	material	NOUN
cana-1289	269	22	,	,	PUNCT
cana-1289	269	23	user	user	NOUN
cana-1289	269	24	behavior	behavior	NOUN
cana-1289	269	25	,	,	PUNCT
cana-1289	269	26	and	and	CCONJ
cana-1289	269	27	metadata	metadata	NOUN
cana-1289	269	28	.	.	PUNCT
cana-1289	270	1	this	this	DET
cana-1289	270	2	capability	capability	NOUN
cana-1289	270	3	enables	enable	VERB
cana-1289	270	4	the	the	DET
cana-1289	270	5	model	model	NOUN
cana-1289	270	6	to	to	PART
cana-1289	270	7	generate	generate	VERB
cana-1289	270	8	suggestions	suggestion	NOUN
cana-1289	270	9	that	that	PRON
cana-1289	270	10	are	be	AUX
cana-1289	270	11	more	more	ADV
cana-1289	270	12	extensive	extensive	ADJ
cana-1289	270	13	and	and	CCONJ
cana-1289	270	14	improved	improve	VERB
cana-1289	270	15	.	.	PUNCT
cana-1289	271	1	this	this	DET
cana-1289	271	2	versatility	versatility	NOUN
cana-1289	271	3	can	can	AUX
cana-1289	271	4	accommodate	accommodate	VERB
cana-1289	271	5	a	a	DET
cana-1289	271	6	broader	broad	ADJ
cana-1289	271	7	range	range	NOUN
cana-1289	271	8	of	of	ADP
cana-1289	271	9	tastes	taste	NOUN
cana-1289	271	10	and	and	CCONJ
cana-1289	271	11	preferences	preference	NOUN
cana-1289	271	12	,	,	PUNCT
cana-1289	271	13	therefore	therefore	ADV
cana-1289	271	14	increasing	increase	VERB
cana-1289	271	15	its	its	PRON
cana-1289	271	16	user	user	NOUN
cana-1289	271	17	base	base	NOUN
cana-1289	271	18	.	.	PUNCT
cana-1289	272	1	the	the	DET
cana-1289	272	2	hybrid	hybrid	ADJ
cana-1289	272	3	model	model	NOUN
cana-1289	272	4	's	's	PART
cana-1289	272	5	modular	modular	ADJ
cana-1289	272	6	architecture	architecture	NOUN
cana-1289	272	7	enables	enable	VERB
cana-1289	272	8	scalability	scalability	NOUN
cana-1289	272	9	and	and	CCONJ
cana-1289	272	10	customization	customization	NOUN
cana-1289	272	11	to	to	PART
cana-1289	272	12	accommodate	accommodate	VERB
cana-1289	272	13	different	different	ADJ
cana-1289	272	14	sectors	sector	NOUN
cana-1289	272	15	and	and	CCONJ
cana-1289	272	16	data	datum	NOUN
cana-1289	272	17	scales	scale	NOUN
cana-1289	272	18	.	.	PUNCT
cana-1289	273	1	it	it	PRON
cana-1289	273	2	can	can	AUX
cana-1289	273	3	be	be	AUX
cana-1289	273	4	customized	customize	VERB
cana-1289	273	5	to	to	PART
cana-1289	273	6	suit	suit	VERB
cana-1289	273	7	certain	certain	ADJ
cana-1289	273	8	settings	setting	NOUN
cana-1289	273	9	such	such	ADJ
cana-1289	273	10	as	as	ADP
cana-1289	273	11	books	book	NOUN
cana-1289	273	12	,	,	PUNCT
cana-1289	273	13	music	music	NOUN
cana-1289	273	14	,	,	PUNCT
cana-1289	273	15	fashion	fashion	NOUN
cana-1289	273	16	,	,	PUNCT
cana-1289	273	17	and	and	CCONJ
cana-1289	273	18	other	other	ADJ
cana-1289	273	19	industries	industry	NOUN
cana-1289	273	20	,	,	PUNCT
cana-1289	273	21	offering	offer	VERB
cana-1289	273	22	flexible	flexible	ADJ
cana-1289	273	23	solutions	solution	NOUN
cana-1289	273	24	to	to	PART
cana-1289	273	25	meet	meet	VERB
cana-1289	273	26	various	various	ADJ
cana-1289	273	27	industry	industry	NOUN
cana-1289	273	28	needs	need	NOUN
cana-1289	273	29	.	.	PUNCT
cana-1289	274	1	6	6	X
cana-1289	274	2	.	.	X
cana-1289	274	3	conclusion	conclusion	NOUN
cana-1289	274	4	the	the	DET
cana-1289	274	5	suggested	suggest	VERB
cana-1289	274	6	hybrid	hybrid	NOUN
cana-1289	274	7	recommender	recommender	NOUN
cana-1289	274	8	system	system	NOUN
cana-1289	274	9	represents	represent	VERB
cana-1289	274	10	a	a	DET
cana-1289	274	11	significant	significant	ADJ
cana-1289	274	12	breakthrough	breakthrough	NOUN
cana-1289	274	13	in	in	ADP
cana-1289	274	14	the	the	DET
cana-1289	274	15	field	field	NOUN
cana-1289	274	16	of	of	ADP
cana-1289	274	17	personalized	personalized	ADJ
cana-1289	274	18	suggestions	suggestion	NOUN
cana-1289	274	19	,	,	PUNCT
cana-1289	274	20	setting	set	VERB
cana-1289	274	21	a	a	DET
cana-1289	274	22	new	new	ADJ
cana-1289	274	23	benchmark	benchmark	NOUN
cana-1289	274	24	for	for	ADP
cana-1289	274	25	accuracy	accuracy	NOUN
cana-1289	274	26	,	,	PUNCT
cana-1289	274	27	flexibility	flexibility	NOUN
cana-1289	274	28	,	,	PUNCT
cana-1289	274	29	and	and	CCONJ
cana-1289	274	30	user	user	NOUN
cana-1289	274	31	-	-	PUNCT
cana-1289	274	32	focused	focus	VERB
cana-1289	274	33	insights	insight	NOUN
cana-1289	274	34	.	.	PUNCT
cana-1289	275	1	this	this	DET
cana-1289	275	2	system	system	NOUN
cana-1289	275	3	combines	combine	VERB
cana-1289	275	4	the	the	DET
cana-1289	275	5	analytical	analytical	ADJ
cana-1289	275	6	abilities	ability	NOUN
cana-1289	275	7	of	of	ADP
cana-1289	275	8	cnn	cnn	PROPN
cana-1289	275	9	,	,	PUNCT
cana-1289	275	10	the	the	DET
cana-1289	275	11	temporal	temporal	ADJ
cana-1289	275	12	comprehension	comprehension	NOUN
cana-1289	275	13	of	of	ADP
cana-1289	275	14	rnn	rnn	NOUN
cana-1289	275	15	,	,	PUNCT
cana-1289	275	16	and	and	CCONJ
cana-1289	275	17	the	the	DET
cana-1289	275	18	complex	complex	ADJ
cana-1289	275	19	dimensionality	dimensionality	NOUN
cana-1289	275	20	reduction	reduction	NOUN
cana-1289	275	21	techniques	technique	NOUN
cana-1289	275	22	of	of	ADP
cana-1289	275	23	autoencoders	autoencoder	NOUN
cana-1289	275	24	in	in	ADP
cana-1289	275	25	a	a	DET
cana-1289	275	26	smooth	smooth	ADJ
cana-1289	275	27	and	and	CCONJ
cana-1289	275	28	integrated	integrated	ADJ
cana-1289	275	29	manner	manner	NOUN
cana-1289	275	30	.	.	PUNCT
cana-1289	276	1	this	this	DET
cana-1289	276	2	integration	integration	NOUN
cana-1289	276	3	not	not	PART
cana-1289	276	4	only	only	ADV
cana-1289	276	5	improves	improve	VERB
cana-1289	276	6	the	the	DET
cana-1289	276	7	accuracy	accuracy	NOUN
cana-1289	276	8	and	and	CCONJ
cana-1289	276	9	relevance	relevance	NOUN
cana-1289	276	10	of	of	ADP
cana-1289	276	11	the	the	DET
cana-1289	276	12	recommendations	recommendation	NOUN
cana-1289	276	13	given	give	VERB
cana-1289	276	14	,	,	PUNCT
cana-1289	276	15	but	but	CCONJ
cana-1289	276	16	also	also	ADV
cana-1289	276	17	significantly	significantly	ADV
cana-1289	276	18	promotes	promote	VERB
cana-1289	276	19	user	user	NOUN
cana-1289	276	20	engagement	engagement	NOUN
cana-1289	276	21	and	and	CCONJ
cana-1289	276	22	happiness	happiness	NOUN
cana-1289	276	23	on	on	ADP
cana-1289	276	24	various	various	ADJ
cana-1289	276	25	digital	digital	ADJ
cana-1289	276	26	channels	channel	NOUN
cana-1289	276	27	.	.	PUNCT
cana-1289	277	1	the	the	DET
cana-1289	277	2	hybrid	hybrid	ADJ
cana-1289	277	3	system	system	NOUN
cana-1289	277	4	excels	excel	VERB
cana-1289	277	5	in	in	ADP
cana-1289	277	6	providing	provide	VERB
cana-1289	277	7	precise	precise	ADJ
cana-1289	277	8	and	and	CCONJ
cana-1289	277	9	relevant	relevant	ADJ
cana-1289	277	10	recommendations	recommendation	NOUN
cana-1289	277	11	by	by	ADP
cana-1289	277	12	successfully	successfully	ADV
cana-1289	277	13	combining	combine	VERB
cana-1289	277	14	visual	visual	ADJ
cana-1289	277	15	,	,	PUNCT
cana-1289	277	16	textual	textual	ADJ
cana-1289	277	17	,	,	PUNCT
cana-1289	277	18	and	and	CCONJ
cana-1289	277	19	sequential	sequential	ADJ
cana-1289	277	20	data	datum	NOUN
cana-1289	277	21	.	.	PUNCT
cana-1289	278	1	this	this	DET
cana-1289	278	2	skill	skill	NOUN
cana-1289	278	3	guarantees	guarantee	VERB
cana-1289	278	4	that	that	SCONJ
cana-1289	278	5	consumers	consumer	NOUN
cana-1289	278	6	are	be	AUX
cana-1289	278	7	provided	provide	VERB
cana-1289	278	8	with	with	ADP
cana-1289	278	9	recommendations	recommendation	NOUN
cana-1289	278	10	that	that	PRON
cana-1289	278	11	not	not	PART
cana-1289	278	12	only	only	ADV
cana-1289	278	13	align	align	VERB
cana-1289	278	14	with	with	ADP
cana-1289	278	15	their	their	PRON
cana-1289	278	16	stated	state	VERB
cana-1289	278	17	preferences	preference	NOUN
cana-1289	278	18	,	,	PUNCT
cana-1289	278	19	but	but	CCONJ
cana-1289	278	20	also	also	ADV
cana-1289	278	21	match	match	VERB
cana-1289	278	22	their	their	PRON
cana-1289	278	23	underlying	underlie	VERB
cana-1289	278	24	behavioral	behavioral	ADJ
cana-1289	278	25	tendencies	tendency	NOUN
cana-1289	278	26	.	.	PUNCT
cana-1289	279	1	the	the	DET
cana-1289	279	2	system	system	NOUN
cana-1289	279	3	enhances	enhance	VERB
cana-1289	279	4	user	user	NOUN
cana-1289	279	5	pleasure	pleasure	NOUN
cana-1289	279	6	and	and	CCONJ
cana-1289	279	7	engagement	engagement	NOUN
cana-1289	279	8	by	by	ADP
cana-1289	279	9	providing	provide	VERB
cana-1289	279	10	individualized	individualized	ADJ
cana-1289	279	11	recommendations	recommendation	NOUN
cana-1289	279	12	that	that	PRON
cana-1289	279	13	fit	fit	VERB
cana-1289	279	14	with	with	ADP
cana-1289	279	15	individual	individual	ADJ
cana-1289	279	16	preferences	preference	NOUN
cana-1289	279	17	,	,	PUNCT
cana-1289	279	18	hence	hence	ADV
cana-1289	279	19	enhancing	enhance	VERB
cana-1289	279	20	user	user	NOUN
cana-1289	279	21	satisfaction	satisfaction	NOUN
cana-1289	279	22	.	.	PUNCT
cana-1289	280	1	this	this	DET
cana-1289	280	2	increased	increase	VERB
cana-1289	280	3	level	level	NOUN
cana-1289	280	4	of	of	ADP
cana-1289	280	5	pleasure	pleasure	NOUN
cana-1289	280	6	naturally	naturally	ADV
cana-1289	280	7	results	result	VERB
cana-1289	280	8	in	in	ADP
cana-1289	280	9	more	more	ADJ
cana-1289	280	10	user	user	NOUN
cana-1289	280	11	engagement	engagement	NOUN
cana-1289	280	12	,	,	PUNCT
cana-1289	280	13	as	as	SCONJ
cana-1289	280	14	consumers	consumer	NOUN
cana-1289	280	15	are	be	AUX
cana-1289	280	16	more	more	ADV
cana-1289	280	17	inclined	inclined	ADJ
cana-1289	280	18	to	to	PART
cana-1289	280	19	interact	interact	VERB
cana-1289	280	20	for	for	ADP
cana-1289	280	21	communications	communication	NOUN
cana-1289	280	22	on	on	ADP
cana-1289	280	23	applied	apply	VERB
cana-1289	280	24	nonlinear	nonlinear	ADJ
cana-1289	280	25	analysis	analysis	NOUN
cana-1289	280	26	issn	issn	NOUN
cana-1289	280	27	:	:	PUNCT
cana-1289	280	28	1074	1074	NUM
cana-1289	280	29	-	-	PUNCT
cana-1289	280	30	133x	133x	NUM
cana-1289	280	31	vol	vol	NOUN
cana-1289	280	32	31	31	NUM
cana-1289	280	33	no	no	NOUN
cana-1289	280	34	.	.	PUNCT
cana-1289	281	1	7s	7	NOUN
cana-1289	281	2	(	(	PUNCT
cana-1289	281	3	2024	2024	NUM
cana-1289	281	4	)	)	PUNCT
cana-1289	281	5	135	135	NUM
cana-1289	281	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	281	7	longer	long	ADJ
cana-1289	281	8	periods	period	NOUN
cana-1289	281	9	and	and	CCONJ
cana-1289	281	10	more	more	ADV
cana-1289	281	11	frequently	frequently	ADV
cana-1289	281	12	with	with	ADP
cana-1289	281	13	platforms	platform	NOUN
cana-1289	281	14	that	that	PRON
cana-1289	281	15	consistently	consistently	ADV
cana-1289	281	16	fulfill	fulfill	VERB
cana-1289	281	17	their	their	PRON
cana-1289	281	18	requirements	requirement	NOUN
cana-1289	281	19	and	and	CCONJ
cana-1289	281	20	cater	cater	VERB
cana-1289	281	21	to	to	ADP
cana-1289	281	22	their	their	PRON
cana-1289	281	23	interests	interest	NOUN
cana-1289	281	24	.	.	PUNCT
cana-1289	282	1	applicability	applicability	NOUN
cana-1289	282	2	in	in	ADP
cana-1289	282	3	real	real	ADJ
cana-1289	282	4	-	-	PUNCT
cana-1289	282	5	world	world	NOUN
cana-1289	282	6	scenarios	scenario	NOUN
cana-1289	282	7	:	:	PUNCT
cana-1289	282	8	this	this	DET
cana-1289	282	9	hybrid	hybrid	ADJ
cana-1289	282	10	approach	approach	NOUN
cana-1289	282	11	can	can	AUX
cana-1289	282	12	be	be	AUX
cana-1289	282	13	applied	apply	VERB
cana-1289	282	14	in	in	ADP
cana-1289	282	15	various	various	ADJ
cana-1289	282	16	real	real	ADJ
cana-1289	282	17	-	-	PUNCT
cana-1289	282	18	world	world	NOUN
cana-1289	282	19	situations	situation	NOUN
cana-1289	282	20	outside	outside	ADP
cana-1289	282	21	conventional	conventional	ADJ
cana-1289	282	22	e	e	NOUN
cana-1289	282	23	-	-	NOUN
cana-1289	282	24	commerce	commerce	NOUN
cana-1289	282	25	and	and	CCONJ
cana-1289	282	26	media	medium	NOUN
cana-1289	282	27	streaming	streaming	NOUN
cana-1289	282	28	platforms	platform	NOUN
cana-1289	282	29	.	.	PUNCT
cana-1289	283	1	it	it	PRON
cana-1289	283	2	may	may	AUX
cana-1289	283	3	be	be	AUX
cana-1289	283	4	efficiently	efficiently	ADV
cana-1289	283	5	applied	apply	VERB
cana-1289	283	6	in	in	ADP
cana-1289	283	7	several	several	ADJ
cana-1289	283	8	fields	field	NOUN
cana-1289	283	9	,	,	PUNCT
cana-1289	283	10	such	such	ADJ
cana-1289	283	11	as	as	ADP
cana-1289	283	12	digital	digital	ADJ
cana-1289	283	13	libraries	library	NOUN
cana-1289	283	14	,	,	PUNCT
cana-1289	283	15	educational	educational	ADJ
cana-1289	283	16	platforms	platform	NOUN
cana-1289	283	17	,	,	PUNCT
cana-1289	283	18	and	and	CCONJ
cana-1289	283	19	complex	complex	ADJ
cana-1289	283	20	systems	system	NOUN
cana-1289	283	21	like	like	ADP
cana-1289	283	22	personalized	personalized	ADJ
cana-1289	283	23	healthcare	healthcare	NOUN
cana-1289	283	24	,	,	PUNCT
cana-1289	283	25	where	where	SCONJ
cana-1289	283	26	customized	customize	VERB
cana-1289	283	27	recommendations	recommendation	NOUN
cana-1289	283	28	can	can	AUX
cana-1289	283	29	greatly	greatly	ADV
cana-1289	283	30	influence	influence	VERB
cana-1289	283	31	user	user	NOUN
cana-1289	283	32	results	result	NOUN
cana-1289	283	33	.	.	PUNCT
cana-1289	284	1	the	the	DET
cana-1289	284	2	system	system	NOUN
cana-1289	284	3	's	's	PART
cana-1289	284	4	architecture	architecture	NOUN
cana-1289	284	5	is	be	AUX
cana-1289	284	6	designed	design	VERB
cana-1289	284	7	to	to	PART
cana-1289	284	8	be	be	AUX
cana-1289	284	9	modular	modular	ADJ
cana-1289	284	10	,	,	PUNCT
cana-1289	284	11	which	which	PRON
cana-1289	284	12	means	mean	VERB
cana-1289	284	13	it	it	PRON
cana-1289	284	14	can	can	AUX
cana-1289	284	15	easily	easily	ADV
cana-1289	284	16	integrate	integrate	VERB
cana-1289	284	17	and	and	CCONJ
cana-1289	284	18	scale	scale	VERB
cana-1289	284	19	across	across	ADP
cana-1289	284	20	different	different	ADJ
cana-1289	284	21	industries	industry	NOUN
cana-1289	284	22	and	and	CCONJ
cana-1289	284	23	data	datum	NOUN
cana-1289	284	24	contexts	context	NOUN
cana-1289	284	25	.	.	PUNCT
cana-1289	285	1	the	the	DET
cana-1289	285	2	system	system	NOUN
cana-1289	285	3	efficiently	efficiently	ADV
cana-1289	285	4	adapts	adapt	VERB
cana-1289	285	5	and	and	CCONJ
cana-1289	285	6	grows	grow	VERB
cana-1289	285	7	to	to	PART
cana-1289	285	8	handle	handle	VERB
cana-1289	285	9	both	both	DET
cana-1289	285	10	sparse	sparse	ADJ
cana-1289	285	11	data	datum	NOUN
cana-1289	285	12	in	in	ADP
cana-1289	285	13	niche	niche	NOUN
cana-1289	285	14	markets	market	NOUN
cana-1289	285	15	and	and	CCONJ
cana-1289	285	16	copious	copious	ADJ
cana-1289	285	17	data	datum	NOUN
cana-1289	285	18	in	in	ADP
cana-1289	285	19	mainstream	mainstream	ADJ
cana-1289	285	20	channels	channel	NOUN
cana-1289	285	21	.	.	PUNCT
cana-1289	286	1	this	this	PRON
cana-1289	286	2	makes	make	VERB
cana-1289	286	3	it	it	PRON
cana-1289	286	4	a	a	DET
cana-1289	286	5	great	great	ADJ
cana-1289	286	6	tool	tool	NOUN
cana-1289	286	7	for	for	ADP
cana-1289	286	8	organizations	organization	NOUN
cana-1289	286	9	who	who	PRON
cana-1289	286	10	want	want	VERB
cana-1289	286	11	to	to	PART
cana-1289	286	12	utilize	utilize	VERB
cana-1289	286	13	deep	deep	ADJ
cana-1289	286	14	learning	learning	NOUN
cana-1289	286	15	to	to	PART
cana-1289	286	16	improve	improve	VERB
cana-1289	286	17	their	their	PRON
cana-1289	286	18	recommendation	recommendation	NOUN
cana-1289	286	19	systems	system	NOUN
cana-1289	286	20	.	.	PUNCT
cana-1289	287	1	perspectives	perspective	NOUN
cana-1289	287	2	for	for	ADP
cana-1289	287	3	the	the	DET
cana-1289	287	4	future	future	ADJ
cana-1289	287	5	and	and	CCONJ
cana-1289	287	6	continuous	continuous	ADJ
cana-1289	287	7	enhancements	enhancement	NOUN
cana-1289	287	8	:	:	PUNCT
cana-1289	287	9	given	give	VERB
cana-1289	287	10	the	the	DET
cana-1289	287	11	ongoing	ongoing	ADJ
cana-1289	287	12	evolution	evolution	NOUN
cana-1289	287	13	of	of	ADP
cana-1289	287	14	the	the	DET
cana-1289	287	15	digital	digital	ADJ
cana-1289	287	16	landscape	landscape	NOUN
cana-1289	287	17	through	through	ADP
cana-1289	287	18	developments	development	NOUN
cana-1289	287	19	in	in	ADP
cana-1289	287	20	ai	ai	NOUN
cana-1289	287	21	and	and	CCONJ
cana-1289	287	22	machine	machine	NOUN
cana-1289	287	23	learning	learning	NOUN
cana-1289	287	24	,	,	PUNCT
cana-1289	287	25	our	our	PRON
cana-1289	287	26	hybrid	hybrid	NOUN
cana-1289	287	27	recommender	recommender	NOUN
cana-1289	287	28	system	system	NOUN
cana-1289	287	29	is	be	AUX
cana-1289	287	30	fully	fully	ADV
cana-1289	287	31	equipped	equip	VERB
cana-1289	287	32	to	to	PART
cana-1289	287	33	integrate	integrate	VERB
cana-1289	287	34	upcoming	upcoming	ADJ
cana-1289	287	35	technologies	technology	NOUN
cana-1289	287	36	and	and	CCONJ
cana-1289	287	37	approaches	approach	NOUN
cana-1289	287	38	.	.	PUNCT
cana-1289	288	1	subsequent	subsequent	ADJ
cana-1289	288	2	versions	version	NOUN
cana-1289	288	3	could	could	AUX
cana-1289	288	4	incorporate	incorporate	VERB
cana-1289	288	5	more	more	ADV
cana-1289	288	6	advanced	advanced	ADJ
cana-1289	288	7	deep	deep	ADJ
cana-1289	288	8	learning	learning	NOUN
cana-1289	288	9	models	model	NOUN
cana-1289	288	10	that	that	PRON
cana-1289	288	11	can	can	AUX
cana-1289	288	12	capture	capture	VERB
cana-1289	288	13	more	more	ADV
cana-1289	288	14	subtle	subtle	ADJ
cana-1289	288	15	user	user	NOUN
cana-1289	288	16	preferences	preference	NOUN
cana-1289	288	17	or	or	CCONJ
cana-1289	288	18	utilize	utilize	VERB
cana-1289	288	19	reinforcement	reinforcement	NOUN
cana-1289	288	20	learning	learning	NOUN
cana-1289	288	21	techniques	technique	NOUN
cana-1289	288	22	to	to	PART
cana-1289	288	23	adapt	adapt	VERB
cana-1289	288	24	recommendations	recommendation	NOUN
cana-1289	288	25	in	in	ADP
cana-1289	288	26	response	response	NOUN
cana-1289	288	27	to	to	ADP
cana-1289	288	28	real	real	ADJ
cana-1289	288	29	-	-	PUNCT
cana-1289	288	30	time	time	NOUN
cana-1289	288	31	user	user	NOUN
cana-1289	288	32	feedback	feedback	NOUN
cana-1289	288	33	.	.	PUNCT
cana-1289	289	1	ultimately	ultimately	ADV
cana-1289	289	2	,	,	PUNCT
cana-1289	289	3	the	the	DET
cana-1289	289	4	hybrid	hybrid	NOUN
cana-1289	289	5	recommender	recommender	NOUN
cana-1289	289	6	system	system	NOUN
cana-1289	289	7	represents	represent	VERB
cana-1289	289	8	a	a	DET
cana-1289	289	9	significant	significant	ADJ
cana-1289	289	10	advancement	advancement	NOUN
cana-1289	289	11	in	in	ADP
cana-1289	289	12	enhancing	enhance	VERB
cana-1289	289	13	the	the	DET
cana-1289	289	14	precision	precision	NOUN
cana-1289	289	15	of	of	ADP
cana-1289	289	16	recommendations	recommendation	NOUN
cana-1289	289	17	and	and	CCONJ
cana-1289	289	18	increasing	increase	VERB
cana-1289	289	19	user	user	NOUN
cana-1289	289	20	involvement	involvement	NOUN
cana-1289	289	21	.	.	PUNCT
cana-1289	290	1	moreover	moreover	ADV
cana-1289	290	2	,	,	PUNCT
cana-1289	290	3	it	it	PRON
cana-1289	290	4	signifies	signify	VERB
cana-1289	290	5	a	a	DET
cana-1289	290	6	substantial	substantial	ADJ
cana-1289	290	7	stride	stride	NOUN
cana-1289	290	8	towards	towards	ADP
cana-1289	290	9	developing	develop	VERB
cana-1289	290	10	digital	digital	ADJ
cana-1289	290	11	experiences	experience	NOUN
cana-1289	290	12	that	that	PRON
cana-1289	290	13	are	be	AUX
cana-1289	290	14	more	more	ADV
cana-1289	290	15	intuitive	intuitive	ADJ
cana-1289	290	16	,	,	PUNCT
cana-1289	290	17	responsive	responsive	ADJ
cana-1289	290	18	,	,	PUNCT
cana-1289	290	19	and	and	CCONJ
cana-1289	290	20	tailored	tailor	VERB
cana-1289	290	21	to	to	ADP
cana-1289	290	22	individual	individual	ADJ
cana-1289	290	23	preferences	preference	NOUN
cana-1289	290	24	.	.	PUNCT
cana-1289	291	1	this	this	DET
cana-1289	291	2	system	system	NOUN
cana-1289	291	3	provides	provide	VERB
cana-1289	291	4	a	a	DET
cana-1289	291	5	strong	strong	ADJ
cana-1289	291	6	,	,	PUNCT
cana-1289	291	7	flexible	flexible	ADJ
cana-1289	291	8	,	,	PUNCT
cana-1289	291	9	and	and	CCONJ
cana-1289	291	10	scalable	scalable	ADJ
cana-1289	291	11	solution	solution	NOUN
cana-1289	291	12	that	that	PRON
cana-1289	291	13	will	will	AUX
cana-1289	291	14	stay	stay	VERB
cana-1289	291	15	relevant	relevant	ADJ
cana-1289	291	16	in	in	ADP
cana-1289	291	17	the	the	DET
cana-1289	291	18	midst	midst	NOUN
cana-1289	291	19	of	of	ADP
cana-1289	291	20	quickly	quickly	ADV
cana-1289	291	21	changing	change	VERB
cana-1289	291	22	digital	digital	ADJ
cana-1289	291	23	trends	trend	NOUN
cana-1289	291	24	,	,	PUNCT
cana-1289	291	25	as	as	SCONJ
cana-1289	291	26	businesses	business	NOUN
cana-1289	291	27	and	and	CCONJ
cana-1289	291	28	platforms	platform	NOUN
cana-1289	291	29	aim	aim	VERB
cana-1289	291	30	to	to	PART
cana-1289	291	31	better	well	ADV
cana-1289	291	32	comprehend	comprehend	VERB
cana-1289	291	33	and	and	CCONJ
cana-1289	291	34	predict	predict	VERB
cana-1289	291	35	customer	customer	NOUN
cana-1289	291	36	requirements	requirement	NOUN
cana-1289	291	37	.	.	PUNCT
cana-1289	292	1	references	reference	NOUN
cana-1289	292	2	[	[	X
cana-1289	292	3	1	1	NUM
cana-1289	292	4	]	]	X
cana-1289	292	5	linden	linden	PROPN
cana-1289	292	6	,	,	PUNCT
cana-1289	292	7	g.	g.	PROPN
cana-1289	292	8	,	,	PUNCT
cana-1289	292	9	smith	smith	PROPN
cana-1289	292	10	,	,	PUNCT
cana-1289	292	11	b.	b.	PROPN
cana-1289	292	12	,	,	PUNCT
cana-1289	292	13	&	&	CCONJ
cana-1289	292	14	york	york	PROPN
cana-1289	292	15	,	,	PUNCT
cana-1289	292	16	j.	j.	PROPN
cana-1289	292	17	(	(	PUNCT
cana-1289	292	18	2003	2003	NUM
cana-1289	292	19	)	)	PUNCT
cana-1289	292	20	.	.	PUNCT
cana-1289	293	1	amazon.com	amazon.com	X
cana-1289	293	2	recommendations	recommendation	NOUN
cana-1289	293	3	:	:	PUNCT
cana-1289	293	4	item	item	NOUN
cana-1289	293	5	-	-	PUNCT
cana-1289	293	6	to	to	ADP
cana-1289	293	7	-	-	PUNCT
cana-1289	293	8	item	item	NOUN
cana-1289	293	9	collaborative	collaborative	ADJ
cana-1289	293	10	filtering	filtering	NOUN
cana-1289	293	11	.	.	PUNCT
cana-1289	294	1	ieee	ieee	PROPN
cana-1289	294	2	internet	internet	NOUN
cana-1289	294	3	computing	computing	NOUN
cana-1289	294	4	,	,	PUNCT
cana-1289	294	5	7(1	7(1	NUM
cana-1289	294	6	)	)	PUNCT
cana-1289	294	7	,	,	PUNCT
cana-1289	294	8	76	76	NUM
cana-1289	294	9	-	-	SYM
cana-1289	294	10	80	80	NUM
cana-1289	294	11	.	.	PUNCT
cana-1289	295	1	[	[	X
cana-1289	295	2	2	2	NUM
cana-1289	295	3	]	]	PUNCT
cana-1289	295	4	bobadilla	bobadilla	PROPN
cana-1289	295	5	,	,	PUNCT
cana-1289	295	6	j.	j.	PROPN
cana-1289	295	7	,	,	PUNCT
cana-1289	295	8	ortega	ortega	PROPN
cana-1289	295	9	,	,	PUNCT
cana-1289	295	10	f.	f.	PROPN
cana-1289	295	11	,	,	PUNCT
cana-1289	295	12	hernando	hernando	PROPN
cana-1289	295	13	,	,	PUNCT
cana-1289	295	14	a.	a.	PROPN
cana-1289	295	15	,	,	PUNCT
cana-1289	295	16	&	&	CCONJ
cana-1289	295	17	gutiérrez	gutiérrez	PROPN
cana-1289	295	18	,	,	PUNCT
cana-1289	295	19	a.	a.	NOUN
cana-1289	295	20	(	(	PUNCT
cana-1289	295	21	2013	2013	NUM
cana-1289	295	22	)	)	PUNCT
cana-1289	295	23	.	.	PUNCT
cana-1289	296	1	recommender	recommender	NOUN
cana-1289	296	2	systems	systems	PROPN
cana-1289	296	3	survey	survey	NOUN
cana-1289	296	4	.	.	PUNCT
cana-1289	297	1	knowledgebased	knowledgebased	PROPN
cana-1289	297	2	systems	system	NOUN
cana-1289	297	3	,	,	PUNCT
cana-1289	297	4	46	46	NUM
cana-1289	297	5	,	,	PUNCT
cana-1289	297	6	109	109	NUM
cana-1289	297	7	-	-	SYM
cana-1289	297	8	132	132	NUM
cana-1289	297	9	.	.	PUNCT
cana-1289	298	1	[	[	X
cana-1289	298	2	3	3	NUM
cana-1289	298	3	]	]	X
cana-1289	298	4	sarwar	sarwar	PROPN
cana-1289	298	5	,	,	PUNCT
cana-1289	298	6	b.	b.	PROPN
cana-1289	298	7	,	,	PUNCT
cana-1289	298	8	karypis	karypi	VERB
cana-1289	298	9	,	,	PUNCT
cana-1289	298	10	g.	g.	PROPN
cana-1289	298	11	,	,	PUNCT
cana-1289	298	12	konstan	konstan	PROPN
cana-1289	298	13	,	,	PUNCT
cana-1289	298	14	j.	j.	PROPN
cana-1289	298	15	,	,	PUNCT
cana-1289	298	16	&	&	CCONJ
cana-1289	298	17	riedl	riedl	PROPN
cana-1289	298	18	,	,	PUNCT
cana-1289	298	19	j.	j.	PROPN
cana-1289	298	20	(	(	PUNCT
cana-1289	298	21	2001	2001	NUM
cana-1289	298	22	)	)	PUNCT
cana-1289	298	23	.	.	PUNCT
cana-1289	299	1	item	item	NOUN
cana-1289	299	2	-	-	PUNCT
cana-1289	299	3	based	base	VERB
cana-1289	299	4	collaborative	collaborative	ADJ
cana-1289	299	5	filtering	filtering	NOUN
cana-1289	299	6	recommendation	recommendation	NOUN
cana-1289	299	7	algorithms	algorithm	NOUN
cana-1289	299	8	.	.	PUNCT
cana-1289	300	1	in	in	ADP
cana-1289	300	2	proceedings	proceeding	NOUN
cana-1289	300	3	of	of	ADP
cana-1289	300	4	the	the	DET
cana-1289	300	5	10th	10th	ADJ
cana-1289	300	6	international	international	ADJ
cana-1289	300	7	conference	conference	NOUN
cana-1289	300	8	on	on	ADP
cana-1289	300	9	world	world	NOUN
cana-1289	300	10	wide	wide	ADJ
cana-1289	300	11	web	web	NOUN
cana-1289	300	12	(	(	PUNCT
cana-1289	300	13	pp	pp	ADJ
cana-1289	300	14	.	.	PUNCT
cana-1289	300	15	285	285	NUM
cana-1289	300	16	-	-	SYM
cana-1289	300	17	295	295	NUM
cana-1289	300	18	)	)	PUNCT
cana-1289	300	19	.	.	PUNCT
cana-1289	301	1	[	[	X
cana-1289	301	2	4	4	NUM
cana-1289	301	3	]	]	PUNCT
cana-1289	301	4	lops	lop	NOUN
cana-1289	301	5	,	,	PUNCT
cana-1289	301	6	p.	p.	NOUN
cana-1289	301	7	,	,	PUNCT
cana-1289	301	8	de	de	PROPN
cana-1289	301	9	gemmis	gemmis	NOUN
cana-1289	301	10	,	,	PUNCT
cana-1289	301	11	m.	m.	NOUN
cana-1289	301	12	,	,	PUNCT
cana-1289	301	13	&	&	CCONJ
cana-1289	301	14	semeraro	semeraro	NOUN
cana-1289	301	15	,	,	PUNCT
cana-1289	301	16	g.	g.	PROPN
cana-1289	301	17	(	(	PUNCT
cana-1289	301	18	2011	2011	NUM
cana-1289	301	19	)	)	PUNCT
cana-1289	301	20	.	.	PUNCT
cana-1289	302	1	content	content	NOUN
cana-1289	302	2	-	-	PUNCT
cana-1289	302	3	based	base	VERB
cana-1289	302	4	recommender	recommender	NOUN
cana-1289	302	5	systems	system	NOUN
cana-1289	302	6	:	:	PUNCT
cana-1289	302	7	state	state	NOUN
cana-1289	302	8	of	of	ADP
cana-1289	302	9	the	the	DET
cana-1289	302	10	art	art	NOUN
cana-1289	302	11	and	and	CCONJ
cana-1289	302	12	trends	trend	NOUN
cana-1289	302	13	.	.	PUNCT
cana-1289	303	1	in	in	ADP
cana-1289	303	2	recommender	recommender	NOUN
cana-1289	303	3	systems	system	NOUN
cana-1289	303	4	handbook	handbook	NOUN
cana-1289	303	5	(	(	PUNCT
cana-1289	303	6	pp	pp	ADJ
cana-1289	303	7	.	.	PUNCT
cana-1289	304	1	73	73	NUM
cana-1289	304	2	-	-	SYM
cana-1289	304	3	105	105	NUM
cana-1289	304	4	)	)	PUNCT
cana-1289	304	5	.	.	PUNCT
cana-1289	305	1	springer	springer	NOUN
cana-1289	305	2	.	.	PUNCT
cana-1289	306	1	[	[	X
cana-1289	306	2	5	5	NUM
cana-1289	306	3	]	]	SYM
cana-1289	306	4	zhang	zhang	PROPN
cana-1289	306	5	,	,	PUNCT
cana-1289	306	6	s.	s.	PROPN
cana-1289	306	7	,	,	PUNCT
cana-1289	306	8	yao	yao	PROPN
cana-1289	306	9	,	,	PUNCT
cana-1289	306	10	l.	l.	PROPN
cana-1289	306	11	,	,	PUNCT
cana-1289	306	12	sun	sun	PROPN
cana-1289	306	13	,	,	PUNCT
cana-1289	306	14	a.	a.	PROPN
cana-1289	306	15	,	,	PUNCT
cana-1289	306	16	&	&	CCONJ
cana-1289	306	17	tay	tay	PROPN
cana-1289	306	18	,	,	PUNCT
cana-1289	306	19	y.	y.	PROPN
cana-1289	306	20	(	(	PUNCT
cana-1289	306	21	2019	2019	NUM
cana-1289	306	22	)	)	PUNCT
cana-1289	306	23	.	.	PUNCT
cana-1289	307	1	deep	deep	ADJ
cana-1289	307	2	learning	learning	NOUN
cana-1289	307	3	based	base	VERB
cana-1289	307	4	recommender	recommender	NOUN
cana-1289	307	5	system	system	NOUN
cana-1289	307	6	:	:	PUNCT
cana-1289	307	7	a	a	DET
cana-1289	307	8	survey	survey	NOUN
cana-1289	307	9	and	and	CCONJ
cana-1289	307	10	new	new	ADJ
cana-1289	307	11	perspectives	perspective	NOUN
cana-1289	307	12	.	.	PUNCT
cana-1289	308	1	acm	acm	PROPN
cana-1289	308	2	computing	computing	NOUN
cana-1289	308	3	surveys	survey	NOUN
cana-1289	308	4	(	(	PUNCT
cana-1289	308	5	csur	csur	NOUN
cana-1289	308	6	)	)	PUNCT
cana-1289	308	7	,	,	PUNCT
cana-1289	308	8	52(1	52(1	NOUN
cana-1289	308	9	)	)	PUNCT
cana-1289	308	10	,	,	PUNCT
cana-1289	308	11	1	1	NUM
cana-1289	308	12	-	-	SYM
cana-1289	308	13	38	38	NUM
cana-1289	308	14	.	.	PUNCT
cana-1289	309	1	[	[	X
cana-1289	309	2	6	6	NUM
cana-1289	309	3	]	]	X
cana-1289	309	4	cheng	cheng	PROPN
cana-1289	309	5	,	,	PUNCT
cana-1289	309	6	h.	h.	PROPN
cana-1289	309	7	t.	t.	PROPN
cana-1289	309	8	,	,	PUNCT
cana-1289	309	9	koc	koc	PROPN
cana-1289	309	10	,	,	PUNCT
cana-1289	309	11	l.	l.	PROPN
cana-1289	309	12	,	,	PUNCT
cana-1289	309	13	harmsen	harmsen	PROPN
cana-1289	309	14	,	,	PUNCT
cana-1289	309	15	j.	j.	PROPN
cana-1289	309	16	,	,	PUNCT
cana-1289	309	17	shaked	shake	VERB
cana-1289	309	18	,	,	PUNCT
cana-1289	309	19	t.	t.	PROPN
cana-1289	309	20	,	,	PUNCT
cana-1289	309	21	chandra	chandra	PROPN
cana-1289	309	22	,	,	PUNCT
cana-1289	309	23	t.	t.	PROPN
cana-1289	309	24	,	,	PUNCT
cana-1289	309	25	aradhye	aradhye	PROPN
cana-1289	309	26	,	,	PUNCT
cana-1289	309	27	h.	h.	PROPN
cana-1289	309	28	,	,	PUNCT
cana-1289	309	29	&	&	CCONJ
cana-1289	309	30	anil	anil	PROPN
cana-1289	309	31	,	,	PUNCT
cana-1289	309	32	r.	r.	PROPN
cana-1289	309	33	(	(	PUNCT
cana-1289	309	34	2016	2016	NUM
cana-1289	309	35	)	)	PUNCT
cana-1289	309	36	.	.	PUNCT
cana-1289	310	1	wide	wide	ADJ
cana-1289	310	2	&	&	CCONJ
cana-1289	310	3	deep	deep	ADJ
cana-1289	310	4	learning	learning	NOUN
cana-1289	310	5	for	for	ADP
cana-1289	310	6	recommender	recommender	NOUN
cana-1289	310	7	systems	system	NOUN
cana-1289	310	8	.	.	PUNCT
cana-1289	311	1	in	in	ADP
cana-1289	311	2	proceedings	proceeding	NOUN
cana-1289	311	3	of	of	ADP
cana-1289	311	4	the	the	DET
cana-1289	311	5	1st	1st	ADJ
cana-1289	311	6	workshop	workshop	NOUN
cana-1289	311	7	on	on	ADP
cana-1289	311	8	deep	deep	ADJ
cana-1289	311	9	learning	learning	NOUN
cana-1289	311	10	for	for	ADP
cana-1289	311	11	recommender	recommender	NOUN
cana-1289	311	12	systems	system	NOUN
cana-1289	311	13	(	(	PUNCT
cana-1289	311	14	pp	pp	ADJ
cana-1289	311	15	.	.	PUNCT
cana-1289	312	1	7	7	NUM
cana-1289	312	2	-	-	SYM
cana-1289	312	3	10	10	NUM
cana-1289	312	4	)	)	PUNCT
cana-1289	312	5	.	.	PUNCT
cana-1289	313	1	[	[	X
cana-1289	313	2	7	7	NUM
cana-1289	313	3	]	]	X
cana-1289	313	4	covington	covington	PROPN
cana-1289	313	5	,	,	PUNCT
cana-1289	313	6	p.	p.	PROPN
cana-1289	313	7	,	,	PUNCT
cana-1289	313	8	adams	adams	PROPN
cana-1289	313	9	,	,	PUNCT
cana-1289	313	10	j.	j.	PROPN
cana-1289	313	11	,	,	PUNCT
cana-1289	313	12	&	&	CCONJ
cana-1289	313	13	sargin	sargin	PROPN
cana-1289	313	14	,	,	PUNCT
cana-1289	313	15	e.	e.	PROPN
cana-1289	313	16	(	(	PUNCT
cana-1289	313	17	2016	2016	NUM
cana-1289	313	18	)	)	PUNCT
cana-1289	313	19	.	.	PUNCT
cana-1289	314	1	deep	deep	ADJ
cana-1289	314	2	neural	neural	ADJ
cana-1289	314	3	networks	network	NOUN
cana-1289	314	4	for	for	ADP
cana-1289	314	5	youtube	youtube	NOUN
cana-1289	314	6	recommendations	recommendation	NOUN
cana-1289	314	7	.	.	PUNCT
cana-1289	315	1	in	in	ADP
cana-1289	315	2	proceedings	proceeding	NOUN
cana-1289	315	3	of	of	ADP
cana-1289	315	4	the	the	DET
cana-1289	315	5	10th	10th	ADJ
cana-1289	315	6	acm	acm	NOUN
cana-1289	315	7	conference	conference	NOUN
cana-1289	315	8	on	on	ADP
cana-1289	315	9	recommender	recommender	NOUN
cana-1289	315	10	systems	system	NOUN
cana-1289	315	11	(	(	PUNCT
cana-1289	315	12	pp	pp	ADJ
cana-1289	315	13	.	.	PUNCT
cana-1289	316	1	191	191	NUM
cana-1289	316	2	-	-	NUM
cana-1289	316	3	198	198	NUM
cana-1289	316	4	)	)	PUNCT
cana-1289	316	5	.	.	PUNCT
cana-1289	317	1	[	[	X
cana-1289	317	2	8	8	NUM
cana-1289	317	3	]	]	X
cana-1289	317	4	hidasi	hidasi	NOUN
cana-1289	317	5	,	,	PUNCT
cana-1289	317	6	b.	b.	PROPN
cana-1289	317	7	,	,	PUNCT
cana-1289	317	8	karatzoglou	karatzoglou	PROPN
cana-1289	317	9	,	,	PUNCT
cana-1289	317	10	a.	a.	PROPN
cana-1289	317	11	,	,	PUNCT
cana-1289	317	12	baltrunas	baltrunas	PROPN
cana-1289	317	13	,	,	PUNCT
cana-1289	317	14	l.	l.	PROPN
cana-1289	317	15	,	,	PUNCT
cana-1289	317	16	&	&	CCONJ
cana-1289	317	17	tikk	tikk	PROPN
cana-1289	317	18	,	,	PUNCT
cana-1289	317	19	d.	d.	PROPN
cana-1289	317	20	(	(	PUNCT
cana-1289	317	21	2016	2016	NUM
cana-1289	317	22	)	)	PUNCT
cana-1289	317	23	.	.	PUNCT
cana-1289	318	1	session	session	NOUN
cana-1289	318	2	-	-	PUNCT
cana-1289	318	3	based	base	VERB
cana-1289	318	4	recommendations	recommendation	NOUN
cana-1289	318	5	with	with	ADP
cana-1289	318	6	recurrent	recurrent	ADJ
cana-1289	318	7	neural	neural	ADJ
cana-1289	318	8	networks	network	NOUN
cana-1289	318	9	.	.	PUNCT
cana-1289	319	1	international	international	ADJ
cana-1289	319	2	conference	conference	NOUN
cana-1289	319	3	on	on	ADP
cana-1289	319	4	learning	learn	VERB
cana-1289	319	5	representations	representation	NOUN
cana-1289	319	6	(	(	PUNCT
cana-1289	319	7	iclr	iclr	NOUN
cana-1289	319	8	)	)	PUNCT
cana-1289	319	9	.	.	PUNCT
cana-1289	320	1	[	[	X
cana-1289	320	2	9	9	NUM
cana-1289	320	3	]	]	X
cana-1289	320	4	quadrana	quadrana	PROPN
cana-1289	320	5	,	,	PUNCT
cana-1289	320	6	m.	m.	NOUN
cana-1289	320	7	,	,	PUNCT
cana-1289	320	8	cremonesi	cremonesi	ADV
cana-1289	320	9	,	,	PUNCT
cana-1289	320	10	p.	p.	NOUN
cana-1289	320	11	,	,	PUNCT
cana-1289	320	12	&	&	CCONJ
cana-1289	320	13	jannach	jannach	PROPN
cana-1289	320	14	,	,	PUNCT
cana-1289	320	15	d.	d.	PROPN
cana-1289	320	16	(	(	PUNCT
cana-1289	320	17	2018	2018	NUM
cana-1289	320	18	)	)	PUNCT
cana-1289	320	19	.	.	PUNCT
cana-1289	321	1	sequence	sequence	NOUN
cana-1289	321	2	-	-	PUNCT
cana-1289	321	3	aware	aware	ADJ
cana-1289	321	4	recommender	recommender	NOUN
cana-1289	321	5	systems	system	NOUN
cana-1289	321	6	.	.	PUNCT
cana-1289	322	1	acm	acm	PROPN
cana-1289	322	2	computing	computing	NOUN
cana-1289	322	3	surveys	survey	NOUN
cana-1289	322	4	(	(	PUNCT
cana-1289	322	5	csur	csur	NOUN
cana-1289	322	6	)	)	PUNCT
cana-1289	322	7	,	,	PUNCT
cana-1289	322	8	51(4	51(4	NUM
cana-1289	322	9	)	)	PUNCT
cana-1289	322	10	,	,	PUNCT
cana-1289	322	11	1	1	NUM
cana-1289	322	12	-	-	SYM
cana-1289	322	13	36	36	NUM
cana-1289	322	14	.	.	PUNCT
cana-1289	323	1	communications	communication	NOUN
cana-1289	323	2	on	on	ADP
cana-1289	323	3	applied	apply	VERB
cana-1289	323	4	nonlinear	nonlinear	ADJ
cana-1289	323	5	analysis	analysis	NOUN
cana-1289	323	6	issn	issn	NOUN
cana-1289	323	7	:	:	PUNCT
cana-1289	323	8	1074	1074	NUM
cana-1289	323	9	-	-	PUNCT
cana-1289	323	10	133x	133x	NUM
cana-1289	323	11	vol	vol	NOUN
cana-1289	323	12	31	31	NUM
cana-1289	323	13	no	no	NOUN
cana-1289	323	14	.	.	PUNCT
cana-1289	324	1	7s	7	NOUN
cana-1289	324	2	(	(	PUNCT
cana-1289	324	3	2024	2024	NUM
cana-1289	324	4	)	)	PUNCT
cana-1289	324	5	136	136	NUM
cana-1289	324	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	325	1	[	[	X
cana-1289	325	2	10	10	NUM
cana-1289	325	3	]	]	X
cana-1289	325	4	wang	wang	PROPN
cana-1289	325	5	,	,	PUNCT
cana-1289	325	6	h.	h.	PROPN
cana-1289	325	7	,	,	PUNCT
cana-1289	325	8	wang	wang	PROPN
cana-1289	325	9	,	,	PUNCT
cana-1289	325	10	n.	n.	PROPN
cana-1289	325	11	,	,	PUNCT
cana-1289	325	12	&	&	CCONJ
cana-1289	325	13	yeung	yeung	PROPN
cana-1289	325	14	,	,	PUNCT
cana-1289	325	15	d.	d.	PROPN
cana-1289	325	16	y.	y.	PROPN
cana-1289	325	17	(	(	PUNCT
cana-1289	325	18	2015	2015	NUM
cana-1289	325	19	)	)	PUNCT
cana-1289	325	20	.	.	PUNCT
cana-1289	326	1	collaborative	collaborative	ADJ
cana-1289	326	2	deep	deep	ADJ
cana-1289	326	3	learning	learning	NOUN
cana-1289	326	4	for	for	ADP
cana-1289	326	5	recommender	recommender	NOUN
cana-1289	326	6	systems	system	NOUN
cana-1289	326	7	.	.	PUNCT
cana-1289	327	1	in	in	ADP
cana-1289	327	2	proceedings	proceeding	NOUN
cana-1289	327	3	of	of	ADP
cana-1289	327	4	the	the	DET
cana-1289	327	5	21th	21th	PROPN
cana-1289	327	6	acm	acm	PROPN
cana-1289	327	7	sigkdd	sigkdd	PROPN
cana-1289	327	8	international	international	ADJ
cana-1289	327	9	conference	conference	NOUN
cana-1289	327	10	on	on	ADP
cana-1289	327	11	knowledge	knowledge	NOUN
cana-1289	327	12	discovery	discovery	PROPN
cana-1289	327	13	and	and	CCONJ
cana-1289	327	14	data	datum	NOUN
cana-1289	327	15	mining	mining	NOUN
cana-1289	327	16	(	(	PUNCT
cana-1289	327	17	pp	pp	ADJ
cana-1289	327	18	.	.	PUNCT
cana-1289	328	1	1235	1235	NUM
cana-1289	328	2	-	-	SYM
cana-1289	328	3	1244	1244	NUM
cana-1289	328	4	)	)	PUNCT
cana-1289	328	5	.	.	PUNCT
cana-1289	329	1	[	[	X
cana-1289	329	2	11	11	NUM
cana-1289	329	3	]	]	X
cana-1289	329	4	liang	liang	PROPN
cana-1289	329	5	,	,	PUNCT
cana-1289	329	6	d.	d.	PROPN
cana-1289	329	7	,	,	PUNCT
cana-1289	329	8	krishnan	krishnan	PROPN
cana-1289	329	9	,	,	PUNCT
cana-1289	329	10	r.	r.	PROPN
cana-1289	329	11	g.	g.	PROPN
cana-1289	329	12	,	,	PUNCT
cana-1289	329	13	hoffman	hoffman	PROPN
cana-1289	329	14	,	,	PUNCT
cana-1289	329	15	m.	m.	NOUN
cana-1289	329	16	d.	d.	PROPN
cana-1289	329	17	,	,	PUNCT
cana-1289	329	18	&	&	CCONJ
cana-1289	329	19	jebara	jebara	PROPN
cana-1289	329	20	,	,	PUNCT
cana-1289	329	21	t.	t.	PROPN
cana-1289	329	22	(	(	PUNCT
cana-1289	329	23	2018	2018	NUM
cana-1289	329	24	)	)	PUNCT
cana-1289	329	25	.	.	PUNCT
cana-1289	330	1	variational	variational	ADJ
cana-1289	330	2	autoencoders	autoencoder	NOUN
cana-1289	330	3	for	for	ADP
cana-1289	330	4	collaborative	collaborative	ADJ
cana-1289	330	5	filtering	filtering	NOUN
cana-1289	330	6	.	.	PUNCT
cana-1289	331	1	in	in	ADP
cana-1289	331	2	proceedings	proceeding	NOUN
cana-1289	331	3	of	of	ADP
cana-1289	331	4	the	the	DET
cana-1289	331	5	2018	2018	NUM
cana-1289	331	6	world	world	NOUN
cana-1289	331	7	wide	wide	ADJ
cana-1289	331	8	web	web	NOUN
cana-1289	331	9	conference	conference	NOUN
cana-1289	331	10	(	(	PUNCT
cana-1289	331	11	pp	pp	ADJ
cana-1289	331	12	.	.	PUNCT
cana-1289	332	1	689	689	NUM
cana-1289	332	2	-	-	NUM
cana-1289	332	3	698	698	NUM
cana-1289	332	4	)	)	PUNCT
cana-1289	332	5	.	.	PUNCT
cana-1289	333	1	[	[	X
cana-1289	333	2	12	12	NUM
cana-1289	333	3	]	]	X
cana-1289	333	4	linden	linden	PROPN
cana-1289	333	5	,	,	PUNCT
cana-1289	333	6	g.	g.	PROPN
cana-1289	333	7	,	,	PUNCT
cana-1289	333	8	smith	smith	PROPN
cana-1289	333	9	,	,	PUNCT
cana-1289	333	10	b.	b.	PROPN
cana-1289	333	11	,	,	PUNCT
cana-1289	333	12	&	&	CCONJ
cana-1289	333	13	york	york	PROPN
cana-1289	333	14	,	,	PUNCT
cana-1289	333	15	j.	j.	PROPN
cana-1289	333	16	(	(	PUNCT
cana-1289	333	17	2003	2003	NUM
cana-1289	333	18	)	)	PUNCT
cana-1289	333	19	.	.	PUNCT
cana-1289	334	1	amazon.com	amazon.com	X
cana-1289	334	2	recommendations	recommendation	NOUN
cana-1289	334	3	:	:	PUNCT
cana-1289	334	4	item	item	NOUN
cana-1289	334	5	-	-	PUNCT
cana-1289	334	6	to	to	ADP
cana-1289	334	7	-	-	PUNCT
cana-1289	334	8	item	item	NOUN
cana-1289	334	9	collaborative	collaborative	ADJ
cana-1289	334	10	filtering	filtering	NOUN
cana-1289	334	11	.	.	PUNCT
cana-1289	335	1	ieee	ieee	PROPN
cana-1289	335	2	internet	internet	NOUN
cana-1289	335	3	computing	computing	NOUN
cana-1289	335	4	,	,	PUNCT
cana-1289	335	5	7(1	7(1	NUM
cana-1289	335	6	)	)	PUNCT
cana-1289	335	7	,	,	PUNCT
cana-1289	335	8	76	76	NUM
cana-1289	335	9	-	-	SYM
cana-1289	335	10	80	80	NUM
cana-1289	335	11	.	.	PUNCT
cana-1289	336	1	[	[	X
cana-1289	336	2	13	13	NUM
cana-1289	336	3	]	]	X
cana-1289	336	4	bobadilla	bobadilla	PROPN
cana-1289	336	5	,	,	PUNCT
cana-1289	336	6	j.	j.	PROPN
cana-1289	336	7	,	,	PUNCT
cana-1289	336	8	ortega	ortega	PROPN
cana-1289	336	9	,	,	PUNCT
cana-1289	336	10	f.	f.	PROPN
cana-1289	336	11	,	,	PUNCT
cana-1289	336	12	hernando	hernando	PROPN
cana-1289	336	13	,	,	PUNCT
cana-1289	336	14	a.	a.	PROPN
cana-1289	336	15	,	,	PUNCT
cana-1289	336	16	&	&	CCONJ
cana-1289	336	17	gutiérrez	gutiérrez	PROPN
cana-1289	336	18	,	,	PUNCT
cana-1289	336	19	a.	a.	NOUN
cana-1289	336	20	(	(	PUNCT
cana-1289	336	21	2013	2013	NUM
cana-1289	336	22	)	)	PUNCT
cana-1289	336	23	.	.	PUNCT
cana-1289	337	1	recommender	recommender	NOUN
cana-1289	337	2	systems	systems	PROPN
cana-1289	337	3	survey	survey	NOUN
cana-1289	337	4	.	.	PUNCT
cana-1289	338	1	knowledgebased	knowledgebased	PROPN
cana-1289	338	2	systems	system	NOUN
cana-1289	338	3	,	,	PUNCT
cana-1289	338	4	46	46	NUM
cana-1289	338	5	,	,	PUNCT
cana-1289	338	6	109	109	NUM
cana-1289	338	7	-	-	SYM
cana-1289	338	8	132	132	NUM
cana-1289	338	9	.	.	PUNCT
cana-1289	339	1	[	[	X
cana-1289	339	2	14	14	NUM
cana-1289	339	3	]	]	X
cana-1289	339	4	sarwar	sarwar	PROPN
cana-1289	339	5	,	,	PUNCT
cana-1289	339	6	b.	b.	PROPN
cana-1289	339	7	,	,	PUNCT
cana-1289	339	8	karypis	karypi	VERB
cana-1289	339	9	,	,	PUNCT
cana-1289	339	10	g.	g.	PROPN
cana-1289	339	11	,	,	PUNCT
cana-1289	339	12	konstan	konstan	PROPN
cana-1289	339	13	,	,	PUNCT
cana-1289	339	14	j.	j.	PROPN
cana-1289	339	15	,	,	PUNCT
cana-1289	339	16	&	&	CCONJ
cana-1289	339	17	riedl	riedl	PROPN
cana-1289	339	18	,	,	PUNCT
cana-1289	339	19	j.	j.	PROPN
cana-1289	339	20	(	(	PUNCT
cana-1289	339	21	2001	2001	NUM
cana-1289	339	22	)	)	PUNCT
cana-1289	339	23	.	.	PUNCT
cana-1289	340	1	item	item	NOUN
cana-1289	340	2	-	-	PUNCT
cana-1289	340	3	based	base	VERB
cana-1289	340	4	collaborative	collaborative	ADJ
cana-1289	340	5	filtering	filtering	NOUN
cana-1289	340	6	recommendation	recommendation	NOUN
cana-1289	340	7	algorithms	algorithm	NOUN
cana-1289	340	8	.	.	PUNCT
cana-1289	341	1	in	in	ADP
cana-1289	341	2	proceedings	proceeding	NOUN
cana-1289	341	3	of	of	ADP
cana-1289	341	4	the	the	DET
cana-1289	341	5	10th	10th	ADJ
cana-1289	341	6	international	international	ADJ
cana-1289	341	7	conference	conference	NOUN
cana-1289	341	8	on	on	ADP
cana-1289	341	9	world	world	NOUN
cana-1289	341	10	wide	wide	ADJ
cana-1289	341	11	web	web	NOUN
cana-1289	341	12	(	(	PUNCT
cana-1289	341	13	pp	pp	ADJ
cana-1289	341	14	.	.	PUNCT
cana-1289	341	15	285	285	NUM
cana-1289	341	16	-	-	SYM
cana-1289	341	17	295	295	NUM
cana-1289	341	18	)	)	PUNCT
cana-1289	341	19	.	.	PUNCT
cana-1289	342	1	[	[	X
cana-1289	342	2	15	15	NUM
cana-1289	342	3	]	]	PUNCT
cana-1289	342	4	lops	lop	NOUN
cana-1289	342	5	,	,	PUNCT
cana-1289	342	6	p.	p.	NOUN
cana-1289	342	7	,	,	PUNCT
cana-1289	342	8	de	de	PROPN
cana-1289	342	9	gemmis	gemmis	NOUN
cana-1289	342	10	,	,	PUNCT
cana-1289	342	11	m.	m.	NOUN
cana-1289	342	12	,	,	PUNCT
cana-1289	342	13	&	&	CCONJ
cana-1289	342	14	semeraro	semeraro	NOUN
cana-1289	342	15	,	,	PUNCT
cana-1289	342	16	g.	g.	PROPN
cana-1289	342	17	(	(	PUNCT
cana-1289	342	18	2011	2011	NUM
cana-1289	342	19	)	)	PUNCT
cana-1289	342	20	.	.	PUNCT
cana-1289	343	1	content	content	NOUN
cana-1289	343	2	-	-	PUNCT
cana-1289	343	3	based	base	VERB
cana-1289	343	4	recommender	recommender	NOUN
cana-1289	343	5	systems	system	NOUN
cana-1289	343	6	:	:	PUNCT
cana-1289	343	7	state	state	NOUN
cana-1289	343	8	of	of	ADP
cana-1289	343	9	the	the	DET
cana-1289	343	10	art	art	NOUN
cana-1289	343	11	and	and	CCONJ
cana-1289	343	12	trends	trend	NOUN
cana-1289	343	13	.	.	PUNCT
cana-1289	344	1	in	in	ADP
cana-1289	344	2	recommender	recommender	NOUN
cana-1289	344	3	systems	system	NOUN
cana-1289	344	4	handbook	handbook	NOUN
cana-1289	344	5	(	(	PUNCT
cana-1289	344	6	pp	pp	ADJ
cana-1289	344	7	.	.	PUNCT
cana-1289	345	1	73	73	NUM
cana-1289	345	2	-	-	SYM
cana-1289	345	3	105	105	NUM
cana-1289	345	4	)	)	PUNCT
cana-1289	345	5	.	.	PUNCT
cana-1289	346	1	springer	springer	NOUN
cana-1289	346	2	.	.	PUNCT
cana-1289	347	1	[	[	X
cana-1289	347	2	16	16	NUM
cana-1289	347	3	]	]	X
cana-1289	347	4	zhang	zhang	PROPN
cana-1289	347	5	,	,	PUNCT
cana-1289	347	6	s.	s.	PROPN
cana-1289	347	7	,	,	PUNCT
cana-1289	347	8	yao	yao	PROPN
cana-1289	347	9	,	,	PUNCT
cana-1289	347	10	l.	l.	PROPN
cana-1289	347	11	,	,	PUNCT
cana-1289	347	12	sun	sun	PROPN
cana-1289	347	13	,	,	PUNCT
cana-1289	347	14	a.	a.	PROPN
cana-1289	347	15	,	,	PUNCT
cana-1289	347	16	&	&	CCONJ
cana-1289	347	17	tay	tay	PROPN
cana-1289	347	18	,	,	PUNCT
cana-1289	347	19	y.	y.	PROPN
cana-1289	347	20	(	(	PUNCT
cana-1289	347	21	2019	2019	NUM
cana-1289	347	22	)	)	PUNCT
cana-1289	347	23	.	.	PUNCT
cana-1289	348	1	deep	deep	ADJ
cana-1289	348	2	learning	learning	NOUN
cana-1289	348	3	based	base	VERB
cana-1289	348	4	recommender	recommender	NOUN
cana-1289	348	5	system	system	NOUN
cana-1289	348	6	:	:	PUNCT
cana-1289	348	7	a	a	DET
cana-1289	348	8	survey	survey	NOUN
cana-1289	348	9	and	and	CCONJ
cana-1289	348	10	new	new	ADJ
cana-1289	348	11	perspectives	perspective	NOUN
cana-1289	348	12	.	.	PUNCT
cana-1289	349	1	acm	acm	PROPN
cana-1289	349	2	computing	computing	NOUN
cana-1289	349	3	surveys	survey	NOUN
cana-1289	349	4	(	(	PUNCT
cana-1289	349	5	csur	csur	NOUN
cana-1289	349	6	)	)	PUNCT
cana-1289	349	7	,	,	PUNCT
cana-1289	349	8	52(1	52(1	NOUN
cana-1289	349	9	)	)	PUNCT
cana-1289	349	10	,	,	PUNCT
cana-1289	349	11	1	1	NUM
cana-1289	349	12	-	-	SYM
cana-1289	349	13	38	38	NUM
cana-1289	349	14	.	.	PUNCT
cana-1289	350	1	[	[	X
cana-1289	350	2	17	17	NUM
cana-1289	350	3	]	]	X
cana-1289	350	4	covington	covington	PROPN
cana-1289	350	5	,	,	PUNCT
cana-1289	350	6	p.	p.	PROPN
cana-1289	350	7	,	,	PUNCT
cana-1289	350	8	adams	adams	PROPN
cana-1289	350	9	,	,	PUNCT
cana-1289	350	10	j.	j.	PROPN
cana-1289	350	11	,	,	PUNCT
cana-1289	350	12	&	&	CCONJ
cana-1289	350	13	sargin	sargin	PROPN
cana-1289	350	14	,	,	PUNCT
cana-1289	350	15	e.	e.	PROPN
cana-1289	350	16	(	(	PUNCT
cana-1289	350	17	2016	2016	NUM
cana-1289	350	18	)	)	PUNCT
cana-1289	350	19	.	.	PUNCT
cana-1289	351	1	deep	deep	ADJ
cana-1289	351	2	neural	neural	ADJ
cana-1289	351	3	networks	network	NOUN
cana-1289	351	4	for	for	ADP
cana-1289	351	5	youtube	youtube	NOUN
cana-1289	351	6	recommendations	recommendation	NOUN
cana-1289	351	7	.	.	PUNCT
cana-1289	352	1	in	in	ADP
cana-1289	352	2	proceedings	proceeding	NOUN
cana-1289	352	3	of	of	ADP
cana-1289	352	4	the	the	DET
cana-1289	352	5	10th	10th	ADJ
cana-1289	352	6	acm	acm	NOUN
cana-1289	352	7	conference	conference	NOUN
cana-1289	352	8	on	on	ADP
cana-1289	352	9	recommender	recommender	NOUN
cana-1289	352	10	systems	system	NOUN
cana-1289	352	11	(	(	PUNCT
cana-1289	352	12	pp	pp	ADJ
cana-1289	352	13	.	.	PUNCT
cana-1289	353	1	191	191	NUM
cana-1289	353	2	-	-	NUM
cana-1289	353	3	198	198	NUM
cana-1289	353	4	)	)	PUNCT
cana-1289	353	5	.	.	PUNCT
cana-1289	354	1	[	[	X
cana-1289	354	2	18	18	NUM
cana-1289	354	3	]	]	PUNCT
cana-1289	354	4	he	he	PRON
cana-1289	354	5	,	,	PUNCT
cana-1289	354	6	x.	x.	PROPN
cana-1289	354	7	,	,	PUNCT
cana-1289	354	8	&	&	CCONJ
cana-1289	354	9	chua	chua	PROPN
cana-1289	354	10	,	,	PUNCT
cana-1289	354	11	t.-s	t.-s	PROPN
cana-1289	354	12	.	.	PUNCT
cana-1289	355	1	(	(	PUNCT
cana-1289	355	2	2017	2017	NUM
cana-1289	355	3	)	)	PUNCT
cana-1289	355	4	.	.	PUNCT
cana-1289	356	1	neural	neural	ADJ
cana-1289	356	2	collaborative	collaborative	ADJ
cana-1289	356	3	filtering	filtering	NOUN
cana-1289	356	4	.	.	PUNCT
cana-1289	357	1	in	in	ADP
cana-1289	357	2	proceedings	proceeding	NOUN
cana-1289	357	3	of	of	ADP
cana-1289	357	4	the	the	DET
cana-1289	357	5	26th	26th	ADJ
cana-1289	357	6	international	international	ADJ
cana-1289	357	7	conference	conference	NOUN
cana-1289	357	8	on	on	ADP
cana-1289	357	9	world	world	NOUN
cana-1289	357	10	wide	wide	ADJ
cana-1289	357	11	web	web	NOUN
cana-1289	357	12	(	(	PUNCT
cana-1289	357	13	pp	pp	ADJ
cana-1289	357	14	.	.	PUNCT
cana-1289	358	1	173	173	NUM
cana-1289	358	2	-	-	SYM
cana-1289	358	3	182	182	NUM
cana-1289	358	4	)	)	PUNCT
cana-1289	358	5	.	.	PUNCT
cana-1289	359	1	[	[	X
cana-1289	359	2	19	19	NUM
cana-1289	359	3	]	]	PUNCT
cana-1289	359	4	hidasi	hidasi	PROPN
cana-1289	359	5	,	,	PUNCT
cana-1289	359	6	b.	b.	PROPN
cana-1289	359	7	,	,	PUNCT
cana-1289	359	8	karatzoglou	karatzoglou	PROPN
cana-1289	359	9	,	,	PUNCT
cana-1289	359	10	a.	a.	PROPN
cana-1289	359	11	,	,	PUNCT
cana-1289	359	12	baltrunas	baltrunas	PROPN
cana-1289	359	13	,	,	PUNCT
cana-1289	359	14	l.	l.	PROPN
cana-1289	359	15	,	,	PUNCT
cana-1289	359	16	&	&	CCONJ
cana-1289	359	17	tikk	tikk	PROPN
cana-1289	359	18	,	,	PUNCT
cana-1289	359	19	d.	d.	PROPN
cana-1289	359	20	(	(	PUNCT
cana-1289	359	21	2016	2016	NUM
cana-1289	359	22	)	)	PUNCT
cana-1289	359	23	.	.	PUNCT
cana-1289	360	1	session	session	NOUN
cana-1289	360	2	-	-	PUNCT
cana-1289	360	3	based	base	VERB
cana-1289	360	4	recommendations	recommendation	NOUN
cana-1289	360	5	with	with	ADP
cana-1289	360	6	recurrent	recurrent	ADJ
cana-1289	360	7	neural	neural	ADJ
cana-1289	360	8	networks	network	NOUN
cana-1289	360	9	.	.	PUNCT
cana-1289	361	1	international	international	ADJ
cana-1289	361	2	conference	conference	NOUN
cana-1289	361	3	on	on	ADP
cana-1289	361	4	learning	learn	VERB
cana-1289	361	5	representations	representation	NOUN
cana-1289	361	6	(	(	PUNCT
cana-1289	361	7	iclr	iclr	NOUN
cana-1289	361	8	)	)	PUNCT
cana-1289	361	9	.	.	PUNCT
cana-1289	362	1	[	[	X
cana-1289	362	2	20	20	NUM
cana-1289	362	3	]	]	X
cana-1289	362	4	quadrana	quadrana	PROPN
cana-1289	362	5	,	,	PUNCT
cana-1289	362	6	m.	m.	NOUN
cana-1289	362	7	,	,	PUNCT
cana-1289	362	8	cremonesi	cremonesi	ADV
cana-1289	362	9	,	,	PUNCT
cana-1289	362	10	p.	p.	NOUN
cana-1289	362	11	,	,	PUNCT
cana-1289	362	12	&	&	CCONJ
cana-1289	362	13	jannach	jannach	PROPN
cana-1289	362	14	,	,	PUNCT
cana-1289	362	15	d.	d.	PROPN
cana-1289	362	16	(	(	PUNCT
cana-1289	362	17	2018	2018	NUM
cana-1289	362	18	)	)	PUNCT
cana-1289	362	19	.	.	PUNCT
cana-1289	363	1	sequence	sequence	NOUN
cana-1289	363	2	-	-	PUNCT
cana-1289	363	3	aware	aware	ADJ
cana-1289	363	4	recommender	recommender	NOUN
cana-1289	363	5	systems	system	NOUN
cana-1289	363	6	.	.	PUNCT
cana-1289	364	1	acm	acm	PROPN
cana-1289	364	2	computing	computing	NOUN
cana-1289	364	3	surveys	survey	NOUN
cana-1289	364	4	(	(	PUNCT
cana-1289	364	5	csur	csur	NOUN
cana-1289	364	6	)	)	PUNCT
cana-1289	364	7	,	,	PUNCT
cana-1289	364	8	51(4	51(4	NUM
cana-1289	364	9	)	)	PUNCT
cana-1289	364	10	,	,	PUNCT
cana-1289	364	11	1	1	NUM
cana-1289	364	12	-	-	SYM
cana-1289	364	13	36	36	NUM
cana-1289	364	14	.	.	PUNCT
cana-1289	365	1	[	[	X
cana-1289	365	2	21	21	NUM
cana-1289	365	3	]	]	X
cana-1289	365	4	wang	wang	PROPN
cana-1289	365	5	,	,	PUNCT
cana-1289	365	6	h.	h.	PROPN
cana-1289	365	7	,	,	PUNCT
cana-1289	365	8	wang	wang	PROPN
cana-1289	365	9	,	,	PUNCT
cana-1289	365	10	n.	n.	PROPN
cana-1289	365	11	,	,	PUNCT
cana-1289	365	12	&	&	CCONJ
cana-1289	365	13	yeung	yeung	PROPN
cana-1289	365	14	,	,	PUNCT
cana-1289	365	15	d.	d.	PROPN
cana-1289	365	16	y.	y.	PROPN
cana-1289	365	17	(	(	PUNCT
cana-1289	365	18	2015	2015	NUM
cana-1289	365	19	)	)	PUNCT
cana-1289	365	20	.	.	PUNCT
cana-1289	366	1	collaborative	collaborative	ADJ
cana-1289	366	2	deep	deep	ADJ
cana-1289	366	3	learning	learning	NOUN
cana-1289	366	4	for	for	ADP
cana-1289	366	5	recommender	recommender	NOUN
cana-1289	366	6	systems	system	NOUN
cana-1289	366	7	.	.	PUNCT
cana-1289	367	1	in	in	ADP
cana-1289	367	2	proceedings	proceeding	NOUN
cana-1289	367	3	of	of	ADP
cana-1289	367	4	the	the	DET
cana-1289	367	5	21th	21th	PROPN
cana-1289	367	6	acm	acm	PROPN
cana-1289	367	7	sigkdd	sigkdd	PROPN
cana-1289	367	8	international	international	ADJ
cana-1289	367	9	conference	conference	NOUN
cana-1289	367	10	on	on	ADP
cana-1289	367	11	knowledge	knowledge	NOUN
cana-1289	367	12	discovery	discovery	PROPN
cana-1289	367	13	and	and	CCONJ
cana-1289	367	14	data	datum	NOUN
cana-1289	367	15	mining	mining	NOUN
cana-1289	367	16	(	(	PUNCT
cana-1289	367	17	pp	pp	ADJ
cana-1289	367	18	.	.	PUNCT
cana-1289	368	1	1235	1235	NUM
cana-1289	368	2	-	-	SYM
cana-1289	368	3	1244	1244	NUM
cana-1289	368	4	)	)	PUNCT
cana-1289	368	5	.	.	PUNCT
cana-1289	369	1	[	[	X
cana-1289	369	2	22	22	NUM
cana-1289	369	3	]	]	X
cana-1289	369	4	liang	liang	PROPN
cana-1289	369	5	,	,	PUNCT
cana-1289	369	6	d.	d.	PROPN
cana-1289	369	7	,	,	PUNCT
cana-1289	369	8	krishnan	krishnan	PROPN
cana-1289	369	9	,	,	PUNCT
cana-1289	369	10	r.	r.	PROPN
cana-1289	369	11	g.	g.	PROPN
cana-1289	369	12	,	,	PUNCT
cana-1289	369	13	hoffman	hoffman	PROPN
cana-1289	369	14	,	,	PUNCT
cana-1289	369	15	m.	m.	NOUN
cana-1289	369	16	d.	d.	PROPN
cana-1289	369	17	,	,	PUNCT
cana-1289	369	18	&	&	CCONJ
cana-1289	369	19	jebara	jebara	PROPN
cana-1289	369	20	,	,	PUNCT
cana-1289	369	21	t.	t.	PROPN
cana-1289	369	22	(	(	PUNCT
cana-1289	369	23	2018	2018	NUM
cana-1289	369	24	)	)	PUNCT
cana-1289	369	25	.	.	PUNCT
cana-1289	370	1	variational	variational	ADJ
cana-1289	370	2	autoencoders	autoencoder	NOUN
cana-1289	370	3	for	for	ADP
cana-1289	370	4	collaborative	collaborative	ADJ
cana-1289	370	5	filtering	filtering	NOUN
cana-1289	370	6	.	.	PUNCT
cana-1289	371	1	in	in	ADP
cana-1289	371	2	proceedings	proceeding	NOUN
cana-1289	371	3	of	of	ADP
cana-1289	371	4	the	the	DET
cana-1289	371	5	2018	2018	NUM
cana-1289	371	6	world	world	NOUN
cana-1289	371	7	wide	wide	ADJ
cana-1289	371	8	web	web	NOUN
cana-1289	371	9	conference	conference	NOUN
cana-1289	371	10	(	(	PUNCT
cana-1289	371	11	pp	pp	ADJ
cana-1289	371	12	.	.	PUNCT
cana-1289	372	1	689	689	NUM
cana-1289	372	2	-	-	NUM
cana-1289	372	3	698	698	NUM
cana-1289	372	4	)	)	PUNCT
cana-1289	372	5	.	.	PUNCT
cana-1289	373	1	[	[	X
cana-1289	373	2	23	23	NUM
cana-1289	373	3	]	]	X
cana-1289	373	4	koren	koren	PROPN
cana-1289	373	5	,	,	PUNCT
cana-1289	373	6	y.	y.	PROPN
cana-1289	373	7	(	(	PUNCT
cana-1289	373	8	2009	2009	NUM
cana-1289	373	9	)	)	PUNCT
cana-1289	373	10	.	.	PUNCT
cana-1289	374	1	collaborative	collaborative	ADJ
cana-1289	374	2	filtering	filtering	NOUN
cana-1289	374	3	with	with	ADP
cana-1289	374	4	temporal	temporal	ADJ
cana-1289	374	5	dynamics	dynamic	NOUN
cana-1289	374	6	.	.	PUNCT
cana-1289	375	1	in	in	ADP
cana-1289	375	2	proceedings	proceeding	NOUN
cana-1289	375	3	of	of	ADP
cana-1289	375	4	the	the	DET
cana-1289	375	5	15th	15th	PROPN
cana-1289	375	6	acm	acm	PROPN
cana-1289	375	7	sigkdd	sigkdd	NOUN
cana-1289	375	8	international	international	ADJ
cana-1289	375	9	conference	conference	NOUN
cana-1289	375	10	on	on	ADP
cana-1289	375	11	knowledge	knowledge	NOUN
cana-1289	375	12	discovery	discovery	PROPN
cana-1289	375	13	and	and	CCONJ
cana-1289	375	14	data	datum	NOUN
cana-1289	375	15	mining	mining	NOUN
cana-1289	375	16	(	(	PUNCT
cana-1289	375	17	pp	pp	ADJ
cana-1289	375	18	.	.	PUNCT
cana-1289	376	1	447	447	NUM
cana-1289	376	2	-	-	NUM
cana-1289	376	3	456	456	NUM
cana-1289	376	4	)	)	PUNCT
cana-1289	376	5	.	.	PUNCT
cana-1289	377	1	[	[	X
cana-1289	377	2	24	24	NUM
cana-1289	377	3	]	]	SYM
cana-1289	377	4	yu	yu	PROPN
cana-1289	377	5	,	,	PUNCT
cana-1289	377	6	s.	s.	PROPN
cana-1289	377	7	,	,	PUNCT
cana-1289	377	8	gao	gao	PROPN
cana-1289	377	9	,	,	PUNCT
cana-1289	377	10	l.	l.	PROPN
cana-1289	377	11	,	,	PUNCT
cana-1289	377	12	liu	liu	PROPN
cana-1289	377	13	,	,	PUNCT
cana-1289	377	14	y.	y.	PROPN
cana-1289	377	15	,	,	PUNCT
cana-1289	377	16	&	&	CCONJ
cana-1289	377	17	zhang	zhang	PROPN
cana-1289	377	18	,	,	PUNCT
cana-1289	377	19	q.	q.	PROPN
cana-1289	377	20	(	(	PUNCT
cana-1289	377	21	2016	2016	NUM
cana-1289	377	22	)	)	PUNCT
cana-1289	377	23	.	.	PUNCT
cana-1289	378	1	a	a	DET
cana-1289	378	2	dynamic	dynamic	ADJ
cana-1289	378	3	collaborative	collaborative	ADJ
cana-1289	378	4	filtering	filtering	NOUN
cana-1289	378	5	algorithm	algorithm	NOUN
cana-1289	378	6	based	base	VERB
cana-1289	378	7	on	on	ADP
cana-1289	378	8	time	time	NOUN
cana-1289	378	9	decay	decay	NOUN
cana-1289	378	10	and	and	CCONJ
cana-1289	378	11	nearest	near	ADJ
cana-1289	378	12	neighbors	neighbor	NOUN
cana-1289	378	13	.	.	PUNCT
cana-1289	379	1	ieee	ieee	NOUN
cana-1289	379	2	transactions	transaction	NOUN
cana-1289	379	3	on	on	ADP
cana-1289	379	4	systems	system	NOUN
cana-1289	379	5	,	,	PUNCT
cana-1289	379	6	man	man	NOUN
cana-1289	379	7	,	,	PUNCT
cana-1289	379	8	and	and	CCONJ
cana-1289	379	9	cybernetics	cybernetic	NOUN
cana-1289	379	10	:	:	PUNCT
cana-1289	379	11	systems	system	NOUN
cana-1289	379	12	,	,	PUNCT
cana-1289	379	13	46(2	46(2	NOUN
cana-1289	379	14	)	)	PUNCT
cana-1289	379	15	,	,	PUNCT
cana-1289	379	16	249	249	NUM
cana-1289	379	17	-	-	SYM
cana-1289	379	18	259	259	NUM
cana-1289	379	19	.	.	PUNCT
cana-1289	380	1	[	[	X
cana-1289	380	2	25	25	NUM
cana-1289	380	3	]	]	X
cana-1289	380	4	zhang	zhang	PROPN
cana-1289	380	5	,	,	PUNCT
cana-1289	380	6	w.	w.	PROPN
cana-1289	380	7	,	,	PUNCT
cana-1289	380	8	wang	wang	PROPN
cana-1289	380	9	,	,	PUNCT
cana-1289	380	10	j.	j.	PROPN
cana-1289	380	11	,	,	PUNCT
cana-1289	380	12	&	&	CCONJ
cana-1289	380	13	wang	wang	PROPN
cana-1289	380	14	,	,	PUNCT
cana-1289	380	15	j.	j.	PROPN
cana-1289	380	16	(	(	PUNCT
cana-1289	380	17	2016	2016	NUM
cana-1289	380	18	)	)	PUNCT
cana-1289	380	19	.	.	PUNCT
cana-1289	381	1	combining	combine	VERB
cana-1289	381	2	latent	latent	NOUN
cana-1289	381	3	factor	factor	NOUN
cana-1289	381	4	model	model	NOUN
cana-1289	381	5	with	with	ADP
cana-1289	381	6	deep	deep	ADJ
cana-1289	381	7	learning	learning	NOUN
cana-1289	381	8	for	for	ADP
cana-1289	381	9	personalized	personalized	ADJ
cana-1289	381	10	recommendation	recommendation	NOUN
cana-1289	381	11	.	.	PUNCT
cana-1289	382	1	in	in	ADP
cana-1289	382	2	proceedings	proceeding	NOUN
cana-1289	382	3	of	of	ADP
cana-1289	382	4	the	the	DET
cana-1289	382	5	16th	16th	ADJ
cana-1289	382	6	acm	acm	PROPN
cana-1289	382	7	sigkdd	sigkdd	NOUN
cana-1289	382	8	international	international	ADJ
cana-1289	382	9	conference	conference	NOUN
cana-1289	382	10	on	on	ADP
cana-1289	382	11	knowledge	knowledge	NOUN
cana-1289	382	12	discovery	discovery	PROPN
cana-1289	382	13	and	and	CCONJ
cana-1289	382	14	data	datum	NOUN
cana-1289	382	15	mining	mining	NOUN
cana-1289	382	16	(	(	PUNCT
cana-1289	382	17	pp	pp	ADJ
cana-1289	382	18	.	.	PUNCT
cana-1289	383	1	1235	1235	NUM
cana-1289	383	2	-	-	SYM
cana-1289	383	3	1244	1244	NUM
cana-1289	383	4	)	)	PUNCT
cana-1289	383	5	.	.	PUNCT
cana-1289	384	1	[	[	X
cana-1289	384	2	26	26	NUM
cana-1289	384	3	]	]	X
cana-1289	384	4	tmdb	tmdb	NOUN
cana-1289	384	5	(	(	PUNCT
cana-1289	384	6	2020	2020	NUM
cana-1289	384	7	)	)	PUNCT
cana-1289	384	8	.	.	PUNCT
cana-1289	385	1	the	the	DET
cana-1289	385	2	movie	movie	NOUN
cana-1289	385	3	database	database	NOUN
cana-1289	385	4	api	api	NOUN
cana-1289	385	5	.	.	PUNCT
cana-1289	386	1	[	[	X
cana-1289	386	2	online	online	X
cana-1289	386	3	]	]	X
cana-1289	386	4	.	.	PUNCT
cana-1289	387	1	available	available	ADJ
cana-1289	387	2	:	:	PUNCT
cana-1289	388	1	https://www.themoviedb.org/documentation/api	https://www.themoviedb.org/documentation/api	PROPN
cana-1289	388	2	[	[	X
cana-1289	388	3	27	27	NUM
cana-1289	388	4	]	]	X
cana-1289	388	5	gonzalez	gonzalez	PROPN
cana-1289	388	6	,	,	PUNCT
cana-1289	388	7	r.c	r.c	PROPN
cana-1289	388	8	.	.	PROPN
cana-1289	388	9	,	,	PUNCT
cana-1289	388	10	&	&	CCONJ
cana-1289	388	11	woods	woods	PROPN
cana-1289	388	12	,	,	PUNCT
cana-1289	388	13	r.e	r.e	PROPN
cana-1289	388	14	.	.	PROPN
cana-1289	388	15	(	(	PUNCT
cana-1289	388	16	2002	2002	NUM
cana-1289	388	17	)	)	PUNCT
cana-1289	388	18	.	.	PUNCT
cana-1289	389	1	digital	digital	ADJ
cana-1289	389	2	image	image	NOUN
cana-1289	389	3	processing	processing	NOUN
cana-1289	389	4	(	(	PUNCT
cana-1289	389	5	2nd	2nd	PROPN
cana-1289	389	6	edition	edition	NOUN
cana-1289	389	7	)	)	PUNCT
cana-1289	389	8	.	.	PUNCT
cana-1289	390	1	prentice	prentice	PROPN
cana-1289	390	2	hall	hall	PROPN
cana-1289	390	3	.	.	PUNCT
cana-1289	391	1	[	[	X
cana-1289	391	2	28	28	NUM
cana-1289	391	3	]	]	X
cana-1289	391	4	goodfellow	goodfellow	PROPN
cana-1289	391	5	,	,	PUNCT
cana-1289	391	6	i.	i.	PROPN
cana-1289	391	7	,	,	PUNCT
cana-1289	391	8	bengio	bengio	PROPN
cana-1289	391	9	,	,	PUNCT
cana-1289	391	10	y.	y.	PROPN
cana-1289	391	11	,	,	PUNCT
cana-1289	391	12	&	&	CCONJ
cana-1289	391	13	courville	courville	PROPN
cana-1289	391	14	,	,	PUNCT
cana-1289	391	15	a.	a.	NOUN
cana-1289	391	16	(	(	PUNCT
cana-1289	391	17	2016	2016	NUM
cana-1289	391	18	)	)	PUNCT
cana-1289	391	19	.	.	PUNCT
cana-1289	392	1	deep	deep	ADJ
cana-1289	392	2	learning	learning	NOUN
cana-1289	392	3	.	.	PUNCT
cana-1289	393	1	mit	mit	PROPN
cana-1289	393	2	press	press	NOUN
cana-1289	393	3	.	.	PUNCT
cana-1289	394	1	[	[	X
cana-1289	394	2	29	29	NUM
cana-1289	394	3	]	]	X
cana-1289	394	4	manning	manning	NOUN
cana-1289	394	5	,	,	PUNCT
cana-1289	394	6	c.d	c.d	PROPN
cana-1289	394	7	.	.	PROPN
cana-1289	394	8	,	,	PUNCT
cana-1289	394	9	raghavan	raghavan	PROPN
cana-1289	394	10	,	,	PUNCT
cana-1289	394	11	p.	p.	PROPN
cana-1289	394	12	,	,	PUNCT
cana-1289	394	13	&	&	CCONJ
cana-1289	394	14	schütze	schütze	PROPN
cana-1289	394	15	,	,	PUNCT
cana-1289	394	16	h.	h.	PROPN
cana-1289	394	17	(	(	PUNCT
cana-1289	394	18	2008	2008	NUM
cana-1289	394	19	)	)	PUNCT
cana-1289	394	20	.	.	PUNCT
cana-1289	395	1	introduction	introduction	NOUN
cana-1289	395	2	to	to	ADP
cana-1289	395	3	information	information	NOUN
cana-1289	395	4	retrieval	retrieval	NOUN
cana-1289	395	5	.	.	PUNCT
cana-1289	396	1	cambridge	cambridge	PROPN
cana-1289	396	2	university	university	PROPN
cana-1289	396	3	press	press	NOUN
cana-1289	396	4	.	.	PUNCT
cana-1289	397	1	[	[	X
cana-1289	397	2	30	30	NUM
cana-1289	397	3	]	]	X
cana-1289	397	4	mikolov	mikolov	NOUN
cana-1289	397	5	,	,	PUNCT
cana-1289	397	6	t.	t.	PROPN
cana-1289	397	7	,	,	PUNCT
cana-1289	397	8	et	et	PROPN
cana-1289	397	9	al	al	PROPN
cana-1289	397	10	.	.	PROPN
cana-1289	398	1	(	(	PUNCT
cana-1289	398	2	2013	2013	NUM
cana-1289	398	3	)	)	PUNCT
cana-1289	398	4	.	.	PUNCT
cana-1289	399	1	distributed	distribute	VERB
cana-1289	399	2	representations	representation	NOUN
cana-1289	399	3	of	of	ADP
cana-1289	399	4	words	word	NOUN
cana-1289	399	5	and	and	CCONJ
cana-1289	399	6	phrases	phrase	NOUN
cana-1289	399	7	and	and	CCONJ
cana-1289	399	8	their	their	PRON
cana-1289	399	9	compositionality	compositionality	NOUN
cana-1289	399	10	.	.	PUNCT
cana-1289	400	1	nips	nip	NOUN
cana-1289	400	2	.	.	PUNCT
cana-1289	401	1	[	[	X
cana-1289	401	2	31	31	NUM
cana-1289	401	3	]	]	X
cana-1289	401	4	dumoulin	dumoulin	NOUN
cana-1289	401	5	,	,	PUNCT
cana-1289	401	6	v.	v.	ADV
cana-1289	401	7	,	,	PUNCT
cana-1289	401	8	&	&	CCONJ
cana-1289	401	9	visin	visin	PROPN
cana-1289	401	10	,	,	PUNCT
cana-1289	401	11	f.	f.	PROPN
cana-1289	401	12	(	(	PUNCT
cana-1289	401	13	2016	2016	NUM
cana-1289	401	14	)	)	PUNCT
cana-1289	401	15	.	.	PUNCT
cana-1289	402	1	a	a	DET
cana-1289	402	2	guide	guide	NOUN
cana-1289	402	3	to	to	PART
cana-1289	402	4	convolution	convolution	VERB
cana-1289	402	5	arithmetic	arithmetic	ADJ
cana-1289	402	6	for	for	ADP
cana-1289	402	7	deep	deep	ADJ
cana-1289	402	8	learning	learning	NOUN
cana-1289	402	9	.	.	PUNCT
cana-1289	403	1	arxiv	arxiv	PROPN
cana-1289	403	2	preprint	preprint	PROPN
cana-1289	403	3	arxiv:1603.07285	arxiv:1603.07285	NUM
cana-1289	403	4	.	.	PUNCT
cana-1289	404	1	[	[	X
cana-1289	404	2	32	32	NUM
cana-1289	404	3	]	]	PUNCT
cana-1289	404	4	leskovec	leskovec	PROPN
cana-1289	404	5	,	,	PUNCT
cana-1289	404	6	j.	j.	PROPN
cana-1289	404	7	,	,	PUNCT
cana-1289	404	8	rajaraman	rajaraman	NOUN
cana-1289	404	9	,	,	PUNCT
cana-1289	404	10	a.	a.	NOUN
cana-1289	404	11	,	,	PUNCT
cana-1289	404	12	&	&	CCONJ
cana-1289	404	13	ullman	ullman	PROPN
cana-1289	404	14	,	,	PUNCT
cana-1289	404	15	j.d	j.d	PROPN
cana-1289	404	16	.	.	PROPN
cana-1289	404	17	(	(	PUNCT
cana-1289	404	18	2014	2014	NUM
cana-1289	404	19	)	)	PUNCT
cana-1289	404	20	.	.	PUNCT
cana-1289	405	1	mining	mining	NOUN
cana-1289	405	2	of	of	ADP
cana-1289	405	3	massive	massive	ADJ
cana-1289	405	4	datasets	dataset	NOUN
cana-1289	405	5	.	.	PUNCT
cana-1289	406	1	cambridge	cambridge	PROPN
cana-1289	406	2	university	university	PROPN
cana-1289	406	3	press	press	NOUN
cana-1289	406	4	.	.	PUNCT
cana-1289	407	1	[	[	X
cana-1289	407	2	33	33	NUM
cana-1289	407	3	]	]	X
cana-1289	407	4	krizhevsky	krizhevsky	NOUN
cana-1289	407	5	,	,	PUNCT
cana-1289	407	6	a.	a.	NOUN
cana-1289	407	7	,	,	PUNCT
cana-1289	407	8	sutskever	sutskever	PROPN
cana-1289	407	9	,	,	PUNCT
cana-1289	407	10	i.	i.	PROPN
cana-1289	407	11	,	,	PUNCT
cana-1289	407	12	&	&	CCONJ
cana-1289	407	13	hinton	hinton	PROPN
cana-1289	407	14	,	,	PUNCT
cana-1289	407	15	g.e	g.e	PROPN
cana-1289	407	16	.	.	PUNCT
cana-1289	407	17	(	(	PUNCT
cana-1289	407	18	2012	2012	NUM
cana-1289	407	19	)	)	PUNCT
cana-1289	407	20	.	.	PUNCT
cana-1289	408	1	imagenet	imagenet	PROPN
cana-1289	408	2	classification	classification	NOUN
cana-1289	408	3	with	with	ADP
cana-1289	408	4	deep	deep	ADJ
cana-1289	408	5	convolutional	convolutional	ADJ
cana-1289	408	6	neural	neural	ADJ
cana-1289	408	7	networks	network	NOUN
cana-1289	408	8	.	.	PUNCT
cana-1289	409	1	nips	nip	NOUN
cana-1289	409	2	.	.	PUNCT
cana-1289	410	1	[	[	X
cana-1289	410	2	34	34	NUM
cana-1289	410	3	]	]	PUNCT
cana-1289	410	4	nair	nair	NOUN
cana-1289	410	5	,	,	PUNCT
cana-1289	410	6	v.	v.	PROPN
cana-1289	410	7	,	,	PUNCT
cana-1289	410	8	&	&	CCONJ
cana-1289	410	9	hinton	hinton	PROPN
cana-1289	410	10	,	,	PUNCT
cana-1289	410	11	g.e	g.e	PROPN
cana-1289	410	12	.	.	PUNCT
cana-1289	410	13	(	(	PUNCT
cana-1289	410	14	2010	2010	NUM
cana-1289	410	15	)	)	PUNCT
cana-1289	410	16	.	.	PUNCT
cana-1289	411	1	rectified	rectify	VERB
cana-1289	411	2	linear	linear	PROPN
cana-1289	411	3	units	unit	NOUN
cana-1289	411	4	improve	improve	VERB
cana-1289	411	5	restricted	restrict	VERB
cana-1289	411	6	boltzmann	boltzmann	PROPN
cana-1289	411	7	machines	machine	NOUN
cana-1289	411	8	.	.	PUNCT
cana-1289	412	1	icml	icml	PROPN
cana-1289	412	2	.	.	PUNCT
cana-1289	413	1	[	[	X
cana-1289	413	2	35	35	NUM
cana-1289	413	3	]	]	SYM
cana-1289	413	4	vaswani	vaswani	NOUN
cana-1289	413	5	,	,	PUNCT
cana-1289	413	6	a.	a.	NOUN
cana-1289	413	7	,	,	PUNCT
cana-1289	413	8	et	et	PROPN
cana-1289	413	9	al	al	PROPN
cana-1289	413	10	.	.	PUNCT
cana-1289	413	11	(	(	PUNCT
cana-1289	413	12	2017	2017	NUM
cana-1289	413	13	)	)	PUNCT
cana-1289	413	14	.	.	PUNCT
cana-1289	414	1	attention	attention	NOUN
cana-1289	414	2	is	be	AUX
cana-1289	414	3	all	all	PRON
cana-1289	414	4	you	you	PRON
cana-1289	414	5	need	need	VERB
cana-1289	414	6	.	.	PUNCT
cana-1289	415	1	nips	nip	NOUN
cana-1289	415	2	.	.	PUNCT
cana-1289	416	1	[	[	X
cana-1289	416	2	36	36	NUM
cana-1289	416	3	]	]	X
cana-1289	416	4	he	he	PRON
cana-1289	416	5	,	,	PUNCT
cana-1289	416	6	k.	k.	PROPN
cana-1289	416	7	,	,	PUNCT
cana-1289	416	8	zhang	zhang	PROPN
cana-1289	416	9	,	,	PUNCT
cana-1289	416	10	x.	x.	PROPN
cana-1289	416	11	,	,	PUNCT
cana-1289	416	12	ren	ren	PROPN
cana-1289	416	13	,	,	PUNCT
cana-1289	416	14	s.	s.	PROPN
cana-1289	416	15	,	,	PUNCT
cana-1289	416	16	&	&	CCONJ
cana-1289	416	17	sun	sun	PROPN
cana-1289	416	18	,	,	PUNCT
cana-1289	416	19	j.	j.	PROPN
cana-1289	416	20	(	(	PUNCT
cana-1289	416	21	2016	2016	NUM
cana-1289	416	22	)	)	PUNCT
cana-1289	416	23	.	.	PUNCT
cana-1289	417	1	deep	deep	ADJ
cana-1289	417	2	residual	residual	ADJ
cana-1289	417	3	learning	learning	NOUN
cana-1289	417	4	for	for	ADP
cana-1289	417	5	image	image	NOUN
cana-1289	417	6	recognition	recognition	NOUN
cana-1289	417	7	.	.	PUNCT
cana-1289	418	1	cvpr	cvpr	NOUN
cana-1289	418	2	.	.	PUNCT
cana-1289	419	1	[	[	X
cana-1289	419	2	37	37	NUM
cana-1289	419	3	]	]	X
cana-1289	419	4	hochreiter	hochreiter	PROPN
cana-1289	419	5	,	,	PUNCT
cana-1289	419	6	s.	s.	PROPN
cana-1289	419	7	,	,	PUNCT
cana-1289	419	8	&	&	CCONJ
cana-1289	419	9	schmidhuber	schmidhuber	PROPN
cana-1289	419	10	,	,	PUNCT
cana-1289	419	11	j.	j.	PROPN
cana-1289	419	12	(	(	PUNCT
cana-1289	419	13	1997	1997	NUM
cana-1289	419	14	)	)	PUNCT
cana-1289	419	15	.	.	PUNCT
cana-1289	420	1	long	long	ADJ
cana-1289	420	2	short	short	ADJ
cana-1289	420	3	-	-	PUNCT
cana-1289	420	4	term	term	NOUN
cana-1289	420	5	memory	memory	NOUN
cana-1289	420	6	.	.	PUNCT
cana-1289	421	1	neural	neural	ADJ
cana-1289	421	2	computation	computation	NOUN
cana-1289	421	3	.	.	PUNCT
cana-1289	422	1	communications	communication	NOUN
cana-1289	422	2	on	on	ADP
cana-1289	422	3	applied	apply	VERB
cana-1289	422	4	nonlinear	nonlinear	ADJ
cana-1289	422	5	analysis	analysis	NOUN
cana-1289	422	6	issn	issn	NOUN
cana-1289	422	7	:	:	PUNCT
cana-1289	422	8	1074	1074	NUM
cana-1289	422	9	-	-	PUNCT
cana-1289	422	10	133x	133x	NUM
cana-1289	422	11	vol	vol	NOUN
cana-1289	422	12	31	31	NUM
cana-1289	422	13	no	no	NOUN
cana-1289	422	14	.	.	PUNCT
cana-1289	423	1	7s	7	NOUN
cana-1289	423	2	(	(	PUNCT
cana-1289	423	3	2024	2024	NUM
cana-1289	423	4	)	)	PUNCT
cana-1289	423	5	137	137	NUM
cana-1289	423	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1289	424	1	[	[	X
cana-1289	424	2	38	38	NUM
cana-1289	424	3	]	]	PUNCT
cana-1289	424	4	schuster	schuster	NOUN
cana-1289	424	5	,	,	PUNCT
cana-1289	424	6	m.	m.	NOUN
cana-1289	424	7	,	,	PUNCT
cana-1289	424	8	&	&	CCONJ
cana-1289	424	9	paliwal	paliwal	PROPN
cana-1289	424	10	,	,	PUNCT
cana-1289	424	11	k.k	k.k	PROPN
cana-1289	424	12	.	.	PROPN
cana-1289	424	13	(	(	PUNCT
cana-1289	424	14	1997	1997	NUM
cana-1289	424	15	)	)	PUNCT
cana-1289	424	16	.	.	PUNCT
cana-1289	425	1	bidirectional	bidirectional	ADJ
cana-1289	425	2	recurrent	recurrent	ADJ
cana-1289	425	3	neural	neural	ADJ
cana-1289	425	4	networks	network	NOUN
cana-1289	425	5	.	.	PUNCT
cana-1289	426	1	ieee	ieee	NOUN
cana-1289	426	2	transactions	transaction	NOUN
cana-1289	426	3	on	on	ADP
cana-1289	426	4	signal	signal	ADJ
cana-1289	426	5	processing	processing	NOUN
cana-1289	426	6	.	.	PUNCT
cana-1289	427	1	[	[	X
cana-1289	427	2	39	39	NUM
cana-1289	427	3	]	]	PUNCT
cana-1289	427	4	kingma	kingma	PROPN
cana-1289	427	5	,	,	PUNCT
cana-1289	427	6	d.p	d.p	PROPN
cana-1289	427	7	.	.	PROPN
cana-1289	427	8	,	,	PUNCT
cana-1289	427	9	&	&	CCONJ
cana-1289	427	10	welling	well	VERB
cana-1289	427	11	,	,	PUNCT
cana-1289	427	12	m.	m.	NOUN
cana-1289	427	13	(	(	PUNCT
cana-1289	427	14	2014	2014	NUM
cana-1289	427	15	)	)	PUNCT
cana-1289	427	16	.	.	PUNCT
cana-1289	428	1	auto	auto	NOUN
cana-1289	428	2	-	-	PUNCT
cana-1289	428	3	encoding	encode	VERB
cana-1289	428	4	variational	variational	ADJ
cana-1289	428	5	bayes	baye	NOUN
cana-1289	428	6	.	.	PUNCT
cana-1289	429	1	iclr	iclr	NOUN
cana-1289	429	2	.	.	PUNCT
cana-1289	430	1	[	[	X
cana-1289	430	2	40	40	NUM
cana-1289	430	3	]	]	X
cana-1289	430	4	hinton	hinton	PROPN
cana-1289	430	5	,	,	PUNCT
cana-1289	430	6	g.e	g.e	PROPN
cana-1289	430	7	.	.	PROPN
cana-1289	430	8	,	,	PUNCT
cana-1289	430	9	&	&	CCONJ
cana-1289	430	10	salakhutdinov	salakhutdinov	PROPN
cana-1289	430	11	,	,	PUNCT
cana-1289	430	12	r.r	r.r	PROPN
cana-1289	430	13	.	.	PROPN
cana-1289	430	14	(	(	PUNCT
cana-1289	430	15	2006	2006	NUM
cana-1289	430	16	)	)	PUNCT
cana-1289	430	17	.	.	PUNCT
cana-1289	431	1	reducing	reduce	VERB
cana-1289	431	2	the	the	DET
cana-1289	431	3	dimensionality	dimensionality	NOUN
cana-1289	431	4	of	of	ADP
cana-1289	431	5	data	datum	NOUN
cana-1289	431	6	with	with	ADP
cana-1289	431	7	neural	neural	ADJ
cana-1289	431	8	networks	network	NOUN
cana-1289	431	9	.	.	PUNCT
cana-1289	432	1	science	science	NOUN
cana-1289	432	2	.	.	PUNCT
cana-1289	433	1	[	[	X
cana-1289	433	2	41	41	NUM
cana-1289	433	3	]	]	X
cana-1289	433	4	kohavi	kohavi	PROPN
cana-1289	433	5	,	,	PUNCT
cana-1289	433	6	r.	r.	PROPN
cana-1289	433	7	(	(	PUNCT
cana-1289	433	8	1995	1995	NUM
cana-1289	433	9	)	)	PUNCT
cana-1289	433	10	.	.	PUNCT
cana-1289	434	1	a	a	DET
cana-1289	434	2	study	study	NOUN
cana-1289	434	3	of	of	ADP
cana-1289	434	4	cross	cross	ADJ
cana-1289	434	5	-	-	ADJ
cana-1289	434	6	validation	validation	NOUN
cana-1289	434	7	and	and	CCONJ
cana-1289	434	8	bootstrap	bootstrap	NOUN
cana-1289	434	9	for	for	ADP
cana-1289	434	10	accuracy	accuracy	NOUN
cana-1289	434	11	estimation	estimation	NOUN
cana-1289	434	12	and	and	CCONJ
cana-1289	434	13	model	model	NOUN
cana-1289	434	14	selection	selection	NOUN
cana-1289	434	15	.	.	PUNCT
cana-1289	435	1	ijcai	ijcai	PROPN
cana-1289	435	2	.	.	PUNCT
cana-1289	436	1	[	[	X
cana-1289	436	2	42	42	NUM
cana-1289	436	3	]	]	SYM
cana-1289	436	4	lecun	lecun	ADJ
cana-1289	436	5	,	,	PUNCT
cana-1289	436	6	y.	y.	PROPN
cana-1289	436	7	,	,	PUNCT
cana-1289	436	8	bottou	bottou	PROPN
cana-1289	436	9	,	,	PUNCT
cana-1289	436	10	l.	l.	PROPN
cana-1289	436	11	,	,	PUNCT
cana-1289	436	12	orr	orr	PROPN
cana-1289	436	13	,	,	PUNCT
cana-1289	436	14	g.b	g.b	PROPN
cana-1289	436	15	.	.	PROPN
cana-1289	436	16	,	,	PUNCT
cana-1289	436	17	&	&	CCONJ
cana-1289	436	18	müller	müller	PROPN
cana-1289	436	19	,	,	PUNCT
cana-1289	436	20	k.r	k.r	PROPN
cana-1289	436	21	.	.	PROPN
cana-1289	436	22	(	(	PUNCT
cana-1289	436	23	2012	2012	NUM
cana-1289	436	24	)	)	PUNCT
cana-1289	436	25	.	.	PUNCT
cana-1289	437	1	efficient	efficient	ADJ
cana-1289	437	2	backprop	backprop	NOUN
cana-1289	437	3	.	.	PUNCT
cana-1289	438	1	neural	neural	ADJ
cana-1289	438	2	networks	network	NOUN
cana-1289	438	3	:	:	PUNCT
cana-1289	438	4	tricks	trick	NOUN
cana-1289	438	5	of	of	ADP
cana-1289	438	6	the	the	DET
cana-1289	438	7	trade	trade	NOUN
cana-1289	438	8	.	.	PUNCT
cana-1289	439	1	[	[	X
cana-1289	439	2	43	43	NUM
cana-1289	439	3	]	]	X
cana-1289	439	4	bishop	bishop	PROPN
cana-1289	439	5	,	,	PUNCT
cana-1289	439	6	c.m	c.m	PROPN
cana-1289	439	7	.	.	PROPN
cana-1289	439	8	(	(	PUNCT
cana-1289	439	9	2006	2006	NUM
cana-1289	439	10	)	)	PUNCT
cana-1289	439	11	.	.	PUNCT
cana-1289	440	1	pattern	pattern	NOUN
cana-1289	440	2	recognition	recognition	NOUN
cana-1289	440	3	and	and	CCONJ
cana-1289	440	4	machine	machine	NOUN
cana-1289	440	5	learning	learning	NOUN
cana-1289	440	6	.	.	PUNCT
cana-1289	441	1	springer	springer	NOUN
cana-1289	441	2	.	.	PUNCT
cana-1289	442	1	[	[	X
cana-1289	442	2	44	44	NUM
cana-1289	442	3	]	]	X
cana-1289	442	4	murphy	murphy	PROPN
cana-1289	442	5	,	,	PUNCT
cana-1289	442	6	k.p	k.p	PROPN
cana-1289	442	7	.	.	PROPN
cana-1289	442	8	(	(	PUNCT
cana-1289	442	9	2012	2012	NUM
cana-1289	442	10	)	)	PUNCT
cana-1289	442	11	.	.	PUNCT
cana-1289	443	1	machine	machine	NOUN
cana-1289	443	2	learning	learning	NOUN
cana-1289	443	3	:	:	PUNCT
cana-1289	443	4	a	a	DET
cana-1289	443	5	probabilistic	probabilistic	ADJ
cana-1289	443	6	perspective	perspective	NOUN
cana-1289	443	7	.	.	PUNCT
cana-1289	444	1	mit	mit	PROPN
cana-1289	444	2	press	press	NOUN
cana-1289	444	3	.	.	PUNCT
cana-1289	445	1	[	[	X
cana-1289	445	2	45	45	NUM
cana-1289	445	3	]	]	SYM
cana-1289	445	4	kingma	kingma	PROPN
cana-1289	445	5	,	,	PUNCT
cana-1289	445	6	d.	d.	PROPN
cana-1289	445	7	,	,	PUNCT
cana-1289	445	8	&	&	CCONJ
cana-1289	445	9	ba	ba	PROPN
cana-1289	445	10	,	,	PUNCT
cana-1289	445	11	j.	j.	PROPN
cana-1289	445	12	(	(	PUNCT
cana-1289	445	13	2015	2015	NUM
cana-1289	445	14	)	)	PUNCT
cana-1289	445	15	.	.	PUNCT
cana-1289	446	1	adam	adam	PROPN
cana-1289	446	2	:	:	PUNCT
cana-1289	446	3	a	a	DET
cana-1289	446	4	method	method	NOUN
cana-1289	446	5	for	for	ADP
cana-1289	446	6	stochastic	stochastic	ADJ
cana-1289	446	7	optimization	optimization	NOUN
cana-1289	446	8	.	.	PUNCT
cana-1289	447	1	iclr	iclr	NOUN
cana-1289	447	2	.	.	PUNCT
cana-1289	448	1	[	[	X
cana-1289	448	2	46	46	NUM
cana-1289	448	3	]	]	X
cana-1289	448	4	srivastava	srivastava	PROPN
cana-1289	448	5	,	,	PUNCT
cana-1289	448	6	n.	n.	PROPN
cana-1289	448	7	,	,	PUNCT
cana-1289	448	8	et	et	PROPN
cana-1289	448	9	al	al	PROPN
cana-1289	448	10	.	.	PUNCT
cana-1289	448	11	(	(	PUNCT
cana-1289	448	12	2014	2014	NUM
cana-1289	448	13	)	)	PUNCT
cana-1289	448	14	.	.	PUNCT
cana-1289	449	1	dropout	dropout	NOUN
cana-1289	449	2	:	:	PUNCT
cana-1289	449	3	a	a	DET
cana-1289	449	4	simple	simple	ADJ
cana-1289	449	5	way	way	NOUN
cana-1289	449	6	to	to	PART
cana-1289	449	7	prevent	prevent	VERB
cana-1289	449	8	neural	neural	ADJ
cana-1289	449	9	networks	network	NOUN
cana-1289	449	10	from	from	ADP
cana-1289	449	11	overfitting	overfitte	VERB
cana-1289	449	12	.	.	PUNCT
cana-1289	450	1	jmlr	jmlr	ADJ
cana-1289	450	2	.	.	PUNCT
cana-1289	451	1	[	[	X
cana-1289	451	2	47	47	NUM
cana-1289	451	3	]	]	X
cana-1289	451	4	prechelt	prechelt	NOUN
cana-1289	451	5	,	,	PUNCT
cana-1289	451	6	l.	l.	PROPN
cana-1289	451	7	(	(	PUNCT
cana-1289	451	8	1998	1998	NUM
cana-1289	451	9	)	)	PUNCT
cana-1289	451	10	.	.	PUNCT
cana-1289	452	1	early	early	ADJ
cana-1289	452	2	stopping	stopping	NOUN
cana-1289	452	3	but	but	CCONJ
cana-1289	452	4	when	when	SCONJ
cana-1289	452	5	?	?	PUNCT
cana-1289	453	1	neural	neural	ADJ
cana-1289	453	2	networks	network	NOUN
cana-1289	453	3	:	:	PUNCT
cana-1289	453	4	tricks	trick	NOUN
cana-1289	453	5	of	of	ADP
cana-1289	453	6	the	the	DET
cana-1289	453	7	trade	trade	NOUN
cana-1289	453	8	.	.	PUNCT
cana-1289	454	1	[	[	X
cana-1289	454	2	48	48	NUM
cana-1289	454	3	]	]	X
cana-1289	454	4	abadi	abadi	PROPN
cana-1289	454	5	,	,	PUNCT
cana-1289	454	6	m.	m.	NOUN
cana-1289	454	7	,	,	PUNCT
cana-1289	454	8	et	et	PROPN
cana-1289	454	9	al	al	PROPN
cana-1289	454	10	.	.	PUNCT
cana-1289	455	1	(	(	PUNCT
cana-1289	455	2	2016	2016	NUM
cana-1289	455	3	)	)	PUNCT
cana-1289	455	4	.	.	PUNCT
cana-1289	456	1	tensorflow	tensorflow	NOUN
cana-1289	456	2	:	:	PUNCT
cana-1289	456	3	a	a	DET
cana-1289	456	4	system	system	NOUN
cana-1289	456	5	for	for	ADP
cana-1289	456	6	large	large	ADJ
cana-1289	456	7	-	-	PUNCT
cana-1289	456	8	scale	scale	NOUN
cana-1289	456	9	machine	machine	NOUN
cana-1289	456	10	learning	learning	NOUN
cana-1289	456	11	.	.	PUNCT
cana-1289	457	1	osdi	osdi	NOUN
cana-1289	457	2	.	.	PUNCT
cana-1289	458	1	[	[	X
cana-1289	458	2	49	49	NUM
cana-1289	458	3	]	]	PUNCT
cana-1289	458	4	paszke	paszke	NOUN
cana-1289	458	5	,	,	PUNCT
cana-1289	458	6	a.	a.	NOUN
cana-1289	458	7	,	,	PUNCT
cana-1289	458	8	et	et	PROPN
cana-1289	458	9	al	al	PROPN
cana-1289	458	10	.	.	PROPN
cana-1289	458	11	(	(	PUNCT
cana-1289	458	12	2019	2019	NUM
cana-1289	458	13	)	)	PUNCT
cana-1289	458	14	.	.	PUNCT
cana-1289	459	1	pytorch	pytorch	NOUN
cana-1289	459	2	:	:	PUNCT
cana-1289	459	3	an	an	DET
cana-1289	459	4	imperative	imperative	ADJ
cana-1289	459	5	style	style	NOUN
cana-1289	459	6	,	,	PUNCT
cana-1289	459	7	high	high	ADJ
cana-1289	459	8	-	-	PUNCT
cana-1289	459	9	performance	performance	NOUN
cana-1289	459	10	deep	deep	ADJ
cana-1289	459	11	learning	learn	VERB
cana-1289	459	12	library	library	NOUN
cana-1289	459	13	.	.	PUNCT
cana-1289	460	1	neurips	neurip	NOUN
cana-1289	460	2	.	.	PUNCT
cana-1289	461	1	[	[	X
cana-1289	461	2	50	50	NUM
cana-1289	461	3	]	]	PUNCT
cana-1289	461	4	nickolls	nickoll	NOUN
cana-1289	461	5	,	,	PUNCT
cana-1289	461	6	j.	j.	PROPN
cana-1289	461	7	,	,	PUNCT
cana-1289	461	8	et	et	PROPN
cana-1289	461	9	al	al	PROPN
cana-1289	461	10	.	.	PUNCT
cana-1289	461	11	(	(	PUNCT
cana-1289	461	12	2008	2008	NUM
cana-1289	461	13	)	)	PUNCT
cana-1289	461	14	.	.	PUNCT
cana-1289	462	1	scalable	scalable	ADJ
cana-1289	462	2	parallel	parallel	ADJ
cana-1289	462	3	programming	programming	NOUN
cana-1289	462	4	with	with	ADP
cana-1289	462	5	cuda	cuda	NOUN
cana-1289	462	6	.	.	PUNCT
cana-1289	463	1	queue	queue	NOUN
cana-1289	463	2	.	.	PUNCT
cana-1289	464	1	[	[	X
cana-1289	464	2	51	51	NUM
cana-1289	464	3	]	]	PUNCT
cana-1289	464	4	glorot	glorot	NOUN
cana-1289	464	5	,	,	PUNCT
cana-1289	464	6	x.	x.	NOUN
cana-1289	464	7	,	,	PUNCT
cana-1289	464	8	&	&	CCONJ
cana-1289	464	9	bengio	bengio	PROPN
cana-1289	464	10	,	,	PUNCT
cana-1289	464	11	y.	y.	PROPN
cana-1289	464	12	(	(	PUNCT
cana-1289	464	13	2010	2010	NUM
cana-1289	464	14	)	)	PUNCT
cana-1289	464	15	.	.	PUNCT
cana-1289	465	1	understanding	understand	VERB
cana-1289	465	2	the	the	DET
cana-1289	465	3	difficulty	difficulty	NOUN
cana-1289	465	4	of	of	ADP
cana-1289	465	5	training	train	VERB
cana-1289	465	6	deep	deep	ADJ
cana-1289	465	7	feedforward	feedforward	NOUN
cana-1289	465	8	neural	neural	ADJ
cana-1289	465	9	networks	network	NOUN
cana-1289	465	10	.	.	PUNCT
cana-1289	466	1	aistats	aistat	NOUN
cana-1289	466	2	.	.	PUNCT
cana-1289	467	1	[	[	X
cana-1289	467	2	52	52	NUM
cana-1289	467	3	]	]	SYM
cana-1289	467	4	smith	smith	PROPN
cana-1289	467	5	,	,	PUNCT
cana-1289	467	6	l.	l.	PROPN
cana-1289	467	7	n.	n.	PROPN
cana-1289	467	8	(	(	PUNCT
cana-1289	467	9	2017	2017	NUM
cana-1289	467	10	)	)	PUNCT
cana-1289	467	11	.	.	PUNCT
cana-1289	468	1	cyclical	cyclical	ADJ
cana-1289	468	2	learning	learning	NOUN
cana-1289	468	3	rates	rate	NOUN
cana-1289	468	4	for	for	ADP
cana-1289	468	5	training	train	VERB
cana-1289	468	6	neural	neural	ADJ
cana-1289	468	7	networks	network	NOUN
cana-1289	468	8	.	.	PUNCT
cana-1289	469	1	wacv	wacv	ADJ
cana-1289	469	2	.	.	PUNCT
cana-1289	470	1	[	[	X
cana-1289	470	2	53	53	NUM
cana-1289	470	3	]	]	PUNCT
cana-1289	470	4	kingma	kingma	PROPN
cana-1289	470	5	,	,	PUNCT
cana-1289	470	6	d.	d.	PROPN
cana-1289	470	7	p.	p.	PROPN
cana-1289	470	8	,	,	PUNCT
cana-1289	470	9	&	&	CCONJ
cana-1289	470	10	ba	ba	PROPN
cana-1289	470	11	,	,	PUNCT
cana-1289	470	12	j.	j.	PROPN
cana-1289	470	13	(	(	PUNCT
cana-1289	470	14	2014	2014	NUM
cana-1289	470	15	)	)	PUNCT
cana-1289	470	16	.	.	PUNCT
cana-1289	471	1	adam	adam	PROPN
cana-1289	471	2	:	:	PUNCT
cana-1289	471	3	a	a	DET
cana-1289	471	4	method	method	NOUN
cana-1289	471	5	for	for	ADP
cana-1289	471	6	stochastic	stochastic	ADJ
cana-1289	471	7	optimization	optimization	NOUN
cana-1289	471	8	.	.	PUNCT
cana-1289	472	1	iclr	iclr	NOUN
cana-1289	472	2	.	.	PUNCT
cana-1289	473	1	[	[	X
cana-1289	473	2	54	54	NUM
cana-1289	473	3	]	]	X
cana-1289	473	4	van	van	PROPN
cana-1289	473	5	rijsbergen	rijsbergen	PROPN
cana-1289	473	6	,	,	PUNCT
cana-1289	473	7	c.	c.	PROPN
cana-1289	473	8	j.	j.	PROPN
cana-1289	473	9	(	(	PUNCT
cana-1289	473	10	1979	1979	NUM
cana-1289	473	11	)	)	PUNCT
cana-1289	473	12	.	.	PUNCT
cana-1289	474	1	information	information	NOUN
cana-1289	474	2	retrieval	retrieval	NOUN
cana-1289	474	3	(	(	PUNCT
cana-1289	474	4	2nd	2nd	ADJ
cana-1289	474	5	ed	ed	NOUN
cana-1289	474	6	.	.	PUNCT
cana-1289	474	7	)	)	PUNCT
cana-1289	474	8	.	.	PUNCT
cana-1289	475	1	butterworth	butterworth	PROPN
cana-1289	475	2	.	.	PUNCT
cana-1289	476	1	[	[	X
cana-1289	476	2	55	55	NUM
cana-1289	476	3	]	]	X
cana-1289	476	4	sarwar	sarwar	PROPN
cana-1289	476	5	,	,	PUNCT
cana-1289	476	6	b.	b.	PROPN
cana-1289	476	7	,	,	PUNCT
cana-1289	476	8	et	et	PROPN
cana-1289	476	9	al	al	PROPN
cana-1289	476	10	.	.	PUNCT
cana-1289	476	11	(	(	PUNCT
cana-1289	476	12	2001	2001	NUM
cana-1289	476	13	)	)	PUNCT
cana-1289	476	14	.	.	PUNCT
cana-1289	477	1	item	item	NOUN
cana-1289	477	2	-	-	PUNCT
cana-1289	477	3	based	base	VERB
cana-1289	477	4	collaborative	collaborative	ADJ
cana-1289	477	5	filtering	filtering	NOUN
cana-1289	477	6	recommendation	recommendation	NOUN
cana-1289	477	7	algorithms	algorithm	NOUN
cana-1289	477	8	.	.	PUNCT
cana-1289	478	1	www	www	NOUN
cana-1289	478	2	.	.	PUNCT
cana-1289	479	1	[	[	X
cana-1289	479	2	56	56	NUM
cana-1289	479	3	]	]	PUNCT
cana-1289	479	4	lops	lop	NOUN
cana-1289	479	5	,	,	PUNCT
cana-1289	479	6	p.	p.	PROPN
cana-1289	479	7	,	,	PUNCT
cana-1289	479	8	et	et	PROPN
cana-1289	479	9	al	al	PROPN
cana-1289	479	10	.	.	PUNCT
cana-1289	480	1	(	(	PUNCT
cana-1289	480	2	2011	2011	NUM
cana-1289	480	3	)	)	PUNCT
cana-1289	480	4	.	.	PUNCT
cana-1289	481	1	content	content	NOUN
cana-1289	481	2	-	-	PUNCT
cana-1289	481	3	based	base	VERB
cana-1289	481	4	recommender	recommender	NOUN
cana-1289	481	5	systems	system	NOUN
cana-1289	481	6	:	:	PUNCT
cana-1289	481	7	state	state	NOUN
cana-1289	481	8	of	of	ADP
cana-1289	481	9	the	the	DET
cana-1289	481	10	art	art	NOUN
cana-1289	481	11	and	and	CCONJ
cana-1289	481	12	trends	trend	NOUN
cana-1289	481	13	.	.	PUNCT
cana-1289	482	1	recommender	recommender	NOUN
cana-1289	482	2	systems	systems	PROPN
cana-1289	482	3	handbook	handbook	NOUN
cana-1289	482	4	.	.	PUNCT
cana-1289	483	1	[	[	X
cana-1289	483	2	57	57	NUM
cana-1289	483	3	]	]	X
cana-1289	483	4	krizhevsky	krizhevsky	NOUN
cana-1289	483	5	,	,	PUNCT
cana-1289	483	6	a.	a.	PROPN
cana-1289	483	7	,	,	PUNCT
cana-1289	483	8	et	et	PROPN
cana-1289	483	9	al	al	PROPN
cana-1289	483	10	.	.	PUNCT
cana-1289	483	11	(	(	PUNCT
cana-1289	483	12	2012	2012	NUM
cana-1289	483	13	)	)	PUNCT
cana-1289	483	14	.	.	PUNCT
cana-1289	484	1	imagenet	imagenet	PROPN
cana-1289	484	2	classification	classification	NOUN
cana-1289	484	3	with	with	ADP
cana-1289	484	4	deep	deep	ADJ
cana-1289	484	5	convolutional	convolutional	ADJ
cana-1289	484	6	neural	neural	ADJ
cana-1289	484	7	networks	network	NOUN
cana-1289	484	8	.	.	PUNCT
cana-1289	485	1	nips	nip	NOUN
cana-1289	485	2	.	.	PUNCT
cana-1289	486	1	[	[	X
cana-1289	486	2	58	58	NUM
cana-1289	486	3	]	]	X
cana-1289	486	4	hochreiter	hochreiter	PROPN
cana-1289	486	5	,	,	PUNCT
cana-1289	486	6	s.	s.	PROPN
cana-1289	486	7	,	,	PUNCT
cana-1289	486	8	&	&	CCONJ
cana-1289	486	9	schmidhuber	schmidhuber	PROPN
cana-1289	486	10	,	,	PUNCT
cana-1289	486	11	j.	j.	PROPN
cana-1289	486	12	(	(	PUNCT
cana-1289	486	13	1997	1997	NUM
cana-1289	486	14	)	)	PUNCT
cana-1289	486	15	.	.	PUNCT
cana-1289	487	1	long	long	ADJ
cana-1289	487	2	short	short	ADJ
cana-1289	487	3	-	-	PUNCT
cana-1289	487	4	term	term	NOUN
cana-1289	487	5	memory	memory	NOUN
cana-1289	487	6	.	.	PUNCT
cana-1289	488	1	neural	neural	ADJ
cana-1289	488	2	computation	computation	NOUN
cana-1289	488	3	.	.	PUNCT
cana-1289	489	1	[	[	X
cana-1289	489	2	59	59	NUM
cana-1289	489	3	]	]	X
cana-1289	489	4	hinton	hinton	PROPN
cana-1289	489	5	,	,	PUNCT
cana-1289	489	6	g.	g.	PROPN
cana-1289	489	7	e.	e.	PROPN
cana-1289	489	8	,	,	PUNCT
cana-1289	489	9	&	&	CCONJ
cana-1289	489	10	salakhutdinov	salakhutdinov	PROPN
cana-1289	489	11	,	,	PUNCT
cana-1289	489	12	r.	r.	PROPN
cana-1289	489	13	r.	r.	PROPN
cana-1289	489	14	(	(	PUNCT
cana-1289	489	15	2006	2006	NUM
cana-1289	489	16	)	)	PUNCT
cana-1289	489	17	.	.	PUNCT
cana-1289	490	1	reducing	reduce	VERB
cana-1289	490	2	the	the	DET
cana-1289	490	3	dimensionality	dimensionality	NOUN
cana-1289	490	4	of	of	ADP
cana-1289	490	5	data	datum	NOUN
cana-1289	490	6	with	with	ADP
cana-1289	490	7	neural	neural	ADJ
cana-1289	490	8	networks	network	NOUN
cana-1289	490	9	.	.	PUNCT
cana-1289	491	1	science	science	NOUN
cana-1289	491	2	.	.	PUNCT
cana-1289	492	1	[	[	X
cana-1289	492	2	60	60	NUM
cana-1289	492	3	]	]	X
cana-1289	492	4	zhang	zhang	PROPN
cana-1289	492	5	,	,	PUNCT
cana-1289	492	6	s.	s.	PROPN
cana-1289	492	7	,	,	PUNCT
cana-1289	492	8	et	et	PROPN
cana-1289	492	9	al	al	PROPN
cana-1289	492	10	.	.	PROPN
cana-1289	492	11	(	(	PUNCT
cana-1289	492	12	2019	2019	NUM
cana-1289	492	13	)	)	PUNCT
cana-1289	492	14	.	.	PUNCT
cana-1289	493	1	deep	deep	ADJ
cana-1289	493	2	learning	learning	NOUN
cana-1289	493	3	-	-	PUNCT
cana-1289	493	4	based	base	VERB
cana-1289	493	5	recommender	recommender	NOUN
cana-1289	493	6	system	system	NOUN
cana-1289	493	7	:	:	PUNCT
cana-1289	493	8	a	a	DET
cana-1289	493	9	survey	survey	NOUN
cana-1289	493	10	and	and	CCONJ
cana-1289	493	11	new	new	ADJ
cana-1289	493	12	perspectives	perspective	NOUN
cana-1289	493	13	.	.	PUNCT
cana-1289	494	1	acm	acm	PROPN
cana-1289	494	2	computing	computing	NOUN
cana-1289	494	3	surveys	survey	NOUN
cana-1289	494	4	.	.	PUNCT