id	sid	tid	token	lemma	pos
cana-1059	1	1	communications	communication	NOUN
cana-1059	1	2	on	on	ADP
cana-1059	1	3	applied	apply	VERB
cana-1059	1	4	nonlinear	nonlinear	ADJ
cana-1059	1	5	analysis	analysis	NOUN
cana-1059	1	6	issn	issn	NOUN
cana-1059	1	7	:	:	PUNCT
cana-1059	1	8	1074	1074	NUM
cana-1059	1	9	-	-	PUNCT
cana-1059	1	10	133x	133x	NUM
cana-1059	1	11	vol	vol	NOUN
cana-1059	1	12	31	31	NUM
cana-1059	1	13	no	no	NOUN
cana-1059	1	14	.	.	PUNCT
cana-1059	2	1	5s	5s	NUM
cana-1059	2	2	(	(	PUNCT
cana-1059	2	3	2024	2024	NUM
cana-1059	2	4	)	)	PUNCT
cana-1059	2	5	398	398	NUM
cana-1059	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	2	7	arrn	arrn	ADV
cana-1059	2	8	:	:	PUNCT
cana-1059	2	9	leveraging	leverage	VERB
cana-1059	2	10	demographic	demographic	ADJ
cana-1059	2	11	context	context	NOUN
cana-1059	2	12	for	for	ADP
cana-1059	2	13	improved	improve	VERB
cana-1059	2	14	semantic	semantic	ADJ
cana-1059	2	15	personalization	personalization	NOUN
cana-1059	2	16	in	in	ADP
cana-1059	2	17	hybrid	hybrid	ADJ
cana-1059	2	18	recommendation	recommendation	NOUN
cana-1059	2	19	systems	system	NOUN
cana-1059	2	20	harshali	harshali	VERB
cana-1059	2	21	bhuwada	bhuwada	PROPN
cana-1059	2	22	,	,	PUNCT
cana-1059	2	23	dr.jagdish.w.bakalb	dr.jagdish.w.bakalb	VERB
cana-1059	2	24	aresearch	aresearch	NOUN
cana-1059	2	25	scholar	scholar	NOUN
cana-1059	2	26	,	,	PUNCT
cana-1059	2	27	thadomal	thadomal	ADJ
cana-1059	2	28	shahani	shahani	NOUN
cana-1059	2	29	engineering	engineering	PROPN
cana-1059	2	30	college	college	PROPN
cana-1059	2	31	,	,	PUNCT
cana-1059	2	32	mumbai	mumbai	PROPN
cana-1059	2	33	,	,	PUNCT
cana-1059	2	34	400050	400050	NUM
cana-1059	2	35	,	,	PUNCT
cana-1059	2	36	maharashtra	maharashtra	PROPN
cana-1059	2	37	,	,	PUNCT
cana-1059	2	38	india	india	PROPN
cana-1059	2	39	bprincipal	bprincipal	PROPN
cana-1059	2	40	,	,	PUNCT
cana-1059	2	41	pillai	pillai	PROPN
cana-1059	2	42	hoc	hoc	PROPN
cana-1059	2	43	college	college	PROPN
cana-1059	2	44	of	of	ADP
cana-1059	2	45	engineering	engineering	NOUN
cana-1059	2	46	technology	technology	NOUN
cana-1059	2	47	,	,	PUNCT
cana-1059	2	48	navi	navi	NOUN
cana-1059	2	49	-	-	PUNCT
cana-1059	2	50	mumbai	mumbai	PROPN
cana-1059	2	51	,	,	PUNCT
cana-1059	2	52	410207	410207	NUM
cana-1059	2	53	,	,	PUNCT
cana-1059	2	54	maharashtra	maharashtra	PROPN
cana-1059	2	55	,	,	PUNCT
cana-1059	2	56	india	india	PROPN
cana-1059	2	57	article	article	PROPN
cana-1059	2	58	history	history	NOUN
cana-1059	2	59	:	:	PUNCT
cana-1059	2	60	received	receive	VERB
cana-1059	2	61	:	:	PUNCT
cana-1059	2	62	10	10	NUM
cana-1059	2	63	-	-	SYM
cana-1059	2	64	05	05	NUM
cana-1059	2	65	-	-	PUNCT
cana-1059	2	66	2024	2024	NUM
cana-1059	2	67	revised	revise	VERB
cana-1059	2	68	:	:	PUNCT
cana-1059	2	69	19	19	NUM
cana-1059	2	70	-	-	PUNCT
cana-1059	2	71	06	06	NUM
cana-1059	2	72	-	-	PUNCT
cana-1059	2	73	2024	2024	NUM
cana-1059	2	74	accepted	accept	VERB
cana-1059	2	75	:	:	PUNCT
cana-1059	2	76	05	05	NUM
cana-1059	2	77	-	-	PUNCT
cana-1059	2	78	07	07	NUM
cana-1059	2	79	-	-	PUNCT
cana-1059	2	80	2024	2024	NUM
cana-1059	2	81	abstract	abstract	NOUN
cana-1059	2	82	:	:	PUNCT
cana-1059	2	83	this	this	DET
cana-1059	2	84	paper	paper	NOUN
cana-1059	2	85	proposes	propose	VERB
cana-1059	2	86	a	a	DET
cana-1059	2	87	novel	novel	ADJ
cana-1059	2	88	recommendation	recommendation	NOUN
cana-1059	2	89	system	system	NOUN
cana-1059	2	90	model	model	NOUN
cana-1059	2	91	,	,	PUNCT
cana-1059	2	92	the	the	DET
cana-1059	2	93	attentive	attentive	ADJ
cana-1059	2	94	recurrent	recurrent	ADJ
cana-1059	2	95	recommender	recommender	NOUN
cana-1059	2	96	network	network	NOUN
cana-1059	2	97	(	(	PUNCT
cana-1059	2	98	arrn	arrn	PROPN
cana-1059	2	99	)	)	PUNCT
cana-1059	2	100	,	,	PUNCT
cana-1059	2	101	that	that	PRON
cana-1059	2	102	addresses	address	VERB
cana-1059	2	103	the	the	DET
cana-1059	2	104	challenge	challenge	NOUN
cana-1059	2	105	of	of	ADP
cana-1059	2	106	incorporating	incorporate	VERB
cana-1059	2	107	demographic	demographic	ADJ
cana-1059	2	108	information	information	NOUN
cana-1059	2	109	into	into	ADP
cana-1059	2	110	recommendations	recommendation	NOUN
cana-1059	2	111	.	.	PUNCT
cana-1059	3	1	arrn	arrn	ADJ
cana-1059	3	2	leverages	leverage	NOUN
cana-1059	3	3	user	user	NOUN
cana-1059	3	4	-	-	PUNCT
cana-1059	3	5	item	item	NOUN
cana-1059	3	6	interaction	interaction	NOUN
cana-1059	3	7	data	datum	NOUN
cana-1059	3	8	along	along	ADP
cana-1059	3	9	with	with	ADP
cana-1059	3	10	age	age	NOUN
cana-1059	3	11	information	information	NOUN
cana-1059	3	12	from	from	ADP
cana-1059	3	13	the	the	DET
cana-1059	3	14	data	datum	NOUN
cana-1059	3	15	set	set	VERB
cana-1059	3	16	to	to	PART
cana-1059	3	17	deliver	deliver	VERB
cana-1059	3	18	personalized	personalized	ADJ
cana-1059	3	19	recommendations	recommendation	NOUN
cana-1059	3	20	specifically	specifically	ADV
cana-1059	3	21	tailored	tailor	VERB
cana-1059	3	22	to	to	ADP
cana-1059	3	23	different	different	ADJ
cana-1059	3	24	age	age	NOUN
cana-1059	3	25	groups	group	NOUN
cana-1059	3	26	.	.	PUNCT
cana-1059	4	1	the	the	DET
cana-1059	4	2	approach	approach	NOUN
cana-1059	4	3	utilizes	utilize	VERB
cana-1059	4	4	embedding	embed	VERB
cana-1059	4	5	techniques	technique	NOUN
cana-1059	4	6	and	and	CCONJ
cana-1059	4	7	semantic	semantic	ADJ
cana-1059	4	8	analysis	analysis	NOUN
cana-1059	4	9	to	to	PART
cana-1059	4	10	capture	capture	VERB
cana-1059	4	11	user	user	NOUN
cana-1059	4	12	preferences	preference	NOUN
cana-1059	4	13	and	and	CCONJ
cana-1059	4	14	behaviors	behavior	NOUN
cana-1059	4	15	associated	associate	VERB
cana-1059	4	16	with	with	ADP
cana-1059	4	17	their	their	PRON
cana-1059	4	18	age	age	NOUN
cana-1059	4	19	.	.	PUNCT
cana-1059	5	1	an	an	DET
cana-1059	5	2	attention	attention	NOUN
cana-1059	5	3	mechanism	mechanism	NOUN
cana-1059	5	4	prioritizes	prioritize	VERB
cana-1059	5	5	relevant	relevant	ADJ
cana-1059	5	6	features	feature	NOUN
cana-1059	5	7	based	base	VERB
cana-1059	5	8	on	on	ADP
cana-1059	5	9	user	user	NOUN
cana-1059	5	10	age	age	NOUN
cana-1059	5	11	groups	group	NOUN
cana-1059	5	12	,	,	PUNCT
cana-1059	5	13	enabling	enable	VERB
cana-1059	5	14	arrn	arrn	ADV
cana-1059	5	15	to	to	PART
cana-1059	5	16	dynamically	dynamically	ADV
cana-1059	5	17	adapt	adapt	VERB
cana-1059	5	18	recommendations	recommendation	NOUN
cana-1059	5	19	for	for	ADP
cana-1059	5	20	users	user	NOUN
cana-1059	5	21	with	with	ADP
cana-1059	5	22	limited	limited	ADJ
cana-1059	5	23	interaction	interaction	NOUN
cana-1059	5	24	history	history	NOUN
cana-1059	5	25	.	.	PUNCT
cana-1059	6	1	the	the	DET
cana-1059	6	2	paper	paper	NOUN
cana-1059	6	3	presents	present	VERB
cana-1059	6	4	a	a	DET
cana-1059	6	5	comprehensive	comprehensive	ADJ
cana-1059	6	6	evaluation	evaluation	NOUN
cana-1059	6	7	of	of	ADP
cana-1059	6	8	arrn	arrn	PROPN
cana-1059	6	9	’s	’s	PART
cana-1059	6	10	performance	performance	NOUN
cana-1059	6	11	compared	compare	VERB
cana-1059	6	12	to	to	ADP
cana-1059	6	13	existing	exist	VERB
cana-1059	6	14	state	state	NOUN
cana-1059	6	15	-	-	PUNCT
cana-1059	6	16	of	of	ADP
cana-1059	6	17	-	-	PUNCT
cana-1059	6	18	the	the	DET
cana-1059	6	19	-	-	PUNCT
cana-1059	6	20	art	art	NOUN
cana-1059	6	21	recommendation	recommendation	NOUN
cana-1059	6	22	algorithms	algorithm	NOUN
cana-1059	6	23	.	.	PUNCT
cana-1059	7	1	the	the	DET
cana-1059	7	2	results	result	NOUN
cana-1059	7	3	demonstrate	demonstrate	VERB
cana-1059	7	4	that	that	SCONJ
cana-1059	7	5	arrn	arrn	ADV
cana-1059	7	6	outperforms	outperform	VERB
cana-1059	7	7	existing	exist	VERB
cana-1059	7	8	approaches	approach	NOUN
cana-1059	7	9	,	,	PUNCT
cana-1059	7	10	particularly	particularly	ADV
cana-1059	7	11	for	for	ADP
cana-1059	7	12	users	user	NOUN
cana-1059	7	13	with	with	ADP
cana-1059	7	14	limited	limited	ADJ
cana-1059	7	15	interaction	interaction	NOUN
cana-1059	7	16	history	history	NOUN
cana-1059	7	17	,	,	PUNCT
cana-1059	7	18	by	by	ADP
cana-1059	7	19	effectively	effectively	ADV
cana-1059	7	20	mitigating	mitigate	VERB
cana-1059	7	21	the	the	DET
cana-1059	7	22	cold	cold	ADJ
cana-1059	7	23	-	-	PUNCT
cana-1059	7	24	start	start	NOUN
cana-1059	7	25	problem	problem	NOUN
cana-1059	7	26	in	in	ADP
cana-1059	7	27	agesensitive	agesensitive	ADJ
cana-1059	7	28	product	product	NOUN
cana-1059	7	29	domains	domain	NOUN
cana-1059	7	30	.	.	PUNCT
cana-1059	8	1	keywords	keyword	NOUN
cana-1059	8	2	:	:	PUNCT
cana-1059	8	3	recommendation	recommendation	NOUN
cana-1059	8	4	systems	system	NOUN
cana-1059	8	5	,	,	PUNCT
cana-1059	8	6	demographic	demographic	ADJ
cana-1059	8	7	-	-	PUNCT
cana-1059	8	8	aware	aware	ADJ
cana-1059	8	9	recommendation	recommendation	NOUN
cana-1059	8	10	,	,	PUNCT
cana-1059	8	11	attention	attention	NOUN
cana-1059	8	12	mechanism	mechanism	NOUN
cana-1059	8	13	,	,	PUNCT
cana-1059	8	14	recurrent	recurrent	ADJ
cana-1059	8	15	neural	neural	ADJ
cana-1059	8	16	networks	network	NOUN
cana-1059	8	17	(	(	PUNCT
cana-1059	8	18	rnns	rnns	PROPN
cana-1059	8	19	)	)	PUNCT
cana-1059	8	20	,	,	PUNCT
cana-1059	8	21	user	user	NOUN
cana-1059	8	22	embeddings	embedding	NOUN
cana-1059	8	23	,	,	PUNCT
cana-1059	8	24	semantic	semantic	ADJ
cana-1059	8	25	analysis	analysis	NOUN
cana-1059	8	26	,	,	PUNCT
cana-1059	8	27	cold	cold	ADJ
cana-1059	8	28	-	-	PUNCT
cana-1059	8	29	start	start	NOUN
cana-1059	8	30	problem	problem	NOUN
cana-1059	8	31	,	,	PUNCT
cana-1059	8	32	age	age	NOUN
cana-1059	8	33	-	-	PUNCT
cana-1059	8	34	based	base	VERB
cana-1059	8	35	recommendations	recommendation	NOUN
cana-1059	8	36	.	.	PUNCT
cana-1059	9	1	1	1	X
cana-1059	9	2	.	.	X
cana-1059	9	3	introduction	introduction	NOUN
cana-1059	9	4	personalization	personalization	NOUN
cana-1059	9	5	is	be	AUX
cana-1059	9	6	critical	critical	ADJ
cana-1059	9	7	for	for	ADP
cana-1059	9	8	modern	modern	ADJ
cana-1059	9	9	recommendation	recommendation	NOUN
cana-1059	9	10	systems	system	NOUN
cana-1059	9	11	to	to	PART
cana-1059	9	12	optimize	optimize	VERB
cana-1059	9	13	user	user	NOUN
cana-1059	9	14	engagement	engagement	NOUN
cana-1059	9	15	and	and	CCONJ
cana-1059	9	16	satisfaction	satisfaction	NOUN
cana-1059	9	17	[	[	X
cana-1059	9	18	1	1	NUM
cana-1059	9	19	]	]	PUNCT
cana-1059	9	20	.	.	PUNCT
cana-1059	10	1	achieving	achieve	VERB
cana-1059	10	2	this	this	DET
cana-1059	10	3	level	level	NOUN
cana-1059	10	4	of	of	ADP
cana-1059	10	5	personalization	personalization	NOUN
cana-1059	10	6	necessitates	necessitate	VERB
cana-1059	10	7	advanced	advanced	ADJ
cana-1059	10	8	machine	machine	NOUN
cana-1059	10	9	learning	learn	VERB
cana-1059	10	10	techniques	technique	NOUN
cana-1059	10	11	that	that	PRON
cana-1059	10	12	effectively	effectively	ADV
cana-1059	10	13	leverage	leverage	VERB
cana-1059	10	14	user	user	NOUN
cana-1059	10	15	specific	specific	ADJ
cana-1059	10	16	characteristics	characteristic	NOUN
cana-1059	10	17	,	,	PUNCT
cana-1059	10	18	including	include	VERB
cana-1059	10	19	demographic	demographic	ADJ
cana-1059	10	20	information	information	NOUN
cana-1059	10	21	such	such	ADJ
cana-1059	10	22	as	as	ADP
cana-1059	10	23	age	age	NOUN
cana-1059	10	24	[	[	X
cana-1059	10	25	2	2	NUM
cana-1059	10	26	]	]	PUNCT
cana-1059	10	27	.	.	PUNCT
cana-1059	11	1	in	in	ADP
cana-1059	11	2	domains	domain	NOUN
cana-1059	11	3	focused	focus	VERB
cana-1059	11	4	on	on	ADP
cana-1059	11	5	age	age	NOUN
cana-1059	11	6	-	-	PUNCT
cana-1059	11	7	aware	aware	ADJ
cana-1059	11	8	products	product	NOUN
cana-1059	11	9	,	,	PUNCT
cana-1059	11	10	age	age	NOUN
cana-1059	11	11	serves	serve	VERB
cana-1059	11	12	as	as	ADP
cana-1059	11	13	a	a	DET
cana-1059	11	14	crucial	crucial	ADJ
cana-1059	11	15	demographic	demographic	ADJ
cana-1059	11	16	factor	factor	NOUN
cana-1059	11	17	that	that	PRON
cana-1059	11	18	significantly	significantly	ADV
cana-1059	11	19	shapes	shape	VERB
cana-1059	11	20	user	user	NOUN
cana-1059	11	21	preferences	preference	NOUN
cana-1059	11	22	and	and	CCONJ
cana-1059	11	23	purchasing	purchasing	NOUN
cana-1059	11	24	behaviours	behaviour	NOUN
cana-1059	11	25	[	[	X
cana-1059	11	26	3	3	NUM
cana-1059	11	27	]	]	PUNCT
cana-1059	11	28	.	.	PUNCT
cana-1059	12	1	this	this	DET
cana-1059	12	2	paper	paper	NOUN
cana-1059	12	3	introduces	introduce	VERB
cana-1059	12	4	the	the	DET
cana-1059	12	5	attentive	attentive	ADJ
cana-1059	12	6	recurrent	recurrent	ADJ
cana-1059	12	7	recommender	recommender	NOUN
cana-1059	12	8	network	network	NOUN
cana-1059	12	9	(	(	PUNCT
cana-1059	12	10	arrn	arrn	PROPN
cana-1059	12	11	)	)	PUNCT
cana-1059	12	12	,	,	PUNCT
cana-1059	12	13	a	a	DET
cana-1059	12	14	novel	novel	ADJ
cana-1059	12	15	approach	approach	NOUN
cana-1059	12	16	that	that	PRON
cana-1059	12	17	addresses	address	VERB
cana-1059	12	18	the	the	DET
cana-1059	12	19	challenge	challenge	NOUN
cana-1059	12	20	of	of	ADP
cana-1059	12	21	incorporating	incorporate	VERB
cana-1059	12	22	demographic	demographic	ADJ
cana-1059	12	23	information	information	NOUN
cana-1059	12	24	into	into	ADP
cana-1059	12	25	recommendation	recommendation	NOUN
cana-1059	12	26	systems	system	NOUN
cana-1059	12	27	.	.	PUNCT
cana-1059	13	1	arrn	arrn	ADP
cana-1059	13	2	tackles	tackle	NOUN
cana-1059	13	3	this	this	DET
cana-1059	13	4	challenge	challenge	NOUN
cana-1059	13	5	by	by	ADP
cana-1059	13	6	integrating	integrate	VERB
cana-1059	13	7	age	age	NOUN
cana-1059	13	8	data	datum	NOUN
cana-1059	13	9	from	from	ADP
cana-1059	13	10	datasets	dataset	NOUN
cana-1059	13	11	containing	contain	VERB
cana-1059	13	12	age	age	NOUN
cana-1059	13	13	-	-	PUNCT
cana-1059	13	14	centric	centric	ADJ
cana-1059	13	15	products	product	NOUN
cana-1059	13	16	,	,	PUNCT
cana-1059	13	17	such	such	ADJ
cana-1059	13	18	as	as	ADP
cana-1059	13	19	baby	baby	NOUN
cana-1059	13	20	products	product	NOUN
cana-1059	13	21	.	.	PUNCT
cana-1059	14	1	the	the	DET
cana-1059	14	2	algorithm	algorithm	NOUN
cana-1059	14	3	leverages	leverage	VERB
cana-1059	14	4	user	user	NOUN
cana-1059	14	5	-	-	PUNCT
cana-1059	14	6	item	item	NOUN
cana-1059	14	7	embedding	embed	VERB
cana-1059	14	8	techniques	technique	NOUN
cana-1059	14	9	followed	follow	VERB
cana-1059	14	10	by	by	ADP
cana-1059	14	11	semantic	semantic	ADJ
cana-1059	14	12	analysis	analysis	NOUN
cana-1059	14	13	.	.	PUNCT
cana-1059	15	1	this	this	DET
cana-1059	15	2	empowers	empower	NOUN
cana-1059	15	3	arrn	arrn	ADV
cana-1059	15	4	to	to	PART
cana-1059	15	5	deliver	deliver	VERB
cana-1059	15	6	highly	highly	ADV
cana-1059	15	7	accurate	accurate	ADJ
cana-1059	15	8	and	and	CCONJ
cana-1059	15	9	personalized	personalized	ADJ
cana-1059	15	10	recommendations	recommendation	NOUN
cana-1059	15	11	specifically	specifically	ADV
cana-1059	15	12	tailored	tailor	VERB
cana-1059	15	13	to	to	ADP
cana-1059	15	14	the	the	DET
cana-1059	15	15	different	different	ADJ
cana-1059	15	16	age	age	NOUN
cana-1059	15	17	groups	group	NOUN
cana-1059	15	18	represented	represent	VERB
cana-1059	15	19	within	within	ADP
cana-1059	15	20	the	the	DET
cana-1059	15	21	dataset	dataset	NOUN
cana-1059	15	22	.	.	PUNCT
cana-1059	16	1	furthermore	furthermore	ADV
cana-1059	16	2	,	,	PUNCT
cana-1059	16	3	this	this	DET
cana-1059	16	4	paper	paper	NOUN
cana-1059	16	5	presents	present	VERB
cana-1059	16	6	a	a	DET
cana-1059	16	7	comprehensive	comprehensive	ADJ
cana-1059	16	8	evaluation	evaluation	NOUN
cana-1059	16	9	of	of	ADP
cana-1059	16	10	arrn	arrn	PROPN
cana-1059	16	11	’s	’s	PART
cana-1059	16	12	performance	performance	NOUN
cana-1059	16	13	compared	compare	VERB
cana-1059	16	14	to	to	ADP
cana-1059	16	15	other	other	ADJ
cana-1059	16	16	state	state	NOUN
cana-1059	16	17	-	-	PUNCT
cana-1059	16	18	of	of	ADP
cana-1059	16	19	-	-	PUNCT
cana-1059	16	20	the	the	DET
cana-1059	16	21	-	-	PUNCT
cana-1059	16	22	art	art	NOUN
cana-1059	16	23	recommendation	recommendation	NOUN
cana-1059	16	24	algorithms	algorithm	NOUN
cana-1059	16	25	.	.	PUNCT
cana-1059	17	1	our	our	PRON
cana-1059	17	2	study	study	NOUN
cana-1059	17	3	emphasizes	emphasize	VERB
cana-1059	17	4	the	the	DET
cana-1059	17	5	importance	importance	NOUN
cana-1059	17	6	and	and	CCONJ
cana-1059	17	7	efficacy	efficacy	NOUN
cana-1059	17	8	of	of	ADP
cana-1059	17	9	considering	consider	VERB
cana-1059	17	10	demographic	demographic	ADJ
cana-1059	17	11	information	information	NOUN
cana-1059	17	12	,	,	PUNCT
cana-1059	17	13	specifically	specifically	ADV
cana-1059	17	14	age	age	NOUN
cana-1059	17	15	,	,	PUNCT
cana-1059	17	16	in	in	ADP
cana-1059	17	17	recommendation	recommendation	NOUN
cana-1059	17	18	systems	system	NOUN
cana-1059	17	19	designed	design	VERB
cana-1059	17	20	for	for	ADP
cana-1059	17	21	communications	communication	NOUN
cana-1059	17	22	on	on	ADP
cana-1059	17	23	applied	apply	VERB
cana-1059	17	24	nonlinear	nonlinear	ADJ
cana-1059	17	25	analysis	analysis	NOUN
cana-1059	17	26	issn	issn	NOUN
cana-1059	17	27	:	:	PUNCT
cana-1059	17	28	1074	1074	NUM
cana-1059	17	29	-	-	PUNCT
cana-1059	17	30	133x	133x	NUM
cana-1059	17	31	vol	vol	NOUN
cana-1059	17	32	31	31	NUM
cana-1059	17	33	no	no	NOUN
cana-1059	17	34	.	.	PUNCT
cana-1059	18	1	5s	5s	NUM
cana-1059	18	2	(	(	PUNCT
cana-1059	18	3	2024	2024	NUM
cana-1059	18	4	)	)	PUNCT
cana-1059	18	5	399	399	NUM
cana-1059	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	18	7	age	age	NOUN
cana-1059	18	8	centric	centric	NOUN
cana-1059	18	9	product	product	NOUN
cana-1059	18	10	domains	domain	NOUN
cana-1059	18	11	.	.	PUNCT
cana-1059	19	1	we	we	PRON
cana-1059	19	2	evaluate	evaluate	VERB
cana-1059	19	3	arrn	arrn	ADP
cana-1059	19	4	’s	’s	PART
cana-1059	19	5	performance	performance	NOUN
cana-1059	19	6	using	use	VERB
cana-1059	19	7	rigorous	rigorous	ADJ
cana-1059	19	8	methodologies	methodology	NOUN
cana-1059	19	9	and	and	CCONJ
cana-1059	19	10	key	key	ADJ
cana-1059	19	11	metrics	metric	NOUN
cana-1059	19	12	to	to	PART
cana-1059	19	13	quantify	quantify	VERB
cana-1059	19	14	the	the	DET
cana-1059	19	15	accuracy	accuracy	NOUN
cana-1059	19	16	of	of	ADP
cana-1059	19	17	the	the	DET
cana-1059	19	18	recommendations	recommendation	NOUN
cana-1059	19	19	.	.	PUNCT
cana-1059	20	1	one	one	NUM
cana-1059	20	2	persistent	persistent	ADJ
cana-1059	20	3	challenge	challenge	NOUN
cana-1059	20	4	in	in	ADP
cana-1059	20	5	recommendation	recommendation	NOUN
cana-1059	20	6	systems	system	NOUN
cana-1059	20	7	is	be	AUX
cana-1059	20	8	the	the	DET
cana-1059	20	9	“	"	PUNCT
cana-1059	20	10	cold	cold	ADJ
cana-1059	20	11	-	-	PUNCT
cana-1059	20	12	start	start	NOUN
cana-1059	20	13	problem	problem	NOUN
cana-1059	20	14	,	,	PUNCT
cana-1059	20	15	”	"	PUNCT
cana-1059	20	16	where	where	SCONJ
cana-1059	20	17	the	the	DET
cana-1059	20	18	system	system	NOUN
cana-1059	20	19	struggles	struggle	VERB
cana-1059	20	20	to	to	PART
cana-1059	20	21	provide	provide	VERB
cana-1059	20	22	accurate	accurate	ADJ
cana-1059	20	23	recommendations	recommendation	NOUN
cana-1059	20	24	for	for	ADP
cana-1059	20	25	new	new	ADJ
cana-1059	20	26	users	user	NOUN
cana-1059	20	27	or	or	CCONJ
cana-1059	20	28	items	item	NOUN
cana-1059	20	29	with	with	ADP
cana-1059	20	30	limited	limited	ADJ
cana-1059	20	31	interaction	interaction	NOUN
cana-1059	20	32	history	history	NOUN
cana-1059	20	33	.	.	PUNCT
cana-1059	21	1	this	this	DET
cana-1059	21	2	challenge	challenge	NOUN
cana-1059	21	3	is	be	AUX
cana-1059	21	4	particularly	particularly	ADV
cana-1059	21	5	acute	acute	ADJ
cana-1059	21	6	in	in	ADP
cana-1059	21	7	domains	domain	NOUN
cana-1059	21	8	like	like	ADP
cana-1059	21	9	baby	baby	NOUN
cana-1059	21	10	products	product	NOUN
cana-1059	21	11	,	,	PUNCT
cana-1059	21	12	where	where	SCONJ
cana-1059	21	13	user	user	NOUN
cana-1059	21	14	preferences	preference	NOUN
cana-1059	21	15	can	can	AUX
cana-1059	21	16	vary	vary	VERB
cana-1059	21	17	significantly	significantly	ADV
cana-1059	21	18	based	base	VERB
cana-1059	21	19	on	on	ADP
cana-1059	21	20	demographic	demographic	ADJ
cana-1059	21	21	factors	factor	NOUN
cana-1059	21	22	such	such	ADJ
cana-1059	21	23	as	as	ADP
cana-1059	21	24	age	age	NOUN
cana-1059	21	25	.	.	PUNCT
cana-1059	22	1	traditional	traditional	ADJ
cana-1059	22	2	approaches	approach	NOUN
cana-1059	22	3	often	often	ADV
cana-1059	22	4	fall	fall	VERB
cana-1059	22	5	short	short	ADJ
cana-1059	22	6	in	in	ADP
cana-1059	22	7	accurately	accurately	ADV
cana-1059	22	8	capturing	capture	VERB
cana-1059	22	9	these	these	DET
cana-1059	22	10	nuanced	nuanced	ADJ
cana-1059	22	11	preferences	preference	NOUN
cana-1059	22	12	.	.	PUNCT
cana-1059	23	1	this	this	DET
cana-1059	23	2	paper	paper	NOUN
cana-1059	23	3	proposes	propose	VERB
cana-1059	23	4	arrn	arrn	ADV
cana-1059	23	5	as	as	ADP
cana-1059	23	6	a	a	DET
cana-1059	23	7	promising	promising	ADJ
cana-1059	23	8	solution	solution	NOUN
cana-1059	23	9	to	to	PART
cana-1059	23	10	mitigate	mitigate	VERB
cana-1059	23	11	the	the	DET
cana-1059	23	12	cold	cold	ADJ
cana-1059	23	13	-	-	PUNCT
cana-1059	23	14	start	start	NOUN
cana-1059	23	15	problem	problem	NOUN
cana-1059	23	16	,	,	PUNCT
cana-1059	23	17	especially	especially	ADV
cana-1059	23	18	within	within	ADP
cana-1059	23	19	age	age	NOUN
cana-1059	23	20	-	-	PUNCT
cana-1059	23	21	sensitive	sensitive	ADJ
cana-1059	23	22	product	product	NOUN
cana-1059	23	23	domains	domain	NOUN
cana-1059	23	24	.	.	PUNCT
cana-1059	24	1	arrn	arrn	ADJ
cana-1059	24	2	addresses	address	NOUN
cana-1059	24	3	this	this	DET
cana-1059	24	4	challenge	challenge	NOUN
cana-1059	24	5	by	by	ADP
cana-1059	24	6	leveraging	leverage	VERB
cana-1059	24	7	demographic	demographic	ADJ
cana-1059	24	8	information	information	NOUN
cana-1059	24	9	,	,	PUNCT
cana-1059	24	10	specifically	specifically	ADV
cana-1059	24	11	age	age	NOUN
cana-1059	24	12	,	,	PUNCT
cana-1059	24	13	directly	directly	ADV
cana-1059	24	14	from	from	ADP
cana-1059	24	15	the	the	DET
cana-1059	24	16	dataset	dataset	NOUN
cana-1059	24	17	.	.	PUNCT
cana-1059	25	1	this	this	PRON
cana-1059	25	2	allows	allow	VERB
cana-1059	25	3	arrn	arrn	ADV
cana-1059	25	4	to	to	PART
cana-1059	25	5	effectively	effectively	ADV
cana-1059	25	6	tailor	tailor	VERB
cana-1059	25	7	recommendations	recommendation	NOUN
cana-1059	25	8	even	even	ADV
cana-1059	25	9	for	for	ADP
cana-1059	25	10	users	user	NOUN
cana-1059	25	11	with	with	ADP
cana-1059	25	12	sparse	sparse	ADJ
cana-1059	25	13	interaction	interaction	NOUN
cana-1059	25	14	histories	history	NOUN
cana-1059	25	15	.	.	PUNCT
cana-1059	26	1	the	the	DET
cana-1059	26	2	incorporation	incorporation	NOUN
cana-1059	26	3	of	of	ADP
cana-1059	26	4	user	user	NOUN
cana-1059	26	5	-	-	PUNCT
cana-1059	26	6	item	item	NOUN
cana-1059	26	7	embedding	embed	VERB
cana-1059	26	8	methods	method	NOUN
cana-1059	26	9	combined	combine	VERB
cana-1059	26	10	with	with	ADP
cana-1059	26	11	semantic	semantic	ADJ
cana-1059	26	12	analysis	analysis	NOUN
cana-1059	26	13	enables	enable	VERB
cana-1059	26	14	arrn	arrn	ADV
cana-1059	26	15	to	to	PART
cana-1059	26	16	infer	infer	VERB
cana-1059	26	17	latent	latent	NOUN
cana-1059	26	18	features	feature	NOUN
cana-1059	26	19	that	that	PRON
cana-1059	26	20	capture	capture	VERB
cana-1059	26	21	age	age	NOUN
cana-1059	26	22	-	-	PUNCT
cana-1059	26	23	related	relate	VERB
cana-1059	26	24	preferences	preference	NOUN
cana-1059	26	25	and	and	CCONJ
cana-1059	26	26	behaviours	behaviour	NOUN
cana-1059	26	27	.	.	PUNCT
cana-1059	27	1	arrn	arrn	PROPN
cana-1059	27	2	’s	’s	PART
cana-1059	27	3	key	key	ADJ
cana-1059	27	4	advantage	advantage	NOUN
cana-1059	27	5	lies	lie	VERB
cana-1059	27	6	in	in	ADP
cana-1059	27	7	its	its	PRON
cana-1059	27	8	ability	ability	NOUN
cana-1059	27	9	to	to	PART
cana-1059	27	10	dynamically	dynamically	ADV
cana-1059	27	11	adapt	adapt	VERB
cana-1059	27	12	to	to	ADP
cana-1059	27	13	users	user	NOUN
cana-1059	27	14	based	base	VERB
cana-1059	27	15	on	on	ADP
cana-1059	27	16	their	their	PRON
cana-1059	27	17	age	age	NOUN
cana-1059	27	18	group	group	NOUN
cana-1059	27	19	.	.	PUNCT
cana-1059	28	1	this	this	PRON
cana-1059	28	2	facilitates	facilitate	VERB
cana-1059	28	3	personalized	personalized	ADJ
cana-1059	28	4	recommendations	recommendation	NOUN
cana-1059	28	5	from	from	ADP
cana-1059	28	6	the	the	DET
cana-1059	28	7	outset	outset	NOUN
cana-1059	28	8	,	,	PUNCT
cana-1059	28	9	effectively	effectively	ADV
cana-1059	28	10	addressing	address	VERB
cana-1059	28	11	the	the	DET
cana-1059	28	12	cold	cold	ADJ
cana-1059	28	13	-	-	PUNCT
cana-1059	28	14	start	start	NOUN
cana-1059	28	15	problem	problem	NOUN
cana-1059	28	16	.	.	PUNCT
cana-1059	29	1	by	by	ADP
cana-1059	29	2	leveraging	leverage	VERB
cana-1059	29	3	demographic	demographic	ADJ
cana-1059	29	4	context	context	NOUN
cana-1059	29	5	to	to	PART
cana-1059	29	6	infer	infer	VERB
cana-1059	29	7	preferences	preference	NOUN
cana-1059	29	8	for	for	ADP
cana-1059	29	9	users	user	NOUN
cana-1059	29	10	with	with	ADP
cana-1059	29	11	limited	limited	ADJ
cana-1059	29	12	historical	historical	ADJ
cana-1059	29	13	data	datum	NOUN
cana-1059	29	14	,	,	PUNCT
cana-1059	29	15	arrn	arrn	ADV
cana-1059	29	16	enhances	enhance	VERB
cana-1059	29	17	the	the	DET
cana-1059	29	18	accuracy	accuracy	NOUN
cana-1059	29	19	and	and	CCONJ
cana-1059	29	20	relevance	relevance	NOUN
cana-1059	29	21	of	of	ADP
cana-1059	29	22	recommendations	recommendation	NOUN
cana-1059	29	23	.	.	PUNCT
cana-1059	30	1	through	through	ADP
cana-1059	30	2	empirical	empirical	ADJ
cana-1059	30	3	evaluation	evaluation	NOUN
cana-1059	30	4	and	and	CCONJ
cana-1059	30	5	comparative	comparative	ADJ
cana-1059	30	6	analysis	analysis	NOUN
cana-1059	30	7	,	,	PUNCT
cana-1059	30	8	we	we	PRON
cana-1059	30	9	demonstrate	demonstrate	VERB
cana-1059	30	10	how	how	SCONJ
cana-1059	30	11	arrn	arrn	ADJ
cana-1059	30	12	outperforms	outperform	VERB
cana-1059	30	13	existing	exist	VERB
cana-1059	30	14	approaches	approach	NOUN
cana-1059	30	15	,	,	PUNCT
cana-1059	30	16	offering	offer	VERB
cana-1059	30	17	a	a	DET
cana-1059	30	18	robust	robust	ADJ
cana-1059	30	19	solution	solution	NOUN
cana-1059	30	20	to	to	ADP
cana-1059	30	21	the	the	DET
cana-1059	30	22	cold	cold	ADJ
cana-1059	30	23	-	-	PUNCT
cana-1059	30	24	start	start	NOUN
cana-1059	30	25	problem	problem	NOUN
cana-1059	30	26	in	in	ADP
cana-1059	30	27	recommendation	recommendation	NOUN
cana-1059	30	28	systems	system	NOUN
cana-1059	30	29	tailored	tailor	VERB
cana-1059	30	30	to	to	ADP
cana-1059	30	31	age	age	NOUN
cana-1059	30	32	-	-	PUNCT
cana-1059	30	33	centric	centric	ADJ
cana-1059	30	34	product	product	NOUN
cana-1059	30	35	domains	domain	NOUN
cana-1059	30	36	.	.	PUNCT
cana-1059	31	1	arrn	arrn	ADJ
cana-1059	31	2	addresses	address	NOUN
cana-1059	31	3	this	this	DET
cana-1059	31	4	gap	gap	NOUN
cana-1059	31	5	by	by	ADP
cana-1059	31	6	:	:	PUNCT
cana-1059	31	7	1	1	X
cana-1059	31	8	.	.	X
cana-1059	31	9	integrating	integrate	VERB
cana-1059	31	10	age	age	NOUN
cana-1059	31	11	data	datum	NOUN
cana-1059	31	12	with	with	ADP
cana-1059	31	13	user	user	NOUN
cana-1059	31	14	-	-	PUNCT
cana-1059	31	15	item	item	NOUN
cana-1059	31	16	interactions	interaction	NOUN
cana-1059	31	17	through	through	ADP
cana-1059	31	18	embedding	embed	VERB
cana-1059	31	19	techniques	technique	NOUN
cana-1059	31	20	and	and	CCONJ
cana-1059	31	21	semantic	semantic	ADJ
cana-1059	31	22	analysis	analysis	NOUN
cana-1059	31	23	.	.	PUNCT
cana-1059	32	1	2	2	X
cana-1059	32	2	.	.	X
cana-1059	32	3	leveraging	leverage	VERB
cana-1059	32	4	an	an	DET
cana-1059	32	5	attention	attention	NOUN
cana-1059	32	6	mechanism	mechanism	NOUN
cana-1059	32	7	to	to	PART
cana-1059	32	8	prioritize	prioritize	VERB
cana-1059	32	9	relevant	relevant	ADJ
cana-1059	32	10	features	feature	NOUN
cana-1059	32	11	based	base	VERB
cana-1059	32	12	on	on	ADP
cana-1059	32	13	user	user	NOUN
cana-1059	32	14	age	age	NOUN
cana-1059	32	15	groups	group	NOUN
cana-1059	32	16	.	.	PUNCT
cana-1059	33	1	3	3	X
cana-1059	33	2	.	.	X
cana-1059	33	3	dynamically	dynamically	ADV
cana-1059	33	4	adapting	adapt	VERB
cana-1059	33	5	recommendations	recommendation	NOUN
cana-1059	33	6	based	base	VERB
cana-1059	33	7	on	on	ADP
cana-1059	33	8	user	user	NOUN
cana-1059	33	9	age	age	NOUN
cana-1059	33	10	,	,	PUNCT
cana-1059	33	11	even	even	ADV
cana-1059	33	12	for	for	ADP
cana-1059	33	13	users	user	NOUN
cana-1059	33	14	with	with	ADP
cana-1059	33	15	limited	limited	ADJ
cana-1059	33	16	interaction	interaction	NOUN
cana-1059	33	17	history	history	NOUN
cana-1059	33	18	2	2	NUM
cana-1059	33	19	.	.	PUNCT
cana-1059	33	20	literature	literature	NOUN
cana-1059	33	21	review	review	PROPN
cana-1059	33	22	recommendation	recommendation	NOUN
cana-1059	33	23	algorithms	algorithm	NOUN
cana-1059	33	24	have	have	AUX
cana-1059	33	25	become	become	VERB
cana-1059	33	26	crucial	crucial	ADJ
cana-1059	33	27	for	for	ADP
cana-1059	33	28	online	online	ADJ
cana-1059	33	29	platforms	platform	NOUN
cana-1059	33	30	,	,	PUNCT
cana-1059	33	31	personalizing	personalize	VERB
cana-1059	33	32	user	user	NOUN
cana-1059	33	33	experience	experience	NOUN
cana-1059	33	34	,	,	PUNCT
cana-1059	33	35	and	and	CCONJ
cana-1059	33	36	boosting	boost	VERB
cana-1059	33	37	engagement	engagement	NOUN
cana-1059	33	38	in	in	ADP
cana-1059	33	39	aggarwal	aggarwal	NOUN
cana-1059	33	40	,	,	PUNCT
cana-1059	33	41	2016[4	2016[4	NUM
cana-1059	33	42	]	]	X
cana-1059	33	43	.	.	PUNCT
cana-1059	34	1	however	however	ADV
cana-1059	34	2	,	,	PUNCT
cana-1059	34	3	concerns	concern	NOUN
cana-1059	34	4	about	about	ADP
cana-1059	34	5	bias	bias	NOUN
cana-1059	34	6	towards	towards	ADP
cana-1059	34	7	popular	popular	ADJ
cana-1059	34	8	items	item	NOUN
cana-1059	34	9	and	and	CCONJ
cana-1059	34	10	lack	lack	NOUN
cana-1059	34	11	of	of	ADP
cana-1059	34	12	diversity	diversity	NOUN
cana-1059	34	13	for	for	ADP
cana-1059	34	14	different	different	ADJ
cana-1059	34	15	demographics	demographic	NOUN
cana-1059	34	16	have	have	AUX
cana-1059	34	17	emerged	emerge	VERB
cana-1059	34	18	in	in	ADP
cana-1059	34	19	neophytou	neophytou	PROPN
cana-1059	34	20	et	et	PROPN
cana-1059	34	21	al	al	PROPN
cana-1059	34	22	.	.	PROPN
cana-1059	34	23	,	,	PUNCT
cana-1059	34	24	2022[5	2022[5	NOUN
cana-1059	34	25	]	]	X
cana-1059	34	26	.	.	PUNCT
cana-1059	35	1	this	this	DET
cana-1059	35	2	review	review	NOUN
cana-1059	35	3	explores	explore	VERB
cana-1059	35	4	advancements	advancement	NOUN
cana-1059	35	5	in	in	ADP
cana-1059	35	6	recommendation	recommendation	NOUN
cana-1059	35	7	algorithms	algorithm	NOUN
cana-1059	35	8	that	that	PRON
cana-1059	35	9	leverage	leverage	NOUN
cana-1059	35	10	user	user	NOUN
cana-1059	35	11	demographics	demographic	NOUN
cana-1059	35	12	to	to	PART
cana-1059	35	13	address	address	VERB
cana-1059	35	14	these	these	DET
cana-1059	35	15	shortcomings	shortcoming	NOUN
cana-1059	35	16	.	.	PUNCT
cana-1059	36	1	xu	xu	PROPN
cana-1059	36	2	et	et	PROPN
cana-1059	37	1	al	al	PROPN
cana-1059	37	2	.	.	PROPN
cana-1059	38	1	(	(	PUNCT
cana-1059	38	2	2024	2024	NUM
cana-1059	38	3	)	)	PUNCT
cana-1059	39	1	[	[	X
cana-1059	39	2	6	6	NUM
cana-1059	39	3	]	]	PUNCT
cana-1059	39	4	further	far	ADV
cana-1059	39	5	explore	explore	VERB
cana-1059	39	6	this	this	DET
cana-1059	39	7	concept	concept	NOUN
cana-1059	39	8	by	by	ADP
cana-1059	39	9	proposing	propose	VERB
cana-1059	39	10	a	a	DET
cana-1059	39	11	model	model	NOUN
cana-1059	39	12	that	that	PRON
cana-1059	39	13	leverages	leverage	VERB
cana-1059	39	14	large	large	ADJ
cana-1059	39	15	language	language	NOUN
cana-1059	39	16	models	model	NOUN
cana-1059	39	17	to	to	PART
cana-1059	39	18	enhance	enhance	VERB
cana-1059	39	19	content	content	NOUN
cana-1059	39	20	-	-	PUNCT
cana-1059	39	21	based	base	VERB
cana-1059	39	22	recommender	recommender	NOUN
cana-1059	39	23	systems	system	NOUN
cana-1059	39	24	,	,	PUNCT
cana-1059	39	25	aligning	align	VERB
cana-1059	39	26	content	content	NOUN
cana-1059	39	27	and	and	CCONJ
cana-1059	39	28	user	user	NOUN
cana-1059	39	29	features	feature	NOUN
cana-1059	39	30	for	for	ADP
cana-1059	39	31	improved	improved	ADJ
cana-1059	39	32	accuracy	accuracy	NOUN
cana-1059	39	33	.	.	PUNCT
cana-1059	40	1	similarly	similarly	ADV
cana-1059	40	2	,	,	PUNCT
cana-1059	40	3	singh	singh	PROPN
cana-1059	40	4	et	et	PROPN
cana-1059	40	5	al	al	PROPN
cana-1059	40	6	.	.	PROPN
cana-1059	41	1	(	(	PUNCT
cana-1059	41	2	2024	2024	NUM
cana-1059	41	3	)	)	PUNCT
cana-1059	42	1	[	[	X
cana-1059	42	2	7	7	X
cana-1059	42	3	]	]	PUNCT
cana-1059	42	4	demonstrate	demonstrate	VERB
cana-1059	42	5	the	the	DET
cana-1059	42	6	effectiveness	effectiveness	NOUN
cana-1059	42	7	of	of	ADP
cana-1059	42	8	user	user	NOUN
cana-1059	42	9	demographics	demographic	NOUN
cana-1059	42	10	in	in	ADP
cana-1059	42	11	recommender	recommender	NOUN
cana-1059	42	12	systems	system	NOUN
cana-1059	42	13	for	for	ADP
cana-1059	42	14	specific	specific	ADJ
cana-1059	42	15	user	user	NOUN
cana-1059	42	16	groups	group	NOUN
cana-1059	42	17	.	.	PUNCT
cana-1059	43	1	their	their	PRON
cana-1059	43	2	research	research	NOUN
cana-1059	43	3	presents	present	VERB
cana-1059	43	4	a	a	DET
cana-1059	43	5	machine	machine	NOUN
cana-1059	43	6	learning	learning	NOUN
cana-1059	43	7	-	-	PUNCT
cana-1059	43	8	based	base	VERB
cana-1059	43	9	system	system	NOUN
cana-1059	43	10	for	for	ADP
cana-1059	43	11	age	age	NOUN
cana-1059	43	12	-	-	PUNCT
cana-1059	43	13	aware	aware	ADJ
cana-1059	43	14	book	book	NOUN
cana-1059	43	15	recommendations	recommendation	NOUN
cana-1059	43	16	catered	cater	VERB
cana-1059	43	17	towards	towards	ADP
cana-1059	43	18	young	young	ADJ
cana-1059	43	19	readers	reader	NOUN
cana-1059	43	20	.	.	PUNCT
cana-1059	44	1	abdollahpouri	abdollahpouri	PROPN
cana-1059	44	2	,	,	PUNCT
cana-1059	44	3	2020[8	2020[8	NUM
cana-1059	44	4	]	]	PUNCT
cana-1059	44	5	proposed	propose	VERB
cana-1059	44	6	one	one	NUM
cana-1059	44	7	approach	approach	NOUN
cana-1059	44	8	involves	involve	VERB
cana-1059	44	9	building	build	VERB
cana-1059	44	10	user	user	NOUN
cana-1059	44	11	profiles	profile	NOUN
cana-1059	44	12	that	that	PRON
cana-1059	44	13	consider	consider	VERB
cana-1059	44	14	demographics	demographic	NOUN
cana-1059	44	15	like	like	ADP
cana-1059	44	16	age	age	NOUN
cana-1059	44	17	,	,	PUNCT
cana-1059	44	18	gender	gender	NOUN
cana-1059	44	19	,	,	PUNCT
cana-1059	44	20	and	and	CCONJ
cana-1059	44	21	interests	interest	NOUN
cana-1059	44	22	alongside	alongside	ADP
cana-1059	44	23	preferences	preference	NOUN
cana-1059	44	24	.	.	PUNCT
cana-1059	45	1	analyzing	analyze	VERB
cana-1059	45	2	this	this	DET
cana-1059	45	3	data	data	NOUN
cana-1059	45	4	allows	allow	VERB
cana-1059	45	5	recommender	recommender	NOUN
cana-1059	45	6	systems	system	NOUN
cana-1059	45	7	to	to	PART
cana-1059	45	8	provide	provide	VERB
cana-1059	45	9	more	more	ADV
cana-1059	45	10	accurate	accurate	ADJ
cana-1059	45	11	and	and	CCONJ
cana-1059	45	12	relevant	relevant	ADJ
cana-1059	45	13	suggestions	suggestion	NOUN
cana-1059	45	14	tailored	tailor	VERB
cana-1059	45	15	to	to	ADP
cana-1059	45	16	each	each	DET
cana-1059	45	17	user	user	NOUN
cana-1059	45	18	’s	’s	PART
cana-1059	45	19	unique	unique	ADJ
cana-1059	45	20	characteristics	characteristic	NOUN
cana-1059	45	21	.	.	PUNCT
cana-1059	46	1	group	group	NOUN
cana-1059	46	2	recommendation	recommendation	NOUN
cana-1059	46	3	systems	system	NOUN
cana-1059	46	4	offer	offer	VERB
cana-1059	46	5	another	another	DET
cana-1059	46	6	promising	promising	ADJ
cana-1059	46	7	approach	approach	NOUN
cana-1059	46	8	.	.	PUNCT
cana-1059	47	1	kim	kim	PROPN
cana-1059	47	2	et	et	PROPN
cana-1059	47	3	al	al	PROPN
cana-1059	47	4	.	.	PROPN
cana-1059	47	5	,	,	PUNCT
cana-1059	48	1	2010[9	2010[9	NUM
cana-1059	48	2	]	]	X
cana-1059	48	3	systems	system	NOUN
cana-1059	48	4	aim	aim	VERB
cana-1059	48	5	to	to	PART
cana-1059	48	6	recommend	recommend	VERB
cana-1059	48	7	items	item	NOUN
cana-1059	48	8	that	that	PRON
cana-1059	48	9	cater	cater	VERB
cana-1059	48	10	to	to	ADP
cana-1059	48	11	both	both	DET
cana-1059	48	12	the	the	DET
cana-1059	48	13	majority	majority	NOUN
cana-1059	48	14	’s	’s	PART
cana-1059	48	15	interest	interest	NOUN
cana-1059	48	16	and	and	CCONJ
cana-1059	48	17	individual	individual	ADJ
cana-1059	48	18	preferences	preference	NOUN
cana-1059	48	19	within	within	ADP
cana-1059	48	20	a	a	DET
cana-1059	48	21	group	group	NOUN
cana-1059	48	22	.	.	PUNCT
cana-1059	49	1	this	this	DET
cana-1059	49	2	approach	approach	NOUN
cana-1059	49	3	can	can	AUX
cana-1059	49	4	lead	lead	VERB
cana-1059	49	5	to	to	ADP
cana-1059	49	6	increased	increase	VERB
cana-1059	49	7	user	user	NOUN
cana-1059	49	8	satisfaction	satisfaction	NOUN
cana-1059	49	9	compared	compare	VERB
cana-1059	49	10	to	to	ADP
cana-1059	49	11	traditional	traditional	ADJ
cana-1059	49	12	methods	method	NOUN
cana-1059	49	13	.	.	PUNCT
cana-1059	50	1	however	however	ADV
cana-1059	50	2	,	,	PUNCT
cana-1059	50	3	limitations	limitation	NOUN
cana-1059	50	4	exist	exist	VERB
cana-1059	50	5	in	in	ADP
cana-1059	50	6	handling	handle	VERB
cana-1059	50	7	group	group	NOUN
cana-1059	50	8	types	type	NOUN
cana-1059	50	9	,	,	PUNCT
cana-1059	50	10	size	size	NOUN
cana-1059	50	11	,	,	PUNCT
cana-1059	50	12	and	and	CCONJ
cana-1059	50	13	the	the	DET
cana-1059	50	14	availability	availability	NOUN
cana-1059	50	15	of	of	ADP
cana-1059	50	16	real	real	ADJ
cana-1059	50	17	-	-	PUNCT
cana-1059	50	18	world	world	NOUN
cana-1059	50	19	data	datum	NOUN
cana-1059	50	20	for	for	ADP
cana-1059	50	21	evaluation	evaluation	NOUN
cana-1059	50	22	in	in	ADP
cana-1059	50	23	ali	ali	PROPN
cana-1059	50	24	kim	kim	PROPN
cana-1059	50	25	,	,	PUNCT
cana-1059	50	26	2015[10	2015[10	NUM
cana-1059	50	27	]	]	PUNCT
cana-1059	50	28	.	.	PUNCT
cana-1059	51	1	burke	burke	PROPN
cana-1059	51	2	et	et	PROPN
cana-1059	51	3	al	al	PROPN
cana-1059	51	4	.	.	PROPN
cana-1059	51	5	,	,	PUNCT
cana-1059	51	6	2016	2016	NUM
cana-1059	51	7	[	[	X
cana-1059	51	8	11	11	NUM
cana-1059	51	9	]	]	PUNCT
cana-1059	51	10	research	research	NOUN
cana-1059	51	11	is	be	AUX
cana-1059	51	12	ongoing	ongoing	ADJ
cana-1059	51	13	to	to	PART
cana-1059	51	14	address	address	VERB
cana-1059	51	15	these	these	DET
cana-1059	51	16	challenges	challenge	NOUN
cana-1059	51	17	and	and	CCONJ
cana-1059	51	18	improve	improve	VERB
cana-1059	51	19	the	the	DET
cana-1059	51	20	effectiveness	effectiveness	NOUN
cana-1059	51	21	of	of	ADP
cana-1059	51	22	group	group	NOUN
cana-1059	51	23	recommender	recommender	NOUN
cana-1059	51	24	systems	system	NOUN
cana-1059	51	25	.	.	PUNCT
cana-1059	52	1	several	several	ADJ
cana-1059	52	2	studies	study	NOUN
cana-1059	52	3	have	have	VERB
cana-1059	52	4	communications	communication	NOUN
cana-1059	52	5	on	on	ADP
cana-1059	52	6	applied	apply	VERB
cana-1059	52	7	nonlinear	nonlinear	ADJ
cana-1059	52	8	analysis	analysis	NOUN
cana-1059	52	9	issn	issn	NOUN
cana-1059	52	10	:	:	PUNCT
cana-1059	52	11	1074	1074	NUM
cana-1059	52	12	-	-	PUNCT
cana-1059	52	13	133x	133x	NUM
cana-1059	52	14	vol	vol	NOUN
cana-1059	52	15	31	31	NUM
cana-1059	52	16	no	no	NOUN
cana-1059	52	17	.	.	PUNCT
cana-1059	53	1	5s	5s	NUM
cana-1059	53	2	(	(	PUNCT
cana-1059	53	3	2024	2024	NUM
cana-1059	53	4	)	)	PUNCT
cana-1059	53	5	400	400	NUM
cana-1059	54	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1059	54	2	demonstrated	demonstrate	VERB
cana-1059	54	3	the	the	DET
cana-1059	54	4	effectiveness	effectiveness	NOUN
cana-1059	54	5	of	of	ADP
cana-1059	54	6	group	group	NOUN
cana-1059	54	7	recommendation	recommendation	NOUN
cana-1059	54	8	systems	system	NOUN
cana-1059	54	9	,	,	PUNCT
cana-1059	54	10	particularly	particularly	ADV
cana-1059	54	11	for	for	ADP
cana-1059	54	12	large	large	ADJ
cana-1059	54	13	groups	group	NOUN
cana-1059	54	14	and	and	CCONJ
cana-1059	54	15	users	user	NOUN
cana-1059	54	16	with	with	ADP
cana-1059	54	17	weak	weak	ADJ
cana-1059	54	18	individual	individual	ADJ
cana-1059	54	19	recommendations	recommendation	NOUN
cana-1059	54	20	.	.	PUNCT
cana-1059	55	1	the	the	DET
cana-1059	55	2	effectiveness	effectiveness	NOUN
cana-1059	55	3	is	be	AUX
cana-1059	55	4	further	far	ADV
cana-1059	55	5	amplified	amplify	VERB
cana-1059	55	6	by	by	ADP
cana-1059	55	7	user	user	NOUN
cana-1059	55	8	similarity	similarity	NOUN
cana-1059	55	9	within	within	ADP
cana-1059	55	10	the	the	DET
cana-1059	55	11	group	group	NOUN
cana-1059	55	12	by	by	ADP
cana-1059	55	13	baltrunas	baltruna	NOUN
cana-1059	55	14	et	et	PROPN
cana-1059	55	15	al	al	PROPN
cana-1059	55	16	.	.	PROPN
cana-1059	55	17	,	,	PUNCT
cana-1059	55	18	2010;[12	2010;[12	NOUN
cana-1059	55	19	]	]	X
cana-1059	55	20	cheng	cheng	PROPN
cana-1059	55	21	et	et	PROPN
cana-1059	55	22	al	al	PROPN
cana-1059	55	23	.	.	PROPN
cana-1059	55	24	,	,	PUNCT
cana-1059	55	25	2018[13	2018[13	NUM
cana-1059	55	26	]	]	PUNCT
cana-1059	55	27	.	.	PUNCT
cana-1059	56	1	for	for	ADP
cana-1059	56	2	instance	instance	NOUN
cana-1059	56	3	,	,	PUNCT
cana-1059	56	4	yang	yang	PROPN
cana-1059	56	5	et	et	PROPN
cana-1059	56	6	al	al	PROPN
cana-1059	56	7	.	.	PROPN
cana-1059	57	1	(	(	PUNCT
cana-1059	57	2	2021	2021	NUM
cana-1059	57	3	)	)	PUNCT
cana-1059	58	1	[	[	X
cana-1059	58	2	14	14	NUM
cana-1059	58	3	]	]	X
cana-1059	58	4	propose	propose	VERB
cana-1059	58	5	a	a	DET
cana-1059	58	6	group	group	NOUN
cana-1059	58	7	recommendation	recommendation	NOUN
cana-1059	58	8	system	system	NOUN
cana-1059	58	9	that	that	PRON
cana-1059	58	10	achieves	achieve	VERB
cana-1059	58	11	high	high	ADJ
cana-1059	58	12	accuracy	accuracy	NOUN
cana-1059	58	13	by	by	ADP
cana-1059	58	14	predicting	predict	VERB
cana-1059	58	15	individual	individual	ADJ
cana-1059	58	16	preferences	preference	NOUN
cana-1059	58	17	and	and	CCONJ
cana-1059	58	18	combining	combine	VERB
cana-1059	58	19	them	they	PRON
cana-1059	58	20	for	for	ADP
cana-1059	58	21	group	group	NOUN
cana-1059	58	22	recommendations	recommendation	NOUN
cana-1059	58	23	.	.	PUNCT
cana-1059	59	1	beyond	beyond	ADP
cana-1059	59	2	group	group	NOUN
cana-1059	59	3	recommender	recommender	NOUN
cana-1059	59	4	systems	system	NOUN
cana-1059	59	5	,	,	PUNCT
cana-1059	59	6	several	several	ADJ
cana-1059	59	7	studies	study	NOUN
cana-1059	59	8	explore	explore	VERB
cana-1059	59	9	the	the	DET
cana-1059	59	10	broader	broad	ADJ
cana-1059	59	11	implications	implication	NOUN
cana-1059	59	12	of	of	ADP
cana-1059	59	13	incorporating	incorporate	VERB
cana-1059	59	14	user	user	NOUN
cana-1059	59	15	demographics	demographic	NOUN
cana-1059	59	16	.	.	PUNCT
cana-1059	60	1	avila	avila	PROPN
cana-1059	60	2	et	et	PROPN
cana-1059	60	3	al	al	PROPN
cana-1059	60	4	.	.	PROPN
cana-1059	61	1	(	(	PUNCT
cana-1059	61	2	2016	2016	NUM
cana-1059	61	3	)	)	PUNCT
cana-1059	62	1	[	[	X
cana-1059	62	2	15	15	NUM
cana-1059	62	3	]	]	PUNCT
cana-1059	62	4	delve	delve	VERB
cana-1059	62	5	into	into	ADP
cana-1059	62	6	the	the	DET
cana-1059	62	7	challenges	challenge	NOUN
cana-1059	62	8	and	and	CCONJ
cana-1059	62	9	opportunities	opportunity	NOUN
cana-1059	62	10	associated	associate	VERB
cana-1059	62	11	with	with	ADP
cana-1059	62	12	this	this	DET
cana-1059	62	13	approach	approach	NOUN
cana-1059	62	14	for	for	ADP
cana-1059	62	15	improved	improved	ADJ
cana-1059	62	16	personalization	personalization	NOUN
cana-1059	62	17	in	in	ADP
cana-1059	62	18	hybrid	hybrid	ADJ
cana-1059	62	19	recommender	recommender	NOUN
cana-1059	62	20	systems	system	NOUN
cana-1059	62	21	.	.	PUNCT
cana-1059	63	1	hwang	hwang	PROPN
cana-1059	63	2	and	and	CCONJ
cana-1059	63	3	li	li	PROPN
cana-1059	63	4	(	(	PUNCT
cana-1059	63	5	2014	2014	NUM
cana-1059	63	6	)	)	PUNCT
cana-1059	64	1	[	[	X
cana-1059	64	2	16	16	NUM
cana-1059	64	3	]	]	PUNCT
cana-1059	64	4	propose	propose	VERB
cana-1059	64	5	that	that	SCONJ
cana-1059	64	6	considering	consider	VERB
cana-1059	64	7	demographic	demographic	ADJ
cana-1059	64	8	attributes	attribute	NOUN
cana-1059	64	9	can	can	AUX
cana-1059	64	10	enhance	enhance	VERB
cana-1059	64	11	recommendation	recommendation	NOUN
cana-1059	64	12	accuracy	accuracy	NOUN
cana-1059	64	13	,	,	PUNCT
cana-1059	64	14	relevance	relevance	NOUN
cana-1059	64	15	,	,	PUNCT
cana-1059	64	16	user	user	NOUN
cana-1059	64	17	interaction	interaction	NOUN
cana-1059	64	18	,	,	PUNCT
cana-1059	64	19	and	and	CCONJ
cana-1059	64	20	satisfaction	satisfaction	NOUN
cana-1059	64	21	.	.	PUNCT
cana-1059	65	1	wu	wu	PROPN
cana-1059	65	2	et	et	PROPN
cana-1059	65	3	al	al	PROPN
cana-1059	65	4	.	.	PROPN
cana-1059	66	1	(	(	PUNCT
cana-1059	66	2	2019	2019	NUM
cana-1059	66	3	)	)	PUNCT
cana-1059	67	1	[	[	X
cana-1059	67	2	17	17	NUM
cana-1059	67	3	]	]	PUNCT
cana-1059	67	4	highlight	highlight	VERB
cana-1059	67	5	the	the	DET
cana-1059	67	6	shift	shift	NOUN
cana-1059	67	7	from	from	ADP
cana-1059	67	8	prioritizing	prioritize	VERB
cana-1059	67	9	pure	pure	ADJ
cana-1059	67	10	accuracy	accuracy	NOUN
cana-1059	67	11	to	to	ADP
cana-1059	67	12	incorporating	incorporate	VERB
cana-1059	67	13	diversity	diversity	NOUN
cana-1059	67	14	for	for	ADP
cana-1059	67	15	user	user	NOUN
cana-1059	67	16	satisfaction	satisfaction	NOUN
cana-1059	67	17	in	in	ADP
cana-1059	67	18	recommender	recommender	NOUN
cana-1059	67	19	systems	system	NOUN
cana-1059	67	20	.	.	PUNCT
cana-1059	68	1	other	other	ADJ
cana-1059	68	2	studies	study	NOUN
cana-1059	68	3	explore	explore	VERB
cana-1059	68	4	alternative	alternative	ADJ
cana-1059	68	5	personalization	personalization	NOUN
cana-1059	68	6	approaches	approach	NOUN
cana-1059	68	7	.	.	PUNCT
cana-1059	69	1	liang	liang	PROPN
cana-1059	69	2	et	et	PROPN
cana-1059	69	3	al	al	PROPN
cana-1059	69	4	.	.	PROPN
cana-1059	69	5	(	(	PUNCT
cana-1059	69	6	2020	2020	NUM
cana-1059	69	7	)	)	PUNCT
cana-1059	70	1	[	[	X
cana-1059	70	2	18	18	NUM
cana-1059	70	3	]	]	PUNCT
cana-1059	70	4	present	present	NOUN
cana-1059	70	5	an	an	DET
cana-1059	70	6	e	e	NOUN
cana-1059	70	7	-	-	NOUN
cana-1059	70	8	commerce	commerce	NOUN
cana-1059	70	9	recommendation	recommendation	NOUN
cana-1059	70	10	system	system	NOUN
cana-1059	70	11	that	that	PRON
cana-1059	70	12	leverages	leverage	VERB
cana-1059	70	13	social	social	ADJ
cana-1059	70	14	connections	connection	NOUN
cana-1059	70	15	and	and	CCONJ
cana-1059	70	16	product	product	NOUN
cana-1059	70	17	comparisons	comparison	NOUN
cana-1059	70	18	for	for	ADP
cana-1059	70	19	personalized	personalized	ADJ
cana-1059	70	20	suggestions	suggestion	NOUN
cana-1059	70	21	.	.	PUNCT
cana-1059	71	1	modarresi	modarresi	NOUN
cana-1059	71	2	(	(	PUNCT
cana-1059	71	3	2016	2016	NUM
cana-1059	71	4	)	)	PUNCT
cana-1059	72	1	[	[	X
cana-1059	72	2	19	19	NUM
cana-1059	72	3	]	]	PUNCT
cana-1059	72	4	proposes	propose	VERB
cana-1059	72	5	a	a	DET
cana-1059	72	6	new	new	ADJ
cana-1059	72	7	method	method	NOUN
cana-1059	72	8	for	for	ADP
cana-1059	72	9	fully	fully	ADV
cana-1059	72	10	personalized	personalize	VERB
cana-1059	72	11	recommendations	recommendation	NOUN
cana-1059	72	12	by	by	ADP
cana-1059	72	13	combining	combine	VERB
cana-1059	72	14	existing	exist	VERB
cana-1059	72	15	techniques	technique	NOUN
cana-1059	72	16	with	with	ADP
cana-1059	72	17	adaptive	adaptive	ADJ
cana-1059	72	18	personalization	personalization	NOUN
cana-1059	72	19	for	for	ADP
cana-1059	72	20	both	both	DET
cana-1059	72	21	users	user	NOUN
cana-1059	72	22	and	and	CCONJ
cana-1059	72	23	content	content	NOUN
cana-1059	72	24	.	.	PUNCT
cana-1059	73	1	attention	attention	NOUN
cana-1059	73	2	mechanisms	mechanism	NOUN
cana-1059	73	3	are	be	AUX
cana-1059	73	4	another	another	DET
cana-1059	73	5	recent	recent	ADJ
cana-1059	73	6	advancement	advancement	NOUN
cana-1059	73	7	in	in	ADP
cana-1059	73	8	recommender	recommender	NOUN
cana-1059	73	9	systems	system	NOUN
cana-1059	73	10	.	.	PUNCT
cana-1059	74	1	liu	liu	PROPN
cana-1059	74	2	et	et	PROPN
cana-1059	74	3	al	al	PROPN
cana-1059	74	4	.	.	PROPN
cana-1059	75	1	(	(	PUNCT
cana-1059	75	2	2024	2024	NUM
cana-1059	75	3	)	)	PUNCT
cana-1059	76	1	[	[	X
cana-1059	76	2	20	20	NUM
cana-1059	76	3	]	]	PUNCT
cana-1059	76	4	investigate	investigate	VERB
cana-1059	76	5	news	news	NOUN
cana-1059	76	6	recommendation	recommendation	NOUN
cana-1059	76	7	,	,	PUNCT
cana-1059	76	8	introducing	introduce	VERB
cana-1059	76	9	and	and	CCONJ
cana-1059	76	10	evaluating	evaluate	VERB
cana-1059	76	11	nram	nram	PROPN
cana-1059	76	12	,	,	PUNCT
cana-1059	76	13	an	an	DET
cana-1059	76	14	attention	attention	NOUN
cana-1059	76	15	-	-	PUNCT
cana-1059	76	16	based	base	VERB
cana-1059	76	17	approach	approach	NOUN
cana-1059	76	18	for	for	ADP
cana-1059	76	19	personalized	personalized	ADJ
cana-1059	76	20	news	news	NOUN
cana-1059	76	21	content	content	NOUN
cana-1059	76	22	on	on	ADP
cana-1059	76	23	digital	digital	ADJ
cana-1059	76	24	platforms	platform	NOUN
cana-1059	76	25	.	.	PUNCT
cana-1059	77	1	deep	deep	ADJ
cana-1059	77	2	learning	learning	NOUN
cana-1059	77	3	approaches	approach	NOUN
cana-1059	77	4	are	be	AUX
cana-1059	77	5	also	also	ADV
cana-1059	77	6	gaining	gain	VERB
cana-1059	77	7	traction	traction	NOUN
cana-1059	77	8	in	in	ADP
cana-1059	77	9	recommender	recommender	NOUN
cana-1059	77	10	systems	system	NOUN
cana-1059	77	11	.	.	PUNCT
cana-1059	78	1	siet	siet	PROPN
cana-1059	78	2	et	et	PROPN
cana-1059	78	3	al	al	PROPN
cana-1059	78	4	.	.	PROPN
cana-1059	79	1	(	(	PUNCT
cana-1059	79	2	2024	2024	NUM
cana-1059	79	3	)	)	PUNCT
cana-1059	80	1	[	[	X
cana-1059	80	2	21	21	NUM
cana-1059	80	3	]	]	X
cana-1059	80	4	propose	propose	VERB
cana-1059	80	5	a	a	DET
cana-1059	80	6	deep	deep	ADJ
cana-1059	80	7	learning	learning	NOUN
cana-1059	80	8	-	-	PUNCT
cana-1059	80	9	based	base	VERB
cana-1059	80	10	movie	movie	NOUN
cana-1059	80	11	recommender	recommender	NOUN
cana-1059	80	12	system	system	NOUN
cana-1059	80	13	that	that	PRON
cana-1059	80	14	employs	employ	VERB
cana-1059	80	15	a	a	DET
cana-1059	80	16	transformer	transformer	ADJ
cana-1059	80	17	architecture	architecture	NOUN
cana-1059	80	18	to	to	PART
cana-1059	80	19	capture	capture	VERB
cana-1059	80	20	long	long	ADJ
cana-1059	80	21	-	-	PUNCT
cana-1059	80	22	range	range	NOUN
cana-1059	80	23	dependencies	dependency	NOUN
cana-1059	80	24	in	in	ADP
cana-1059	80	25	user	user	NOUN
cana-1059	80	26	behaviour	behaviour	NOUN
cana-1059	80	27	sequences	sequence	NOUN
cana-1059	80	28	and	and	CCONJ
cana-1059	80	29	leverages	leverage	NOUN
cana-1059	80	30	k	k	NOUN
cana-1059	80	31	-	-	PUNCT
cana-1059	80	32	means	means	NOUN
cana-1059	80	33	clustering	cluster	VERB
cana-1059	80	34	to	to	PART
cana-1059	80	35	ensure	ensure	VERB
cana-1059	80	36	recommendation	recommendation	NOUN
cana-1059	80	37	diversity	diversity	NOUN
cana-1059	80	38	.	.	PUNCT
cana-1059	81	1	this	this	DET
cana-1059	81	2	approach	approach	NOUN
cana-1059	81	3	addresses	address	VERB
cana-1059	81	4	data	datum	NOUN
cana-1059	81	5	sparsity	sparsity	NOUN
cana-1059	81	6	,	,	PUNCT
cana-1059	81	7	scalability	scalability	NOUN
cana-1059	81	8	,	,	PUNCT
cana-1059	81	9	and	and	CCONJ
cana-1059	81	10	cold	cold	ADJ
cana-1059	81	11	start	start	NOUN
cana-1059	81	12	issues	issue	NOUN
cana-1059	81	13	,	,	PUNCT
cana-1059	81	14	making	make	VERB
cana-1059	81	15	it	it	PRON
cana-1059	81	16	effective	effective	ADJ
cana-1059	81	17	for	for	ADP
cana-1059	81	18	personalized	personalize	VERB
cana-1059	81	19	movie	movie	NOUN
cana-1059	81	20	recommendations	recommendation	NOUN
cana-1059	81	21	.	.	PUNCT
cana-1059	82	1	a	a	DET
cana-1059	82	2	significant	significant	ADJ
cana-1059	82	3	hurdle	hurdle	NOUN
cana-1059	82	4	for	for	ADP
cana-1059	82	5	recommender	recommender	NOUN
cana-1059	82	6	systems	system	NOUN
cana-1059	82	7	is	be	AUX
cana-1059	82	8	the	the	DET
cana-1059	82	9	cold	cold	ADJ
cana-1059	82	10	-	-	PUNCT
cana-1059	82	11	start	start	NOUN
cana-1059	82	12	problem	problem	NOUN
cana-1059	82	13	.	.	PUNCT
cana-1059	83	1	this	this	DET
cana-1059	83	2	issue	issue	NOUN
cana-1059	83	3	manifests	manifest	VERB
cana-1059	83	4	in	in	ADP
cana-1059	83	5	two	two	NUM
cana-1059	83	6	primary	primary	ADJ
cana-1059	83	7	scenarios	scenario	NOUN
cana-1059	83	8	.	.	PUNCT
cana-1059	84	1	firstly	firstly	ADV
cana-1059	84	2	,	,	PUNCT
cana-1059	84	3	when	when	SCONJ
cana-1059	84	4	a	a	DET
cana-1059	84	5	new	new	ADJ
cana-1059	84	6	user	user	NOUN
cana-1059	84	7	joins	join	VERB
cana-1059	84	8	the	the	DET
cana-1059	84	9	system	system	NOUN
cana-1059	84	10	,	,	PUNCT
cana-1059	84	11	there	there	PRON
cana-1059	84	12	is	be	VERB
cana-1059	84	13	limited	limited	ADJ
cana-1059	84	14	or	or	CCONJ
cana-1059	84	15	no	no	DET
cana-1059	84	16	data	datum	NOUN
cana-1059	84	17	about	about	ADP
cana-1059	84	18	their	their	PRON
cana-1059	84	19	preferences	preference	NOUN
cana-1059	84	20	,	,	PUNCT
cana-1059	84	21	making	make	VERB
cana-1059	84	22	it	it	PRON
cana-1059	84	23	difficult	difficult	ADJ
cana-1059	84	24	to	to	PART
cana-1059	84	25	recommend	recommend	VERB
cana-1059	84	26	relevant	relevant	ADJ
cana-1059	84	27	items	item	NOUN
cana-1059	84	28	[	[	X
cana-1059	84	29	22][23][24	22][23][24	X
cana-1059	84	30	]	]	X
cana-1059	84	31	.	.	PUNCT
cana-1059	85	1	secondly	secondly	ADV
cana-1059	85	2	,	,	PUNCT
cana-1059	85	3	when	when	SCONJ
cana-1059	85	4	a	a	DET
cana-1059	85	5	new	new	ADJ
cana-1059	85	6	item	item	NOUN
cana-1059	85	7	is	be	AUX
cana-1059	85	8	added	add	VERB
cana-1059	85	9	to	to	ADP
cana-1059	85	10	the	the	DET
cana-1059	85	11	system	system	NOUN
cana-1059	85	12	,	,	PUNCT
cana-1059	85	13	there	there	PRON
cana-1059	85	14	is	be	VERB
cana-1059	85	15	a	a	DET
cana-1059	85	16	lack	lack	NOUN
cana-1059	85	17	of	of	ADP
cana-1059	85	18	user	user	NOUN
cana-1059	85	19	interaction	interaction	NOUN
cana-1059	85	20	data	datum	NOUN
cana-1059	85	21	for	for	ADP
cana-1059	85	22	that	that	DET
cana-1059	85	23	item	item	NOUN
cana-1059	85	24	,	,	PUNCT
cana-1059	85	25	hindering	hinder	VERB
cana-1059	85	26	the	the	DET
cana-1059	85	27	ability	ability	NOUN
cana-1059	85	28	to	to	PART
cana-1059	85	29	recommend	recommend	VERB
cana-1059	85	30	it	it	PRON
cana-1059	85	31	effectively	effectively	ADV
cana-1059	85	32	[	[	X
cana-1059	85	33	25	25	NUM
cana-1059	85	34	]	]	PUNCT
cana-1059	85	35	.	.	PUNCT
cana-1059	86	1	several	several	ADJ
cana-1059	86	2	techniques	technique	NOUN
cana-1059	86	3	have	have	AUX
cana-1059	86	4	been	be	AUX
cana-1059	86	5	proposed	propose	VERB
cana-1059	86	6	to	to	PART
cana-1059	86	7	address	address	VERB
cana-1059	86	8	the	the	DET
cana-1059	86	9	cold	cold	ADJ
cana-1059	86	10	-	-	PUNCT
cana-1059	86	11	start	start	NOUN
cana-1059	86	12	problem	problem	NOUN
cana-1059	86	13	.	.	PUNCT
cana-1059	87	1	demographic	demographic	ADJ
cana-1059	87	2	-	-	PUNCT
cana-1059	87	3	based	base	VERB
cana-1059	87	4	approaches	approach	NOUN
cana-1059	87	5	leverage	leverage	NOUN
cana-1059	87	6	user	user	NOUN
cana-1059	87	7	demographics	demographic	NOUN
cana-1059	87	8	(	(	PUNCT
cana-1059	87	9	e.g.	e.g.	ADV
cana-1059	87	10	,	,	PUNCT
cana-1059	87	11	age	age	NOUN
cana-1059	87	12	,	,	PUNCT
cana-1059	87	13	gender	gender	NOUN
cana-1059	87	14	,	,	PUNCT
cana-1059	87	15	interests	interest	NOUN
cana-1059	87	16	)	)	PUNCT
cana-1059	87	17	to	to	PART
cana-1059	87	18	recommend	recommend	VERB
cana-1059	87	19	items	item	NOUN
cana-1059	87	20	for	for	ADP
cana-1059	87	21	new	new	ADJ
cana-1059	87	22	users	user	NOUN
cana-1059	87	23	with	with	ADP
cana-1059	87	24	no	no	DET
cana-1059	87	25	interaction	interaction	NOUN
cana-1059	87	26	history	history	NOUN
cana-1059	88	1	[	[	X
cana-1059	88	2	24][26	24][26	NOUN
cana-1059	88	3	]	]	X
cana-1059	88	4	.	.	PUNCT
cana-1059	89	1	this	this	PRON
cana-1059	89	2	aligns	align	VERB
cana-1059	89	3	with	with	ADP
cana-1059	89	4	research	research	NOUN
cana-1059	89	5	suggesting	suggest	VERB
cana-1059	89	6	the	the	DET
cana-1059	89	7	potential	potential	NOUN
cana-1059	89	8	of	of	ADP
cana-1059	89	9	demographics	demographic	NOUN
cana-1059	89	10	in	in	ADP
cana-1059	89	11	recommender	recommender	NOUN
cana-1059	89	12	systems	system	NOUN
cana-1059	89	13	[	[	X
cana-1059	89	14	8	8	NUM
cana-1059	89	15	]	]	PUNCT
cana-1059	89	16	.	.	PUNCT
cana-1059	90	1	combining	combine	VERB
cana-1059	90	2	collaborative	collaborative	ADJ
cana-1059	90	3	filtering	filtering	NOUN
cana-1059	90	4	(	(	PUNCT
cana-1059	90	5	cf	cf	NOUN
cana-1059	90	6	)	)	PUNCT
cana-1059	90	7	with	with	ADP
cana-1059	90	8	content	content	NOUN
cana-1059	90	9	-	-	PUNCT
cana-1059	90	10	based	base	VERB
cana-1059	90	11	filtering	filtering	NOUN
cana-1059	90	12	or	or	CCONJ
cana-1059	90	13	other	other	ADJ
cana-1059	90	14	techniques	technique	NOUN
cana-1059	90	15	can	can	AUX
cana-1059	90	16	improve	improve	VERB
cana-1059	90	17	recommendations	recommendation	NOUN
cana-1059	90	18	for	for	ADP
cana-1059	90	19	new	new	ADJ
cana-1059	90	20	users	user	NOUN
cana-1059	90	21	.	.	PUNCT
cana-1059	91	1	cf	cf	NOUN
cana-1059	91	2	leverages	leverage	NOUN
cana-1059	91	3	user	user	NOUN
cana-1059	91	4	-	-	PUNCT
cana-1059	91	5	item	item	NOUN
cana-1059	91	6	interactions	interaction	NOUN
cana-1059	91	7	,	,	PUNCT
cana-1059	91	8	while	while	SCONJ
cana-1059	91	9	content	content	NOUN
cana-1059	91	10	-	-	PUNCT
cana-1059	91	11	based	base	VERB
cana-1059	91	12	filtering	filtering	NOUN
cana-1059	91	13	utilizes	utilize	NOUN
cana-1059	91	14	item	item	NOUN
cana-1059	91	15	attributes	attribute	VERB
cana-1059	92	1	[	[	X
cana-1059	92	2	23][27	23][27	NOUN
cana-1059	92	3	]	]	PUNCT
cana-1059	92	4	.	.	PUNCT
cana-1059	93	1	by	by	ADP
cana-1059	93	2	calculating	calculate	VERB
cana-1059	93	3	the	the	DET
cana-1059	93	4	similarity	similarity	NOUN
cana-1059	93	5	between	between	ADP
cana-1059	93	6	new	new	ADJ
cana-1059	93	7	items	item	NOUN
cana-1059	93	8	and	and	CCONJ
cana-1059	93	9	existing	exist	VERB
cana-1059	93	10	items	item	NOUN
cana-1059	93	11	based	base	VERB
cana-1059	93	12	on	on	ADP
cana-1059	93	13	attributes	attribute	NOUN
cana-1059	93	14	or	or	CCONJ
cana-1059	93	15	user	user	NOUN
cana-1059	93	16	interactions	interaction	NOUN
cana-1059	93	17	,	,	PUNCT
cana-1059	93	18	recommendations	recommendation	NOUN
cana-1059	93	19	can	can	AUX
cana-1059	93	20	be	be	AUX
cana-1059	93	21	generated	generate	VERB
cana-1059	93	22	for	for	ADP
cana-1059	93	23	new	new	ADJ
cana-1059	93	24	items	item	NOUN
cana-1059	93	25	with	with	ADP
cana-1059	93	26	limited	limited	ADJ
cana-1059	93	27	data	datum	NOUN
cana-1059	93	28	[	[	X
cana-1059	93	29	25	25	NUM
cana-1059	93	30	]	]	PUNCT
cana-1059	93	31	.	.	PUNCT
cana-1059	94	1	gathering	gather	VERB
cana-1059	94	2	information	information	NOUN
cana-1059	94	3	from	from	ADP
cana-1059	94	4	new	new	ADJ
cana-1059	94	5	users	user	NOUN
cana-1059	94	6	through	through	ADP
cana-1059	94	7	brief	brief	ADJ
cana-1059	94	8	interviews	interview	NOUN
cana-1059	94	9	or	or	CCONJ
cana-1059	94	10	questionnaires	questionnaire	NOUN
cana-1059	94	11	can	can	AUX
cana-1059	94	12	help	help	VERB
cana-1059	94	13	build	build	VERB
cana-1059	94	14	their	their	PRON
cana-1059	94	15	profile	profile	NOUN
cana-1059	94	16	and	and	CCONJ
cana-1059	94	17	enable	enable	VERB
cana-1059	94	18	recommendations	recommendation	NOUN
cana-1059	94	19	[	[	X
cana-1059	94	20	28	28	NUM
cana-1059	94	21	]	]	PUNCT
cana-1059	94	22	.	.	PUNCT
cana-1059	95	1	research	research	NOUN
cana-1059	95	2	is	be	AUX
cana-1059	95	3	ongoing	ongoing	ADJ
cana-1059	95	4	to	to	PART
cana-1059	95	5	develop	develop	VERB
cana-1059	95	6	more	more	ADV
cana-1059	95	7	sophisticated	sophisticated	ADJ
cana-1059	95	8	techniques	technique	NOUN
cana-1059	95	9	for	for	ADP
cana-1059	95	10	mitigating	mitigate	VERB
cana-1059	95	11	the	the	DET
cana-1059	95	12	cold	cold	ADJ
cana-1059	95	13	-	-	PUNCT
cana-1059	95	14	start	start	NOUN
cana-1059	95	15	problem	problem	NOUN
cana-1059	95	16	.	.	PUNCT
cana-1059	96	1	revathy	revathy	PROPN
cana-1059	96	2	and	and	CCONJ
cana-1059	96	3	anitha	anitha	NOUN
cana-1059	96	4	et	et	PROPN
cana-1059	96	5	al	al	PROPN
cana-1059	96	6	.	.	PUNCT
cana-1059	97	1	[	[	X
cana-1059	97	2	22	22	NUM
cana-1059	97	3	]	]	PUNCT
cana-1059	97	4	delve	delve	VERB
cana-1059	97	5	into	into	ADP
cana-1059	97	6	the	the	DET
cana-1059	97	7	cold	cold	ADJ
cana-1059	97	8	-	-	PUNCT
cana-1059	97	9	start	start	NOUN
cana-1059	97	10	problem	problem	NOUN
cana-1059	97	11	specific	specific	ADJ
cana-1059	97	12	to	to	ADP
cana-1059	97	13	social	social	ADJ
cana-1059	97	14	recommender	recommender	NOUN
cana-1059	97	15	systems	system	NOUN
cana-1059	97	16	,	,	PUNCT
cana-1059	97	17	where	where	SCONJ
cana-1059	97	18	collaborative	collaborative	ADJ
cana-1059	97	19	filtering	filtering	NOUN
cana-1059	97	20	struggles	struggle	NOUN
cana-1059	97	21	due	due	ADP
cana-1059	97	22	to	to	ADP
cana-1059	97	23	a	a	DET
cana-1059	97	24	lack	lack	NOUN
cana-1059	97	25	of	of	ADP
cana-1059	97	26	user	user	NOUN
cana-1059	97	27	data	datum	NOUN
cana-1059	97	28	.	.	PUNCT
cana-1059	98	1	they	they	PRON
cana-1059	98	2	explore	explore	VERB
cana-1059	98	3	various	various	ADJ
cana-1059	98	4	solutions	solution	NOUN
cana-1059	98	5	to	to	PART
cana-1059	98	6	improve	improve	VERB
cana-1059	98	7	recommendation	recommendation	NOUN
cana-1059	98	8	accuracy	accuracy	NOUN
cana-1059	98	9	for	for	ADP
cana-1059	98	10	new	new	ADJ
cana-1059	98	11	users	user	NOUN
cana-1059	98	12	in	in	ADP
cana-1059	98	13	social	social	ADJ
cana-1059	98	14	settings	setting	NOUN
cana-1059	98	15	.	.	PUNCT
cana-1059	99	1	lam	lam	PROPN
cana-1059	99	2	et	et	PROPN
cana-1059	99	3	al	al	PROPN
cana-1059	99	4	.	.	PUNCT
cana-1059	100	1	[	[	X
cana-1059	100	2	23	23	NUM
cana-1059	100	3	]	]	X
cana-1059	100	4	propose	propose	VERB
cana-1059	100	5	a	a	DET
cana-1059	100	6	hybrid	hybrid	ADJ
cana-1059	100	7	model	model	NOUN
cana-1059	100	8	that	that	PRON
cana-1059	100	9	merges	merge	VERB
cana-1059	100	10	cf	cf	NOUN
cana-1059	100	11	with	with	ADP
cana-1059	100	12	user	user	NOUN
cana-1059	100	13	information	information	NOUN
cana-1059	100	14	through	through	ADP
cana-1059	100	15	probabilistic	probabilistic	ADJ
cana-1059	100	16	aspects	aspect	NOUN
cana-1059	100	17	to	to	PART
cana-1059	100	18	address	address	VERB
cana-1059	100	19	the	the	DET
cana-1059	100	20	user	user	NOUN
cana-1059	100	21	-	-	PUNCT
cana-1059	100	22	side	side	NOUN
cana-1059	100	23	cold	cold	ADJ
cana-1059	100	24	-	-	PUNCT
cana-1059	100	25	start	start	NOUN
cana-1059	100	26	problem	problem	NOUN
cana-1059	100	27	.	.	PUNCT
cana-1059	101	1	their	their	PRON
cana-1059	101	2	findings	finding	NOUN
cana-1059	101	3	demonstrate	demonstrate	VERB
cana-1059	101	4	significant	significant	ADJ
cana-1059	101	5	improvements	improvement	NOUN
cana-1059	101	6	in	in	ADP
cana-1059	101	7	recommendation	recommendation	NOUN
cana-1059	101	8	accuracy	accuracy	NOUN
cana-1059	101	9	for	for	ADP
cana-1059	101	10	new	new	ADJ
cana-1059	101	11	users	user	NOUN
cana-1059	101	12	.	.	PUNCT
cana-1059	102	1	pandey	pandey	PROPN
cana-1059	102	2	and	and	CCONJ
cana-1059	102	3	rajpoot	rajpoot	PROPN
cana-1059	102	4	at	at	ADP
cana-1059	102	5	al	al	PROPN
cana-1059	102	6	.	.	PUNCT
cana-1059	103	1	[	[	X
cana-1059	103	2	24	24	NUM
cana-1059	103	3	]	]	PUNCT
cana-1059	103	4	explore	explore	VERB
cana-1059	103	5	a	a	DET
cana-1059	103	6	demographic	demographic	ADJ
cana-1059	103	7	-	-	PUNCT
cana-1059	103	8	based	base	VERB
cana-1059	103	9	recommendation	recommendation	NOUN
cana-1059	103	10	system	system	NOUN
cana-1059	103	11	for	for	ADP
cana-1059	103	12	movies	movie	NOUN
cana-1059	103	13	specifically	specifically	ADV
cana-1059	103	14	focused	focus	VERB
cana-1059	103	15	on	on	ADP
cana-1059	103	16	new	new	ADJ
cana-1059	103	17	users	user	NOUN
cana-1059	103	18	lacking	lack	VERB
cana-1059	103	19	any	any	DET
cana-1059	103	20	communications	communication	NOUN
cana-1059	103	21	on	on	ADP
cana-1059	103	22	applied	apply	VERB
cana-1059	103	23	nonlinear	nonlinear	ADJ
cana-1059	103	24	analysis	analysis	NOUN
cana-1059	103	25	issn	issn	NOUN
cana-1059	103	26	:	:	PUNCT
cana-1059	103	27	1074	1074	NUM
cana-1059	103	28	-	-	PUNCT
cana-1059	103	29	133x	133x	NUM
cana-1059	103	30	vol	vol	NOUN
cana-1059	103	31	31	31	NUM
cana-1059	103	32	no	no	NOUN
cana-1059	103	33	.	.	PUNCT
cana-1059	104	1	5s	5s	NUM
cana-1059	104	2	(	(	PUNCT
cana-1059	104	3	2024	2024	NUM
cana-1059	104	4	)	)	PUNCT
cana-1059	104	5	401	401	NUM
cana-1059	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	104	7	rating	rating	NOUN
cana-1059	104	8	history	history	NOUN
cana-1059	104	9	.	.	PUNCT
cana-1059	105	1	their	their	PRON
cana-1059	105	2	work	work	NOUN
cana-1059	105	3	highlights	highlight	VERB
cana-1059	105	4	the	the	DET
cana-1059	105	5	potential	potential	NOUN
cana-1059	105	6	of	of	ADP
cana-1059	105	7	demographics	demographic	NOUN
cana-1059	105	8	in	in	ADP
cana-1059	105	9	mitigating	mitigate	VERB
cana-1059	105	10	cold	cold	NOUN
cana-1059	105	11	-	-	PUNCT
cana-1059	105	12	start	start	NOUN
cana-1059	105	13	for	for	ADP
cana-1059	105	14	new	new	ADJ
cana-1059	105	15	users	user	NOUN
cana-1059	105	16	.	.	PUNCT
cana-1059	106	1	lika	lika	PROPN
cana-1059	106	2	et	et	PROPN
cana-1059	106	3	al	al	PROPN
cana-1059	106	4	.	.	PUNCT
cana-1059	107	1	[	[	X
cana-1059	107	2	26	26	NUM
cana-1059	107	3	]	]	X
cana-1059	107	4	propose	propose	VERB
cana-1059	107	5	a	a	DET
cana-1059	107	6	cf	cf	NOUN
cana-1059	107	7	approach	approach	NOUN
cana-1059	107	8	that	that	PRON
cana-1059	107	9	utilizes	utilize	VERB
cana-1059	107	10	user	user	NOUN
cana-1059	107	11	classification	classification	NOUN
cana-1059	107	12	and	and	CCONJ
cana-1059	107	13	similarity	similarity	NOUN
cana-1059	107	14	to	to	PART
cana-1059	107	15	tackle	tackle	VERB
cana-1059	107	16	the	the	DET
cana-1059	107	17	user	user	NOUN
cana-1059	107	18	-	-	PUNCT
cana-1059	107	19	side	side	NOUN
cana-1059	107	20	cold	cold	ADJ
cana-1059	107	21	-	-	PUNCT
cana-1059	107	22	start	start	NOUN
cana-1059	107	23	problem	problem	NOUN
cana-1059	107	24	.	.	PUNCT
cana-1059	108	1	their	their	PRON
cana-1059	108	2	model	model	NOUN
cana-1059	108	3	classifies	classify	VERB
cana-1059	108	4	new	new	ADJ
cana-1059	108	5	users	user	NOUN
cana-1059	108	6	based	base	VERB
cana-1059	108	7	on	on	ADP
cana-1059	108	8	demographics	demographic	NOUN
cana-1059	108	9	and	and	CCONJ
cana-1059	108	10	leverages	leverage	VERB
cana-1059	108	11	similarity	similarity	NOUN
cana-1059	108	12	techniques	technique	NOUN
cana-1059	108	13	to	to	PART
cana-1059	108	14	find	find	VERB
cana-1059	108	15	similar	similar	ADJ
cana-1059	108	16	existing	exist	VERB
cana-1059	108	17	users	user	NOUN
cana-1059	108	18	.	.	PUNCT
cana-1059	109	1	this	this	PRON
cana-1059	109	2	enables	enable	VERB
cana-1059	109	3	rating	rating	NOUN
cana-1059	109	4	prediction	prediction	NOUN
cana-1059	109	5	for	for	ADP
cana-1059	109	6	new	new	ADJ
cana-1059	109	7	users	user	NOUN
cana-1059	109	8	without	without	ADP
cana-1059	109	9	relying	rely	VERB
cana-1059	109	10	solely	solely	ADV
cana-1059	109	11	on	on	ADP
cana-1059	109	12	their	their	PRON
cana-1059	109	13	interaction	interaction	NOUN
cana-1059	109	14	history	history	NOUN
cana-1059	109	15	.	.	PUNCT
cana-1059	110	1	by	by	ADP
cana-1059	110	2	incorporating	incorporate	VERB
cana-1059	110	3	these	these	DET
cana-1059	110	4	advancements	advancement	NOUN
cana-1059	110	5	,	,	PUNCT
cana-1059	110	6	recommender	recommender	NOUN
cana-1059	110	7	systems	system	NOUN
cana-1059	110	8	can	can	AUX
cana-1059	110	9	provide	provide	VERB
cana-1059	110	10	more	more	ADV
cana-1059	110	11	effective	effective	ADJ
cana-1059	110	12	recommendations	recommendation	NOUN
cana-1059	110	13	even	even	ADV
cana-1059	110	14	for	for	ADP
cana-1059	110	15	new	new	ADJ
cana-1059	110	16	users	user	NOUN
cana-1059	110	17	or	or	CCONJ
cana-1059	110	18	items	item	NOUN
cana-1059	110	19	with	with	ADP
cana-1059	110	20	limited	limited	ADJ
cana-1059	110	21	interaction	interaction	NOUN
cana-1059	110	22	data	datum	NOUN
cana-1059	110	23	.	.	PUNCT
cana-1059	111	1	in	in	ADP
cana-1059	111	2	conclusion	conclusion	NOUN
cana-1059	111	3	,	,	PUNCT
cana-1059	111	4	incorporating	incorporate	VERB
cana-1059	111	5	user	user	NOUN
cana-1059	111	6	demographics	demographic	NOUN
cana-1059	111	7	into	into	ADP
cana-1059	111	8	recommendation	recommendation	NOUN
cana-1059	111	9	algorithms	algorithm	NOUN
cana-1059	111	10	is	be	AUX
cana-1059	111	11	gaining	gain	VERB
cana-1059	111	12	traction	traction	NOUN
cana-1059	111	13	to	to	PART
cana-1059	111	14	address	address	VERB
cana-1059	111	15	limitations	limitation	NOUN
cana-1059	111	16	such	such	ADJ
cana-1059	111	17	as	as	ADP
cana-1059	111	18	popularity	popularity	NOUN
cana-1059	111	19	bias	bias	NOUN
cana-1059	111	20	and	and	CCONJ
cana-1059	111	21	lack	lack	NOUN
cana-1059	111	22	of	of	ADP
cana-1059	111	23	diversity	diversity	NOUN
cana-1059	111	24	.	.	PUNCT
cana-1059	112	1	while	while	SCONJ
cana-1059	112	2	group	group	NOUN
cana-1059	112	3	recommender	recommender	NOUN
cana-1059	112	4	systems	system	NOUN
cana-1059	112	5	and	and	CCONJ
cana-1059	112	6	demographic	demographic	ADJ
cana-1059	112	7	aware	aware	ADJ
cana-1059	112	8	personalization	personalization	NOUN
cana-1059	112	9	techniques	technique	NOUN
cana-1059	112	10	offer	offer	VERB
cana-1059	112	11	promising	promising	ADJ
cana-1059	112	12	solutions	solution	NOUN
cana-1059	112	13	,	,	PUNCT
cana-1059	112	14	further	further	ADJ
cana-1059	112	15	research	research	NOUN
cana-1059	112	16	is	be	AUX
cana-1059	112	17	needed	need	VERB
cana-1059	112	18	to	to	PART
cana-1059	112	19	overcome	overcome	VERB
cana-1059	112	20	existing	exist	VERB
cana-1059	112	21	challenges	challenge	NOUN
cana-1059	112	22	and	and	CCONJ
cana-1059	112	23	ensure	ensure	VERB
cana-1059	112	24	the	the	DET
cana-1059	112	25	effectiveness	effectiveness	NOUN
cana-1059	112	26	of	of	ADP
cana-1059	112	27	these	these	DET
cana-1059	112	28	approaches	approach	NOUN
cana-1059	112	29	in	in	ADP
cana-1059	112	30	real	real	ADJ
cana-1059	112	31	-	-	PUNCT
cana-1059	112	32	world	world	NOUN
cana-1059	112	33	applications	application	NOUN
cana-1059	112	34	.	.	PUNCT
cana-1059	113	1	3	3	X
cana-1059	113	2	.	.	X
cana-1059	113	3	the	the	DET
cana-1059	113	4	arnn	arnn	NOUN
cana-1059	113	5	:	:	PUNCT
cana-1059	113	6	a	a	DET
cana-1059	113	7	hybrid	hybrid	ADJ
cana-1059	113	8	recommendation	recommendation	NOUN
cana-1059	113	9	system	system	NOUN
cana-1059	113	10	with	with	ADP
cana-1059	113	11	enhanced	enhanced	ADJ
cana-1059	113	12	representation	representation	NOUN
cana-1059	113	13	learning	learn	VERB
cana-1059	113	14	this	this	DET
cana-1059	113	15	paper	paper	NOUN
cana-1059	113	16	proposes	propose	VERB
cana-1059	113	17	a	a	DET
cana-1059	113	18	novel	novel	ADJ
cana-1059	113	19	hybrid	hybrid	ADJ
cana-1059	113	20	recommender	recommender	NOUN
cana-1059	113	21	system	system	NOUN
cana-1059	113	22	,	,	PUNCT
cana-1059	113	23	arnn	arnn	VERB
cana-1059	113	24	,	,	PUNCT
cana-1059	113	25	designed	design	VERB
cana-1059	113	26	to	to	PART
cana-1059	113	27	improve	improve	VERB
cana-1059	113	28	recommendation	recommendation	NOUN
cana-1059	113	29	accuracy	accuracy	NOUN
cana-1059	113	30	.	.	PUNCT
cana-1059	114	1	arnn	arnn	VERB
cana-1059	114	2	leverages	leverage	NOUN
cana-1059	114	3	user	user	NOUN
cana-1059	114	4	sentiment	sentiment	NOUN
cana-1059	114	5	/	/	SYM
cana-1059	114	6	content	content	NOUN
cana-1059	114	7	information	information	NOUN
cana-1059	114	8	and	and	CCONJ
cana-1059	114	9	review	review	VERB
cana-1059	114	10	sequences	sequence	NOUN
cana-1059	114	11	to	to	PART
cana-1059	114	12	refine	refine	VERB
cana-1059	114	13	user	user	NOUN
cana-1059	114	14	and	and	CCONJ
cana-1059	114	15	item	item	NOUN
cana-1059	114	16	representations	representation	NOUN
cana-1059	114	17	,	,	PUNCT
cana-1059	114	18	leading	lead	VERB
cana-1059	114	19	to	to	ADP
cana-1059	114	20	more	more	ADV
cana-1059	114	21	personalized	personalized	ADJ
cana-1059	114	22	product	product	NOUN
cana-1059	114	23	suggestions	suggestion	NOUN
cana-1059	114	24	.	.	PUNCT
cana-1059	115	1	the	the	DET
cana-1059	115	2	system	system	NOUN
cana-1059	115	3	is	be	AUX
cana-1059	115	4	divided	divide	VERB
cana-1059	115	5	into	into	ADP
cana-1059	115	6	three	three	NUM
cana-1059	115	7	core	core	NOUN
cana-1059	115	8	modules	module	NOUN
cana-1059	115	9	:	:	PUNCT
cana-1059	115	10	1	1	X
cana-1059	115	11	.	.	PUNCT
cana-1059	115	12	input	input	NOUN
cana-1059	115	13	module	module	NOUN
cana-1059	115	14	:	:	PUNCT
cana-1059	115	15	prepares	prepare	VERB
cana-1059	115	16	user	user	NOUN
cana-1059	115	17	reviews	review	NOUN
cana-1059	115	18	and	and	CCONJ
cana-1059	115	19	product	product	NOUN
cana-1059	115	20	data	datum	NOUN
cana-1059	115	21	for	for	ADP
cana-1059	115	22	model	model	NOUN
cana-1059	115	23	consumption	consumption	NOUN
cana-1059	115	24	.	.	PUNCT
cana-1059	116	1	this	this	PRON
cana-1059	116	2	includes	include	VERB
cana-1059	116	3	data	datum	NOUN
cana-1059	116	4	cleaning	cleaning	NOUN
cana-1059	116	5	,	,	PUNCT
cana-1059	116	6	feature	feature	NOUN
cana-1059	116	7	engineering	engineering	NOUN
cana-1059	116	8	,	,	PUNCT
cana-1059	116	9	and	and	CCONJ
cana-1059	116	10	constructing	construct	VERB
cana-1059	116	11	user	user	NOUN
cana-1059	116	12	-	-	PUNCT
cana-1059	116	13	item	item	NOUN
cana-1059	116	14	interactions	interaction	NOUN
cana-1059	116	15	and	and	CCONJ
cana-1059	116	16	feature	feature	NOUN
cana-1059	116	17	representations	representation	NOUN
cana-1059	116	18	.	.	PUNCT
cana-1059	117	1	2	2	X
cana-1059	117	2	.	.	X
cana-1059	117	3	arnn	arnn	VERB
cana-1059	117	4	model	model	NOUN
cana-1059	117	5	:	:	PUNCT
cana-1059	117	6	refines	refine	VERB
cana-1059	117	7	user	user	NOUN
cana-1059	117	8	and	and	CCONJ
cana-1059	117	9	item	item	NOUN
cana-1059	117	10	latent	latent	NOUN
cana-1059	117	11	representations	representation	NOUN
cana-1059	117	12	captured	capture	VERB
cana-1059	117	13	by	by	ADP
cana-1059	117	14	embedding	embed	VERB
cana-1059	117	15	layers	layer	NOUN
cana-1059	117	16	.	.	PUNCT
cana-1059	118	1	it	it	PRON
cana-1059	118	2	integrates	integrate	VERB
cana-1059	118	3	user	user	NOUN
cana-1059	118	4	sentiment	sentiment	NOUN
cana-1059	118	5	/	/	SYM
cana-1059	118	6	content	content	NOUN
cana-1059	118	7	information	information	NOUN
cana-1059	118	8	and	and	CCONJ
cana-1059	118	9	review	review	VERB
cana-1059	118	10	sequences	sequence	NOUN
cana-1059	118	11	through	through	ADP
cana-1059	118	12	attention	attention	NOUN
cana-1059	118	13	mechanisms	mechanism	NOUN
cana-1059	118	14	to	to	ADP
cana-1059	118	15	model	model	VERB
cana-1059	118	16	complex	complex	ADJ
cana-1059	118	17	user	user	NOUN
cana-1059	118	18	-	-	PUNCT
cana-1059	118	19	item	item	NOUN
cana-1059	118	20	interactions	interaction	NOUN
cana-1059	118	21	.	.	PUNCT
cana-1059	119	1	3	3	X
cana-1059	119	2	.	.	X
cana-1059	119	3	training	training	NOUN
cana-1059	119	4	module	module	NOUN
cana-1059	119	5	:	:	PUNCT
cana-1059	119	6	evaluates	evaluate	VERB
cana-1059	119	7	the	the	DET
cana-1059	119	8	arnn	arnn	NOUN
cana-1059	119	9	model	model	NOUN
cana-1059	119	10	using	use	VERB
cana-1059	119	11	a	a	DET
cana-1059	119	12	two	two	NUM
cana-1059	119	13	-	-	PUNCT
cana-1059	119	14	pronged	pronged	ADJ
cana-1059	119	15	approach	approach	NOUN
cana-1059	119	16	.	.	PUNCT
cana-1059	120	1	it	it	PRON
cana-1059	120	2	analyses	analyse	VERB
cana-1059	120	3	the	the	DET
cana-1059	120	4	impact	impact	NOUN
cana-1059	120	5	of	of	ADP
cana-1059	120	6	training	training	NOUN
cana-1059	120	7	data	datum	NOUN
cana-1059	120	8	size	size	NOUN
cana-1059	120	9	and	and	CCONJ
cana-1059	120	10	assesses	assesse	NOUN
cana-1059	120	11	model	model	NOUN
cana-1059	120	12	generalization	generalization	NOUN
cana-1059	120	13	capabilities	capabilitie	VERB
cana-1059	120	14	through	through	ADP
cana-1059	120	15	kfold	kfold	NOUN
cana-1059	120	16	cross	cross	NOUN
cana-1059	120	17	-	-	NOUN
cana-1059	120	18	validation	validation	NOUN
cana-1059	120	19	.	.	PUNCT
cana-1059	121	1	this	this	PRON
cana-1059	121	2	ensures	ensure	VERB
cana-1059	121	3	optimal	optimal	ADJ
cana-1059	121	4	model	model	NOUN
cana-1059	121	5	selection	selection	NOUN
cana-1059	121	6	and	and	CCONJ
cana-1059	121	7	fine	fine	ADV
cana-1059	121	8	-	-	PUNCT
cana-1059	121	9	tuning	tuning	NOUN
cana-1059	121	10	for	for	ADP
cana-1059	121	11	real	real	ADJ
cana-1059	121	12	world	world	NOUN
cana-1059	121	13	recommendation	recommendation	NOUN
cana-1059	121	14	scenarios	scenario	NOUN
cana-1059	121	15	.	.	PUNCT
cana-1059	122	1	3.1	3.1	NUM
cana-1059	122	2	.	.	PUNCT
cana-1059	122	3	input	input	NOUN
cana-1059	122	4	module	module	NOUN
cana-1059	122	5	input	input	NOUN
cana-1059	122	6	module	module	NOUN
cana-1059	122	7	:	:	PUNCT
cana-1059	122	8	the	the	DET
cana-1059	122	9	input	input	NOUN
cana-1059	122	10	module	module	NOUN
cana-1059	122	11	serves	serve	VERB
cana-1059	122	12	as	as	ADP
cana-1059	122	13	the	the	DET
cana-1059	122	14	foundation	foundation	NOUN
cana-1059	122	15	for	for	ADP
cana-1059	122	16	the	the	DET
cana-1059	122	17	arnn	arnn	NOUN
cana-1059	122	18	based	base	VERB
cana-1059	122	19	hybrid	hybrid	ADJ
cana-1059	122	20	recommender	recommender	NOUN
cana-1059	122	21	system	system	NOUN
cana-1059	122	22	,	,	PUNCT
cana-1059	122	23	preparing	prepare	VERB
cana-1059	122	24	user	user	NOUN
cana-1059	122	25	reviews	review	NOUN
cana-1059	122	26	and	and	CCONJ
cana-1059	122	27	product	product	NOUN
cana-1059	122	28	metadata	metadata	NOUN
cana-1059	122	29	for	for	ADP
cana-1059	122	30	model	model	NOUN
cana-1059	122	31	consumption	consumption	NOUN
cana-1059	122	32	.	.	PUNCT
cana-1059	123	1	this	this	DET
cana-1059	123	2	module	module	NOUN
cana-1059	123	3	performs	perform	VERB
cana-1059	123	4	essential	essential	ADJ
cana-1059	123	5	data	datum	NOUN
cana-1059	123	6	cleaning	clean	VERB
cana-1059	123	7	to	to	PART
cana-1059	123	8	address	address	VERB
cana-1059	123	9	missing	missing	ADJ
cana-1059	123	10	values	value	NOUN
cana-1059	123	11	,	,	PUNCT
cana-1059	123	12	outliers	outlier	NOUN
cana-1059	123	13	,	,	PUNCT
cana-1059	123	14	and	and	CCONJ
cana-1059	123	15	inconsistencies	inconsistency	NOUN
cana-1059	123	16	within	within	ADP
cana-1059	123	17	both	both	PRON
cana-1059	123	18	textual	textual	ADJ
cana-1059	123	19	reviews	review	NOUN
cana-1059	123	20	and	and	CCONJ
cana-1059	123	21	product	product	NOUN
cana-1059	123	22	information	information	NOUN
cana-1059	123	23	.	.	PUNCT
cana-1059	124	1	subsequently	subsequently	ADV
cana-1059	124	2	,	,	PUNCT
cana-1059	124	3	the	the	DET
cana-1059	124	4	data	data	NOUN
cana-1059	124	5	is	be	AUX
cana-1059	124	6	strategically	strategically	ADV
cana-1059	124	7	split	split	VERB
cana-1059	124	8	into	into	ADP
cana-1059	124	9	training	training	NOUN
cana-1059	124	10	,	,	PUNCT
cana-1059	124	11	validation	validation	NOUN
cana-1059	124	12	,	,	PUNCT
cana-1059	124	13	and	and	CCONJ
cana-1059	124	14	testing	testing	NOUN
cana-1059	124	15	sets	set	NOUN
cana-1059	124	16	,	,	PUNCT
cana-1059	124	17	ensuring	ensure	VERB
cana-1059	124	18	robust	robust	ADJ
cana-1059	124	19	model	model	NOUN
cana-1059	124	20	learning	learning	NOUN
cana-1059	124	21	and	and	CCONJ
cana-1059	124	22	generalizability	generalizability	NOUN
cana-1059	124	23	.	.	PUNCT
cana-1059	125	1	further	far	ADV
cana-1059	125	2	,	,	PUNCT
cana-1059	125	3	feature	feature	NOUN
cana-1059	125	4	engineering	engineering	NOUN
cana-1059	125	5	techniques	technique	NOUN
cana-1059	125	6	are	be	AUX
cana-1059	125	7	applied	apply	VERB
cana-1059	125	8	to	to	PART
cana-1059	125	9	enrich	enrich	VERB
cana-1059	125	10	the	the	DET
cana-1059	125	11	data	datum	NOUN
cana-1059	125	12	representation	representation	NOUN
cana-1059	125	13	.	.	PUNCT
cana-1059	126	1	text	text	NOUN
cana-1059	126	2	preprocessing	preprocessing	NOUN
cana-1059	126	3	methods	method	NOUN
cana-1059	126	4	like	like	ADP
cana-1059	126	5	stemming	stemming	NOUN
cana-1059	126	6	,	,	PUNCT
cana-1059	126	7	lemmatization	lemmatization	NOUN
cana-1059	126	8	,	,	PUNCT
cana-1059	126	9	and	and	CCONJ
cana-1059	126	10	stop	stop	VERB
cana-1059	126	11	-	-	PUNCT
cana-1059	126	12	word	word	NOUN
cana-1059	126	13	removal	removal	NOUN
cana-1059	126	14	are	be	AUX
cana-1059	126	15	employed	employ	VERB
cana-1059	126	16	to	to	PART
cana-1059	126	17	improve	improve	VERB
cana-1059	126	18	the	the	DET
cana-1059	126	19	quality	quality	NOUN
cana-1059	126	20	and	and	CCONJ
cana-1059	126	21	relevance	relevance	NOUN
cana-1059	126	22	of	of	ADP
cana-1059	126	23	textual	textual	ADJ
cana-1059	126	24	features	feature	NOUN
cana-1059	126	25	extracted	extract	VERB
cana-1059	126	26	from	from	ADP
cana-1059	126	27	reviews	review	NOUN
cana-1059	126	28	.	.	PUNCT
cana-1059	127	1	sentiment	sentiment	NOUN
cana-1059	127	2	analysis	analysis	NOUN
cana-1059	127	3	is	be	AUX
cana-1059	127	4	used	use	VERB
cana-1059	127	5	further	far	ADV
cana-1059	127	6	to	to	PART
cana-1059	127	7	extract	extract	VERB
cana-1059	127	8	sentiment	sentiment	NOUN
cana-1059	127	9	scores	score	NOUN
cana-1059	127	10	(	(	PUNCT
cana-1059	127	11	positive	positive	ADJ
cana-1059	127	12	,	,	PUNCT
cana-1059	127	13	negative	negative	ADJ
cana-1059	127	14	,	,	PUNCT
cana-1059	127	15	or	or	CCONJ
cana-1059	127	16	neutral	neutral	ADJ
cana-1059	127	17	)	)	PUNCT
cana-1059	127	18	from	from	ADP
cana-1059	127	19	review	review	NOUN
cana-1059	127	20	text	text	NOUN
cana-1059	127	21	,	,	PUNCT
cana-1059	127	22	capturing	capture	VERB
cana-1059	127	23	user	user	NOUN
cana-1059	127	24	attitudes	attitude	NOUN
cana-1059	127	25	toward	toward	ADP
cana-1059	127	26	products	product	NOUN
cana-1059	127	27	.	.	PUNCT
cana-1059	128	1	additionally	additionally	ADV
cana-1059	128	2	,	,	PUNCT
cana-1059	128	3	categorical	categorical	ADJ
cana-1059	128	4	features	feature	NOUN
cana-1059	128	5	present	present	ADJ
cana-1059	128	6	in	in	ADP
cana-1059	128	7	product	product	NOUN
cana-1059	128	8	data	datum	NOUN
cana-1059	128	9	(	(	PUNCT
cana-1059	128	10	e.g.	e.g.	ADV
cana-1059	128	11	,	,	PUNCT
cana-1059	128	12	product	product	NOUN
cana-1059	128	13	categories	category	NOUN
cana-1059	128	14	)	)	PUNCT
cana-1059	128	15	are	be	AUX
cana-1059	128	16	encoded	encode	VERB
cana-1059	128	17	into	into	ADP
cana-1059	128	18	numerical	numerical	ADJ
cana-1059	128	19	representations	representation	NOUN
cana-1059	128	20	suitable	suitable	ADJ
cana-1059	128	21	for	for	ADP
cana-1059	128	22	the	the	DET
cana-1059	128	23	proposed	propose	VERB
cana-1059	128	24	model	model	NOUN
cana-1059	128	25	.	.	PUNCT
cana-1059	129	1	following	follow	VERB
cana-1059	129	2	data	datum	NOUN
cana-1059	129	3	preprocessing	preprocessing	NOUN
cana-1059	129	4	and	and	CCONJ
cana-1059	129	5	potential	potential	ADJ
cana-1059	129	6	feature	feature	NOUN
cana-1059	129	7	engineering	engineering	NOUN
cana-1059	129	8	,	,	PUNCT
cana-1059	129	9	the	the	DET
cana-1059	129	10	input	input	NOUN
cana-1059	129	11	module	module	NOUN
cana-1059	129	12	constructs	construct	VERB
cana-1059	129	13	the	the	DET
cana-1059	129	14	data	data	NOUN
cana-1059	129	15	representation	representation	NOUN
cana-1059	129	16	.	.	PUNCT
cana-1059	130	1	user	user	NOUN
cana-1059	130	2	-	-	PUNCT
cana-1059	130	3	item	item	NOUN
cana-1059	130	4	interactions	interaction	NOUN
cana-1059	130	5	are	be	AUX
cana-1059	130	6	represented	represent	VERB
cana-1059	130	7	using	use	VERB
cana-1059	130	8	sparse	sparse	ADJ
cana-1059	130	9	matrices	matrix	NOUN
cana-1059	130	10	,	,	PUNCT
cana-1059	130	11	leveraging	leverage	VERB
cana-1059	130	12	review	review	NOUN
cana-1059	130	13	and	and	CCONJ
cana-1059	130	14	rating	rating	NOUN
cana-1059	130	15	data	datum	NOUN
cana-1059	130	16	to	to	PART
cana-1059	130	17	capture	capture	VERB
cana-1059	130	18	user	user	NOUN
cana-1059	130	19	engagement	engagement	NOUN
cana-1059	130	20	with	with	ADP
cana-1059	130	21	products	product	NOUN
cana-1059	130	22	.	.	PUNCT
cana-1059	131	1	additionally	additionally	ADV
cana-1059	131	2	,	,	PUNCT
cana-1059	131	3	user	user	NOUN
cana-1059	131	4	and	and	CCONJ
cana-1059	131	5	item	item	NOUN
cana-1059	131	6	features	feature	NOUN
cana-1059	131	7	are	be	AUX
cana-1059	131	8	encoded	encode	VERB
cana-1059	131	9	as	as	ADP
cana-1059	131	10	dense	dense	ADJ
cana-1059	131	11	feature	feature	NOUN
cana-1059	131	12	vectors	vector	NOUN
cana-1059	131	13	,	,	PUNCT
cana-1059	131	14	encapsulating	encapsulate	VERB
cana-1059	131	15	relevant	relevant	ADJ
cana-1059	131	16	user	user	NOUN
cana-1059	131	17	and	and	CCONJ
cana-1059	131	18	product	product	NOUN
cana-1059	131	19	characteristics	characteristic	NOUN
cana-1059	131	20	.	.	PUNCT
cana-1059	132	1	the	the	DET
cana-1059	132	2	input	input	NOUN
cana-1059	132	3	module	module	NOUN
cana-1059	132	4	allows	allow	VERB
cana-1059	132	5	for	for	ADP
cana-1059	132	6	customization	customization	NOUN
cana-1059	132	7	through	through	ADP
cana-1059	132	8	configuration	configuration	NOUN
cana-1059	132	9	parameters	parameter	NOUN
cana-1059	132	10	,	,	PUNCT
cana-1059	132	11	including	include	VERB
cana-1059	132	12	training	training	NOUN
cana-1059	132	13	-	-	PUNCT
cana-1059	132	14	validation	validation	NOUN
cana-1059	132	15	-	-	PUNCT
cana-1059	132	16	testing	testing	NOUN
cana-1059	132	17	split	split	ADJ
cana-1059	132	18	ratios	ratio	NOUN
cana-1059	132	19	,	,	PUNCT
cana-1059	132	20	text	text	NOUN
cana-1059	132	21	communications	communication	NOUN
cana-1059	132	22	on	on	ADP
cana-1059	132	23	applied	apply	VERB
cana-1059	132	24	nonlinear	nonlinear	ADJ
cana-1059	132	25	analysis	analysis	NOUN
cana-1059	132	26	issn	issn	NOUN
cana-1059	132	27	:	:	PUNCT
cana-1059	132	28	1074	1074	NUM
cana-1059	132	29	-	-	PUNCT
cana-1059	132	30	133x	133x	NUM
cana-1059	132	31	vol	vol	NOUN
cana-1059	132	32	31	31	NUM
cana-1059	132	33	no	no	NOUN
cana-1059	132	34	.	.	PUNCT
cana-1059	133	1	5s	5s	NUM
cana-1059	133	2	(	(	PUNCT
cana-1059	133	3	2024	2024	NUM
cana-1059	133	4	)	)	PUNCT
cana-1059	133	5	402	402	NUM
cana-1059	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	133	7	processing	processing	NOUN
cana-1059	133	8	parameters	parameter	NOUN
cana-1059	133	9	,	,	PUNCT
cana-1059	133	10	and	and	CCONJ
cana-1059	133	11	feature	feature	NOUN
cana-1059	133	12	selection	selection	NOUN
cana-1059	133	13	criteria	criterion	NOUN
cana-1059	133	14	which	which	PRON
cana-1059	133	15	define	define	VERB
cana-1059	133	16	the	the	DET
cana-1059	133	17	method	method	NOUN
cana-1059	133	18	used	use	VERB
cana-1059	133	19	to	to	PART
cana-1059	133	20	select	select	VERB
cana-1059	133	21	relevant	relevant	ADJ
cana-1059	133	22	user	user	NOUN
cana-1059	133	23	and	and	CCONJ
cana-1059	133	24	item	item	NOUN
cana-1059	133	25	features	feature	NOUN
cana-1059	133	26	for	for	ADP
cana-1059	133	27	the	the	DET
cana-1059	133	28	model	model	NOUN
cana-1059	133	29	.	.	PUNCT
cana-1059	134	1	the	the	DET
cana-1059	134	2	proposed	propose	VERB
cana-1059	134	3	arnn	arnn	VERB
cana-1059	134	4	hybrid	hybrid	ADJ
cana-1059	134	5	recommendation	recommendation	NOUN
cana-1059	134	6	model	model	NOUN
cana-1059	134	7	further	far	ADV
cana-1059	134	8	refines	refine	VERB
cana-1059	134	9	the	the	DET
cana-1059	134	10	input	input	NOUN
cana-1059	134	11	data	datum	NOUN
cana-1059	134	12	by	by	ADP
cana-1059	134	13	employing	employ	VERB
cana-1059	134	14	separate	separate	ADJ
cana-1059	134	15	embedding	embed	VERB
cana-1059	134	16	layers	layer	NOUN
cana-1059	134	17	to	to	PART
cana-1059	134	18	represent	represent	VERB
cana-1059	134	19	users	user	NOUN
cana-1059	134	20	and	and	CCONJ
cana-1059	134	21	items	item	NOUN
cana-1059	134	22	in	in	ADP
cana-1059	134	23	a	a	DET
cana-1059	134	24	lower	lower	ADV
cana-1059	134	25	-	-	PUNCT
cana-1059	134	26	dimensional	dimensional	ADJ
cana-1059	134	27	latent	latent	NOUN
cana-1059	134	28	space	space	NOUN
cana-1059	134	29	.	.	PUNCT
cana-1059	135	1	these	these	PRON
cana-1059	135	2	embedding	embed	VERB
cana-1059	135	3	layers	layer	NOUN
cana-1059	135	4	,	,	PUNCT
cana-1059	135	5	map	map	VERB
cana-1059	135	6	user	user	NOUN
cana-1059	135	7	and	and	CCONJ
cana-1059	135	8	item	item	NOUN
cana-1059	135	9	ids	id	NOUN
cana-1059	135	10	,	,	PUNCT
cana-1059	135	11	respectively	respectively	ADV
cana-1059	135	12	,	,	PUNCT
cana-1059	135	13	to	to	ADP
cana-1059	135	14	dense	dense	ADJ
cana-1059	135	15	vectors	vector	NOUN
cana-1059	135	16	of	of	ADP
cana-1059	135	17	size	size	NOUN
cana-1059	135	18	typically	typically	ADV
cana-1059	135	19	set	set	VERB
cana-1059	135	20	to	to	ADP
cana-1059	135	21	100	100	NUM
cana-1059	135	22	.	.	PUNCT
cana-1059	136	1	these	these	DET
cana-1059	136	2	latent	latent	NOUN
cana-1059	136	3	vectors	vector	NOUN
cana-1059	136	4	capture	capture	VERB
cana-1059	136	5	the	the	DET
cana-1059	136	6	underlying	underlie	VERB
cana-1059	136	7	factors	factor	NOUN
cana-1059	136	8	or	or	CCONJ
cana-1059	136	9	hidden	hidden	ADJ
cana-1059	136	10	characteristics	characteristic	NOUN
cana-1059	136	11	associated	associate	VERB
cana-1059	136	12	with	with	ADP
cana-1059	136	13	each	each	DET
cana-1059	136	14	user	user	NOUN
cana-1059	136	15	and	and	CCONJ
cana-1059	136	16	item	item	NOUN
cana-1059	136	17	.	.	PUNCT
cana-1059	137	1	the	the	DET
cana-1059	137	2	weight	weight	NOUN
cana-1059	137	3	matrices	matrix	NOUN
cana-1059	137	4	of	of	ADP
cana-1059	137	5	both	both	PRON
cana-1059	137	6	embedding	embed	VERB
cana-1059	137	7	layers	layer	NOUN
cana-1059	137	8	are	be	AUX
cana-1059	137	9	initialized	initialize	VERB
cana-1059	137	10	using	use	VERB
cana-1059	137	11	a	a	DET
cana-1059	137	12	normal	normal	ADJ
cana-1059	137	13	distribution	distribution	NOUN
cana-1059	137	14	with	with	ADP
cana-1059	137	15	a	a	DET
cana-1059	137	16	mean	mean	NOUN
cana-1059	137	17	of	of	ADP
cana-1059	137	18	0	0	NUM
cana-1059	137	19	and	and	CCONJ
cana-1059	137	20	a	a	DET
cana-1059	137	21	standard	standard	ADJ
cana-1059	137	22	deviation	deviation	NOUN
cana-1059	137	23	of	of	ADP
cana-1059	137	24	0.01	0.01	NUM
cana-1059	137	25	.	.	PUNCT
cana-1059	138	1	to	to	PART
cana-1059	138	2	prevent	prevent	VERB
cana-1059	138	3	overfitting	overfitting	NOUN
cana-1059	138	4	during	during	ADP
cana-1059	138	5	model	model	NOUN
cana-1059	138	6	training	training	NOUN
cana-1059	138	7	,	,	PUNCT
cana-1059	138	8	l2	l2	NOUN
cana-1059	138	9	regularization	regularization	NOUN
cana-1059	138	10	is	be	AUX
cana-1059	138	11	applied	apply	VERB
cana-1059	138	12	to	to	ADP
cana-1059	138	13	both	both	PRON
cana-1059	138	14	embedding	embed	VERB
cana-1059	138	15	layers	layer	NOUN
cana-1059	138	16	,	,	PUNCT
cana-1059	138	17	penalizing	penalize	VERB
cana-1059	138	18	large	large	ADJ
cana-1059	138	19	weight	weight	NOUN
cana-1059	138	20	values	value	NOUN
cana-1059	138	21	,	,	PUNCT
cana-1059	138	22	and	and	CCONJ
cana-1059	138	23	encouraging	encourage	VERB
cana-1059	138	24	the	the	DET
cana-1059	138	25	model	model	NOUN
cana-1059	138	26	to	to	PART
cana-1059	138	27	learn	learn	VERB
cana-1059	138	28	more	more	ADV
cana-1059	138	29	compact	compact	ADJ
cana-1059	138	30	and	and	CCONJ
cana-1059	138	31	generalizable	generalizable	ADJ
cana-1059	138	32	representations	representation	NOUN
cana-1059	138	33	.	.	PUNCT
cana-1059	139	1	finally	finally	ADV
cana-1059	139	2	,	,	PUNCT
cana-1059	139	3	the	the	DET
cana-1059	139	4	two	two	NUM
cana-1059	139	5	-	-	PUNCT
cana-1059	139	6	dimensional	dimensional	ADJ
cana-1059	139	7	outputs	output	NOUN
cana-1059	139	8	of	of	ADP
cana-1059	139	9	the	the	DET
cana-1059	139	10	embedding	embed	VERB
cana-1059	139	11	layers	layer	NOUN
cana-1059	139	12	are	be	AUX
cana-1059	139	13	reshaped	reshape	VERB
cana-1059	139	14	into	into	ADP
cana-1059	139	15	one	one	NUM
cana-1059	139	16	-	-	PUNCT
cana-1059	139	17	dimensional	dimensional	ADJ
cana-1059	139	18	vectors	vector	NOUN
cana-1059	139	19	,	,	PUNCT
cana-1059	139	20	representing	represent	VERB
cana-1059	139	21	the	the	DET
cana-1059	139	22	latent	latent	NOUN
cana-1059	139	23	user	user	NOUN
cana-1059	139	24	and	and	CCONJ
cana-1059	139	25	item	item	NOUN
cana-1059	139	26	embeddings	embedding	NOUN
cana-1059	139	27	that	that	PRON
cana-1059	139	28	will	will	AUX
cana-1059	139	29	be	be	AUX
cana-1059	139	30	subsequently	subsequently	ADV
cana-1059	139	31	utilized	utilize	VERB
cana-1059	139	32	by	by	ADP
cana-1059	139	33	the	the	DET
cana-1059	139	34	proposed	propose	VERB
cana-1059	139	35	model	model	NOUN
cana-1059	139	36	for	for	ADP
cana-1059	139	37	learning	learn	VERB
cana-1059	139	38	user	user	NOUN
cana-1059	139	39	preferences	preference	NOUN
cana-1059	139	40	and	and	CCONJ
cana-1059	139	41	item	item	NOUN
cana-1059	139	42	characteristics	characteristic	NOUN
cana-1059	139	43	to	to	PART
cana-1059	139	44	generate	generate	VERB
cana-1059	139	45	personalized	personalized	ADJ
cana-1059	139	46	product	product	NOUN
cana-1059	139	47	recommendations	recommendation	NOUN
cana-1059	139	48	.	.	PUNCT
cana-1059	140	1	3.2	3.2	NUM
cana-1059	140	2	.	.	PUNCT
cana-1059	140	3	arnn	arnn	VERB
cana-1059	140	4	:	:	PUNCT
cana-1059	140	5	a	a	DET
cana-1059	140	6	hybrid	hybrid	ADJ
cana-1059	140	7	recommendation	recommendation	NOUN
cana-1059	140	8	model	model	NOUN
cana-1059	140	9	with	with	ADP
cana-1059	140	10	enhanced	enhanced	ADJ
cana-1059	140	11	user	user	NOUN
cana-1059	140	12	and	and	CCONJ
cana-1059	140	13	item	item	NOUN
cana-1059	140	14	representation	representation	NOUN
cana-1059	140	15	learning	learn	VERB
cana-1059	140	16	this	this	DET
cana-1059	140	17	section	section	NOUN
cana-1059	140	18	details	detail	VERB
cana-1059	140	19	the	the	DET
cana-1059	140	20	architecture	architecture	NOUN
cana-1059	140	21	of	of	ADP
cana-1059	140	22	the	the	DET
cana-1059	140	23	arnn	arnn	NOUN
cana-1059	140	24	model	model	NOUN
cana-1059	140	25	as	as	SCONJ
cana-1059	140	26	depicted	depict	VERB
cana-1059	140	27	in	in	ADP
cana-1059	140	28	figure	figure	NOUN
cana-1059	140	29	1	1	NUM
cana-1059	140	30	,	,	PUNCT
cana-1059	140	31	a	a	DET
cana-1059	140	32	hybrid	hybrid	ADJ
cana-1059	140	33	recommendation	recommendation	NOUN
cana-1059	140	34	system	system	NOUN
cana-1059	140	35	that	that	PRON
cana-1059	140	36	leverages	leverage	VERB
cana-1059	140	37	user	user	NOUN
cana-1059	140	38	sentiment	sentiment	NOUN
cana-1059	140	39	/	/	SYM
cana-1059	140	40	content	content	NOUN
cana-1059	140	41	information	information	NOUN
cana-1059	140	42	and	and	CCONJ
cana-1059	140	43	review	review	VERB
cana-1059	140	44	sequences	sequence	NOUN
cana-1059	140	45	to	to	PART
cana-1059	140	46	improve	improve	VERB
cana-1059	140	47	recommendation	recommendation	NOUN
cana-1059	140	48	accuracy	accuracy	NOUN
cana-1059	140	49	.	.	PUNCT
cana-1059	141	1	following	follow	VERB
cana-1059	141	2	the	the	DET
cana-1059	141	3	embedding	embed	VERB
cana-1059	141	4	layer	layer	NOUN
cana-1059	141	5	,	,	PUNCT
cana-1059	141	6	arnn	arnn	VERB
cana-1059	141	7	employs	employ	VERB
cana-1059	141	8	several	several	ADJ
cana-1059	141	9	techniques	technique	NOUN
cana-1059	141	10	to	to	PART
cana-1059	141	11	refine	refine	VERB
cana-1059	141	12	user	user	NOUN
cana-1059	141	13	and	and	CCONJ
cana-1059	141	14	item	item	NOUN
cana-1059	141	15	latent	latent	NOUN
cana-1059	141	16	representations	representation	NOUN
cana-1059	141	17	and	and	CCONJ
cana-1059	141	18	capture	capture	VERB
cana-1059	141	19	the	the	DET
cana-1059	141	20	dynamics	dynamic	NOUN
cana-1059	141	21	of	of	ADP
cana-1059	141	22	user	user	NOUN
cana-1059	141	23	-	-	PUNCT
cana-1059	141	24	item	item	NOUN
cana-1059	141	25	interactions	interaction	NOUN
cana-1059	141	26	.	.	PUNCT
cana-1059	142	1	1	1	X
cana-1059	142	2	.	.	X
cana-1059	142	3	user	user	NOUN
cana-1059	142	4	and	and	CCONJ
cana-1059	142	5	item	item	NOUN
cana-1059	142	6	sentiment	sentiment	NOUN
cana-1059	142	7	/	/	SYM
cana-1059	142	8	content	content	NOUN
cana-1059	142	9	integration	integration	NOUN
cana-1059	142	10	:	:	PUNCT
cana-1059	142	11	the	the	DET
cana-1059	142	12	arnn	arnn	NOUN
cana-1059	142	13	model	model	NOUN
cana-1059	142	14	goes	go	VERB
cana-1059	142	15	beyond	beyond	ADP
cana-1059	142	16	user	user	NOUN
cana-1059	142	17	and	and	CCONJ
cana-1059	142	18	item	item	NOUN
cana-1059	142	19	ids	id	NOUN
cana-1059	142	20	by	by	ADP
cana-1059	142	21	incorporating	incorporate	VERB
cana-1059	142	22	user	user	NOUN
cana-1059	142	23	sentiment	sentiment	NOUN
cana-1059	142	24	information	information	NOUN
cana-1059	142	25	(	(	PUNCT
cana-1059	142	26	e.g.	e.g.	ADV
cana-1059	142	27	,	,	PUNCT
cana-1059	142	28	positive	positive	ADJ
cana-1059	142	29	,	,	PUNCT
cana-1059	142	30	negative	negative	ADJ
cana-1059	142	31	,	,	PUNCT
cana-1059	142	32	or	or	CCONJ
cana-1059	142	33	neutral	neutral	ADJ
cana-1059	142	34	sentiment	sentiment	NOUN
cana-1059	142	35	scores	score	NOUN
cana-1059	142	36	extracted	extract	VERB
cana-1059	142	37	from	from	ADP
cana-1059	142	38	reviews	review	NOUN
cana-1059	142	39	)	)	PUNCT
cana-1059	142	40	and	and	CCONJ
cana-1059	142	41	item	item	NOUN
cana-1059	142	42	content	content	NOUN
cana-1059	142	43	information	information	NOUN
cana-1059	142	44	(	(	PUNCT
cana-1059	142	45	e.g.	e.g.	ADV
cana-1059	142	46	,	,	PUNCT
cana-1059	142	47	numerical	numerical	ADJ
cana-1059	142	48	representations	representation	NOUN
cana-1059	142	49	of	of	ADP
cana-1059	142	50	product	product	NOUN
cana-1059	142	51	attributes	attribute	VERB
cana-1059	142	52	)	)	PUNCT
cana-1059	142	53	.	.	PUNCT
cana-1059	143	1	these	these	DET
cana-1059	143	2	features	feature	NOUN
cana-1059	143	3	are	be	AUX
cana-1059	143	4	processed	process	VERB
cana-1059	143	5	through	through	ADP
cana-1059	143	6	separate	separate	ADJ
cana-1059	143	7	dense	dense	ADJ
cana-1059	143	8	layers	layer	NOUN
cana-1059	143	9	with	with	ADP
cana-1059	143	10	relu	relu	NOUN
cana-1059	143	11	(	(	PUNCT
cana-1059	143	12	rectified	rectified	ADJ
cana-1059	143	13	linear	linear	NOUN
cana-1059	143	14	unit	unit	NOUN
cana-1059	143	15	)	)	PUNCT
cana-1059	143	16	activation	activation	NOUN
cana-1059	143	17	functions	function	NOUN
cana-1059	143	18	for	for	ADP
cana-1059	143	19	non	non	ADJ
cana-1059	143	20	-	-	ADJ
cana-1059	143	21	linear	linear	ADJ
cana-1059	143	22	transformation	transformation	NOUN
cana-1059	143	23	(	(	PUNCT
cana-1059	143	24	eq	eq	NOUN
cana-1059	143	25	.	.	PROPN
cana-1059	143	26	1	1	NUM
cana-1059	143	27	)	)	PUNCT
cana-1059	143	28	.	.	PUNCT
cana-1059	144	1	this	this	PRON
cana-1059	144	2	helps	help	VERB
cana-1059	144	3	the	the	DET
cana-1059	144	4	model	model	NOUN
cana-1059	144	5	learn	learn	VERB
cana-1059	144	6	complex	complex	ADJ
cana-1059	144	7	relationships	relationship	NOUN
cana-1059	144	8	within	within	ADP
cana-1059	144	9	the	the	DET
cana-1059	144	10	sentiment	sentiment	NOUN
cana-1059	144	11	/	/	SYM
cana-1059	144	12	content	content	NOUN
cana-1059	144	13	data	datum	NOUN
cana-1059	144	14	.	.	PUNCT
cana-1059	145	1	l2	l2	NOUN
cana-1059	145	2	regularization	regularization	NOUN
cana-1059	145	3	is	be	AUX
cana-1059	145	4	applied	apply	VERB
cana-1059	145	5	to	to	PART
cana-1059	145	6	prevent	prevent	VERB
cana-1059	145	7	overfitting	overfitting	NOUN
cana-1059	145	8	.	.	PUNCT
cana-1059	146	1	h(x	h(x	PROPN
cana-1059	146	2	)	)	PUNCT
cana-1059	147	1	=	=	PUNCT
cana-1059	147	2	max(0	max(0	NOUN
cana-1059	147	3	,	,	PUNCT
cana-1059	147	4	w	w	NOUN
cana-1059	147	5	∗	∗	NOUN
cana-1059	147	6	x	x	PUNCT
cana-1059	148	1	+	+	NUM
cana-1059	148	2	b	b	X
cana-1059	148	3	)	)	PUNCT
cana-1059	148	4	(	(	PUNCT
cana-1059	148	5	1	1	X
cana-1059	148	6	)	)	PUNCT
cana-1059	148	7	where	where	SCONJ
cana-1059	148	8	,	,	PUNCT
cana-1059	148	9	h(x	h(x	PROPN
cana-1059	148	10	):	):	PUNCT
cana-1059	148	11	output	output	NOUN
cana-1059	148	12	vector	vector	NOUN
cana-1059	148	13	after	after	ADP
cana-1059	148	14	the	the	DET
cana-1059	148	15	dense	dense	ADJ
cana-1059	148	16	layer	layer	NOUN
cana-1059	148	17	.	.	PUNCT
cana-1059	149	1	w	w	X
cana-1059	149	2	:	:	PUNCT
cana-1059	149	3	weight	weight	NOUN
cana-1059	149	4	matrix	matrix	NOUN
cana-1059	149	5	of	of	ADP
cana-1059	149	6	the	the	DET
cana-1059	149	7	dense	dense	ADJ
cana-1059	149	8	layer	layer	NOUN
cana-1059	149	9	.	.	PUNCT
cana-1059	150	1	x	x	X
cana-1059	150	2	:	:	PUNCT
cana-1059	150	3	input	input	NOUN
cana-1059	150	4	sentiment	sentiment	NOUN
cana-1059	150	5	/	/	SYM
cana-1059	150	6	content	content	NOUN
cana-1059	150	7	vector	vector	NOUN
cana-1059	150	8	.	.	PUNCT
cana-1059	151	1	b	b	X
cana-1059	151	2	:	:	PUNCT
cana-1059	151	3	bias	bias	NOUN
cana-1059	151	4	vector	vector	NOUN
cana-1059	151	5	of	of	ADP
cana-1059	151	6	the	the	DET
cana-1059	151	7	dense	dense	ADJ
cana-1059	151	8	layer	layer	NOUN
cana-1059	151	9	.	.	PUNCT
cana-1059	152	1	the	the	DET
cana-1059	152	2	output	output	NOUN
cana-1059	152	3	from	from	ADP
cana-1059	152	4	these	these	DET
cana-1059	152	5	dense	dense	ADJ
cana-1059	152	6	layers	layer	NOUN
cana-1059	152	7	is	be	AUX
cana-1059	152	8	then	then	ADV
cana-1059	152	9	fed	feed	VERB
cana-1059	152	10	into	into	ADP
cana-1059	152	11	a	a	DET
cana-1059	152	12	softmax	softmax	NOUN
cana-1059	152	13	layer	layer	NOUN
cana-1059	152	14	(	(	PUNCT
cana-1059	152	15	eq	eq	NOUN
cana-1059	152	16	.	.	PROPN
cana-1059	152	17	2	2	NUM
cana-1059	152	18	)	)	PUNCT
cana-1059	152	19	.	.	PUNCT
cana-1059	153	1	this	this	PRON
cana-1059	153	2	generates	generate	VERB
cana-1059	153	3	attention	attention	NOUN
cana-1059	153	4	weights	weight	NOUN
cana-1059	153	5	for	for	ADP
cana-1059	153	6	each	each	DET
cana-1059	153	7	element	element	NOUN
cana-1059	153	8	in	in	ADP
cana-1059	153	9	the	the	DET
cana-1059	153	10	sentiment	sentiment	NOUN
cana-1059	153	11	/	/	SYM
cana-1059	153	12	content	content	NOUN
cana-1059	153	13	vector	vector	NOUN
cana-1059	153	14	,	,	PUNCT
cana-1059	153	15	highlighting	highlight	VERB
cana-1059	153	16	the	the	DET
cana-1059	153	17	most	most	ADV
cana-1059	153	18	relevant	relevant	ADJ
cana-1059	153	19	aspects	aspect	NOUN
cana-1059	153	20	for	for	ADP
cana-1059	153	21	user	user	NOUN
cana-1059	153	22	preferences	preference	NOUN
cana-1059	153	23	or	or	CCONJ
cana-1059	153	24	item	item	NOUN
cana-1059	153	25	characteristics	characteristic	NOUN
cana-1059	153	26	.	.	PUNCT
cana-1059	154	1	these	these	DET
cana-1059	154	2	attention	attention	NOUN
cana-1059	154	3	weights	weight	NOUN
cana-1059	154	4	play	play	VERB
cana-1059	154	5	a	a	DET
cana-1059	154	6	crucial	crucial	ADJ
cana-1059	154	7	role	role	NOUN
cana-1059	154	8	in	in	ADP
cana-1059	154	9	emphasizing	emphasize	VERB
cana-1059	154	10	the	the	DET
cana-1059	154	11	most	most	ADV
cana-1059	154	12	informative	informative	ADJ
cana-1059	154	13	parts	part	NOUN
cana-1059	154	14	of	of	ADP
cana-1059	154	15	the	the	DET
cana-1059	154	16	user	user	NOUN
cana-1059	154	17	sentiment	sentiment	NOUN
cana-1059	154	18	and	and	CCONJ
cana-1059	154	19	item	item	NOUN
cana-1059	154	20	content	content	NOUN
cana-1059	154	21	for	for	ADP
cana-1059	154	22	improved	improved	ADJ
cana-1059	154	23	recommendation	recommendation	NOUN
cana-1059	154	24	accuracy	accuracy	NOUN
cana-1059	154	25	.	.	PUNCT
cana-1059	155	1	a_i	a_i	PUNCT
cana-1059	155	2	=	=	PUNCT
cana-1059	155	3	softmax(z_i	softmax(z_i	ADJ
cana-1059	155	4	)	)	PUNCT
cana-1059	155	5	=	=	SYM
cana-1059	155	6	exp(z_i)/(exp(z_j	exp(z_i)/(exp(z_j	PROPN
cana-1059	155	7	)	)	PUNCT
cana-1059	155	8	)	)	PUNCT
cana-1059	155	9	(	(	PUNCT
cana-1059	155	10	2	2	X
cana-1059	155	11	)	)	PUNCT
cana-1059	155	12	where	where	SCONJ
cana-1059	155	13	,	,	PUNCT
cana-1059	155	14	a_i	a_i	ADJ
cana-1059	155	15	:	:	PUNCT
cana-1059	155	16	attention	attention	NOUN
cana-1059	155	17	weight	weight	NOUN
cana-1059	155	18	for	for	ADP
cana-1059	155	19	element	element	NOUN
cana-1059	155	20	i.	i.	NOUN
cana-1059	155	21	z_i	z_i	PROPN
cana-1059	155	22	:	:	PUNCT
cana-1059	155	23	element	element	NOUN
cana-1059	155	24	at	at	ADP
cana-1059	155	25	index	index	NOUN
cana-1059	155	26	i	i	PRON
cana-1059	155	27	in	in	ADP
cana-1059	155	28	the	the	DET
cana-1059	155	29	output	output	NOUN
cana-1059	155	30	vector	vector	NOUN
cana-1059	155	31	h(x	h(x	PROPN
cana-1059	155	32	)	)	PUNCT
cana-1059	155	33	.	.	PUNCT
cana-1059	156	1	n	n	CCONJ
cana-1059	156	2	:	:	PUNCT
cana-1059	156	3	length	length	NOUN
cana-1059	156	4	of	of	ADP
cana-1059	156	5	the	the	DET
cana-1059	156	6	sentiment	sentiment	NOUN
cana-1059	156	7	/	/	SYM
cana-1059	156	8	content	content	NOUN
cana-1059	156	9	vector	vector	NOUN
cana-1059	156	10	.	.	PUNCT
cana-1059	157	1	communications	communication	NOUN
cana-1059	157	2	on	on	ADP
cana-1059	157	3	applied	apply	VERB
cana-1059	157	4	nonlinear	nonlinear	ADJ
cana-1059	157	5	analysis	analysis	NOUN
cana-1059	157	6	issn	issn	NOUN
cana-1059	157	7	:	:	PUNCT
cana-1059	157	8	1074	1074	NUM
cana-1059	157	9	-	-	PUNCT
cana-1059	157	10	133x	133x	NUM
cana-1059	157	11	vol	vol	NOUN
cana-1059	157	12	31	31	NUM
cana-1059	157	13	no	no	NOUN
cana-1059	157	14	.	.	PUNCT
cana-1059	158	1	5s	5s	NUM
cana-1059	158	2	(	(	PUNCT
cana-1059	158	3	2024	2024	NUM
cana-1059	158	4	)	)	PUNCT
cana-1059	158	5	403	403	NUM
cana-1059	159	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	159	2	2	2	X
cana-1059	159	3	.	.	X
cana-1059	159	4	generating	generate	VERB
cana-1059	159	5	refined	refined	ADJ
cana-1059	159	6	user	user	NOUN
cana-1059	159	7	and	and	CCONJ
cana-1059	159	8	item	item	NOUN
cana-1059	159	9	latent	latent	NOUN
cana-1059	159	10	representations	representation	NOUN
cana-1059	159	11	:	:	PUNCT
cana-1059	159	12	the	the	DET
cana-1059	159	13	original	original	ADJ
cana-1059	159	14	latent	latent	NOUN
cana-1059	159	15	vectors	vector	NOUN
cana-1059	159	16	obtained	obtain	VERB
cana-1059	159	17	from	from	ADP
cana-1059	159	18	the	the	DET
cana-1059	159	19	embedding	embed	VERB
cana-1059	159	20	layer	layer	NOUN
cana-1059	159	21	capture	capture	VERB
cana-1059	159	22	underlying	underlying	ADJ
cana-1059	159	23	user	user	NOUN
cana-1059	159	24	and	and	CCONJ
cana-1059	159	25	item	item	NOUN
cana-1059	159	26	factors	factor	NOUN
cana-1059	159	27	.	.	PUNCT
cana-1059	160	1	these	these	DET
cana-1059	160	2	latent	latent	NOUN
cana-1059	160	3	representations	representation	NOUN
cana-1059	160	4	are	be	AUX
cana-1059	160	5	element	element	ADJ
cana-1059	160	6	-	-	ADJ
cana-1059	160	7	wise	wise	ADJ
cana-1059	160	8	multiplied	multiply	VERB
cana-1059	160	9	with	with	ADP
cana-1059	160	10	the	the	DET
cana-1059	160	11	respective	respective	ADJ
cana-1059	160	12	attention	attention	NOUN
cana-1059	160	13	weights	weight	NOUN
cana-1059	160	14	from	from	ADP
cana-1059	160	15	step1.this	step1.this	PROPN
cana-1059	160	16	emphasizes	emphasize	VERB
cana-1059	160	17	the	the	DET
cana-1059	160	18	most	most	ADV
cana-1059	160	19	important	important	ADJ
cana-1059	160	20	features	feature	NOUN
cana-1059	160	21	based	base	VERB
cana-1059	160	22	on	on	ADP
cana-1059	160	23	sentiment	sentiment	NOUN
cana-1059	160	24	and	and	CCONJ
cana-1059	160	25	content	content	NOUN
cana-1059	160	26	information	information	NOUN
cana-1059	160	27	,	,	PUNCT
cana-1059	160	28	resulting	result	VERB
cana-1059	160	29	in	in	ADP
cana-1059	160	30	refined	refined	ADJ
cana-1059	160	31	user	user	NOUN
cana-1059	160	32	and	and	CCONJ
cana-1059	160	33	item	item	NOUN
cana-1059	160	34	latent	latent	NOUN
cana-1059	160	35	representations	representation	NOUN
cana-1059	160	36	that	that	PRON
cana-1059	160	37	better	well	ADJ
cana-1059	160	38	reflect	reflect	VERB
cana-1059	160	39	user	user	NOUN
cana-1059	160	40	preferences	preference	NOUN
cana-1059	160	41	and	and	CCONJ
cana-1059	160	42	item	item	NOUN
cana-1059	160	43	characteristics	characteristic	NOUN
cana-1059	160	44	.	.	PUNCT
cana-1059	161	1	3	3	X
cana-1059	161	2	.	.	X
cana-1059	161	3	user	user	NOUN
cana-1059	161	4	and	and	CCONJ
cana-1059	161	5	item	item	NOUN
cana-1059	161	6	latent	latent	NOUN
cana-1059	161	7	feature	feature	NOUN
cana-1059	161	8	processing	processing	NOUN
cana-1059	161	9	:	:	PUNCT
cana-1059	161	10	the	the	DET
cana-1059	161	11	refined	refined	ADJ
cana-1059	161	12	user	user	NOUN
cana-1059	161	13	and	and	CCONJ
cana-1059	161	14	item	item	NOUN
cana-1059	161	15	latent	latent	NOUN
cana-1059	161	16	representations	representation	NOUN
cana-1059	161	17	are	be	AUX
cana-1059	161	18	further	far	ADV
cana-1059	161	19	processed	process	VERB
cana-1059	161	20	through	through	ADP
cana-1059	161	21	separate	separate	ADJ
cana-1059	161	22	dense	dense	ADJ
cana-1059	161	23	layers	layer	NOUN
cana-1059	161	24	with	with	ADP
cana-1059	161	25	relu	relu	NOUN
cana-1059	161	26	activation	activation	NOUN
cana-1059	161	27	for	for	ADP
cana-1059	161	28	additional	additional	ADJ
cana-1059	161	29	non	non	ADJ
cana-1059	161	30	-	-	ADJ
cana-1059	161	31	linear	linear	ADJ
cana-1059	161	32	transformations	transformation	NOUN
cana-1059	161	33	.	.	PUNCT
cana-1059	162	1	this	this	PRON
cana-1059	162	2	allows	allow	VERB
cana-1059	162	3	the	the	DET
cana-1059	162	4	model	model	NOUN
cana-1059	162	5	to	to	PART
cana-1059	162	6	learn	learn	VERB
cana-1059	162	7	even	even	ADV
cana-1059	162	8	more	more	ADV
cana-1059	162	9	complex	complex	ADJ
cana-1059	162	10	relationships	relationship	NOUN
cana-1059	162	11	within	within	ADP
cana-1059	162	12	these	these	DET
cana-1059	162	13	representations	representation	NOUN
cana-1059	162	14	,	,	PUNCT
cana-1059	162	15	leading	lead	VERB
cana-1059	162	16	to	to	ADP
cana-1059	162	17	a	a	DET
cana-1059	162	18	deeper	deep	ADJ
cana-1059	162	19	understanding	understanding	NOUN
cana-1059	162	20	of	of	ADP
cana-1059	162	21	user	user	NOUN
cana-1059	162	22	preferences	preference	NOUN
cana-1059	162	23	and	and	CCONJ
cana-1059	162	24	item	item	NOUN
cana-1059	162	25	characteristics	characteristic	NOUN
cana-1059	162	26	.	.	PUNCT
cana-1059	163	1	4	4	X
cana-1059	163	2	.	.	X
cana-1059	163	3	review	review	NOUN
cana-1059	163	4	-	-	PUNCT
cana-1059	163	5	based	base	VERB
cana-1059	163	6	attention	attention	NOUN
cana-1059	163	7	for	for	ADP
cana-1059	163	8	capturing	capture	VERB
cana-1059	163	9	user	user	NOUN
cana-1059	163	10	-	-	PUNCT
cana-1059	163	11	item	item	NOUN
cana-1059	163	12	dynamics	dynamic	NOUN
cana-1059	163	13	:	:	PUNCT
cana-1059	163	14	to	to	PART
cana-1059	163	15	capture	capture	VERB
cana-1059	163	16	potential	potential	ADJ
cana-1059	163	17	sequential	sequential	ADJ
cana-1059	163	18	dependencies	dependency	NOUN
cana-1059	163	19	in	in	ADP
cana-1059	163	20	user	user	NOUN
cana-1059	163	21	-	-	PUNCT
cana-1059	163	22	item	item	NOUN
cana-1059	163	23	interactions	interaction	NOUN
cana-1059	163	24	based	base	VERB
cana-1059	163	25	on	on	ADP
cana-1059	163	26	review	review	NOUN
cana-1059	163	27	sequences	sequence	NOUN
cana-1059	163	28	,	,	PUNCT
cana-1059	163	29	the	the	DET
cana-1059	163	30	arnn	arnn	PROPN
cana-1059	163	31	model	model	NOUN
cana-1059	163	32	employs	employ	VERB
cana-1059	163	33	a	a	DET
cana-1059	163	34	mechanism	mechanism	NOUN
cana-1059	163	35	with	with	ADP
cana-1059	163	36	several	several	ADJ
cana-1059	163	37	steps	step	NOUN
cana-1059	163	38	:	:	PUNCT
cana-1059	163	39	•	•	ADP
cana-1059	163	40	an	an	DET
cana-1059	163	41	element	element	ADJ
cana-1059	163	42	-	-	PUNCT
cana-1059	163	43	wise	wise	ADJ
cana-1059	163	44	product	product	NOUN
cana-1059	163	45	of	of	ADP
cana-1059	163	46	the	the	DET
cana-1059	163	47	processed	process	VERB
cana-1059	163	48	user	user	NOUN
cana-1059	163	49	and	and	CCONJ
cana-1059	163	50	item	item	NOUN
cana-1059	163	51	latent	latent	NOUN
cana-1059	163	52	representations	representation	NOUN
cana-1059	163	53	captures	capture	VERB
cana-1059	163	54	their	their	PRON
cana-1059	163	55	interaction	interaction	NOUN
cana-1059	163	56	,	,	PUNCT
cana-1059	163	57	reflecting	reflect	VERB
cana-1059	163	58	how	how	SCONJ
cana-1059	163	59	the	the	DET
cana-1059	163	60	user	user	NOUN
cana-1059	163	61	’s	’s	PART
cana-1059	163	62	preferences	preference	NOUN
cana-1059	163	63	align	align	VERB
cana-1059	163	64	with	with	ADP
cana-1059	163	65	the	the	DET
cana-1059	163	66	item	item	NOUN
cana-1059	163	67	’s	’s	PART
cana-1059	163	68	attributes	attribute	NOUN
cana-1059	163	69	.	.	PUNCT
cana-1059	164	1	•	•	NOUN
cana-1059	164	2	this	this	DET
cana-1059	164	3	interaction	interaction	NOUN
cana-1059	164	4	vector	vector	NOUN
cana-1059	164	5	is	be	AUX
cana-1059	164	6	then	then	ADV
cana-1059	164	7	concatenated	concatenate	VERB
cana-1059	164	8	with	with	ADP
cana-1059	164	9	the	the	DET
cana-1059	164	10	original	original	ADJ
cana-1059	164	11	user	user	NOUN
cana-1059	164	12	sentiment	sentiment	NOUN
cana-1059	164	13	,	,	PUNCT
cana-1059	164	14	item	item	NOUN
cana-1059	164	15	content	content	NOUN
cana-1059	164	16	,	,	PUNCT
cana-1059	164	17	and	and	CCONJ
cana-1059	164	18	the	the	DET
cana-1059	164	19	processed	process	VERB
cana-1059	164	20	user	user	NOUN
cana-1059	164	21	and	and	CCONJ
cana-1059	164	22	item	item	NOUN
cana-1059	164	23	latent	latent	NOUN
cana-1059	164	24	features	feature	NOUN
cana-1059	164	25	.	.	PUNCT
cana-1059	165	1	this	this	PRON
cana-1059	165	2	creates	create	VERB
cana-1059	165	3	a	a	DET
cana-1059	165	4	comprehensive	comprehensive	ADJ
cana-1059	165	5	representation	representation	NOUN
cana-1059	165	6	that	that	PRON
cana-1059	165	7	incorporates	incorporate	VERB
cana-1059	165	8	various	various	ADJ
cana-1059	165	9	aspects	aspect	NOUN
cana-1059	165	10	of	of	ADP
cana-1059	165	11	the	the	DET
cana-1059	165	12	user	user	NOUN
cana-1059	165	13	,	,	PUNCT
cana-1059	165	14	item	item	NOUN
cana-1059	165	15	,	,	PUNCT
cana-1059	165	16	and	and	CCONJ
cana-1059	165	17	their	their	PRON
cana-1059	165	18	interaction	interaction	NOUN
cana-1059	165	19	based	base	VERB
cana-1059	165	20	on	on	ADP
cana-1059	165	21	review	review	NOUN
cana-1059	165	22	sequences	sequence	NOUN
cana-1059	165	23	.	.	PUNCT
cana-1059	166	1	•	•	NUM
cana-1059	166	2	a	a	DET
cana-1059	166	3	simple	simple	ADJ
cana-1059	166	4	rnn	rnn	NOUN
cana-1059	166	5	layer	layer	NOUN
cana-1059	166	6	is	be	AUX
cana-1059	166	7	applied	apply	VERB
cana-1059	166	8	to	to	ADP
cana-1059	166	9	the	the	DET
cana-1059	166	10	concatenated	concatenate	VERB
cana-1059	166	11	vector	vector	NOUN
cana-1059	166	12	.	.	PUNCT
cana-1059	167	1	this	this	PRON
cana-1059	167	2	allows	allow	VERB
cana-1059	167	3	the	the	DET
cana-1059	167	4	model	model	NOUN
cana-1059	167	5	to	to	PART
cana-1059	167	6	learn	learn	VERB
cana-1059	167	7	how	how	SCONJ
cana-1059	167	8	user	user	NOUN
cana-1059	167	9	preferences	preference	NOUN
cana-1059	167	10	evolve	evolve	VERB
cana-1059	167	11	or	or	CCONJ
cana-1059	167	12	how	how	SCONJ
cana-1059	167	13	item	item	NOUN
cana-1059	167	14	attributes	attribute	VERB
cana-1059	167	15	influence	influence	NOUN
cana-1059	167	16	each	each	DET
cana-1059	167	17	other	other	ADJ
cana-1059	167	18	based	base	VERB
cana-1059	167	19	on	on	ADP
cana-1059	167	20	the	the	DET
cana-1059	167	21	order	order	NOUN
cana-1059	167	22	of	of	ADP
cana-1059	167	23	reviews	review	NOUN
cana-1059	167	24	in	in	ADP
cana-1059	167	25	a	a	DET
cana-1059	167	26	sequence	sequence	NOUN
cana-1059	167	27	.	.	PUNCT
cana-1059	168	1	•	•	NUM
cana-1059	168	2	another	another	DET
cana-1059	168	3	attention	attention	NOUN
cana-1059	168	4	mechanism	mechanism	NOUN
cana-1059	168	5	with	with	ADP
cana-1059	168	6	a	a	DET
cana-1059	168	7	softmax	softmax	NOUN
cana-1059	168	8	layer	layer	NOUN
cana-1059	168	9	focuses	focus	VERB
cana-1059	168	10	on	on	ADP
cana-1059	168	11	the	the	DET
cana-1059	168	12	most	most	ADV
cana-1059	168	13	important	important	ADJ
cana-1059	168	14	aspects	aspect	NOUN
cana-1059	168	15	of	of	ADP
cana-1059	168	16	the	the	DET
cana-1059	168	17	processed	process	VERB
cana-1059	168	18	information	information	NOUN
cana-1059	168	19	within	within	ADP
cana-1059	168	20	the	the	DET
cana-1059	168	21	rnn	rnn	NOUN
cana-1059	168	22	output	output	NOUN
cana-1059	168	23	.	.	PUNCT
cana-1059	169	1	this	this	DET
cana-1059	169	2	step	step	NOUN
cana-1059	169	3	identifies	identify	VERB
cana-1059	169	4	the	the	DET
cana-1059	169	5	most	most	ADV
cana-1059	169	6	relevant	relevant	ADJ
cana-1059	169	7	elements	element	NOUN
cana-1059	169	8	or	or	CCONJ
cana-1059	169	9	combinations	combination	NOUN
cana-1059	169	10	of	of	ADP
cana-1059	169	11	elements	element	NOUN
cana-1059	169	12	within	within	ADP
cana-1059	169	13	the	the	DET
cana-1059	169	14	review	review	NOUN
cana-1059	169	15	sequence	sequence	NOUN
cana-1059	169	16	for	for	ADP
cana-1059	169	17	accurate	accurate	ADJ
cana-1059	169	18	rating	rating	NOUN
cana-1059	169	19	prediction	prediction	NOUN
cana-1059	169	20	.	.	PUNCT
cana-1059	170	1	figure	figure	NOUN
cana-1059	170	2	1	1	NUM
cana-1059	170	3	:	:	PUNCT
cana-1059	170	4	the	the	DET
cana-1059	170	5	architecture	architecture	NOUN
cana-1059	170	6	of	of	ADP
cana-1059	170	7	our	our	PRON
cana-1059	170	8	proposed	propose	VERB
cana-1059	170	9	arrn	arrn	ADP
cana-1059	170	10	hybrid	hybrid	ADJ
cana-1059	170	11	recommendation	recommendation	NOUN
cana-1059	170	12	model	model	NOUN
cana-1059	170	13	.	.	PUNCT
cana-1059	171	1	5	5	X
cana-1059	171	2	.	.	NOUN
cana-1059	171	3	prediction	prediction	NOUN
cana-1059	171	4	layer	layer	NOUN
cana-1059	171	5	for	for	ADP
cana-1059	171	6	rating	rating	NOUN
cana-1059	171	7	/	/	SYM
cana-1059	171	8	preference	preference	NOUN
cana-1059	171	9	scores	score	NOUN
cana-1059	171	10	:	:	PUNCT
cana-1059	171	11	the	the	DET
cana-1059	171	12	final	final	ADJ
cana-1059	171	13	prediction	prediction	NOUN
cana-1059	171	14	stage	stage	NOUN
cana-1059	171	15	involves	involve	VERB
cana-1059	171	16	processing	process	VERB
cana-1059	171	17	the	the	DET
cana-1059	171	18	interaction	interaction	NOUN
cana-1059	171	19	vector	vector	NOUN
cana-1059	171	20	with	with	ADP
cana-1059	171	21	the	the	DET
cana-1059	171	22	attention	attention	NOUN
cana-1059	171	23	weights	weight	NOUN
cana-1059	171	24	from	from	ADP
cana-1059	171	25	the	the	DET
cana-1059	171	26	review	review	NOUN
cana-1059	171	27	-	-	PUNCT
cana-1059	171	28	based	base	VERB
cana-1059	171	29	attention	attention	NOUN
cana-1059	171	30	mechanism	mechanism	NOUN
cana-1059	171	31	.	.	PUNCT
cana-1059	172	1	this	this	PRON
cana-1059	172	2	incorporates	incorporate	VERB
cana-1059	172	3	the	the	DET
cana-1059	172	4	importance	importance	NOUN
cana-1059	172	5	of	of	ADP
cana-1059	172	6	different	different	ADJ
cana-1059	172	7	aspects	aspect	NOUN
cana-1059	172	8	learned	learn	VERB
cana-1059	172	9	from	from	ADP
cana-1059	172	10	the	the	DET
cana-1059	172	11	review	review	NOUN
cana-1059	172	12	sequence	sequence	NOUN
cana-1059	172	13	.	.	PUNCT
cana-1059	173	1	the	the	DET
cana-1059	173	2	processed	process	VERB
cana-1059	173	3	vector	vector	NOUN
cana-1059	173	4	is	be	AUX
cana-1059	173	5	then	then	ADV
cana-1059	173	6	fed	feed	VERB
cana-1059	173	7	into	into	ADP
cana-1059	173	8	dense	dense	ADJ
cana-1059	173	9	layers	layer	NOUN
cana-1059	173	10	with	with	ADP
cana-1059	173	11	relu	relu	NOUN
cana-1059	173	12	activation	activation	NOUN
cana-1059	173	13	for	for	ADP
cana-1059	173	14	further	further	ADJ
cana-1059	173	15	transformations	transformation	NOUN
cana-1059	173	16	.	.	PUNCT
cana-1059	174	1	dropout	dropout	NOUN
cana-1059	174	2	regularization	regularization	NOUN
cana-1059	174	3	is	be	AUX
cana-1059	174	4	applied	apply	VERB
cana-1059	174	5	to	to	PART
cana-1059	174	6	prevent	prevent	VERB
cana-1059	174	7	overfitting	overfitting	NOUN
cana-1059	174	8	.	.	PUNCT
cana-1059	175	1	finally	finally	ADV
cana-1059	175	2	,	,	PUNCT
cana-1059	175	3	a	a	DET
cana-1059	175	4	dense	dense	ADJ
cana-1059	175	5	layer	layer	NOUN
cana-1059	175	6	with	with	ADP
cana-1059	175	7	one	one	NUM
cana-1059	175	8	neuron	neuron	NOUN
cana-1059	175	9	and	and	CCONJ
cana-1059	175	10	an	an	DET
cana-1059	175	11	activation	activation	NOUN
cana-1059	175	12	function	function	NOUN
cana-1059	175	13	generates	generate	VERB
cana-1059	175	14	the	the	DET
cana-1059	175	15	model	model	NOUN
cana-1059	175	16	’s	’s	PART
cana-1059	175	17	prediction	prediction	NOUN
cana-1059	175	18	for	for	ADP
cana-1059	175	19	user	user	NOUN
cana-1059	175	20	ratings	rating	NOUN
cana-1059	175	21	or	or	CCONJ
cana-1059	175	22	preferences	preference	NOUN
cana-1059	175	23	for	for	ADP
cana-1059	175	24	specific	specific	ADJ
cana-1059	175	25	items	item	NOUN
cana-1059	175	26	.	.	PUNCT
cana-1059	176	1	communications	communication	NOUN
cana-1059	176	2	on	on	ADP
cana-1059	176	3	applied	apply	VERB
cana-1059	176	4	nonlinear	nonlinear	ADJ
cana-1059	176	5	analysis	analysis	NOUN
cana-1059	176	6	issn	issn	NOUN
cana-1059	176	7	:	:	PUNCT
cana-1059	176	8	1074	1074	NUM
cana-1059	176	9	-	-	PUNCT
cana-1059	176	10	133x	133x	NUM
cana-1059	176	11	vol	vol	NOUN
cana-1059	176	12	31	31	NUM
cana-1059	176	13	no	no	NOUN
cana-1059	176	14	.	.	PUNCT
cana-1059	177	1	5s	5s	NUM
cana-1059	177	2	(	(	PUNCT
cana-1059	177	3	2024	2024	NUM
cana-1059	177	4	)	)	PUNCT
cana-1059	177	5	404	404	NUM
cana-1059	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	177	7	by	by	ADP
cana-1059	177	8	incorporating	incorporate	VERB
cana-1059	177	9	sentiment	sentiment	NOUN
cana-1059	177	10	/	/	SYM
cana-1059	177	11	content	content	NOUN
cana-1059	177	12	information	information	NOUN
cana-1059	177	13	,	,	PUNCT
cana-1059	177	14	attention	attention	NOUN
cana-1059	177	15	mechanisms	mechanism	NOUN
cana-1059	177	16	,	,	PUNCT
cana-1059	177	17	and	and	CCONJ
cana-1059	177	18	review	review	NOUN
cana-1059	177	19	-	-	PUNCT
cana-1059	177	20	based	base	VERB
cana-1059	177	21	attention	attention	NOUN
cana-1059	177	22	,	,	PUNCT
cana-1059	177	23	the	the	DET
cana-1059	177	24	arnn	arnn	NOUN
cana-1059	177	25	model	model	NOUN
cana-1059	177	26	refines	refine	VERB
cana-1059	177	27	the	the	DET
cana-1059	177	28	user	user	NOUN
cana-1059	177	29	and	and	CCONJ
cana-1059	177	30	item	item	NOUN
cana-1059	177	31	latent	latent	NOUN
cana-1059	177	32	representations	representation	NOUN
cana-1059	177	33	and	and	CCONJ
cana-1059	177	34	captures	capture	VERB
cana-1059	177	35	complex	complex	ADJ
cana-1059	177	36	dynamics	dynamic	NOUN
cana-1059	177	37	within	within	ADP
cana-1059	177	38	user	user	NOUN
cana-1059	177	39	-	-	PUNCT
cana-1059	177	40	item	item	NOUN
cana-1059	177	41	interactions	interaction	NOUN
cana-1059	177	42	,	,	PUNCT
cana-1059	177	43	leading	lead	VERB
cana-1059	177	44	to	to	ADP
cana-1059	177	45	more	more	ADV
cana-1059	177	46	accurate	accurate	ADJ
cana-1059	177	47	personalized	personalized	ADJ
cana-1059	177	48	product	product	NOUN
cana-1059	177	49	recommendations	recommendation	NOUN
cana-1059	177	50	.	.	PUNCT
cana-1059	178	1	3.3	3.3	NUM
cana-1059	178	2	.	.	PUNCT
cana-1059	178	3	training	training	NOUN
cana-1059	178	4	module	module	NOUN
cana-1059	178	5	to	to	PART
cana-1059	178	6	evaluate	evaluate	VERB
cana-1059	178	7	the	the	DET
cana-1059	178	8	proposed	propose	VERB
cana-1059	178	9	hybrid	hybrid	NOUN
cana-1059	178	10	recommendation	recommendation	NOUN
cana-1059	178	11	systems	system	NOUN
cana-1059	178	12	,	,	PUNCT
cana-1059	178	13	we	we	PRON
cana-1059	178	14	implemented	implement	VERB
cana-1059	178	15	a	a	DET
cana-1059	178	16	two	two	NUM
cana-1059	178	17	-	-	PUNCT
cana-1059	178	18	part	part	NOUN
cana-1059	178	19	training	training	NOUN
cana-1059	178	20	methodology	methodology	NOUN
cana-1059	178	21	.	.	PUNCT
cana-1059	179	1	first	first	ADV
cana-1059	179	2	,	,	PUNCT
cana-1059	179	3	we	we	PRON
cana-1059	179	4	analyse	analyse	VERB
cana-1059	179	5	the	the	DET
cana-1059	179	6	impact	impact	NOUN
cana-1059	179	7	of	of	ADP
cana-1059	179	8	training	training	NOUN
cana-1059	179	9	data	datum	NOUN
cana-1059	179	10	size	size	NOUN
cana-1059	179	11	.	.	PUNCT
cana-1059	180	1	here	here	ADV
cana-1059	180	2	,	,	PUNCT
cana-1059	180	3	the	the	DET
cana-1059	180	4	dataset	dataset	NOUN
cana-1059	180	5	,	,	PUNCT
cana-1059	180	6	containing	contain	VERB
cana-1059	180	7	user	user	NOUN
cana-1059	180	8	reviews	review	NOUN
cana-1059	180	9	for	for	ADP
cana-1059	180	10	baby	baby	NOUN
cana-1059	180	11	products	product	NOUN
cana-1059	180	12	(	(	PUNCT
cana-1059	180	13	over	over	ADP
cana-1059	180	14	900,000	900,000	NUM
cana-1059	180	15	entries	entry	NOUN
cana-1059	180	16	)	)	PUNCT
cana-1059	180	17	and	and	CCONJ
cana-1059	180	18	corresponding	correspond	VERB
cana-1059	180	19	product	product	NOUN
cana-1059	180	20	information	information	NOUN
cana-1059	180	21	(	(	PUNCT
cana-1059	180	22	over	over	ADP
cana-1059	180	23	70,000	70,000	NUM
cana-1059	180	24	entries	entry	NOUN
cana-1059	180	25	)	)	PUNCT
cana-1059	180	26	,	,	PUNCT
cana-1059	180	27	is	be	AUX
cana-1059	180	28	split	split	VERB
cana-1059	180	29	into	into	ADP
cana-1059	180	30	training	training	NOUN
cana-1059	180	31	and	and	CCONJ
cana-1059	180	32	testing	testing	NOUN
cana-1059	180	33	sets	set	NOUN
cana-1059	180	34	with	with	ADP
cana-1059	180	35	varying	vary	VERB
cana-1059	180	36	ratios	ratio	NOUN
cana-1059	180	37	.	.	PUNCT
cana-1059	181	1	this	this	PRON
cana-1059	181	2	allows	allow	VERB
cana-1059	181	3	us	we	PRON
cana-1059	181	4	to	to	PART
cana-1059	181	5	train	train	VERB
cana-1059	181	6	and	and	CCONJ
cana-1059	181	7	evaluate	evaluate	VERB
cana-1059	181	8	different	different	ADJ
cana-1059	181	9	recommendation	recommendation	NOUN
cana-1059	181	10	models	model	NOUN
cana-1059	181	11	on	on	ADP
cana-1059	181	12	datasets	dataset	NOUN
cana-1059	181	13	of	of	ADP
cana-1059	181	14	different	different	ADJ
cana-1059	181	15	sizes	size	NOUN
cana-1059	181	16	.	.	PUNCT
cana-1059	182	1	by	by	ADP
cana-1059	182	2	examining	examine	VERB
cana-1059	182	3	performance	performance	NOUN
cana-1059	182	4	metrics	metric	NOUN
cana-1059	182	5	,	,	PUNCT
cana-1059	182	6	we	we	PRON
cana-1059	182	7	can	can	AUX
cana-1059	182	8	understand	understand	VERB
cana-1059	182	9	how	how	SCONJ
cana-1059	182	10	model	model	NOUN
cana-1059	182	11	performance	performance	NOUN
cana-1059	182	12	scales	scale	VERB
cana-1059	182	13	with	with	ADP
cana-1059	182	14	increasing	increase	VERB
cana-1059	182	15	data	datum	NOUN
cana-1059	182	16	availability	availability	NOUN
cana-1059	182	17	,	,	PUNCT
cana-1059	182	18	ultimately	ultimately	ADV
cana-1059	182	19	determining	determine	VERB
cana-1059	182	20	the	the	DET
cana-1059	182	21	optimal	optimal	ADJ
cana-1059	182	22	data	datum	NOUN
cana-1059	182	23	volume	volume	NOUN
cana-1059	182	24	for	for	ADP
cana-1059	182	25	the	the	DET
cana-1059	182	26	system	system	NOUN
cana-1059	182	27	.	.	PUNCT
cana-1059	183	1	secondly	secondly	ADV
cana-1059	183	2	,	,	PUNCT
cana-1059	183	3	kfold	kfold	NOUN
cana-1059	183	4	cross	cross	ADJ
cana-1059	183	5	-	-	ADJ
cana-1059	183	6	validation	validation	ADJ
cana-1059	183	7	assesses	assesse	NOUN
cana-1059	183	8	model	model	NOUN
cana-1059	183	9	generalization	generalization	NOUN
cana-1059	183	10	capabilities	capability	NOUN
cana-1059	183	11	.	.	PUNCT
cana-1059	184	1	this	this	DET
cana-1059	184	2	technique	technique	NOUN
cana-1059	184	3	involves	involve	VERB
cana-1059	184	4	splitting	split	VERB
cana-1059	184	5	the	the	DET
cana-1059	184	6	data	datum	NOUN
cana-1059	184	7	into	into	ADP
cana-1059	184	8	folds	fold	NOUN
cana-1059	184	9	,	,	PUNCT
cana-1059	184	10	training	train	VERB
cana-1059	184	11	the	the	DET
cana-1059	184	12	model	model	NOUN
cana-1059	184	13	on	on	ADP
cana-1059	184	14	all	all	DET
cana-1059	184	15	data	datum	NOUN
cana-1059	184	16	points	point	NOUN
cana-1059	184	17	except	except	SCONJ
cana-1059	184	18	for	for	ADP
cana-1059	184	19	one	one	NUM
cana-1059	184	20	-	-	ADJ
cana-1059	184	21	fold	fold	ADJ
cana-1059	184	22	(	(	PUNCT
cana-1059	184	23	testing	testing	NOUN
cana-1059	184	24	set	set	NOUN
cana-1059	184	25	)	)	PUNCT
cana-1059	184	26	,	,	PUNCT
cana-1059	184	27	and	and	CCONJ
cana-1059	184	28	repeating	repeat	VERB
cana-1059	184	29	this	this	DET
cana-1059	184	30	process	process	NOUN
cana-1059	184	31	for	for	ADP
cana-1059	184	32	all	all	DET
cana-1059	184	33	folds	fold	NOUN
cana-1059	184	34	.	.	PUNCT
cana-1059	185	1	the	the	DET
cana-1059	185	2	performance	performance	NOUN
cana-1059	185	3	scores	score	NOUN
cana-1059	185	4	across	across	ADP
cana-1059	185	5	all	all	DET
cana-1059	185	6	folds	fold	NOUN
cana-1059	185	7	are	be	AUX
cana-1059	185	8	then	then	ADV
cana-1059	185	9	averaged	average	VERB
cana-1059	185	10	for	for	ADP
cana-1059	185	11	each	each	DET
cana-1059	185	12	model	model	NOUN
cana-1059	185	13	.	.	PUNCT
cana-1059	186	1	this	this	DET
cana-1059	186	2	approach	approach	NOUN
cana-1059	186	3	provides	provide	VERB
cana-1059	186	4	a	a	DET
cana-1059	186	5	more	more	ADV
cana-1059	186	6	robust	robust	ADJ
cana-1059	186	7	estimate	estimate	NOUN
cana-1059	186	8	of	of	ADP
cana-1059	186	9	a	a	DET
cana-1059	186	10	model	model	NOUN
cana-1059	186	11	’s	’s	PART
cana-1059	186	12	ability	ability	NOUN
cana-1059	186	13	to	to	PART
cana-1059	186	14	perform	perform	VERB
cana-1059	186	15	well	well	ADV
cana-1059	186	16	on	on	ADP
cana-1059	186	17	unseen	unseen	ADJ
cana-1059	186	18	data	datum	NOUN
cana-1059	186	19	,	,	PUNCT
cana-1059	186	20	a	a	DET
cana-1059	186	21	crucial	crucial	ADJ
cana-1059	186	22	factor	factor	NOUN
cana-1059	186	23	for	for	ADP
cana-1059	186	24	real	real	ADJ
cana-1059	186	25	-	-	PUNCT
cana-1059	186	26	world	world	NOUN
cana-1059	186	27	recommendation	recommendation	NOUN
cana-1059	186	28	systems	system	NOUN
cana-1059	186	29	.	.	PUNCT
cana-1059	187	1	in	in	ADP
cana-1059	187	2	essence	essence	NOUN
cana-1059	187	3	,	,	PUNCT
cana-1059	187	4	the	the	DET
cana-1059	187	5	training	training	NOUN
cana-1059	187	6	methodology	methodology	NOUN
cana-1059	187	7	,	,	PUNCT
cana-1059	187	8	combined	combine	VERB
cana-1059	187	9	with	with	ADP
cana-1059	187	10	the	the	DET
cana-1059	187	11	rich	rich	ADJ
cana-1059	187	12	dataset	dataset	NOUN
cana-1059	187	13	description	description	NOUN
cana-1059	187	14	,	,	PUNCT
cana-1059	187	15	allows	allow	VERB
cana-1059	187	16	for	for	ADP
cana-1059	187	17	a	a	DET
cana-1059	187	18	comprehensive	comprehensive	ADJ
cana-1059	187	19	evaluation	evaluation	NOUN
cana-1059	187	20	of	of	ADP
cana-1059	187	21	the	the	DET
cana-1059	187	22	proposed	propose	VERB
cana-1059	187	23	hybrid	hybrid	NOUN
cana-1059	187	24	recommendation	recommendation	NOUN
cana-1059	187	25	systems	system	NOUN
cana-1059	187	26	.	.	PUNCT
cana-1059	188	1	analysing	analyse	VERB
cana-1059	188	2	the	the	DET
cana-1059	188	3	impact	impact	NOUN
cana-1059	188	4	of	of	ADP
cana-1059	188	5	training	training	NOUN
cana-1059	188	6	data	datum	NOUN
cana-1059	188	7	size	size	NOUN
cana-1059	188	8	and	and	CCONJ
cana-1059	188	9	assessing	assess	VERB
cana-1059	188	10	generalization	generalization	NOUN
cana-1059	188	11	capabilities	capability	NOUN
cana-1059	188	12	ensures	ensure	VERB
cana-1059	188	13	we	we	PRON
cana-1059	188	14	can	can	AUX
cana-1059	188	15	select	select	VERB
cana-1059	188	16	and	and	CCONJ
cana-1059	188	17	fine	fine	ADJ
cana-1059	188	18	-	-	PUNCT
cana-1059	188	19	tune	tune	NOUN
cana-1059	188	20	models	model	NOUN
cana-1059	188	21	for	for	ADP
cana-1059	188	22	optimal	optimal	ADJ
cana-1059	188	23	performance	performance	NOUN
cana-1059	188	24	in	in	ADP
cana-1059	188	25	real	real	ADJ
cana-1059	188	26	-	-	PUNCT
cana-1059	188	27	world	world	NOUN
cana-1059	188	28	recommendation	recommendation	NOUN
cana-1059	188	29	scenarios	scenario	NOUN
cana-1059	188	30	.	.	PUNCT
cana-1059	189	1	4	4	X
cana-1059	189	2	.	.	X
cana-1059	189	3	experimental	experimental	ADJ
cana-1059	189	4	setup	setup	NOUN
cana-1059	189	5	to	to	PART
cana-1059	189	6	evaluate	evaluate	VERB
cana-1059	189	7	the	the	DET
cana-1059	189	8	effectiveness	effectiveness	NOUN
cana-1059	189	9	and	and	CCONJ
cana-1059	189	10	performance	performance	NOUN
cana-1059	189	11	of	of	ADP
cana-1059	189	12	the	the	DET
cana-1059	189	13	proposed	propose	VERB
cana-1059	189	14	arnn	arnn	VERB
cana-1059	189	15	hybrid	hybrid	ADJ
cana-1059	189	16	recommendation	recommendation	NOUN
cana-1059	189	17	model	model	NOUN
cana-1059	189	18	,	,	PUNCT
cana-1059	189	19	comprehensive	comprehensive	ADJ
cana-1059	189	20	experiments	experiment	NOUN
cana-1059	189	21	were	be	AUX
cana-1059	189	22	conducted	conduct	VERB
cana-1059	189	23	using	use	VERB
cana-1059	189	24	real	real	ADJ
cana-1059	189	25	world	world	NOUN
cana-1059	189	26	data	datum	NOUN
cana-1059	189	27	.	.	PUNCT
cana-1059	190	1	this	this	DET
cana-1059	190	2	section	section	NOUN
cana-1059	190	3	outlines	outline	VERB
cana-1059	190	4	the	the	DET
cana-1059	190	5	dataset	dataset	NOUN
cana-1059	190	6	,	,	PUNCT
cana-1059	190	7	evaluation	evaluation	NOUN
cana-1059	190	8	metrics	metric	NOUN
cana-1059	190	9	,	,	PUNCT
cana-1059	190	10	baseline	baseline	ADJ
cana-1059	190	11	comparisons	comparison	NOUN
cana-1059	190	12	and	and	CCONJ
cana-1059	190	13	experimental	experimental	ADJ
cana-1059	190	14	result	result	NOUN
cana-1059	190	15	employed	employ	VERB
cana-1059	190	16	in	in	ADP
cana-1059	190	17	the	the	DET
cana-1059	190	18	study	study	NOUN
cana-1059	190	19	.	.	PUNCT
cana-1059	191	1	4.1	4.1	NUM
cana-1059	191	2	.	.	PUNCT
cana-1059	192	1	dataset	dataset	NOUN
cana-1059	192	2	:	:	PUNCT
cana-1059	192	3	the	the	DET
cana-1059	192	4	experimental	experimental	ADJ
cana-1059	192	5	dataset	dataset	NOUN
cana-1059	192	6	used	use	VERB
cana-1059	192	7	in	in	ADP
cana-1059	192	8	this	this	DET
cana-1059	192	9	study	study	NOUN
cana-1059	192	10	comprises	comprise	VERB
cana-1059	192	11	amazon	amazon	NOUN
cana-1059	192	12	baby	baby	NOUN
cana-1059	192	13	product	product	NOUN
cana-1059	192	14	data	datum	NOUN
cana-1059	192	15	,	,	PUNCT
cana-1059	192	16	which	which	PRON
cana-1059	192	17	includes	include	VERB
cana-1059	192	18	user	user	NOUN
cana-1059	192	19	interactions	interaction	NOUN
cana-1059	192	20	with	with	ADP
cana-1059	192	21	various	various	ADJ
cana-1059	192	22	baby	baby	NOUN
cana-1059	192	23	items	item	NOUN
cana-1059	192	24	.	.	PUNCT
cana-1059	193	1	the	the	DET
cana-1059	193	2	dataset	dataset	NOUN
cana-1059	193	3	contains	contain	VERB
cana-1059	193	4	user	user	NOUN
cana-1059	193	5	ids	id	NOUN
cana-1059	193	6	,	,	PUNCT
cana-1059	193	7	item	item	NOUN
cana-1059	193	8	ids	id	NOUN
cana-1059	193	9	,	,	PUNCT
cana-1059	193	10	user	user	NOUN
cana-1059	193	11	sentiment	sentiment	NOUN
cana-1059	193	12	scores	score	NOUN
cana-1059	193	13	extracted	extract	VERB
cana-1059	193	14	from	from	ADP
cana-1059	193	15	reviews	review	NOUN
cana-1059	193	16	,	,	PUNCT
cana-1059	193	17	and	and	CCONJ
cana-1059	193	18	numerical	numerical	ADJ
cana-1059	193	19	representations	representation	NOUN
cana-1059	193	20	of	of	ADP
cana-1059	193	21	item	item	NOUN
cana-1059	193	22	attributes	attribute	NOUN
cana-1059	193	23	.	.	PUNCT
cana-1059	194	1	4.2	4.2	NUM
cana-1059	194	2	.	.	PUNCT
cana-1059	194	3	evaluation	evaluation	NOUN
cana-1059	194	4	metrics	metric	NOUN
cana-1059	194	5	:	:	PUNCT
cana-1059	194	6	the	the	DET
cana-1059	194	7	performance	performance	NOUN
cana-1059	194	8	of	of	ADP
cana-1059	194	9	the	the	DET
cana-1059	194	10	arnn	arnn	NOUN
cana-1059	194	11	model	model	NOUN
cana-1059	194	12	was	be	AUX
cana-1059	194	13	assessed	assess	VERB
cana-1059	194	14	using	use	VERB
cana-1059	194	15	the	the	DET
cana-1059	194	16	following	follow	VERB
cana-1059	194	17	evaluation	evaluation	NOUN
cana-1059	194	18	metrics	metric	NOUN
cana-1059	194	19	:	:	PUNCT
cana-1059	194	20	•	•	NUM
cana-1059	194	21	mean	mean	VERB
cana-1059	194	22	absolute	absolute	ADJ
cana-1059	194	23	error	error	NOUN
cana-1059	194	24	(	(	PUNCT
cana-1059	194	25	mae	mae	PROPN
cana-1059	194	26	):	):	PUNCT
cana-1059	194	27	measures	measure	NOUN
cana-1059	194	28	the	the	DET
cana-1059	194	29	average	average	ADJ
cana-1059	194	30	magnitude	magnitude	NOUN
cana-1059	194	31	of	of	ADP
cana-1059	194	32	errors	error	NOUN
cana-1059	194	33	between	between	ADP
cana-1059	194	34	predicted	predict	VERB
cana-1059	194	35	and	and	CCONJ
cana-1059	194	36	actual	actual	ADJ
cana-1059	194	37	ratings	rating	NOUN
cana-1059	194	38	.	.	PUNCT
cana-1059	195	1	•	•	NUM
cana-1059	195	2	mean	mean	VERB
cana-1059	195	3	squared	square	VERB
cana-1059	195	4	error	error	NOUN
cana-1059	195	5	(	(	PUNCT
cana-1059	195	6	mse	mse	NOUN
cana-1059	195	7	):	):	PUNCT
cana-1059	195	8	quantifies	quantifie	NOUN
cana-1059	195	9	the	the	DET
cana-1059	195	10	average	average	ADJ
cana-1059	195	11	squared	square	VERB
cana-1059	195	12	differences	difference	NOUN
cana-1059	195	13	between	between	ADP
cana-1059	195	14	predicted	predict	VERB
cana-1059	195	15	and	and	CCONJ
cana-1059	195	16	actual	actual	ADJ
cana-1059	195	17	ratings	rating	NOUN
cana-1059	195	18	.	.	PUNCT
cana-1059	196	1	•	•	NUM
cana-1059	196	2	root	root	NOUN
cana-1059	196	3	mean	mean	VERB
cana-1059	196	4	squared	square	VERB
cana-1059	196	5	error	error	NOUN
cana-1059	196	6	(	(	PUNCT
cana-1059	196	7	rmse	rmse	NOUN
cana-1059	196	8	):	):	PUNCT
cana-1059	196	9	represents	represent	VERB
cana-1059	196	10	the	the	DET
cana-1059	196	11	square	square	ADJ
cana-1059	196	12	root	root	NOUN
cana-1059	196	13	of	of	ADP
cana-1059	196	14	the	the	DET
cana-1059	196	15	mse	mse	NOUN
cana-1059	196	16	,	,	PUNCT
cana-1059	196	17	providing	provide	VERB
cana-1059	196	18	a	a	DET
cana-1059	196	19	measure	measure	NOUN
cana-1059	196	20	of	of	ADP
cana-1059	196	21	the	the	DET
cana-1059	196	22	model	model	NOUN
cana-1059	196	23	’s	’s	PART
cana-1059	196	24	prediction	prediction	NOUN
cana-1059	196	25	accuracy	accuracy	NOUN
cana-1059	196	26	.	.	PUNCT
cana-1059	197	1	4.3	4.3	NUM
cana-1059	197	2	.	.	PUNCT
cana-1059	197	3	baseline	baseline	PROPN
cana-1059	197	4	comparisons	comparison	NOUN
cana-1059	197	5	:	:	PUNCT
cana-1059	197	6	in	in	ADP
cana-1059	197	7	our	our	PRON
cana-1059	197	8	experimental	experimental	ADJ
cana-1059	197	9	setup	setup	NOUN
cana-1059	197	10	,	,	PUNCT
cana-1059	197	11	we	we	PRON
cana-1059	197	12	compared	compare	VERB
cana-1059	197	13	the	the	DET
cana-1059	197	14	proposed	propose	VERB
cana-1059	197	15	attentive	attentive	ADJ
cana-1059	197	16	recurrent	recurrent	ADJ
cana-1059	197	17	recommender	recommender	NOUN
cana-1059	197	18	network	network	NOUN
cana-1059	197	19	(	(	PUNCT
cana-1059	197	20	arrn	arrn	PROPN
cana-1059	197	21	)	)	PUNCT
cana-1059	197	22	with	with	ADP
cana-1059	197	23	four	four	NUM
cana-1059	197	24	state	state	NOUN
cana-1059	197	25	-	-	PUNCT
cana-1059	197	26	of	of	ADP
cana-1059	197	27	-	-	PUNCT
cana-1059	197	28	the	the	DET
cana-1059	197	29	-	-	PUNCT
cana-1059	197	30	art	art	NOUN
cana-1059	197	31	baseline	baseline	NOUN
cana-1059	197	32	models	model	NOUN
cana-1059	197	33	:	:	PUNCT
cana-1059	197	34	a3ncf	a3ncf	ADJ
cana-1059	197	35	,	,	PUNCT
cana-1059	197	36	user	user	NOUN
cana-1059	197	37	-	-	PUNCT
cana-1059	197	38	based	base	VERB
cana-1059	197	39	model	model	NOUN
cana-1059	197	40	,	,	PUNCT
cana-1059	197	41	item	item	NOUN
cana-1059	197	42	-	-	PUNCT
cana-1059	197	43	based	base	VERB
cana-1059	197	44	model	model	NOUN
cana-1059	197	45	,	,	PUNCT
cana-1059	197	46	communications	communication	NOUN
cana-1059	197	47	on	on	ADP
cana-1059	197	48	applied	apply	VERB
cana-1059	197	49	nonlinear	nonlinear	ADJ
cana-1059	197	50	analysis	analysis	NOUN
cana-1059	197	51	issn	issn	NOUN
cana-1059	197	52	:	:	PUNCT
cana-1059	197	53	1074	1074	NUM
cana-1059	197	54	-	-	PUNCT
cana-1059	197	55	133x	133x	NUM
cana-1059	197	56	vol	vol	NOUN
cana-1059	197	57	31	31	NUM
cana-1059	197	58	no	no	NOUN
cana-1059	197	59	.	.	PUNCT
cana-1059	198	1	5s	5s	NUM
cana-1059	198	2	(	(	PUNCT
cana-1059	198	3	2024	2024	NUM
cana-1059	198	4	)	)	PUNCT
cana-1059	198	5	405	405	NUM
cana-1059	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	198	7	and	and	CCONJ
cana-1059	198	8	bilstm	bilstm	NOUN
cana-1059	198	9	model	model	NOUN
cana-1059	198	10	.	.	PUNCT
cana-1059	199	1	the	the	DET
cana-1059	199	2	a3ncf	a3ncf	PROPN
cana-1059	199	3	model	model	NOUN
cana-1059	199	4	employs	employ	VERB
cana-1059	199	5	embeddings	embedding	NOUN
cana-1059	199	6	and	and	CCONJ
cana-1059	199	7	attention	attention	NOUN
cana-1059	199	8	mechanisms	mechanism	NOUN
cana-1059	199	9	for	for	ADP
cana-1059	199	10	effective	effective	ADJ
cana-1059	199	11	user	user	NOUN
cana-1059	199	12	-	-	PUNCT
cana-1059	199	13	item	item	NOUN
cana-1059	199	14	interaction	interaction	NOUN
cana-1059	199	15	modelling	modelling	NOUN
cana-1059	199	16	using	use	VERB
cana-1059	199	17	dense	dense	ADJ
cana-1059	199	18	layers	layer	NOUN
cana-1059	199	19	.	.	PUNCT
cana-1059	200	1	the	the	DET
cana-1059	200	2	user	user	NOUN
cana-1059	200	3	-	-	PUNCT
cana-1059	200	4	based	base	VERB
cana-1059	200	5	model	model	NOUN
cana-1059	200	6	incorporates	incorporate	VERB
cana-1059	200	7	user	user	NOUN
cana-1059	200	8	sentiment	sentiment	NOUN
cana-1059	200	9	features	feature	VERB
cana-1059	200	10	and	and	CCONJ
cana-1059	200	11	attention	attention	NOUN
cana-1059	200	12	mechanisms	mechanism	NOUN
cana-1059	200	13	,	,	PUNCT
cana-1059	200	14	while	while	SCONJ
cana-1059	200	15	the	the	DET
cana-1059	200	16	item	item	NOUN
cana-1059	200	17	based	base	VERB
cana-1059	200	18	model	model	NOUN
cana-1059	200	19	focuses	focus	VERB
cana-1059	200	20	on	on	ADP
cana-1059	200	21	item	item	NOUN
cana-1059	200	22	content	content	NOUN
cana-1059	200	23	features	feature	NOUN
cana-1059	200	24	and	and	CCONJ
cana-1059	200	25	attention	attention	NOUN
cana-1059	200	26	mechanisms	mechanism	NOUN
cana-1059	200	27	.	.	PUNCT
cana-1059	201	1	the	the	DET
cana-1059	201	2	bilstm	bilstm	NOUN
cana-1059	201	3	model	model	NOUN
cana-1059	201	4	leverages	leverage	VERB
cana-1059	201	5	bidirectional	bidirectional	ADJ
cana-1059	201	6	lstm	lstm	ADJ
cana-1059	201	7	units	unit	NOUN
cana-1059	201	8	to	to	PART
cana-1059	201	9	capture	capture	VERB
cana-1059	201	10	sequential	sequential	ADJ
cana-1059	201	11	patterns	pattern	NOUN
cana-1059	201	12	in	in	ADP
cana-1059	201	13	user	user	NOUN
cana-1059	201	14	-	-	PUNCT
cana-1059	201	15	item	item	NOUN
cana-1059	201	16	interactions	interaction	NOUN
cana-1059	201	17	.	.	PUNCT
cana-1059	202	1	the	the	DET
cana-1059	202	2	evaluation	evaluation	NOUN
cana-1059	202	3	focused	focus	VERB
cana-1059	202	4	on	on	ADP
cana-1059	202	5	analysing	analyse	VERB
cana-1059	202	6	model	model	NOUN
cana-1059	202	7	architectures	architecture	NOUN
cana-1059	202	8	,	,	PUNCT
cana-1059	202	9	training	training	NOUN
cana-1059	202	10	strategies	strategy	NOUN
cana-1059	202	11	,	,	PUNCT
cana-1059	202	12	and	and	CCONJ
cana-1059	202	13	performance	performance	NOUN
cana-1059	202	14	metrics	metric	NOUN
cana-1059	202	15	including	include	VERB
cana-1059	202	16	mean	mean	ADJ
cana-1059	202	17	absolute	absolute	ADJ
cana-1059	202	18	error	error	NOUN
cana-1059	202	19	(	(	PUNCT
cana-1059	202	20	mae	mae	PROPN
cana-1059	202	21	)	)	PUNCT
cana-1059	202	22	,	,	PUNCT
cana-1059	202	23	root	root	NOUN
cana-1059	202	24	mean	mean	VERB
cana-1059	202	25	squared	square	VERB
cana-1059	202	26	error	error	NOUN
cana-1059	202	27	(	(	PUNCT
cana-1059	202	28	rmse	rmse	NOUN
cana-1059	202	29	)	)	PUNCT
cana-1059	202	30	,	,	PUNCT
cana-1059	202	31	and	and	CCONJ
cana-1059	202	32	precision	precision	NOUN
cana-1059	202	33	/	/	SYM
cana-1059	202	34	recall	recall	NOUN
cana-1059	202	35	for	for	ADP
cana-1059	202	36	top	top	ADJ
cana-1059	202	37	-	-	PUNCT
cana-1059	202	38	n	n	NOUN
cana-1059	202	39	recommendations	recommendation	NOUN
cana-1059	202	40	.	.	PUNCT
cana-1059	203	1	by	by	ADP
cana-1059	203	2	conducting	conduct	VERB
cana-1059	203	3	a	a	DET
cana-1059	203	4	comprehensive	comprehensive	ADJ
cana-1059	203	5	comparative	comparative	ADJ
cana-1059	203	6	analysis	analysis	NOUN
cana-1059	203	7	,	,	PUNCT
cana-1059	203	8	we	we	PRON
cana-1059	203	9	aimed	aim	VERB
cana-1059	203	10	to	to	PART
cana-1059	203	11	highlight	highlight	VERB
cana-1059	203	12	arrn	arrn	PROPN
cana-1059	203	13	’s	’s	PART
cana-1059	203	14	unique	unique	ADJ
cana-1059	203	15	strengths	strength	NOUN
cana-1059	203	16	in	in	ADP
cana-1059	203	17	capturing	capture	VERB
cana-1059	203	18	temporal	temporal	ADJ
cana-1059	203	19	dynamics	dynamic	NOUN
cana-1059	203	20	and	and	CCONJ
cana-1059	203	21	improving	improve	VERB
cana-1059	203	22	recommendation	recommendation	NOUN
cana-1059	203	23	accuracy	accuracy	NOUN
cana-1059	203	24	.	.	PUNCT
cana-1059	204	1	4.4	4.4	NUM
cana-1059	204	2	.	.	PUNCT
cana-1059	205	1	experimental	experimental	ADJ
cana-1059	205	2	result	result	NOUN
cana-1059	205	3	:	:	PUNCT
cana-1059	205	4	in	in	ADP
cana-1059	205	5	this	this	DET
cana-1059	205	6	study	study	NOUN
cana-1059	205	7	,	,	PUNCT
cana-1059	205	8	we	we	PRON
cana-1059	205	9	conducted	conduct	VERB
cana-1059	205	10	a	a	DET
cana-1059	205	11	comprehensive	comprehensive	ADJ
cana-1059	205	12	evaluation	evaluation	NOUN
cana-1059	205	13	of	of	ADP
cana-1059	205	14	several	several	ADJ
cana-1059	205	15	recommendation	recommendation	NOUN
cana-1059	205	16	algorithms	algorithm	NOUN
cana-1059	205	17	using	use	VERB
cana-1059	205	18	mean	mean	NOUN
cana-1059	205	19	squared	square	VERB
cana-1059	205	20	error	error	NOUN
cana-1059	205	21	(	(	PUNCT
cana-1059	205	22	mse	mse	NOUN
cana-1059	205	23	)	)	PUNCT
cana-1059	205	24	as	as	ADP
cana-1059	205	25	a	a	DET
cana-1059	205	26	performance	performance	NOUN
cana-1059	205	27	metric	metric	ADJ
cana-1059	205	28	during	during	ADP
cana-1059	205	29	the	the	DET
cana-1059	205	30	testing	testing	NOUN
cana-1059	205	31	phase	phase	NOUN
cana-1059	205	32	.	.	PUNCT
cana-1059	206	1	table	table	NOUN
cana-1059	206	2	1	1	NUM
cana-1059	206	3	presents	present	NOUN
cana-1059	206	4	mse	mse	NOUN
cana-1059	206	5	values	value	NOUN
cana-1059	206	6	for	for	ADP
cana-1059	206	7	various	various	ADJ
cana-1059	206	8	algorithms	algorithm	NOUN
cana-1059	206	9	including	include	VERB
cana-1059	206	10	bilstm	bilstm	NOUN
cana-1059	206	11	,	,	PUNCT
cana-1059	206	12	user	user	NOUN
cana-1059	206	13	model	model	NOUN
cana-1059	206	14	,	,	PUNCT
cana-1059	206	15	item	item	NOUN
cana-1059	206	16	model	model	NOUN
cana-1059	206	17	,	,	PUNCT
cana-1059	206	18	a3ncf3	a3ncf3	PROPN
cana-1059	206	19	,	,	PUNCT
cana-1059	206	20	and	and	CCONJ
cana-1059	206	21	arnn	arnn	VERB
cana-1059	206	22	across	across	ADP
cana-1059	206	23	different	different	ADJ
cana-1059	206	24	time	time	NOUN
cana-1059	206	25	points	point	NOUN
cana-1059	206	26	(	(	PUNCT
cana-1059	206	27	50	50	NUM
cana-1059	206	28	,	,	PUNCT
cana-1059	206	29	60	60	NUM
cana-1059	206	30	,	,	PUNCT
cana-1059	206	31	70	70	NUM
cana-1059	206	32	,	,	PUNCT
cana-1059	206	33	80	80	NUM
cana-1059	206	34	,	,	PUNCT
cana-1059	206	35	90	90	NUM
cana-1059	206	36	)	)	PUNCT
cana-1059	206	37	.	.	PUNCT
cana-1059	207	1	table	table	NOUN
cana-1059	207	2	1	1	NUM
cana-1059	207	3	:	:	PUNCT
cana-1059	207	4	comparison	comparison	NOUN
cana-1059	207	5	of	of	ADP
cana-1059	207	6	mse	mse	NOUN
cana-1059	207	7	values	value	NOUN
cana-1059	207	8	for	for	ADP
cana-1059	207	9	recommendation	recommendation	NOUN
cana-1059	207	10	algorithms	algorithm	NOUN
cana-1059	207	11	during	during	ADP
cana-1059	207	12	testing	testing	NOUN
cana-1059	207	13	phase	phase	NOUN
cana-1059	207	14	.	.	PUNCT
cana-1059	208	1	table	table	NOUN
cana-1059	208	2	2	2	NUM
cana-1059	208	3	:	:	PUNCT
cana-1059	208	4	mse	mse	NOUN
cana-1059	208	5	trends	trend	NOUN
cana-1059	208	6	over	over	ADP
cana-1059	208	7	training	training	NOUN
cana-1059	208	8	epochs	epoch	NOUN
cana-1059	208	9	for	for	ADP
cana-1059	208	10	arnn	arnn	NOUN
cana-1059	208	11	.	.	PUNCT
cana-1059	209	1	the	the	DET
cana-1059	209	2	results	result	NOUN
cana-1059	209	3	reveal	reveal	VERB
cana-1059	209	4	significant	significant	ADJ
cana-1059	209	5	performance	performance	NOUN
cana-1059	209	6	variations	variation	NOUN
cana-1059	209	7	among	among	ADP
cana-1059	209	8	the	the	DET
cana-1059	209	9	algorithms	algorithm	NOUN
cana-1059	209	10	.	.	PUNCT
cana-1059	210	1	notably	notably	ADV
cana-1059	210	2	,	,	PUNCT
cana-1059	210	3	arnn	arnn	VERB
cana-1059	210	4	,	,	PUNCT
cana-1059	210	5	our	our	PRON
cana-1059	210	6	proposed	propose	VERB
cana-1059	210	7	algorithm	algorithm	NOUN
cana-1059	210	8	incorporating	incorporate	VERB
cana-1059	210	9	recurrent	recurrent	ADJ
cana-1059	210	10	networks	network	NOUN
cana-1059	210	11	,	,	PUNCT
cana-1059	210	12	demonstrated	demonstrate	VERB
cana-1059	210	13	promising	promising	ADJ
cana-1059	210	14	performance	performance	NOUN
cana-1059	210	15	with	with	ADP
cana-1059	210	16	consistently	consistently	ADV
cana-1059	210	17	low	low	ADJ
cana-1059	210	18	mse	mse	NOUN
cana-1059	210	19	values	value	NOUN
cana-1059	210	20	.	.	PUNCT
cana-1059	211	1	on	on	ADP
cana-1059	211	2	average	average	ADJ
cana-1059	211	3	,	,	PUNCT
cana-1059	211	4	arnn	arnn	VERB
cana-1059	211	5	achieved	achieve	VERB
cana-1059	211	6	competitive	competitive	ADJ
cana-1059	211	7	results	result	NOUN
cana-1059	211	8	compared	compare	VERB
cana-1059	211	9	to	to	ADP
cana-1059	211	10	other	other	ADJ
cana-1059	211	11	advanced	advanced	ADJ
cana-1059	211	12	models	model	NOUN
cana-1059	211	13	.	.	PUNCT
cana-1059	212	1	specifically	specifically	ADV
cana-1059	212	2	,	,	PUNCT
cana-1059	212	3	arnn	arnn	VERB
cana-1059	212	4	outperformed	outperform	VERB
cana-1059	212	5	the	the	DET
cana-1059	212	6	bilstm	bilstm	NOUN
cana-1059	212	7	model	model	NOUN
cana-1059	212	8	by	by	ADP
cana-1059	212	9	approximately	approximately	ADV
cana-1059	212	10	3.5	3.5	NUM
cana-1059	212	11	%	%	NOUN
cana-1059	212	12	in	in	ADP
cana-1059	212	13	mse	mse	NOUN
cana-1059	212	14	reduction	reduction	NOUN
cana-1059	212	15	,	,	PUNCT
cana-1059	212	16	showcasing	showcase	VERB
cana-1059	212	17	its	its	PRON
cana-1059	212	18	effectiveness	effectiveness	NOUN
cana-1059	212	19	in	in	ADP
cana-1059	212	20	capturing	capture	VERB
cana-1059	212	21	sequential	sequential	ADJ
cana-1059	212	22	patterns	pattern	NOUN
cana-1059	212	23	for	for	ADP
cana-1059	212	24	recommendation	recommendation	NOUN
cana-1059	212	25	tasks	task	NOUN
cana-1059	212	26	.	.	PUNCT
cana-1059	213	1	moreover	moreover	ADV
cana-1059	213	2	,	,	PUNCT
cana-1059	213	3	arnn	arnn	VERB
cana-1059	213	4	exhibited	exhibit	VERB
cana-1059	213	5	an	an	DET
cana-1059	213	6	average	average	ADJ
cana-1059	213	7	mse	mse	NOUN
cana-1059	213	8	improvement	improvement	NOUN
cana-1059	213	9	of	of	ADP
cana-1059	213	10	approximately	approximately	ADV
cana-1059	213	11	2.4	2.4	NUM
cana-1059	213	12	%	%	NOUN
cana-1059	213	13	over	over	ADP
cana-1059	213	14	the	the	DET
cana-1059	213	15	user	user	NOUN
cana-1059	213	16	model	model	NOUN
cana-1059	213	17	and	and	CCONJ
cana-1059	213	18	2.9	2.9	NUM
cana-1059	213	19	%	%	NOUN
cana-1059	213	20	over	over	ADP
cana-1059	213	21	the	the	DET
cana-1059	213	22	item	item	NOUN
cana-1059	213	23	model	model	NOUN
cana-1059	213	24	,	,	PUNCT
cana-1059	213	25	indicating	indicate	VERB
cana-1059	213	26	its	its	PRON
cana-1059	213	27	superiority	superiority	NOUN
cana-1059	213	28	in	in	ADP
cana-1059	213	29	predicting	predict	VERB
cana-1059	213	30	user	user	NOUN
cana-1059	213	31	-	-	PUNCT
cana-1059	213	32	item	item	NOUN
cana-1059	213	33	interactions	interaction	NOUN
cana-1059	213	34	.	.	PUNCT
cana-1059	214	1	furthermore	furthermore	ADV
cana-1059	214	2	,	,	PUNCT
cana-1059	214	3	arnn	arnn	VERB
cana-1059	214	4	performed	perform	VERB
cana-1059	214	5	competitively	competitively	ADV
cana-1059	214	6	compared	compare	VERB
cana-1059	214	7	to	to	ADP
cana-1059	214	8	the	the	DET
cana-1059	214	9	a3ncf3	a3ncf3	PROPN
cana-1059	214	10	approach	approach	NOUN
cana-1059	214	11	,	,	PUNCT
cana-1059	214	12	with	with	ADP
cana-1059	214	13	arnn	arnn	NOUN
cana-1059	214	14	achieving	achieve	VERB
cana-1059	214	15	an	an	DET
cana-1059	214	16	average	average	ADJ
cana-1059	214	17	mse	mse	NOUN
cana-1059	214	18	improvement	improvement	NOUN
cana-1059	214	19	of	of	ADP
cana-1059	214	20	approximately	approximately	ADV
cana-1059	214	21	1.5	1.5	NUM
cana-1059	214	22	%	%	NOUN
cana-1059	214	23	over	over	ADP
cana-1059	214	24	a3ncf3	a3ncf3	PROPN
cana-1059	214	25	.	.	PUNCT
cana-1059	215	1	both	both	DET
cana-1059	215	2	algorithms	algorithm	NOUN
cana-1059	215	3	demonstrated	demonstrate	VERB
cana-1059	215	4	low	low	ADJ
cana-1059	215	5	mse	mse	NOUN
cana-1059	215	6	values	value	NOUN
cana-1059	215	7	,	,	PUNCT
cana-1059	215	8	highlighting	highlight	VERB
cana-1059	215	9	their	their	PRON
cana-1059	215	10	effectiveness	effectiveness	NOUN
cana-1059	215	11	in	in	ADP
cana-1059	215	12	recommendation	recommendation	NOUN
cana-1059	215	13	system	system	NOUN
cana-1059	215	14	tasks	task	NOUN
cana-1059	215	15	.	.	PUNCT
cana-1059	216	1	additionally	additionally	ADV
cana-1059	216	2	,	,	PUNCT
cana-1059	216	3	an	an	DET
cana-1059	216	4	analysis	analysis	NOUN
cana-1059	216	5	of	of	ADP
cana-1059	216	6	the	the	DET
cana-1059	216	7	mse	mse	PROPN
cana-1059	216	8	values	value	NOUN
cana-1059	216	9	over	over	ADP
cana-1059	216	10	training	training	NOUN
cana-1059	216	11	epochs	epoch	NOUN
cana-1059	216	12	(	(	PUNCT
cana-1059	216	13	100	100	NUM
cana-1059	216	14	to	to	PART
cana-1059	216	15	500	500	NUM
cana-1059	216	16	)	)	PUNCT
cana-1059	216	17	for	for	ADP
cana-1059	216	18	arnn	arnn	NOUN
cana-1059	216	19	reveals	reveal	VERB
cana-1059	216	20	a	a	DET
cana-1059	216	21	consistent	consistent	ADJ
cana-1059	216	22	improvement	improvement	NOUN
cana-1059	216	23	in	in	ADP
cana-1059	216	24	prediction	prediction	NOUN
cana-1059	216	25	accuracy	accuracy	NOUN
cana-1059	216	26	as	as	ADP
cana-1059	216	27	training	training	NOUN
cana-1059	216	28	progresses	progress	NOUN
cana-1059	216	29	as	as	SCONJ
cana-1059	216	30	shown	show	VERB
cana-1059	216	31	in	in	ADP
cana-1059	216	32	table	table	NOUN
cana-1059	216	33	2	2	NUM
cana-1059	216	34	.	.	PUNCT
cana-1059	217	1	across	across	ADP
cana-1059	217	2	various	various	ADJ
cana-1059	217	3	time	time	NOUN
cana-1059	217	4	points	point	NOUN
cana-1059	217	5	(	(	PUNCT
cana-1059	217	6	50	50	NUM
cana-1059	217	7	,	,	PUNCT
cana-1059	217	8	60	60	NUM
cana-1059	217	9	,	,	PUNCT
cana-1059	217	10	70	70	NUM
cana-1059	217	11	,	,	PUNCT
cana-1059	217	12	80	80	NUM
cana-1059	217	13	,	,	PUNCT
cana-1059	217	14	90	90	NUM
cana-1059	217	15	)	)	PUNCT
cana-1059	217	16	,	,	PUNCT
cana-1059	217	17	the	the	DET
cana-1059	217	18	mse	mse	PROPN
cana-1059	217	19	values	value	NOUN
cana-1059	217	20	consistently	consistently	ADV
cana-1059	217	21	decrease	decrease	VERB
cana-1059	217	22	,	,	PUNCT
cana-1059	217	23	indicating	indicate	VERB
cana-1059	217	24	the	the	DET
cana-1059	217	25	algorithm	algorithm	NOUN
cana-1059	217	26	’s	’s	PART
cana-1059	217	27	ability	ability	NOUN
cana-1059	217	28	to	to	PART
cana-1059	217	29	refine	refine	VERB
cana-1059	217	30	its	its	PRON
cana-1059	217	31	predictions	prediction	NOUN
cana-1059	217	32	and	and	CCONJ
cana-1059	217	33	learn	learn	VERB
cana-1059	217	34	underlying	underlie	VERB
cana-1059	217	35	patterns	pattern	NOUN
cana-1059	217	36	in	in	ADP
cana-1059	217	37	user	user	NOUN
cana-1059	217	38	-	-	PUNCT
cana-1059	217	39	item	item	NOUN
cana-1059	217	40	interactions	interaction	NOUN
cana-1059	217	41	over	over	ADP
cana-1059	217	42	communications	communication	NOUN
cana-1059	217	43	on	on	ADP
cana-1059	217	44	applied	apply	VERB
cana-1059	217	45	nonlinear	nonlinear	ADJ
cana-1059	217	46	analysis	analysis	NOUN
cana-1059	217	47	issn	issn	NOUN
cana-1059	217	48	:	:	PUNCT
cana-1059	217	49	1074	1074	NUM
cana-1059	217	50	-	-	PUNCT
cana-1059	217	51	133x	133x	NUM
cana-1059	217	52	vol	vol	NOUN
cana-1059	217	53	31	31	NUM
cana-1059	217	54	no	no	NOUN
cana-1059	217	55	.	.	PUNCT
cana-1059	218	1	5s	5s	NUM
cana-1059	218	2	(	(	PUNCT
cana-1059	218	3	2024	2024	NUM
cana-1059	218	4	)	)	PUNCT
cana-1059	218	5	406	406	NUM
cana-1059	218	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	218	7	time	time	NOUN
cana-1059	218	8	.	.	PUNCT
cana-1059	219	1	by	by	ADP
cana-1059	219	2	epoch	epoch	PROPN
cana-1059	219	3	500	500	NUM
cana-1059	219	4	,	,	PUNCT
cana-1059	219	5	arnn	arnn	VERB
cana-1059	219	6	achieves	achieve	VERB
cana-1059	219	7	its	its	PRON
cana-1059	219	8	peak	peak	NOUN
cana-1059	219	9	performance	performance	NOUN
cana-1059	219	10	with	with	ADP
cana-1059	219	11	significantly	significantly	ADV
cana-1059	219	12	reduced	reduce	VERB
cana-1059	219	13	mse	mse	NOUN
cana-1059	219	14	values	value	NOUN
cana-1059	219	15	,	,	PUNCT
cana-1059	219	16	showcasing	showcase	VERB
cana-1059	219	17	an	an	DET
cana-1059	219	18	average	average	ADJ
cana-1059	219	19	improvement	improvement	NOUN
cana-1059	219	20	of	of	ADP
cana-1059	219	21	approximately	approximately	ADV
cana-1059	219	22	84.2	84.2	NUM
cana-1059	219	23	%	%	NOUN
cana-1059	219	24	compared	compare	VERB
cana-1059	219	25	to	to	ADP
cana-1059	219	26	epoch	epoch	PROPN
cana-1059	219	27	100	100	NUM
cana-1059	219	28	,	,	PUNCT
cana-1059	219	29	highlighting	highlight	VERB
cana-1059	219	30	the	the	DET
cana-1059	219	31	effectiveness	effectiveness	NOUN
cana-1059	219	32	of	of	ADP
cana-1059	219	33	extended	extended	ADJ
cana-1059	219	34	training	training	NOUN
cana-1059	219	35	in	in	ADP
cana-1059	219	36	enhancing	enhance	VERB
cana-1059	219	37	recommendation	recommendation	NOUN
cana-1059	219	38	algorithm	algorithm	NOUN
cana-1059	219	39	performance	performance	NOUN
cana-1059	219	40	.	.	PUNCT
cana-1059	220	1	table	table	NOUN
cana-1059	220	2	3	3	NUM
cana-1059	220	3	:	:	PUNCT
cana-1059	220	4	mse	mse	NOUN
cana-1059	220	5	results	result	NOUN
cana-1059	220	6	from	from	ADP
cana-1059	220	7	k	k	ADJ
cana-1059	220	8	-	-	ADJ
cana-1059	220	9	fold	fold	ADJ
cana-1059	220	10	analysis	analysis	NOUN
cana-1059	220	11	for	for	ADP
cana-1059	220	12	each	each	DET
cana-1059	220	13	algorithm	algorithm	NOUN
cana-1059	220	14	across	across	ADP
cana-1059	220	15	different	different	ADJ
cana-1059	220	16	folds	fold	NOUN
cana-1059	220	17	.	.	PUNCT
cana-1059	221	1	these	these	DET
cana-1059	221	2	findings	finding	NOUN
cana-1059	221	3	collectively	collectively	ADV
cana-1059	221	4	position	position	NOUN
cana-1059	221	5	arnn	arnn	VERB
cana-1059	221	6	as	as	ADP
cana-1059	221	7	a	a	DET
cana-1059	221	8	robust	robust	ADJ
cana-1059	221	9	and	and	CCONJ
cana-1059	221	10	effective	effective	ADJ
cana-1059	221	11	algorithm	algorithm	NOUN
cana-1059	221	12	for	for	ADP
cana-1059	221	13	addressing	address	VERB
cana-1059	221	14	challenges	challenge	NOUN
cana-1059	221	15	in	in	ADP
cana-1059	221	16	user	user	NOUN
cana-1059	221	17	-	-	PUNCT
cana-1059	221	18	item	item	NOUN
cana-1059	221	19	rating	rating	NOUN
cana-1059	221	20	prediction	prediction	NOUN
cana-1059	221	21	tasks	task	NOUN
cana-1059	221	22	within	within	ADP
cana-1059	221	23	recommendation	recommendation	NOUN
cana-1059	221	24	systems	system	NOUN
cana-1059	221	25	,	,	PUNCT
cana-1059	221	26	offering	offer	VERB
cana-1059	221	27	valuable	valuable	ADJ
cana-1059	221	28	insights	insight	NOUN
cana-1059	221	29	for	for	ADP
cana-1059	221	30	practical	practical	ADJ
cana-1059	221	31	deployment	deployment	NOUN
cana-1059	221	32	in	in	ADP
cana-1059	221	33	real	real	ADJ
cana-1059	221	34	-	-	PUNCT
cana-1059	221	35	world	world	NOUN
cana-1059	221	36	scenarios	scenario	NOUN
cana-1059	221	37	.	.	PUNCT
cana-1059	222	1	to	to	PART
cana-1059	222	2	further	far	ADV
cana-1059	222	3	assess	assess	VERB
cana-1059	222	4	algorithm	algorithm	NOUN
cana-1059	222	5	performance	performance	NOUN
cana-1059	222	6	and	and	CCONJ
cana-1059	222	7	generalization	generalization	NOUN
cana-1059	222	8	we	we	PRON
cana-1059	222	9	conducted	conduct	VERB
cana-1059	222	10	a	a	DET
cana-1059	222	11	k	k	NOUN
cana-1059	222	12	-	-	ADJ
cana-1059	222	13	fold	fold	ADJ
cana-1059	222	14	(	(	PUNCT
cana-1059	222	15	kf	kf	NOUN
cana-1059	222	16	)	)	PUNCT
cana-1059	222	17	crossvalidation	crossvalidation	NOUN
cana-1059	222	18	analysis	analysis	NOUN
cana-1059	222	19	,	,	PUNCT
cana-1059	222	20	allowing	allow	VERB
cana-1059	222	21	for	for	ADP
cana-1059	222	22	a	a	DET
cana-1059	222	23	comprehensive	comprehensive	ADJ
cana-1059	222	24	evaluation	evaluation	NOUN
cana-1059	222	25	across	across	ADP
cana-1059	222	26	multiple	multiple	ADJ
cana-1059	222	27	validation	validation	NOUN
cana-1059	222	28	sets	set	NOUN
cana-1059	222	29	.	.	PUNCT
cana-1059	223	1	table	table	NOUN
cana-1059	223	2	3	3	NUM
cana-1059	223	3	presents	present	VERB
cana-1059	223	4	the	the	DET
cana-1059	223	5	mean	mean	ADJ
cana-1059	223	6	squared	square	VERB
cana-1059	223	7	error	error	NOUN
cana-1059	223	8	(	(	PUNCT
cana-1059	223	9	mse	mse	NOUN
cana-1059	223	10	)	)	PUNCT
cana-1059	223	11	results	result	NOUN
cana-1059	223	12	obtained	obtain	VERB
cana-1059	223	13	from	from	ADP
cana-1059	223	14	k	k	ADJ
cana-1059	223	15	-	-	ADJ
cana-1059	223	16	fold	fold	ADJ
cana-1059	223	17	analysis	analysis	NOUN
cana-1059	223	18	across	across	ADP
cana-1059	223	19	different	different	ADJ
cana-1059	223	20	folds	fold	NOUN
cana-1059	223	21	(	(	PUNCT
cana-1059	223	22	6	6	NUM
cana-1059	223	23	to	to	PART
cana-1059	223	24	10	10	NUM
cana-1059	223	25	)	)	PUNCT
cana-1059	223	26	for	for	ADP
cana-1059	223	27	algorithms	algorithms	NOUN
cana-1059	223	28	including	include	VERB
cana-1059	223	29	bilstm	bilstm	NOUN
cana-1059	223	30	,	,	PUNCT
cana-1059	223	31	user	user	NOUN
cana-1059	223	32	model	model	NOUN
cana-1059	223	33	,	,	PUNCT
cana-1059	223	34	item	item	NOUN
cana-1059	223	35	model	model	NOUN
cana-1059	223	36	,	,	PUNCT
cana-1059	223	37	a3ncf3	a3ncf3	PROPN
cana-1059	223	38	,	,	PUNCT
cana-1059	223	39	and	and	CCONJ
cana-1059	223	40	arnn	arnn	VERB
cana-1059	223	41	.	.	PUNCT
cana-1059	224	1	notably	notably	ADV
cana-1059	224	2	,	,	PUNCT
cana-1059	224	3	arnn	arnn	AUX
cana-1059	224	4	consistently	consistently	ADV
cana-1059	224	5	demonstrated	demonstrate	VERB
cana-1059	224	6	competitive	competitive	ADJ
cana-1059	224	7	mse	mse	NOUN
cana-1059	224	8	values	value	NOUN
cana-1059	224	9	across	across	ADP
cana-1059	224	10	all	all	DET
cana-1059	224	11	folds	fold	NOUN
cana-1059	224	12	,	,	PUNCT
cana-1059	224	13	indicating	indicate	VERB
cana-1059	224	14	its	its	PRON
cana-1059	224	15	robustness	robustness	NOUN
cana-1059	224	16	and	and	CCONJ
cana-1059	224	17	reliability	reliability	NOUN
cana-1059	224	18	in	in	ADP
cana-1059	224	19	diverse	diverse	ADJ
cana-1059	224	20	recommendation	recommendation	NOUN
cana-1059	224	21	scenarios	scenario	NOUN
cana-1059	224	22	.	.	PUNCT
cana-1059	225	1	for	for	ADP
cana-1059	225	2	instance	instance	NOUN
cana-1059	225	3	,	,	PUNCT
cana-1059	225	4	arnn	arnn	VERB
cana-1059	225	5	achieved	achieve	VERB
cana-1059	225	6	the	the	DET
cana-1059	225	7	lowest	low	ADJ
cana-1059	225	8	mse	mse	NOUN
cana-1059	225	9	in	in	ADP
cana-1059	225	10	each	each	DET
cana-1059	225	11	fold	fold	NOUN
cana-1059	225	12	compared	compare	VERB
cana-1059	225	13	to	to	ADP
cana-1059	225	14	other	other	ADJ
cana-1059	225	15	algorithms	algorithm	NOUN
cana-1059	225	16	,	,	PUNCT
cana-1059	225	17	underscoring	underscore	VERB
cana-1059	225	18	its	its	PRON
cana-1059	225	19	effectiveness	effectiveness	NOUN
cana-1059	225	20	in	in	ADP
cana-1059	225	21	predicting	predict	VERB
cana-1059	225	22	user	user	NOUN
cana-1059	225	23	-	-	PUNCT
cana-1059	225	24	item	item	NOUN
cana-1059	225	25	interactions	interaction	NOUN
cana-1059	225	26	under	under	ADP
cana-1059	225	27	varied	varied	ADJ
cana-1059	225	28	validation	validation	NOUN
cana-1059	225	29	sets	set	NOUN
cana-1059	225	30	.	.	PUNCT
cana-1059	226	1	to	to	PART
cana-1059	226	2	quantify	quantify	VERB
cana-1059	226	3	the	the	DET
cana-1059	226	4	performance	performance	NOUN
cana-1059	226	5	improvement	improvement	NOUN
cana-1059	226	6	of	of	ADP
cana-1059	226	7	arnn	arnn	NOUN
cana-1059	226	8	over	over	ADP
cana-1059	226	9	baseline	baseline	ADJ
cana-1059	226	10	algorithms	algorithm	NOUN
cana-1059	226	11	,	,	PUNCT
cana-1059	226	12	we	we	PRON
cana-1059	226	13	calculated	calculate	VERB
cana-1059	226	14	the	the	DET
cana-1059	226	15	percentage	percentage	NOUN
cana-1059	226	16	reduction	reduction	NOUN
cana-1059	226	17	in	in	ADP
cana-1059	226	18	mse	mse	NOUN
cana-1059	226	19	compared	compare	VERB
cana-1059	226	20	to	to	ADP
cana-1059	226	21	each	each	DET
cana-1059	226	22	algorithm	algorithm	NOUN
cana-1059	226	23	for	for	ADP
cana-1059	226	24	the	the	DET
cana-1059	226	25	final	final	ADJ
cana-1059	226	26	fold	fold	NOUN
cana-1059	226	27	(	(	PUNCT
cana-1059	226	28	fold	fold	NOUN
cana-1059	226	29	10	10	NUM
cana-1059	226	30	)	)	PUNCT
cana-1059	226	31	.	.	PUNCT
cana-1059	227	1	the	the	DET
cana-1059	227	2	results	result	NOUN
cana-1059	227	3	revealed	reveal	VERB
cana-1059	227	4	substantial	substantial	ADJ
cana-1059	227	5	improvement	improvement	NOUN
cana-1059	227	6	percentages	percentage	NOUN
cana-1059	227	7	:	:	PUNCT
cana-1059	227	8	arnn	arnn	VERB
cana-1059	227	9	achieved	achieve	VERB
cana-1059	227	10	a	a	DET
cana-1059	227	11	remarkable	remarkable	ADJ
cana-1059	227	12	90.7	90.7	NUM
cana-1059	227	13	%	%	NOUN
cana-1059	227	14	improvement	improvement	NOUN
cana-1059	227	15	over	over	ADP
cana-1059	227	16	bilstm	bilstm	NOUN
cana-1059	227	17	,	,	PUNCT
cana-1059	227	18	89.9	89.9	NUM
cana-1059	227	19	%	%	NOUN
cana-1059	227	20	improvement	improvement	NOUN
cana-1059	227	21	over	over	ADP
cana-1059	227	22	user	user	NOUN
cana-1059	227	23	model	model	NOUN
cana-1059	227	24	,	,	PUNCT
cana-1059	227	25	90.1	90.1	NUM
cana-1059	227	26	%	%	NOUN
cana-1059	227	27	improvement	improvement	NOUN
cana-1059	227	28	over	over	ADP
cana-1059	227	29	item	item	NOUN
cana-1059	227	30	model	model	NOUN
cana-1059	227	31	,	,	PUNCT
cana-1059	227	32	and	and	CCONJ
cana-1059	227	33	an	an	DET
cana-1059	227	34	impressive	impressive	ADJ
cana-1059	227	35	99.9	99.9	NUM
cana-1059	227	36	%	%	NOUN
cana-1059	227	37	improvement	improvement	NOUN
cana-1059	227	38	over	over	ADP
cana-1059	227	39	a3ncf3	a3ncf3	PROPN
cana-1059	227	40	.	.	PUNCT
cana-1059	228	1	these	these	DET
cana-1059	228	2	findings	finding	NOUN
cana-1059	228	3	highlight	highlight	VERB
cana-1059	228	4	the	the	DET
cana-1059	228	5	significant	significant	ADJ
cana-1059	228	6	performance	performance	NOUN
cana-1059	228	7	gains	gain	NOUN
cana-1059	228	8	achieved	achieve	VERB
cana-1059	228	9	by	by	ADP
cana-1059	228	10	arnn	arnn	NOUN
cana-1059	228	11	in	in	ADP
cana-1059	228	12	comparison	comparison	NOUN
cana-1059	228	13	to	to	PART
cana-1059	228	14	baseline	baseline	VERB
cana-1059	228	15	algorithms	algorithm	NOUN
cana-1059	228	16	across	across	ADP
cana-1059	228	17	different	different	ADJ
cana-1059	228	18	folds	fold	NOUN
cana-1059	228	19	,	,	PUNCT
cana-1059	228	20	emphasizing	emphasize	VERB
cana-1059	228	21	its	its	PRON
cana-1059	228	22	efficacy	efficacy	NOUN
cana-1059	228	23	and	and	CCONJ
cana-1059	228	24	superiority	superiority	NOUN
cana-1059	228	25	in	in	ADP
cana-1059	228	26	recommendation	recommendation	NOUN
cana-1059	228	27	system	system	NOUN
cana-1059	228	28	tasks	task	NOUN
cana-1059	228	29	.	.	PUNCT
cana-1059	229	1	from	from	ADP
cana-1059	229	2	the	the	DET
cana-1059	229	3	experimental	experimental	ADJ
cana-1059	229	4	result	result	NOUN
cana-1059	229	5	shown	show	VERB
cana-1059	229	6	in	in	ADP
cana-1059	229	7	the	the	DET
cana-1059	229	8	figure	figure	NOUN
cana-1059	229	9	2	2	NUM
cana-1059	229	10	,	,	PUNCT
cana-1059	229	11	the	the	DET
cana-1059	229	12	k	k	ADJ
cana-1059	229	13	-	-	ADJ
cana-1059	229	14	fold	fold	ADJ
cana-1059	229	15	analysis	analysis	NOUN
cana-1059	229	16	reaffirms	reaffirm	VERB
cana-1059	229	17	the	the	DET
cana-1059	229	18	superior	superior	ADJ
cana-1059	229	19	performance	performance	NOUN
cana-1059	229	20	and	and	CCONJ
cana-1059	229	21	generalization	generalization	NOUN
cana-1059	229	22	capability	capability	NOUN
cana-1059	229	23	of	of	ADP
cana-1059	229	24	arnn	arnn	NOUN
cana-1059	229	25	in	in	ADP
cana-1059	229	26	diverse	diverse	ADJ
cana-1059	229	27	recommendation	recommendation	NOUN
cana-1059	229	28	scenarios	scenario	NOUN
cana-1059	229	29	.	.	PUNCT
cana-1059	230	1	by	by	ADP
cana-1059	230	2	evaluating	evaluate	VERB
cana-1059	230	3	algorithm	algorithm	NOUN
cana-1059	230	4	performance	performance	NOUN
cana-1059	230	5	across	across	ADP
cana-1059	230	6	multiple	multiple	ADJ
cana-1059	230	7	validation	validation	NOUN
cana-1059	230	8	sets	set	NOUN
cana-1059	230	9	,	,	PUNCT
cana-1059	230	10	our	our	PRON
cana-1059	230	11	study	study	NOUN
cana-1059	230	12	provides	provide	VERB
cana-1059	230	13	valuable	valuable	ADJ
cana-1059	230	14	insights	insight	NOUN
cana-1059	230	15	into	into	ADP
cana-1059	230	16	the	the	DET
cana-1059	230	17	robustness	robustness	NOUN
cana-1059	230	18	and	and	CCONJ
cana-1059	230	19	reliability	reliability	NOUN
cana-1059	230	20	of	of	ADP
cana-1059	230	21	recommendation	recommendation	NOUN
cana-1059	230	22	algorithms	algorithm	NOUN
cana-1059	230	23	.	.	PUNCT
cana-1059	231	1	these	these	DET
cana-1059	231	2	findings	finding	NOUN
cana-1059	231	3	contribute	contribute	VERB
cana-1059	231	4	to	to	ADP
cana-1059	231	5	the	the	DET
cana-1059	231	6	advancement	advancement	NOUN
cana-1059	231	7	of	of	ADP
cana-1059	231	8	recommendation	recommendation	NOUN
cana-1059	231	9	systems	system	NOUN
cana-1059	231	10	and	and	CCONJ
cana-1059	231	11	personalized	personalized	ADJ
cana-1059	231	12	content	content	NOUN
cana-1059	231	13	delivery	delivery	NOUN
cana-1059	231	14	,	,	PUNCT
cana-1059	231	15	emphasizing	emphasize	VERB
cana-1059	231	16	the	the	DET
cana-1059	231	17	effectiveness	effectiveness	NOUN
cana-1059	231	18	of	of	ADP
cana-1059	231	19	arnn	arnn	NOUN
cana-1059	231	20	as	as	ADP
cana-1059	231	21	a	a	DET
cana-1059	231	22	promising	promising	ADJ
cana-1059	231	23	algorithm	algorithm	NOUN
cana-1059	231	24	for	for	ADP
cana-1059	231	25	user	user	NOUN
cana-1059	231	26	-	-	PUNCT
cana-1059	231	27	item	item	NOUN
cana-1059	231	28	rating	rating	NOUN
cana-1059	231	29	prediction	prediction	NOUN
cana-1059	231	30	tasks	task	NOUN
cana-1059	231	31	.	.	PUNCT
cana-1059	232	1	figure	figure	NOUN
cana-1059	232	2	2	2	NUM
cana-1059	232	3	:	:	PUNCT
cana-1059	232	4	mse	mse	NOUN
cana-1059	232	5	performance	performance	NOUN
cana-1059	232	6	trends	trend	NOUN
cana-1059	232	7	across	across	ADP
cana-1059	232	8	folds	fold	NOUN
cana-1059	232	9	for	for	ADP
cana-1059	232	10	recommendation	recommendation	NOUN
cana-1059	232	11	algorithms	algorithm	NOUN
cana-1059	232	12	.	.	PUNCT
cana-1059	233	1	communications	communication	NOUN
cana-1059	233	2	on	on	ADP
cana-1059	233	3	applied	apply	VERB
cana-1059	233	4	nonlinear	nonlinear	ADJ
cana-1059	233	5	analysis	analysis	NOUN
cana-1059	233	6	issn	issn	NOUN
cana-1059	233	7	:	:	PUNCT
cana-1059	233	8	1074	1074	NUM
cana-1059	233	9	-	-	PUNCT
cana-1059	233	10	133x	133x	NUM
cana-1059	233	11	vol	vol	NOUN
cana-1059	233	12	31	31	NUM
cana-1059	233	13	no	no	NOUN
cana-1059	233	14	.	.	PUNCT
cana-1059	234	1	5s	5s	NUM
cana-1059	234	2	(	(	PUNCT
cana-1059	234	3	2024	2024	NUM
cana-1059	234	4	)	)	PUNCT
cana-1059	234	5	407	407	NUM
cana-1059	235	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	235	2	root	root	NOUN
cana-1059	235	3	mean	mean	VERB
cana-1059	235	4	squared	square	VERB
cana-1059	235	5	error	error	NOUN
cana-1059	235	6	(	(	PUNCT
cana-1059	235	7	rmse	rmse	NOUN
cana-1059	235	8	)	)	PUNCT
cana-1059	235	9	complements	complement	VERB
cana-1059	235	10	mse	mse	NOUN
cana-1059	235	11	analysis	analysis	NOUN
cana-1059	235	12	by	by	ADP
cana-1059	235	13	providing	provide	VERB
cana-1059	235	14	insights	insight	NOUN
cana-1059	235	15	into	into	ADP
cana-1059	235	16	the	the	DET
cana-1059	235	17	prediction	prediction	NOUN
cana-1059	235	18	accuracy	accuracy	NOUN
cana-1059	235	19	of	of	ADP
cana-1059	235	20	recommendation	recommendation	NOUN
cana-1059	235	21	algorithms	algorithm	NOUN
cana-1059	235	22	.	.	PUNCT
cana-1059	236	1	while	while	SCONJ
cana-1059	236	2	mse	mse	NOUN
cana-1059	236	3	quantifies	quantifie	NOUN
cana-1059	236	4	the	the	DET
cana-1059	236	5	average	average	ADJ
cana-1059	236	6	squared	square	VERB
cana-1059	236	7	errors	error	NOUN
cana-1059	236	8	of	of	ADP
cana-1059	236	9	predictions	prediction	NOUN
cana-1059	236	10	,	,	PUNCT
cana-1059	236	11	rmse	rmse	NOUN
cana-1059	236	12	represents	represent	VERB
cana-1059	236	13	the	the	DET
cana-1059	236	14	standard	standard	ADJ
cana-1059	236	15	deviation	deviation	NOUN
cana-1059	236	16	of	of	ADP
cana-1059	236	17	these	these	DET
cana-1059	236	18	errors	error	NOUN
cana-1059	236	19	in	in	ADP
cana-1059	236	20	the	the	DET
cana-1059	236	21	original	original	ADJ
cana-1059	236	22	scale	scale	NOUN
cana-1059	236	23	of	of	ADP
cana-1059	236	24	ratings	rating	NOUN
cana-1059	236	25	,	,	PUNCT
cana-1059	236	26	offering	offer	VERB
cana-1059	236	27	a	a	DET
cana-1059	236	28	practical	practical	ADJ
cana-1059	236	29	measure	measure	NOUN
cana-1059	236	30	of	of	ADP
cana-1059	236	31	prediction	prediction	NOUN
cana-1059	236	32	performance	performance	NOUN
cana-1059	236	33	and	and	CCONJ
cana-1059	236	34	variability	variability	NOUN
cana-1059	236	35	.	.	PUNCT
cana-1059	237	1	in	in	ADP
cana-1059	237	2	our	our	PRON
cana-1059	237	3	study	study	NOUN
cana-1059	237	4	,	,	PUNCT
cana-1059	237	5	we	we	PRON
cana-1059	237	6	also	also	ADV
cana-1059	237	7	conducted	conduct	VERB
cana-1059	237	8	a	a	DET
cana-1059	237	9	comprehensive	comprehensive	ADJ
cana-1059	237	10	analysis	analysis	NOUN
cana-1059	237	11	of	of	ADP
cana-1059	237	12	recommendation	recommendation	NOUN
cana-1059	237	13	algorithms	algorithm	NOUN
cana-1059	237	14	using	use	VERB
cana-1059	237	15	rmse	rmse	NOUN
cana-1059	237	16	as	as	ADP
cana-1059	237	17	a	a	DET
cana-1059	237	18	metric	metric	NOUN
cana-1059	237	19	during	during	ADP
cana-1059	237	20	the	the	DET
cana-1059	237	21	testing	testing	NOUN
cana-1059	237	22	phase	phase	NOUN
cana-1059	237	23	.	.	PUNCT
cana-1059	238	1	table	table	NOUN
cana-1059	238	2	4	4	NUM
cana-1059	238	3	showcases	showcase	VERB
cana-1059	238	4	the	the	DET
cana-1059	238	5	rmse	rmse	ADJ
cana-1059	238	6	values	value	NOUN
cana-1059	238	7	obtained	obtain	VERB
cana-1059	238	8	for	for	ADP
cana-1059	238	9	different	different	ADJ
cana-1059	238	10	algorithms	algorithm	NOUN
cana-1059	238	11	(	(	PUNCT
cana-1059	238	12	bilstm	bilstm	NOUN
cana-1059	238	13	,	,	PUNCT
cana-1059	238	14	user	user	NOUN
cana-1059	238	15	model	model	NOUN
cana-1059	238	16	,	,	PUNCT
cana-1059	238	17	item	item	NOUN
cana-1059	238	18	model	model	NOUN
cana-1059	238	19	,	,	PUNCT
cana-1059	238	20	a3ncf3	a3ncf3	PROPN
cana-1059	238	21	,	,	PUNCT
cana-1059	238	22	arnn	arnn	VERB
cana-1059	238	23	)	)	PUNCT
cana-1059	238	24	at	at	ADP
cana-1059	238	25	various	various	ADJ
cana-1059	238	26	evaluation	evaluation	NOUN
cana-1059	238	27	time	time	NOUN
cana-1059	238	28	points	point	NOUN
cana-1059	238	29	(	(	PUNCT
cana-1059	238	30	50	50	NUM
cana-1059	238	31	,	,	PUNCT
cana-1059	238	32	60	60	NUM
cana-1059	238	33	,	,	PUNCT
cana-1059	238	34	70	70	NUM
cana-1059	238	35	,	,	PUNCT
cana-1059	238	36	80	80	NUM
cana-1059	238	37	,	,	PUNCT
cana-1059	238	38	90	90	NUM
cana-1059	238	39	)	)	PUNCT
cana-1059	238	40	.	.	PUNCT
cana-1059	239	1	among	among	ADP
cana-1059	239	2	these	these	DET
cana-1059	239	3	algorithms	algorithm	NOUN
cana-1059	239	4	,	,	PUNCT
cana-1059	239	5	arnn	arnn	AUX
cana-1059	239	6	consistently	consistently	ADV
cana-1059	239	7	exhibited	exhibit	VERB
cana-1059	239	8	the	the	DET
cana-1059	239	9	lowest	low	ADJ
cana-1059	239	10	rmse	rmse	NOUN
cana-1059	239	11	values	value	NOUN
cana-1059	239	12	across	across	ADP
cana-1059	239	13	all	all	DET
cana-1059	239	14	time	time	NOUN
cana-1059	239	15	points	point	NOUN
cana-1059	239	16	,	,	PUNCT
cana-1059	239	17	indicating	indicate	VERB
cana-1059	239	18	its	its	PRON
cana-1059	239	19	superior	superior	ADJ
cana-1059	239	20	accuracy	accuracy	NOUN
cana-1059	239	21	in	in	ADP
cana-1059	239	22	predicting	predict	VERB
cana-1059	239	23	user	user	NOUN
cana-1059	239	24	-	-	PUNCT
cana-1059	239	25	item	item	NOUN
cana-1059	239	26	ratings	rating	NOUN
cana-1059	239	27	during	during	ADP
cana-1059	239	28	the	the	DET
cana-1059	239	29	testing	testing	NOUN
cana-1059	239	30	phase	phase	NOUN
cana-1059	239	31	.	.	PUNCT
cana-1059	240	1	for	for	ADP
cana-1059	240	2	instance	instance	NOUN
cana-1059	240	3	,	,	PUNCT
cana-1059	240	4	at	at	ADP
cana-1059	240	5	time	time	NOUN
cana-1059	240	6	point	point	NOUN
cana-1059	240	7	90	90	NUM
cana-1059	240	8	,	,	PUNCT
cana-1059	240	9	arnn	arnn	VERB
cana-1059	240	10	achieved	achieve	VERB
cana-1059	240	11	an	an	DET
cana-1059	240	12	rmse	rmse	NOUN
cana-1059	240	13	of	of	ADP
cana-1059	240	14	1.1489401	1.1489401	NUM
cana-1059	240	15	,	,	PUNCT
cana-1059	240	16	outperforming	outperform	VERB
cana-1059	240	17	other	other	ADJ
cana-1059	240	18	models	model	NOUN
cana-1059	240	19	significantly	significantly	ADV
cana-1059	240	20	.	.	PUNCT
cana-1059	241	1	to	to	PART
cana-1059	241	2	quantify	quantify	VERB
cana-1059	241	3	the	the	DET
cana-1059	241	4	performance	performance	NOUN
cana-1059	241	5	advantage	advantage	NOUN
cana-1059	241	6	of	of	ADP
cana-1059	241	7	arnn	arnn	NOUN
cana-1059	241	8	,	,	PUNCT
cana-1059	241	9	we	we	PRON
cana-1059	241	10	calculated	calculate	VERB
cana-1059	241	11	the	the	DET
cana-1059	241	12	percentage	percentage	NOUN
cana-1059	241	13	reduction	reduction	NOUN
cana-1059	241	14	in	in	ADP
cana-1059	241	15	rmse	rmse	NOUN
cana-1059	241	16	compared	compare	VERB
cana-1059	241	17	to	to	ADP
cana-1059	241	18	each	each	DET
cana-1059	241	19	algorithm	algorithm	NOUN
cana-1059	241	20	for	for	ADP
cana-1059	241	21	the	the	DET
cana-1059	241	22	final	final	ADJ
cana-1059	241	23	time	time	NOUN
cana-1059	241	24	point	point	NOUN
cana-1059	241	25	90	90	NUM
cana-1059	241	26	.	.	PUNCT
cana-1059	242	1	arnn	arnn	NOUN
cana-1059	242	2	demonstrated	demonstrate	VERB
cana-1059	242	3	notable	notable	ADJ
cana-1059	242	4	improvements	improvement	NOUN
cana-1059	242	5	over	over	ADP
cana-1059	242	6	bilstm-24.0	bilstm-24.0	NOUN
cana-1059	242	7	%	%	NOUN
cana-1059	242	8	improvement	improvement	NOUN
cana-1059	242	9	,	,	PUNCT
cana-1059	242	10	user	user	NOUN
cana-1059	242	11	model-1.3	model-1.3	NOUN
cana-1059	242	12	%	%	NOUN
cana-1059	242	13	improvement	improvement	NOUN
cana-1059	242	14	,	,	PUNCT
cana-1059	242	15	item	item	NOUN
cana-1059	242	16	model	model	NOUN
cana-1059	242	17	1.4	1.4	NUM
cana-1059	242	18	%	%	NOUN
cana-1059	242	19	improvement	improvement	NOUN
cana-1059	242	20	,	,	PUNCT
cana-1059	242	21	and	and	CCONJ
cana-1059	242	22	a3ncf3	a3ncf3	NOUN
cana-1059	242	23	-	-	PUNCT
cana-1059	242	24	0.4	0.4	NUM
cana-1059	242	25	%	%	NOUN
cana-1059	242	26	improvement	improvement	NOUN
cana-1059	242	27	.	.	PUNCT
cana-1059	243	1	these	these	DET
cana-1059	243	2	findings	finding	NOUN
cana-1059	243	3	underscore	underscore	VERB
cana-1059	243	4	the	the	DET
cana-1059	243	5	effectiveness	effectiveness	NOUN
cana-1059	243	6	of	of	ADP
cana-1059	243	7	arnn	arnn	NOUN
cana-1059	243	8	in	in	ADP
cana-1059	243	9	user	user	NOUN
cana-1059	243	10	-	-	PUNCT
cana-1059	243	11	item	item	NOUN
cana-1059	243	12	rating	rating	NOUN
cana-1059	243	13	prediction	prediction	NOUN
cana-1059	243	14	tasks	task	NOUN
cana-1059	243	15	and	and	CCONJ
cana-1059	243	16	highlight	highlight	VERB
cana-1059	243	17	its	its	PRON
cana-1059	243	18	superiority	superiority	NOUN
cana-1059	243	19	over	over	ADP
cana-1059	243	20	baseline	baseline	NOUN
cana-1059	243	21	models	model	NOUN
cana-1059	243	22	.	.	PUNCT
cana-1059	244	1	table	table	NOUN
cana-1059	244	2	5	5	NUM
cana-1059	244	3	shows	show	VERB
cana-1059	244	4	the	the	DET
cana-1059	244	5	rmse	rmse	ADJ
cana-1059	244	6	values	value	NOUN
cana-1059	244	7	for	for	ADP
cana-1059	244	8	the	the	DET
cana-1059	244	9	arnn	arnn	PROPN
cana-1059	244	10	algorithm	algorithm	NOUN
cana-1059	244	11	at	at	ADP
cana-1059	244	12	different	different	ADJ
cana-1059	244	13	epochs	epoch	NOUN
cana-1059	244	14	(	(	PUNCT
cana-1059	244	15	100	100	NUM
cana-1059	244	16	,	,	PUNCT
cana-1059	244	17	200	200	NUM
cana-1059	244	18	,	,	PUNCT
cana-1059	244	19	300	300	NUM
cana-1059	244	20	,	,	PUNCT
cana-1059	244	21	400	400	NUM
cana-1059	244	22	,	,	PUNCT
cana-1059	244	23	500	500	NUM
cana-1059	244	24	)	)	PUNCT
cana-1059	244	25	during	during	ADP
cana-1059	244	26	the	the	DET
cana-1059	244	27	testing	testing	NOUN
cana-1059	244	28	phase	phase	NOUN
cana-1059	244	29	analysis	analysis	NOUN
cana-1059	244	30	.	.	PUNCT
cana-1059	245	1	each	each	DET
cana-1059	245	2	row	row	NOUN
cana-1059	245	3	represents	represent	VERB
cana-1059	245	4	a	a	DET
cana-1059	245	5	specific	specific	ADJ
cana-1059	245	6	evaluation	evaluation	NOUN
cana-1059	245	7	time	time	NOUN
cana-1059	245	8	point	point	NOUN
cana-1059	245	9	(	(	PUNCT
cana-1059	245	10	50	50	NUM
cana-1059	245	11	,	,	PUNCT
cana-1059	245	12	60	60	NUM
cana-1059	245	13	,	,	PUNCT
cana-1059	245	14	70	70	NUM
cana-1059	245	15	,	,	PUNCT
cana-1059	245	16	80	80	NUM
cana-1059	245	17	,	,	PUNCT
cana-1059	245	18	90	90	NUM
cana-1059	245	19	)	)	PUNCT
cana-1059	245	20	,	,	PUNCT
cana-1059	245	21	and	and	CCONJ
cana-1059	245	22	each	each	DET
cana-1059	245	23	column	column	NOUN
cana-1059	245	24	corresponds	correspond	VERB
cana-1059	245	25	to	to	ADP
cana-1059	245	26	an	an	DET
cana-1059	245	27	epoch	epoch	NOUN
cana-1059	245	28	of	of	ADP
cana-1059	245	29	the	the	DET
cana-1059	245	30	arnn	arnn	PROPN
cana-1059	245	31	model	model	NOUN
cana-1059	245	32	.	.	PUNCT
cana-1059	246	1	we	we	PRON
cana-1059	246	2	observed	observe	VERB
cana-1059	246	3	a	a	DET
cana-1059	246	4	consistent	consistent	ADJ
cana-1059	246	5	decrease	decrease	NOUN
cana-1059	246	6	in	in	ADP
cana-1059	246	7	rmse	rmse	ADJ
cana-1059	246	8	values	value	NOUN
cana-1059	246	9	as	as	SCONJ
cana-1059	246	10	the	the	DET
cana-1059	246	11	number	number	NOUN
cana-1059	246	12	of	of	ADP
cana-1059	246	13	training	training	NOUN
cana-1059	246	14	epochs	epoch	NOUN
cana-1059	246	15	increased	increase	VERB
cana-1059	246	16	,	,	PUNCT
cana-1059	246	17	indicating	indicate	VERB
cana-1059	246	18	continuous	continuous	ADJ
cana-1059	246	19	improvement	improvement	NOUN
cana-1059	246	20	in	in	ADP
cana-1059	246	21	prediction	prediction	NOUN
cana-1059	246	22	accuracy	accuracy	NOUN
cana-1059	246	23	.	.	PUNCT
cana-1059	247	1	at	at	ADP
cana-1059	247	2	the	the	DET
cana-1059	247	3	final	final	ADJ
cana-1059	247	4	evaluation	evaluation	NOUN
cana-1059	247	5	time	time	NOUN
cana-1059	247	6	point	point	NOUN
cana-1059	247	7	90	90	NUM
cana-1059	247	8	,	,	PUNCT
cana-1059	247	9	arnn	arnn	VERB
cana-1059	247	10	achieved	achieve	VERB
cana-1059	247	11	an	an	DET
cana-1059	247	12	rmse	rmse	NOUN
cana-1059	247	13	of	of	ADP
cana-1059	247	14	1.1489401	1.1489401	NUM
cana-1059	247	15	at	at	ADP
cana-1059	247	16	table	table	NOUN
cana-1059	247	17	4	4	NUM
cana-1059	247	18	:	:	PUNCT
cana-1059	247	19	comparison	comparison	NOUN
cana-1059	247	20	of	of	ADP
cana-1059	247	21	rmse	rmse	ADJ
cana-1059	247	22	result	result	NOUN
cana-1059	247	23	for	for	ADP
cana-1059	247	24	recommendation	recommendation	NOUN
cana-1059	247	25	algorithms	algorithm	NOUN
cana-1059	247	26	during	during	ADP
cana-1059	247	27	testing	testing	NOUN
cana-1059	247	28	phase	phase	NOUN
cana-1059	247	29	.	.	PUNCT
cana-1059	248	1	table	table	NOUN
cana-1059	248	2	5	5	NUM
cana-1059	248	3	:	:	PUNCT
cana-1059	248	4	rmse	rmse	ADJ
cana-1059	248	5	trends	trend	NOUN
cana-1059	248	6	over	over	ADP
cana-1059	248	7	training	training	NOUN
cana-1059	248	8	epochs	epoch	NOUN
cana-1059	248	9	for	for	ADP
cana-1059	248	10	arnn	arnn	NOUN
cana-1059	248	11	.	.	PUNCT
cana-1059	249	1	epoch	epoch	PROPN
cana-1059	249	2	500	500	NUM
cana-1059	249	3	,	,	PUNCT
cana-1059	249	4	representing	represent	VERB
cana-1059	249	5	a	a	DET
cana-1059	249	6	substantial	substantial	ADJ
cana-1059	249	7	improvement	improvement	NOUN
cana-1059	249	8	from	from	ADP
cana-1059	249	9	3.3211935	3.3211935	NUM
cana-1059	249	10	at	at	ADP
cana-1059	249	11	epoch	epoch	PROPN
cana-1059	249	12	100	100	NUM
cana-1059	249	13	.	.	PUNCT
cana-1059	250	1	the	the	DET
cana-1059	250	2	percentage	percentage	NOUN
cana-1059	250	3	improvements	improvement	NOUN
cana-1059	250	4	in	in	ADP
cana-1059	250	5	rmse	rmse	ADJ
cana-1059	250	6	values	value	NOUN
cana-1059	250	7	were	be	AUX
cana-1059	250	8	calculated	calculate	VERB
cana-1059	250	9	to	to	PART
cana-1059	250	10	quantify	quantify	VERB
cana-1059	250	11	the	the	DET
cana-1059	250	12	performance	performance	NOUN
cana-1059	250	13	gain	gain	NOUN
cana-1059	250	14	over	over	ADP
cana-1059	250	15	epochs	epoch	NOUN
cana-1059	250	16	,	,	PUNCT
cana-1059	250	17	revealing	reveal	VERB
cana-1059	250	18	significant	significant	ADJ
cana-1059	250	19	enhancements	enhancement	NOUN
cana-1059	250	20	in	in	ADP
cana-1059	250	21	prediction	prediction	NOUN
cana-1059	250	22	accuracy	accuracy	NOUN
cana-1059	250	23	i.e.	i.e.	X
cana-1059	250	24	68.9	68.9	NUM
cana-1059	250	25	%	%	NOUN
cana-1059	250	26	improvement	improvement	NOUN
cana-1059	250	27	at	at	ADP
cana-1059	250	28	epoch	epoch	NOUN
cana-1059	250	29	500	500	NUM
cana-1059	250	30	compared	compare	VERB
cana-1059	250	31	to	to	ADP
cana-1059	250	32	epoch	epoch	PROPN
cana-1059	250	33	100	100	NUM
cana-1059	250	34	.	.	PUNCT
cana-1059	251	1	these	these	DET
cana-1059	251	2	results	result	NOUN
cana-1059	251	3	highlight	highlight	VERB
cana-1059	251	4	the	the	DET
cana-1059	251	5	importance	importance	NOUN
cana-1059	251	6	of	of	ADP
cana-1059	251	7	extended	extended	ADJ
cana-1059	251	8	model	model	NOUN
cana-1059	251	9	training	training	NOUN
cana-1059	251	10	in	in	ADP
cana-1059	251	11	optimizing	optimize	VERB
cana-1059	251	12	arnn	arnn	NOUN
cana-1059	251	13	for	for	ADP
cana-1059	251	14	user	user	NOUN
cana-1059	251	15	-	-	PUNCT
cana-1059	251	16	item	item	NOUN
cana-1059	251	17	rating	rating	NOUN
cana-1059	251	18	prediction	prediction	NOUN
cana-1059	251	19	tasks	task	NOUN
cana-1059	251	20	and	and	CCONJ
cana-1059	251	21	emphasize	emphasize	VERB
cana-1059	251	22	the	the	DET
cana-1059	251	23	impact	impact	NOUN
cana-1059	251	24	of	of	ADP
cana-1059	251	25	training	training	NOUN
cana-1059	251	26	epochs	epoch	NOUN
cana-1059	251	27	on	on	ADP
cana-1059	251	28	recommendation	recommendation	NOUN
cana-1059	251	29	algorithm	algorithm	NOUN
cana-1059	251	30	performance	performance	NOUN
cana-1059	251	31	during	during	ADP
cana-1059	251	32	the	the	DET
cana-1059	251	33	testing	testing	NOUN
cana-1059	251	34	phase	phase	NOUN
cana-1059	251	35	.	.	PUNCT
cana-1059	252	1	communications	communication	NOUN
cana-1059	252	2	on	on	ADP
cana-1059	252	3	applied	apply	VERB
cana-1059	252	4	nonlinear	nonlinear	ADJ
cana-1059	252	5	analysis	analysis	NOUN
cana-1059	252	6	issn	issn	NOUN
cana-1059	252	7	:	:	PUNCT
cana-1059	252	8	1074	1074	NUM
cana-1059	252	9	-	-	PUNCT
cana-1059	252	10	133x	133x	NUM
cana-1059	252	11	vol	vol	NOUN
cana-1059	252	12	31	31	NUM
cana-1059	252	13	no	no	NOUN
cana-1059	252	14	.	.	PUNCT
cana-1059	253	1	5s	5s	NUM
cana-1059	253	2	(	(	PUNCT
cana-1059	253	3	2024	2024	NUM
cana-1059	253	4	)	)	PUNCT
cana-1059	253	5	408	408	NUM
cana-1059	253	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	253	7	table	table	NOUN
cana-1059	253	8	6	6	NUM
cana-1059	253	9	:	:	PUNCT
cana-1059	253	10	rmse	rmse	NOUN
cana-1059	253	11	results	result	NOUN
cana-1059	253	12	for	for	ADP
cana-1059	253	13	k	k	ADJ
cana-1059	253	14	-	-	ADJ
cana-1059	253	15	fold	fold	ADJ
cana-1059	253	16	analysis	analysis	NOUN
cana-1059	253	17	for	for	ADP
cana-1059	253	18	each	each	DET
cana-1059	253	19	algorithm	algorithm	NOUN
cana-1059	253	20	across	across	ADP
cana-1059	253	21	different	different	ADJ
cana-1059	253	22	folds	fold	NOUN
cana-1059	253	23	.	.	PUNCT
cana-1059	254	1	figure	figure	NOUN
cana-1059	254	2	3	3	NUM
cana-1059	254	3	:	:	PUNCT
cana-1059	254	4	rmse	rmse	ADJ
cana-1059	254	5	performance	performance	NOUN
cana-1059	254	6	trends	trend	NOUN
cana-1059	254	7	across	across	ADP
cana-1059	254	8	folds	fold	NOUN
cana-1059	254	9	for	for	ADP
cana-1059	254	10	recommendation	recommendation	NOUN
cana-1059	254	11	algorithms	algorithm	NOUN
cana-1059	254	12	.	.	PUNCT
cana-1059	255	1	in	in	ADP
cana-1059	255	2	our	our	PRON
cana-1059	255	3	study	study	NOUN
cana-1059	255	4	,	,	PUNCT
cana-1059	255	5	we	we	PRON
cana-1059	255	6	also	also	ADV
cana-1059	255	7	conducted	conduct	VERB
cana-1059	255	8	a	a	DET
cana-1059	255	9	comprehensive	comprehensive	ADJ
cana-1059	255	10	evaluation	evaluation	NOUN
cana-1059	255	11	of	of	ADP
cana-1059	255	12	recommendation	recommendation	NOUN
cana-1059	255	13	algorithms	algorithm	NOUN
cana-1059	255	14	using	use	VERB
cana-1059	255	15	rmse	rmse	NOUN
cana-1059	255	16	as	as	ADP
cana-1059	255	17	a	a	DET
cana-1059	255	18	metric	metric	NOUN
cana-1059	255	19	across	across	ADP
cana-1059	255	20	multiple	multiple	ADJ
cana-1059	255	21	folds	fold	NOUN
cana-1059	255	22	(	(	PUNCT
cana-1059	255	23	6	6	NUM
cana-1059	255	24	,	,	PUNCT
cana-1059	255	25	7,8	7,8	NUM
cana-1059	255	26	,	,	PUNCT
cana-1059	255	27	9	9	NUM
cana-1059	255	28	,	,	PUNCT
cana-1059	255	29	10	10	NUM
cana-1059	255	30	)	)	PUNCT
cana-1059	255	31	in	in	ADP
cana-1059	255	32	the	the	DET
cana-1059	255	33	kf	kf	PROPN
cana-1059	255	34	analysis	analysis	NOUN
cana-1059	255	35	.	.	PUNCT
cana-1059	256	1	table	table	NOUN
cana-1059	256	2	6	6	NUM
cana-1059	256	3	highlights	highlight	NOUN
cana-1059	256	4	the	the	DET
cana-1059	256	5	performance	performance	NOUN
cana-1059	256	6	of	of	ADP
cana-1059	256	7	various	various	ADJ
cana-1059	256	8	algorithms	algorithm	NOUN
cana-1059	256	9	in	in	ADP
cana-1059	256	10	predicting	predict	VERB
cana-1059	256	11	user	user	NOUN
cana-1059	256	12	-	-	PUNCT
cana-1059	256	13	item	item	NOUN
cana-1059	256	14	ratings	rating	NOUN
cana-1059	256	15	.	.	PUNCT
cana-1059	257	1	notably	notably	ADV
cana-1059	257	2	,	,	PUNCT
cana-1059	257	3	arnn	arnn	AUX
cana-1059	257	4	consistently	consistently	ADV
cana-1059	257	5	demonstrated	demonstrate	VERB
cana-1059	257	6	competitive	competitive	ADJ
cana-1059	257	7	performance	performance	NOUN
cana-1059	257	8	across	across	ADP
cana-1059	257	9	different	different	ADJ
cana-1059	257	10	folds	fold	NOUN
cana-1059	257	11	,	,	PUNCT
cana-1059	257	12	with	with	ADP
cana-1059	257	13	rmse	rmse	ADJ
cana-1059	257	14	values	value	NOUN
cana-1059	257	15	ranging	range	VERB
cana-1059	257	16	from	from	ADP
cana-1059	257	17	approximately	approximately	ADV
cana-1059	257	18	1.147	1.147	NUM
cana-1059	257	19	to	to	ADP
cana-1059	257	20	1.697	1.697	NUM
cana-1059	257	21	.	.	PUNCT
cana-1059	258	1	arnn	arnn	AUX
cana-1059	258	2	consistently	consistently	ADV
cana-1059	258	3	outperformed	outperform	VERB
cana-1059	258	4	other	other	ADJ
cana-1059	258	5	algorithms	algorithm	NOUN
cana-1059	258	6	,	,	PUNCT
cana-1059	258	7	including	include	VERB
cana-1059	258	8	bilstm	bilstm	NOUN
cana-1059	258	9	,	,	PUNCT
cana-1059	258	10	user	user	NOUN
cana-1059	258	11	model	model	NOUN
cana-1059	258	12	,	,	PUNCT
cana-1059	258	13	item	item	NOUN
cana-1059	258	14	model	model	NOUN
cana-1059	258	15	,	,	PUNCT
cana-1059	258	16	and	and	CCONJ
cana-1059	258	17	a3ncf3	a3ncf3	PROPN
cana-1059	258	18	,	,	PUNCT
cana-1059	258	19	in	in	ADP
cana-1059	258	20	most	most	ADJ
cana-1059	258	21	folds	fold	NOUN
cana-1059	258	22	,	,	PUNCT
cana-1059	258	23	indicating	indicate	VERB
cana-1059	258	24	its	its	PRON
cana-1059	258	25	effectiveness	effectiveness	NOUN
cana-1059	258	26	in	in	ADP
cana-1059	258	27	diverse	diverse	ADJ
cana-1059	258	28	dataset	dataset	NOUN
cana-1059	258	29	partitions	partition	NOUN
cana-1059	258	30	.	.	PUNCT
cana-1059	259	1	for	for	ADP
cana-1059	259	2	instance	instance	NOUN
cana-1059	259	3	,	,	PUNCT
cana-1059	259	4	in	in	ADP
cana-1059	259	5	folds	fold	NOUN
cana-1059	259	6	9	9	NUM
cana-1059	259	7	and	and	CCONJ
cana-1059	259	8	10	10	NUM
cana-1059	259	9	,	,	PUNCT
cana-1059	259	10	arnn	arnn	VERB
cana-1059	259	11	achieved	achieve	VERB
cana-1059	259	12	rmse	rmse	ADJ
cana-1059	259	13	values	value	NOUN
cana-1059	259	14	close	close	ADV
cana-1059	259	15	to	to	ADP
cana-1059	259	16	1.14	1.14	NUM
cana-1059	259	17	,	,	PUNCT
cana-1059	259	18	showcasing	showcase	VERB
cana-1059	259	19	its	its	PRON
cana-1059	259	20	robustness	robustness	NOUN
cana-1059	259	21	and	and	CCONJ
cana-1059	259	22	consistency	consistency	NOUN
cana-1059	259	23	in	in	ADP
cana-1059	259	24	predicting	predict	VERB
cana-1059	259	25	useritem	useritem	ADJ
cana-1059	259	26	ratings	rating	NOUN
cana-1059	259	27	across	across	ADP
cana-1059	259	28	varied	varied	ADJ
cana-1059	259	29	dataset	dataset	NOUN
cana-1059	259	30	splits	split	NOUN
cana-1059	259	31	.	.	PUNCT
cana-1059	260	1	from	from	ADP
cana-1059	260	2	figure	figure	NOUN
cana-1059	260	3	3	3	NUM
cana-1059	260	4	we	we	PRON
cana-1059	260	5	can	can	AUX
cana-1059	260	6	analyse	analyse	VERB
cana-1059	260	7	the	the	DET
cana-1059	260	8	percentage	percentage	NOUN
cana-1059	260	9	improvements	improvement	NOUN
cana-1059	260	10	of	of	ADP
cana-1059	260	11	arnn	arnn	NOUN
cana-1059	260	12	over	over	ADP
cana-1059	260	13	baseline	baseline	NOUN
cana-1059	260	14	models	model	NOUN
cana-1059	260	15	were	be	AUX
cana-1059	260	16	substantial	substantial	ADJ
cana-1059	260	17	,	,	PUNCT
cana-1059	260	18	with	with	ADP
cana-1059	260	19	reductions	reduction	NOUN
cana-1059	260	20	in	in	ADP
cana-1059	260	21	rmse	rmse	NOUN
cana-1059	260	22	ranging	range	VERB
cana-1059	260	23	from	from	ADP
cana-1059	260	24	7.0	7.0	NUM
cana-1059	260	25	%	%	NOUN
cana-1059	260	26	to	to	ADP
cana-1059	260	27	38.6	38.6	NUM
cana-1059	260	28	%	%	NOUN
cana-1059	260	29	across	across	ADP
cana-1059	260	30	different	different	ADJ
cana-1059	260	31	folds	fold	NOUN
cana-1059	260	32	.	.	PUNCT
cana-1059	261	1	these	these	DET
cana-1059	261	2	findings	finding	NOUN
cana-1059	261	3	underscore	underscore	VERB
cana-1059	261	4	the	the	DET
cana-1059	261	5	potential	potential	NOUN
cana-1059	261	6	of	of	ADP
cana-1059	261	7	arnn	arnn	NOUN
cana-1059	261	8	in	in	ADP
cana-1059	261	9	enhancing	enhance	VERB
cana-1059	261	10	recommendation	recommendation	NOUN
cana-1059	261	11	system	system	NOUN
cana-1059	261	12	performance	performance	NOUN
cana-1059	261	13	and	and	CCONJ
cana-1059	261	14	highlight	highlight	VERB
cana-1059	261	15	its	its	PRON
cana-1059	261	16	superiority	superiority	NOUN
cana-1059	261	17	over	over	ADP
cana-1059	261	18	baseline	baseline	NOUN
cana-1059	261	19	models	model	NOUN
cana-1059	261	20	in	in	ADP
cana-1059	261	21	user	user	NOUN
cana-1059	261	22	-	-	PUNCT
cana-1059	261	23	item	item	NOUN
cana-1059	261	24	rating	rating	NOUN
cana-1059	261	25	prediction	prediction	NOUN
cana-1059	261	26	tasks	task	NOUN
cana-1059	261	27	across	across	ADP
cana-1059	261	28	different	different	ADJ
cana-1059	261	29	dataset	dataset	NOUN
cana-1059	261	30	partitions	partition	NOUN
cana-1059	261	31	.	.	PUNCT
cana-1059	262	1	5	5	X
cana-1059	262	2	.	.	X
cana-1059	262	3	conclusion	conclusion	NOUN
cana-1059	262	4	this	this	DET
cana-1059	262	5	paper	paper	NOUN
cana-1059	262	6	presented	present	VERB
cana-1059	262	7	the	the	DET
cana-1059	262	8	attentive	attentive	ADJ
cana-1059	262	9	recurrent	recurrent	ADJ
cana-1059	262	10	recommender	recommender	NOUN
cana-1059	262	11	network	network	NOUN
cana-1059	262	12	(	(	PUNCT
cana-1059	262	13	arrn	arrn	PROPN
cana-1059	262	14	)	)	PUNCT
cana-1059	262	15	,	,	PUNCT
cana-1059	262	16	a	a	DET
cana-1059	262	17	novel	novel	ADJ
cana-1059	262	18	approach	approach	NOUN
cana-1059	262	19	that	that	PRON
cana-1059	262	20	tackles	tackle	VERB
cana-1059	262	21	the	the	DET
cana-1059	262	22	challenge	challenge	NOUN
cana-1059	262	23	of	of	ADP
cana-1059	262	24	incorporating	incorporate	VERB
cana-1059	262	25	demographic	demographic	ADJ
cana-1059	262	26	information	information	NOUN
cana-1059	262	27	into	into	ADP
cana-1059	262	28	recommendation	recommendation	NOUN
cana-1059	262	29	systems	system	NOUN
cana-1059	262	30	.	.	PUNCT
cana-1059	263	1	arrn	arrn	ADJ
cana-1059	263	2	addresses	address	NOUN
cana-1059	263	3	the	the	DET
cana-1059	263	4	need	need	NOUN
cana-1059	263	5	for	for	ADP
cana-1059	263	6	personalization	personalization	NOUN
cana-1059	263	7	in	in	ADP
cana-1059	263	8	age	age	NOUN
cana-1059	263	9	-	-	PUNCT
cana-1059	263	10	sensitive	sensitive	ADJ
cana-1059	263	11	product	product	NOUN
cana-1059	263	12	domains	domain	NOUN
cana-1059	263	13	by	by	ADP
cana-1059	263	14	leveraging	leverage	VERB
cana-1059	263	15	user	user	NOUN
cana-1059	263	16	item	item	NOUN
cana-1059	263	17	interactions	interaction	NOUN
cana-1059	263	18	and	and	CCONJ
cana-1059	263	19	age	age	NOUN
cana-1059	263	20	data	datum	NOUN
cana-1059	263	21	from	from	ADP
cana-1059	263	22	the	the	DET
cana-1059	263	23	dataset	dataset	NOUN
cana-1059	263	24	.	.	PUNCT
cana-1059	264	1	the	the	DET
cana-1059	264	2	key	key	ADJ
cana-1059	264	3	strength	strength	NOUN
cana-1059	264	4	of	of	ADP
cana-1059	264	5	arrn	arrn	ADJ
cana-1059	264	6	lies	lie	NOUN
cana-1059	264	7	in	in	ADP
cana-1059	264	8	its	its	PRON
cana-1059	264	9	ability	ability	NOUN
cana-1059	264	10	to	to	PART
cana-1059	264	11	capture	capture	VERB
cana-1059	264	12	agerelated	agerelate	VERB
cana-1059	264	13	preferences	preference	NOUN
cana-1059	264	14	and	and	CCONJ
cana-1059	264	15	behaviours	behaviour	NOUN
cana-1059	264	16	through	through	ADP
cana-1059	264	17	embedding	embed	VERB
cana-1059	264	18	techniques	technique	NOUN
cana-1059	264	19	and	and	CCONJ
cana-1059	264	20	semantic	semantic	ADJ
cana-1059	264	21	analysis	analysis	NOUN
cana-1059	264	22	.	.	PUNCT
cana-1059	265	1	this	this	DET
cana-1059	265	2	empowers	empower	NOUN
cana-1059	265	3	arrn	arrn	VERB
cana-1059	265	4	to	to	PART
cana-1059	265	5	dynamically	dynamically	ADV
cana-1059	265	6	adapt	adapt	VERB
cana-1059	265	7	recommendations	recommendation	NOUN
cana-1059	265	8	for	for	ADP
cana-1059	265	9	users	user	NOUN
cana-1059	265	10	with	with	ADP
cana-1059	265	11	limited	limited	ADJ
cana-1059	265	12	interaction	interaction	NOUN
cana-1059	265	13	history	history	NOUN
cana-1059	265	14	,	,	PUNCT
cana-1059	265	15	effectively	effectively	ADV
cana-1059	265	16	mitigating	mitigate	VERB
cana-1059	265	17	the	the	DET
cana-1059	265	18	cold	cold	ADJ
cana-1059	265	19	-	-	PUNCT
cana-1059	265	20	start	start	NOUN
cana-1059	265	21	problem	problem	NOUN
cana-1059	265	22	.	.	PUNCT
cana-1059	266	1	our	our	PRON
cana-1059	266	2	comprehensive	comprehensive	ADJ
cana-1059	266	3	evaluation	evaluation	NOUN
cana-1059	266	4	compared	compare	VERB
cana-1059	266	5	arrn	arrn	ADP
cana-1059	266	6	’s	’s	PART
cana-1059	266	7	performance	performance	NOUN
cana-1059	266	8	to	to	ADP
cana-1059	266	9	existing	exist	VERB
cana-1059	266	10	state	state	NOUN
cana-1059	266	11	-	-	PUNCT
cana-1059	266	12	of	of	ADP
cana-1059	266	13	-	-	PUNCT
cana-1059	266	14	the	the	DET
cana-1059	266	15	-	-	PUNCT
cana-1059	266	16	art	art	NOUN
cana-1059	266	17	recommendation	recommendation	NOUN
cana-1059	266	18	algorithms	algorithm	NOUN
cana-1059	266	19	.	.	PUNCT
cana-1059	267	1	the	the	DET
cana-1059	267	2	results	result	NOUN
cana-1059	267	3	convincingly	convincingly	ADV
cana-1059	267	4	demonstrate	demonstrate	VERB
cana-1059	267	5	that	that	SCONJ
cana-1059	267	6	arrn	arrn	ADV
cana-1059	267	7	outperforms	outperform	VERB
cana-1059	267	8	existing	exist	VERB
cana-1059	267	9	approaches	approach	NOUN
cana-1059	267	10	,	,	PUNCT
cana-1059	267	11	particularly	particularly	ADV
cana-1059	267	12	for	for	ADP
cana-1059	267	13	users	user	NOUN
cana-1059	267	14	with	with	ADP
cana-1059	267	15	sparse	sparse	ADJ
cana-1059	267	16	interaction	interaction	NOUN
cana-1059	267	17	data	datum	NOUN
cana-1059	267	18	.	.	PUNCT
cana-1059	268	1	this	this	DET
cana-1059	268	2	signifies	signifie	NOUN
cana-1059	268	3	arrn	arrn	PROPN
cana-1059	268	4	’s	’s	PART
cana-1059	268	5	efficacy	efficacy	NOUN
cana-1059	268	6	in	in	ADP
cana-1059	268	7	ad	ad	NOUN
cana-1059	268	8	dressing	dress	VERB
cana-1059	268	9	the	the	DET
cana-1059	268	10	cold	cold	ADJ
cana-1059	268	11	-	-	PUNCT
cana-1059	268	12	start	start	NOUN
cana-1059	268	13	problem	problem	NOUN
cana-1059	268	14	and	and	CCONJ
cana-1059	268	15	enhancing	enhance	VERB
cana-1059	268	16	the	the	DET
cana-1059	268	17	accuracy	accuracy	NOUN
cana-1059	268	18	and	and	CCONJ
cana-1059	268	19	relevance	relevance	NOUN
cana-1059	268	20	of	of	ADP
cana-1059	268	21	recommendations	recommendation	NOUN
cana-1059	268	22	in	in	ADP
cana-1059	268	23	agesensitive	agesensitive	ADJ
cana-1059	268	24	domains	domain	NOUN
cana-1059	268	25	.	.	PUNCT
cana-1059	269	1	communications	communication	NOUN
cana-1059	269	2	on	on	ADP
cana-1059	269	3	applied	apply	VERB
cana-1059	269	4	nonlinear	nonlinear	ADJ
cana-1059	269	5	analysis	analysis	NOUN
cana-1059	269	6	issn	issn	NOUN
cana-1059	269	7	:	:	PUNCT
cana-1059	269	8	1074	1074	NUM
cana-1059	269	9	-	-	PUNCT
cana-1059	269	10	133x	133x	NUM
cana-1059	269	11	vol	vol	NOUN
cana-1059	269	12	31	31	NUM
cana-1059	269	13	no	no	NOUN
cana-1059	269	14	.	.	PUNCT
cana-1059	270	1	5s	5s	NUM
cana-1059	270	2	(	(	PUNCT
cana-1059	270	3	2024	2024	NUM
cana-1059	270	4	)	)	PUNCT
cana-1059	270	5	409	409	NUM
cana-1059	270	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	270	7	in	in	ADP
cana-1059	270	8	conclusion	conclusion	NOUN
cana-1059	270	9	,	,	PUNCT
cana-1059	270	10	arrn	arrn	PROPN
cana-1059	270	11	presents	present	VERB
cana-1059	270	12	a	a	DET
cana-1059	270	13	promising	promising	ADJ
cana-1059	270	14	solution	solution	NOUN
cana-1059	270	15	for	for	ADP
cana-1059	270	16	recommendation	recommendation	NOUN
cana-1059	270	17	systems	system	NOUN
cana-1059	270	18	that	that	PRON
cana-1059	270	19	require	require	VERB
cana-1059	270	20	consideration	consideration	NOUN
cana-1059	270	21	of	of	ADP
cana-1059	270	22	user	user	NOUN
cana-1059	270	23	demographics	demographic	NOUN
cana-1059	270	24	.	.	PUNCT
cana-1059	271	1	by	by	ADP
cana-1059	271	2	incorporating	incorporate	VERB
cana-1059	271	3	user	user	NOUN
cana-1059	271	4	age	age	NOUN
cana-1059	271	5	and	and	CCONJ
cana-1059	271	6	dynamically	dynamically	ADV
cana-1059	271	7	adapting	adapt	VERB
cana-1059	271	8	recommendations	recommendation	NOUN
cana-1059	271	9	,	,	PUNCT
cana-1059	271	10	arrn	arrn	ADJ
cana-1059	271	11	fosters	foster	NOUN
cana-1059	271	12	improved	improve	VERB
cana-1059	271	13	user	user	NOUN
cana-1059	271	14	engagement	engagement	NOUN
cana-1059	271	15	and	and	CCONJ
cana-1059	271	16	satisfaction	satisfaction	NOUN
cana-1059	271	17	,	,	PUNCT
cana-1059	271	18	particularly	particularly	ADV
cana-1059	271	19	within	within	ADP
cana-1059	271	20	agecentric	agecentric	ADJ
cana-1059	271	21	product	product	NOUN
cana-1059	271	22	domains	domain	NOUN
cana-1059	271	23	.	.	PUNCT
cana-1059	272	1	future	future	ADJ
cana-1059	272	2	research	research	NOUN
cana-1059	272	3	directions	direction	NOUN
cana-1059	272	4	include	include	VERB
cana-1059	272	5	exploring	explore	VERB
cana-1059	272	6	the	the	DET
cana-1059	272	7	integration	integration	NOUN
cana-1059	272	8	of	of	ADP
cana-1059	272	9	additional	additional	ADJ
cana-1059	272	10	demographic	demographic	ADJ
cana-1059	272	11	factors	factor	NOUN
cana-1059	272	12	and	and	CCONJ
cana-1059	272	13	investigating	investigate	VERB
cana-1059	272	14	the	the	DET
cana-1059	272	15	effectiveness	effectiveness	NOUN
cana-1059	272	16	of	of	ADP
cana-1059	272	17	arrn	arrn	ADV
cana-1059	272	18	in	in	ADP
cana-1059	272	19	other	other	ADJ
cana-1059	272	20	recommendation	recommendation	NOUN
cana-1059	272	21	scenarios	scenario	NOUN
cana-1059	272	22	beyond	beyond	ADP
cana-1059	272	23	age	age	NOUN
cana-1059	272	24	-	-	PUNCT
cana-1059	272	25	sensitive	sensitive	ADJ
cana-1059	272	26	domains	domain	NOUN
cana-1059	272	27	.	.	PUNCT
cana-1059	273	1	declarations	declaration	NOUN
cana-1059	273	2	funding	fund	VERB
cana-1059	273	3	information	information	NOUN
cana-1059	273	4	:	:	PUNCT
cana-1059	273	5	no	no	DET
cana-1059	273	6	funding	funding	NOUN
cana-1059	273	7	was	be	AUX
cana-1059	273	8	involved	involve	VERB
cana-1059	273	9	in	in	ADP
cana-1059	273	10	the	the	DET
cana-1059	273	11	present	present	ADJ
cana-1059	273	12	work	work	NOUN
cana-1059	273	13	.	.	PUNCT
cana-1059	274	1	conflicts	conflict	NOUN
cana-1059	274	2	of	of	ADP
cana-1059	274	3	interest	interest	NOUN
cana-1059	274	4	:	:	PUNCT
cana-1059	274	5	authors	author	NOUN
cana-1059	274	6	declare	declare	VERB
cana-1059	274	7	that	that	SCONJ
cana-1059	274	8	there	there	PRON
cana-1059	274	9	is	be	VERB
cana-1059	274	10	no	no	DET
cana-1059	274	11	conflict	conflict	NOUN
cana-1059	274	12	of	of	ADP
cana-1059	274	13	interest	interest	NOUN
cana-1059	274	14	.	.	PUNCT
cana-1059	275	1	code	code	NOUN
cana-1059	275	2	availability	availability	NOUN
cana-1059	275	3	:	:	PUNCT
cana-1059	275	4	the	the	DET
cana-1059	275	5	codes	code	NOUN
cana-1059	275	6	will	will	AUX
cana-1059	275	7	be	be	AUX
cana-1059	275	8	made	make	VERB
cana-1059	275	9	available	available	ADJ
cana-1059	275	10	upon	upon	SCONJ
cana-1059	275	11	reasonable	reasonable	ADJ
cana-1059	275	12	request	request	NOUN
cana-1059	275	13	to	to	ADP
cana-1059	275	14	the	the	DET
cana-1059	275	15	authors	author	NOUN
cana-1059	275	16	.	.	PUNCT
cana-1059	276	1	authors	author	NOUN
cana-1059	276	2	contributions	contribution	VERB
cana-1059	276	3	:	:	PUNCT
cana-1059	276	4	the	the	DET
cana-1059	276	5	work	work	NOUN
cana-1059	276	6	presented	present	VERB
cana-1059	276	7	in	in	ADP
cana-1059	276	8	the	the	DET
cana-1059	276	9	paper	paper	NOUN
cana-1059	276	10	was	be	AUX
cana-1059	276	11	primarily	primarily	ADV
cana-1059	276	12	done	do	VERB
cana-1059	276	13	by	by	ADP
cana-1059	276	14	first	first	ADJ
cana-1059	276	15	author	author	NOUN
cana-1059	276	16	,	,	PUNCT
cana-1059	276	17	including	include	VERB
cana-1059	276	18	conceptualization	conceptualization	NOUN
cana-1059	276	19	,	,	PUNCT
cana-1059	276	20	literature	literature	NOUN
cana-1059	276	21	reading	reading	NOUN
cana-1059	276	22	,	,	PUNCT
cana-1059	276	23	data	datum	NOUN
cana-1059	276	24	gathering	gathering	NOUN
cana-1059	276	25	,	,	PUNCT
cana-1059	276	26	coding	coding	NOUN
cana-1059	276	27	,	,	PUNCT
cana-1059	276	28	result	result	VERB
cana-1059	276	29	analysis	analysis	NOUN
cana-1059	276	30	,	,	PUNCT
cana-1059	276	31	and	and	CCONJ
cana-1059	276	32	manuscript	manuscript	NOUN
cana-1059	276	33	writing	writing	NOUN
cana-1059	276	34	.	.	PUNCT
cana-1059	277	1	a	a	DET
cana-1059	277	2	review	review	NOUN
cana-1059	277	3	was	be	AUX
cana-1059	277	4	conducted	conduct	VERB
cana-1059	277	5	by	by	ADP
cana-1059	277	6	second	second	ADJ
cana-1059	277	7	author	author	NOUN
cana-1059	277	8	,	,	PUNCT
cana-1059	277	9	and	and	CCONJ
cana-1059	277	10	visualization	visualization	NOUN
cana-1059	277	11	work	work	NOUN
cana-1059	277	12	was	be	AUX
cana-1059	277	13	carried	carry	VERB
cana-1059	277	14	out	out	ADP
cana-1059	277	15	by	by	ADP
cana-1059	277	16	both	both	DET
cana-1059	277	17	authors	author	NOUN
cana-1059	277	18	.	.	PUNCT
cana-1059	278	1	references	reference	NOUN
cana-1059	278	2	[	[	X
cana-1059	278	3	1	1	NUM
cana-1059	278	4	]	]	PUNCT
cana-1059	278	5	a.	a.	PROPN
cana-1059	278	6	d.	d.	PROPN
cana-1059	278	7	d.	d.	PROPN
cana-1059	278	8	c.	c.	PROPN
cana-1059	278	9	.	.	PUNCT
cana-1059	279	1	h.	h.	PROPN
cana-1059	279	2	n.	n.	PROPN
cana-1059	279	3	hidasi	hidasi	PROPN
cana-1059	279	4	,	,	PUNCT
cana-1059	279	5	a.	a.	NOUN
cana-1059	279	6	,	,	PUNCT
cana-1059	279	7	recommender	recommender	NOUN
cana-1059	279	8	systems	system	NOUN
cana-1059	279	9	,	,	PUNCT
cana-1059	279	10	lecture	lecture	NOUN
cana-1059	279	11	notes	note	NOUN
cana-1059	279	12	in	in	ADP
cana-1059	279	13	´	´	NOUN
cana-1059	279	14	artificial	artificial	ADJ
cana-1059	279	15	intelligence	intelligence	NOUN
cana-1059	279	16	and	and	CCONJ
cana-1059	279	17	lecture	lecture	NOUN
cana-1059	279	18	notes	note	NOUN
cana-1059	279	19	in	in	ADP
cana-1059	279	20	bioinformatics	bioinformatics	NOUN
cana-1059	279	21	(	(	PUNCT
cana-1059	279	22	2018	2018	NUM
cana-1059	279	23	)	)	PUNCT
cana-1059	279	24	5–37	5–37	NOUN
cana-1059	279	25	.	.	PUNCT
cana-1059	280	1	[	[	X
cana-1059	280	2	2	2	X
cana-1059	280	3	]	]	X
cana-1059	280	4	y.	y.	PROPN
cana-1059	280	5	f.	f.	PROPN
cana-1059	280	6	w.	w.	PROPN
cana-1059	280	7	s.	s.	PROPN
cana-1059	280	8	w.	w.	PROPN
cana-1059	280	9	l.	l.	PROPN
cana-1059	280	10	.	.	PUNCT
cana-1059	280	11	.	.	PUNCT
cana-1059	281	1	x.	x.	PROPN
cana-1059	281	2	y.	y.	PROPN
cana-1059	281	3	liu	liu	PROPN
cana-1059	281	4	,	,	PUNCT
cana-1059	281	5	q.	q.	PROPN
cana-1059	281	6	,	,	PUNCT
cana-1059	281	7	a	a	DET
cana-1059	281	8	survey	survey	NOUN
cana-1059	281	9	on	on	ADP
cana-1059	281	10	deep	deep	ADJ
cana-1059	281	11	learning	learning	NOUN
cana-1059	281	12	for	for	ADP
cana-1059	281	13	recommendation	recommendation	NOUN
cana-1059	281	14	systems	system	NOUN
cana-1059	281	15	,	,	PUNCT
cana-1059	281	16	acm	acm	PROPN
cana-1059	281	17	computing	computing	NOUN
cana-1059	281	18	surveys	survey	NOUN
cana-1059	281	19	(	(	PUNCT
cana-1059	281	20	csur	csur	NOUN
cana-1059	281	21	)	)	PUNCT
cana-1059	281	22	,	,	PUNCT
cana-1059	281	23	53(1	53(1	X
cana-1059	281	24	)	)	PUNCT
cana-1059	281	25	(	(	PUNCT
cana-1059	281	26	2020	2020	NUM
cana-1059	281	27	)	)	PUNCT
cana-1059	282	1	1–38	1–38	PROPN
cana-1059	282	2	.	.	PUNCT
cana-1059	283	1	[	[	X
cana-1059	283	2	3	3	X
cana-1059	283	3	]	]	PUNCT
cana-1059	283	4	p.	p.	NOUN
cana-1059	283	5	z.	z.	PROPN
cana-1059	283	6	zhijun	zhijun	PROPN
cana-1059	283	7	zhang	zhang	PROPN
cana-1059	283	8	,	,	PUNCT
cana-1059	283	9	gongwen	gongwen	NOUN
cana-1059	283	10	xu	xu	PROPN
cana-1059	283	11	,	,	PUNCT
cana-1059	283	12	research	research	NOUN
cana-1059	283	13	on	on	ADP
cana-1059	283	14	e	e	NOUN
cana-1059	283	15	-	-	NOUN
cana-1059	283	16	commerce	commerce	NOUN
cana-1059	283	17	platform	platform	NOUN
cana-1059	283	18	-	-	PUNCT
cana-1059	283	19	based	base	VERB
cana-1059	283	20	personalized	personalized	ADJ
cana-1059	283	21	recommendation	recommendation	NOUN
cana-1059	283	22	algorithm	algorithm	NOUN
cana-1059	283	23	,	,	PUNCT
cana-1059	283	24	applied	apply	VERB
cana-1059	283	25	computational	computational	ADJ
cana-1059	283	26	intelligence	intelligence	NOUN
cana-1059	283	27	and	and	CCONJ
cana-1059	283	28	soft	soft	ADJ
cana-1059	283	29	computing	compute	VERB
cana-1059	283	30	2016	2016	NUM
cana-1059	283	31	(	(	PUNCT
cana-1059	283	32	2016	2016	NUM
cana-1059	283	33	)	)	PUNCT
cana-1059	283	34	7	7	NUM
cana-1059	283	35	.	.	X
cana-1059	283	36	doi	doi	NOUN
cana-1059	283	37	:	:	PUNCT
cana-1059	283	38	https://doi.org/10.1155/2016/5160460	https://doi.org/10.1155/2016/5160460	PROPN
cana-1059	283	39	.	.	PUNCT
cana-1059	284	1	[	[	X
cana-1059	284	2	4	4	NUM
cana-1059	284	3	]	]	PUNCT
cana-1059	284	4	c.	c.	PROPN
cana-1059	284	5	c.	c.	PROPN
cana-1059	284	6	aggarwal	aggarwal	PROPN
cana-1059	284	7	,	,	PUNCT
cana-1059	284	8	recommender	recommender	NOUN
cana-1059	284	9	systems	system	NOUN
cana-1059	284	10	:	:	PUNCT
cana-1059	284	11	the	the	DET
cana-1059	284	12	textbook	textbook	NOUN
cana-1059	284	13	,	,	PUNCT
cana-1059	284	14	1st	1st	ADJ
cana-1059	284	15	edition	edition	NOUN
cana-1059	284	16	,	,	PUNCT
cana-1059	284	17	springer	springer	NOUN
cana-1059	284	18	publishing	publishing	NOUN
cana-1059	284	19	company	company	NOUN
cana-1059	284	20	,	,	PUNCT
cana-1059	284	21	incorporated	incorporate	VERB
cana-1059	284	22	,	,	PUNCT
cana-1059	284	23	2016	2016	NUM
cana-1059	284	24	.	.	PUNCT
cana-1059	285	1	[	[	X
cana-1059	285	2	5	5	NUM
cana-1059	285	3	]	]	X
cana-1059	285	4	n.	n.	PROPN
cana-1059	285	5	neophytou	neophytou	PROPN
cana-1059	285	6	,	,	PUNCT
cana-1059	285	7	b.	b.	PROPN
cana-1059	285	8	mitra	mitra	PROPN
cana-1059	285	9	,	,	PUNCT
cana-1059	285	10	c.	c.	PROPN
cana-1059	285	11	stinson	stinson	PROPN
cana-1059	285	12	,	,	PUNCT
cana-1059	285	13	revisiting	revisit	VERB
cana-1059	285	14	popularity	popularity	NOUN
cana-1059	285	15	and	and	CCONJ
cana-1059	285	16	demographic	demographic	ADJ
cana-1059	285	17	biases	bias	NOUN
cana-1059	285	18	in	in	ADP
cana-1059	285	19	recommender	recommender	NOUN
cana-1059	285	20	evaluation	evaluation	NOUN
cana-1059	285	21	and	and	CCONJ
cana-1059	285	22	effectiveness	effectiveness	NOUN
cana-1059	285	23	,	,	PUNCT
cana-1059	285	24	in	in	ADP
cana-1059	285	25	:	:	PUNCT
cana-1059	285	26	m.	m.	NOUN
cana-1059	285	27	hagen	hagen	PROPN
cana-1059	285	28	,	,	PUNCT
cana-1059	285	29	s.	s.	PROPN
cana-1059	285	30	verberne	verberne	PROPN
cana-1059	285	31	,	,	PUNCT
cana-1059	285	32	c.	c.	PROPN
cana-1059	285	33	macdonald	macdonald	PROPN
cana-1059	285	34	,	,	PUNCT
cana-1059	285	35	c.	c.	PROPN
cana-1059	285	36	seifert	seifert	PROPN
cana-1059	285	37	,	,	PUNCT
cana-1059	285	38	k.	k.	PROPN
cana-1059	285	39	balog	balog	PROPN
cana-1059	285	40	,	,	PUNCT
cana-1059	285	41	k.	k.	PROPN
cana-1059	285	42	nørvag	nørvag	PROPN
cana-1059	285	43	,	,	PUNCT
cana-1059	285	44	v.	v.	ADP
cana-1059	285	45	setty	setty	PROPN
cana-1059	285	46	(	(	PUNCT
cana-1059	285	47	eds	ed	NOUN
cana-1059	285	48	.	.	PUNCT
cana-1059	285	49	)	)	PUNCT
cana-1059	285	50	,	,	PUNCT
cana-1059	285	51	advances	advance	VERB
cana-1059	285	52	in	in	ADP
cana-1059	285	53	information	information	NOUN
cana-1059	285	54	retrieval	retrieval	NOUN
cana-1059	285	55	,	,	PUNCT
cana-1059	285	56	springer	springer	NOUN
cana-1059	285	57	international	international	ADJ
cana-1059	285	58	publishing	publishing	NOUN
cana-1059	285	59	,	,	PUNCT
cana-1059	285	60	cham	cham	NOUN
cana-1059	285	61	,	,	PUNCT
cana-1059	285	62	2022	2022	NUM
cana-1059	285	63	,	,	PUNCT
cana-1059	285	64	pp	pp	ADJ
cana-1059	285	65	.	.	PUNCT
cana-1059	286	1	641–654	641–654	NUM
cana-1059	286	2	.	.	PUNCT
cana-1059	287	1	[	[	X
cana-1059	287	2	6	6	NUM
cana-1059	287	3	]	]	PUNCT
cana-1059	287	4	w.	w.	PROPN
cana-1059	287	5	xu	xu	PROPN
cana-1059	287	6	,	,	PUNCT
cana-1059	287	7	q.	q.	PROPN
cana-1059	287	8	xie	xie	PROPN
cana-1059	287	9	,	,	PUNCT
cana-1059	287	10	s.	s.	PROPN
cana-1059	287	11	yang	yang	PROPN
cana-1059	287	12	,	,	PUNCT
cana-1059	287	13	j.	j.	PROPN
cana-1059	287	14	cao	cao	PROPN
cana-1059	287	15	,	,	PUNCT
cana-1059	287	16	s.	s.	PROPN
cana-1059	287	17	pang	pang	PROPN
cana-1059	287	18	,	,	PUNCT
cana-1059	287	19	enhancing	enhance	VERB
cana-1059	287	20	content	content	NOUN
cana-1059	287	21	-	-	PUNCT
cana-1059	287	22	based	base	VERB
cana-1059	287	23	recommendation	recommendation	NOUN
cana-1059	287	24	via	via	ADP
cana-1059	287	25	large	large	ADJ
cana-1059	287	26	language	language	NOUN
cana-1059	287	27	model	model	NOUN
cana-1059	287	28	(	(	PUNCT
cana-1059	287	29	2024	2024	NUM
cana-1059	287	30	)	)	PUNCT
cana-1059	287	31	.	.	PUNCT
cana-1059	288	1	arxiv:2404.00236	arxiv:2404.00236	PROPN
cana-1059	288	2	.	.	PROPN
cana-1059	289	1	url	url	PROPN
cana-1059	289	2	https://arxiv.org/abs/2404.00236	https://arxiv.org/abs/2404.00236	NOUN
cana-1059	290	1	[	[	X
cana-1059	290	2	7	7	NUM
cana-1059	290	3	]	]	X
cana-1059	290	4	a.	a.	NOUN
cana-1059	290	5	singh	singh	PROPN
cana-1059	290	6	,	,	PUNCT
cana-1059	290	7	s.	s.	PROPN
cana-1059	290	8	p.	p.	PROPN
cana-1059	290	9	gandhala	gandhala	PROPN
cana-1059	290	10	,	,	PUNCT
cana-1059	290	11	m.	m.	NOUN
cana-1059	290	12	alahmar	alahmar	PROPN
cana-1059	290	13	,	,	PUNCT
cana-1059	290	14	p.	p.	NOUN
cana-1059	290	15	gaikwad	gaikwad	NOUN
cana-1059	290	16	,	,	PUNCT
cana-1059	290	17	u.	u.	PROPN
cana-1059	290	18	wable	wable	PROPN
cana-1059	290	19	,	,	PUNCT
cana-1059	290	20	a.	a.	NOUN
cana-1059	290	21	yadav	yadav	PROPN
cana-1059	290	22	,	,	PUNCT
cana-1059	290	23	r.	r.	PROPN
cana-1059	290	24	agrawal	agrawal	PROPN
cana-1059	290	25	,	,	PUNCT
cana-1059	290	26	towards	towards	ADP
cana-1059	290	27	context	context	NOUN
cana-1059	290	28	aware	aware	ADJ
cana-1059	290	29	and	and	CCONJ
cana-1059	290	30	age	age	NOUN
cana-1059	290	31	-	-	PUNCT
cana-1059	290	32	based	base	VERB
cana-1059	290	33	book	book	NOUN
cana-1059	290	34	recommendation	recommendation	NOUN
cana-1059	290	35	system	system	NOUN
cana-1059	290	36	using	use	VERB
cana-1059	290	37	machine	machine	NOUN
cana-1059	290	38	learning	learning	NOUN
cana-1059	290	39	for	for	ADP
cana-1059	290	40	young	young	ADJ
cana-1059	290	41	readers	reader	NOUN
cana-1059	290	42	,	,	PUNCT
cana-1059	290	43	in	in	ADP
cana-1059	290	44	:	:	PUNCT
cana-1059	290	45	2024	2024	NUM
cana-1059	290	46	fourth	fourth	ADJ
cana-1059	290	47	international	international	ADJ
cana-1059	290	48	conference	conference	NOUN
cana-1059	290	49	on	on	ADP
cana-1059	290	50	advances	advance	NOUN
cana-1059	290	51	in	in	ADP
cana-1059	290	52	electrical	electrical	ADJ
cana-1059	290	53	,	,	PUNCT
cana-1059	290	54	computing	computing	NOUN
cana-1059	290	55	,	,	PUNCT
cana-1059	290	56	communication	communication	NOUN
cana-1059	290	57	and	and	CCONJ
cana-1059	290	58	sustainable	sustainable	ADJ
cana-1059	290	59	technologies	technology	NOUN
cana-1059	290	60	(	(	PUNCT
cana-1059	290	61	icaect	icaect	NOUN
cana-1059	290	62	)	)	PUNCT
cana-1059	290	63	,	,	PUNCT
cana-1059	290	64	2024	2024	NUM
cana-1059	290	65	,	,	PUNCT
cana-1059	290	66	pp	pp	ADV
cana-1059	290	67	.	.	PUNCT
cana-1059	291	1	1–7	1–7	X
cana-1059	291	2	.	.	PUNCT
cana-1059	291	3	doi:10.1109	doi:10.1109	PROPN
cana-1059	291	4	/	/	SYM
cana-1059	291	5	icaect60202.2024.10469429	icaect60202.2024.10469429	PROPN
cana-1059	291	6	.	.	PUNCT
cana-1059	292	1	[	[	X
cana-1059	292	2	8	8	X
cana-1059	292	3	]	]	X
cana-1059	292	4	h.	h.	NOUN
cana-1059	292	5	abdollahpouri	abdollahpouri	PROPN
cana-1059	292	6	,	,	PUNCT
cana-1059	292	7	popularity	popularity	NOUN
cana-1059	292	8	bias	bias	NOUN
cana-1059	292	9	in	in	ADP
cana-1059	292	10	recommendation	recommendation	NOUN
cana-1059	292	11	:	:	PUNCT
cana-1059	292	12	a	a	DET
cana-1059	292	13	multistakeholder	multistakeholder	NOUN
cana-1059	292	14	perspective	perspective	NOUN
cana-1059	292	15	(	(	PUNCT
cana-1059	292	16	2020	2020	NUM
cana-1059	292	17	)	)	PUNCT
cana-1059	292	18	.	.	PUNCT
cana-1059	293	1	arxiv:2008.08551	arxiv:2008.08551	PROPN
cana-1059	293	2	.	.	PUNCT
cana-1059	294	1	[	[	X
cana-1059	294	2	9	9	NUM
cana-1059	294	3	]	]	PUNCT
cana-1059	294	4	j.	j.	PROPN
cana-1059	294	5	k.	k.	PROPN
cana-1059	294	6	kim	kim	PROPN
cana-1059	294	7	,	,	PUNCT
cana-1059	294	8	h.	h.	PROPN
cana-1059	294	9	k.	k.	PROPN
cana-1059	294	10	kim	kim	PROPN
cana-1059	294	11	,	,	PUNCT
cana-1059	295	1	h.	h.	PROPN
cana-1059	295	2	y.	y.	PROPN
cana-1059	296	1	oh	oh	INTJ
cana-1059	296	2	,	,	PUNCT
cana-1059	296	3	y.	y.	PROPN
cana-1059	296	4	u.	u.	PROPN
cana-1059	296	5	ryu	ryu	PROPN
cana-1059	296	6	,	,	PUNCT
cana-1059	296	7	a	a	DET
cana-1059	296	8	group	group	NOUN
cana-1059	296	9	recommendation	recommendation	NOUN
cana-1059	296	10	system	system	NOUN
cana-1059	296	11	for	for	ADP
cana-1059	296	12	online	online	ADJ
cana-1059	296	13	communities	community	NOUN
cana-1059	296	14	,	,	PUNCT
cana-1059	296	15	international	international	ADJ
cana-1059	296	16	journal	journal	NOUN
cana-1059	296	17	of	of	ADP
cana-1059	296	18	information	information	NOUN
cana-1059	296	19	management	management	NOUN
cana-1059	296	20	30	30	NUM
cana-1059	296	21	(	(	PUNCT
cana-1059	296	22	3	3	NUM
cana-1059	296	23	)	)	PUNCT
cana-1059	296	24	(	(	PUNCT
cana-1059	296	25	2010	2010	NUM
cana-1059	296	26	)	)	PUNCT
cana-1059	297	1	212–219	212–219	NUM
cana-1059	297	2	.	.	PUNCT
cana-1059	298	1	doi	doi	NOUN
cana-1059	298	2	:	:	PUNCT
cana-1059	298	3	https://doi.org/10.1016	https://doi.org/10.1016	PROPN
cana-1059	298	4	/	/	SYM
cana-1059	298	5	j.ijinfomgt.2009.09.006	j.ijinfomgt.2009.09.006	PROPN
cana-1059	298	6	.	.	PUNCT
cana-1059	299	1	[	[	X
cana-1059	299	2	10	10	NUM
cana-1059	299	3	]	]	X
cana-1059	299	4	i.	i.	PROPN
cana-1059	299	5	ali	ali	PROPN
cana-1059	299	6	,	,	PUNCT
cana-1059	299	7	s.-w	s.-w	PROPN
cana-1059	299	8	.	.	PUNCT
cana-1059	300	1	kim	kim	PROPN
cana-1059	300	2	,	,	PUNCT
cana-1059	300	3	group	group	NOUN
cana-1059	300	4	recommendations	recommendation	NOUN
cana-1059	300	5	:	:	PUNCT
cana-1059	300	6	approaches	approach	NOUN
cana-1059	300	7	and	and	CCONJ
cana-1059	300	8	evaluation	evaluation	NOUN
cana-1059	300	9	,	,	PUNCT
cana-1059	300	10	in	in	ADP
cana-1059	300	11	:	:	PUNCT
cana-1059	300	12	proceedings	proceeding	NOUN
cana-1059	300	13	of	of	ADP
cana-1059	300	14	the	the	DET
cana-1059	300	15	9th	9th	ADJ
cana-1059	300	16	international	international	ADJ
cana-1059	300	17	conference	conference	NOUN
cana-1059	300	18	on	on	ADP
cana-1059	300	19	ubiquitous	ubiquitous	ADJ
cana-1059	300	20	information	information	NOUN
cana-1059	300	21	management	management	NOUN
cana-1059	300	22	and	and	CCONJ
cana-1059	300	23	communication	communication	NOUN
cana-1059	300	24	,	,	PUNCT
cana-1059	300	25	imcom	imcom	X
cana-1059	300	26	’	'	PUNCT
cana-1059	300	27	15	15	NUM
cana-1059	300	28	,	,	PUNCT
cana-1059	300	29	association	association	NOUN
cana-1059	300	30	for	for	ADP
cana-1059	300	31	computing	computing	NOUN
cana-1059	300	32	machinery	machinery	NOUN
cana-1059	300	33	,	,	PUNCT
cana-1059	300	34	new	new	PROPN
cana-1059	300	35	york	york	PROPN
cana-1059	300	36	,	,	PUNCT
cana-1059	300	37	ny	ny	PROPN
cana-1059	300	38	,	,	PUNCT
cana-1059	300	39	usa	usa	PROPN
cana-1059	300	40	,	,	PUNCT
cana-1059	300	41	2015	2015	NUM
cana-1059	300	42	.	.	PUNCT
cana-1059	301	1	doi:10.1145/2701126.2701208	doi:10.1145/2701126.2701208	NOUN
cana-1059	301	2	.	.	PUNCT
cana-1059	302	1	url	url	PROPN
cana-1059	303	1	https://doi.org/10.1145/2701126.2701208	https://doi.org/10.1145/2701126.2701208	ADJ
cana-1059	304	1	[	[	X
cana-1059	304	2	11	11	NUM
cana-1059	304	3	]	]	PUNCT
cana-1059	304	4	m.	m.	PROPN
cana-1059	304	5	b.	b.	PROPN
cana-1059	304	6	.	.	PUNCT
cana-1059	305	1	a.	a.	PROPN
cana-1059	305	2	r.	r.	PROPN
cana-1059	305	3	burke	burke	PROPN
cana-1059	305	4	,	,	PUNCT
cana-1059	305	5	m.	m.	NOUN
cana-1059	305	6	,	,	PUNCT
cana-1059	305	7	group	group	NOUN
cana-1059	305	8	recommendation	recommendation	NOUN
cana-1059	305	9	systems	system	NOUN
cana-1059	305	10	:	:	PUNCT
cana-1059	305	11	reviewing	review	VERB
cana-1059	305	12	the	the	DET
cana-1059	305	13	state	state	NOUN
cana-1059	305	14	of	of	ADP
cana-1059	305	15	the	the	DET
cana-1059	305	16	art	art	NOUN
cana-1059	305	17	and	and	CCONJ
cana-1059	305	18	future	future	ADJ
cana-1059	305	19	directions	direction	NOUN
cana-1059	305	20	,	,	PUNCT
cana-1059	305	21	user	user	NOUN
cana-1059	305	22	modeling	modeling	NOUN
cana-1059	305	23	and	and	CCONJ
cana-1059	305	24	user	user	NOUN
cana-1059	305	25	-	-	PUNCT
cana-1059	305	26	adapted	adapt	VERB
cana-1059	305	27	interaction	interaction	NOUN
cana-1059	305	28	(	(	PUNCT
cana-1059	305	29	2016	2016	NUM
cana-1059	305	30	)	)	PUNCT
cana-1059	305	31	59–111	59–111	NUM
cana-1059	305	32	.	.	PUNCT
cana-1059	306	1	[	[	X
cana-1059	306	2	12	12	NUM
cana-1059	306	3	]	]	X
cana-1059	306	4	l.	l.	PROPN
cana-1059	306	5	baltrunas	baltrunas	PROPN
cana-1059	306	6	,	,	PUNCT
cana-1059	306	7	t.	t.	PROPN
cana-1059	306	8	makcinskas	makcinskas	PROPN
cana-1059	306	9	,	,	PUNCT
cana-1059	306	10	f.	f.	PROPN
cana-1059	306	11	ricci	ricci	PROPN
cana-1059	306	12	,	,	PUNCT
cana-1059	306	13	group	group	NOUN
cana-1059	306	14	recommendations	recommendation	NOUN
cana-1059	306	15	with	with	ADP
cana-1059	306	16	rank	rank	NOUN
cana-1059	306	17	aggregation	aggregation	NOUN
cana-1059	306	18	and	and	CCONJ
cana-1059	306	19	collaborative	collaborative	ADJ
cana-1059	306	20	filtering	filtering	NOUN
cana-1059	306	21	,	,	PUNCT
cana-1059	306	22	in	in	ADP
cana-1059	306	23	:	:	PUNCT
cana-1059	306	24	proceedings	proceeding	NOUN
cana-1059	306	25	of	of	ADP
cana-1059	306	26	the	the	DET
cana-1059	306	27	fourth	fourth	PROPN
cana-1059	306	28	acm	acm	PROPN
cana-1059	306	29	conference	conference	NOUN
cana-1059	306	30	on	on	ADP
cana-1059	306	31	recommender	recommender	NOUN
cana-1059	306	32	systems	system	NOUN
cana-1059	306	33	,	,	PUNCT
cana-1059	306	34	recsys	recsy	NOUN
cana-1059	306	35	’	'	PUNCT
cana-1059	306	36	10	10	NUM
cana-1059	306	37	,	,	PUNCT
cana-1059	306	38	association	association	NOUN
cana-1059	306	39	for	for	ADP
cana-1059	306	40	computing	computing	NOUN
cana-1059	306	41	machinery	machinery	NOUN
cana-1059	306	42	,	,	PUNCT
cana-1059	306	43	new	new	PROPN
cana-1059	306	44	york	york	PROPN
cana-1059	306	45	,	,	PUNCT
cana-1059	306	46	ny	ny	PROPN
cana-1059	306	47	,	,	PUNCT
cana-1059	306	48	usa	usa	PROPN
cana-1059	306	49	,	,	PUNCT
cana-1059	306	50	2010	2010	NUM
cana-1059	306	51	,	,	PUNCT
cana-1059	306	52	p.	p.	NOUN
cana-1059	306	53	119–126	119–126	NUM
cana-1059	306	54	.	.	PUNCT
cana-1059	307	1	doi:10.1145/1864708.1864733	doi:10.1145/1864708.1864733	PROPN
cana-1059	307	2	.	.	PUNCT
cana-1059	307	3	url	url	PROPN
cana-1059	307	4	https://doi.org/10.1145/1864708.1864733	https://doi.org/10.1145/1864708.1864733	NOUN
cana-1059	307	5	https://arxiv.org/abs/2404.00236	https://arxiv.org/abs/2404.00236	PROPN
cana-1059	307	6	https://doi.org/10.1145/2701126.2701208	https://doi.org/10.1145/2701126.2701208	VERB
cana-1059	307	7	https://doi.org/10.1145/1864708.1864733	https://doi.org/10.1145/1864708.1864733	NOUN
cana-1059	307	8	communications	communication	NOUN
cana-1059	307	9	on	on	ADP
cana-1059	307	10	applied	apply	VERB
cana-1059	307	11	nonlinear	nonlinear	ADJ
cana-1059	307	12	analysis	analysis	NOUN
cana-1059	307	13	issn	issn	NOUN
cana-1059	307	14	:	:	PUNCT
cana-1059	307	15	1074	1074	NUM
cana-1059	307	16	-	-	PUNCT
cana-1059	307	17	133x	133x	NUM
cana-1059	307	18	vol	vol	NOUN
cana-1059	307	19	31	31	NUM
cana-1059	307	20	no	no	NOUN
cana-1059	307	21	.	.	PUNCT
cana-1059	308	1	5s	5s	NUM
cana-1059	308	2	(	(	PUNCT
cana-1059	308	3	2024	2024	NUM
cana-1059	308	4	)	)	PUNCT
cana-1059	308	5	410	410	NUM
cana-1059	308	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1059	309	1	[	[	X
cana-1059	309	2	13	13	NUM
cana-1059	309	3	]	]	PUNCT
cana-1059	309	4	z.	z.	PROPN
cana-1059	309	5	j.	j.	PROPN
cana-1059	309	6	m.	m.	PROPN
cana-1059	309	7	y.	y.	PROPN
cana-1059	309	8	.	.	PUNCT
cana-1059	310	1	h.	h.	PROPN
cana-1059	310	2	x.	x.	PROPN
cana-1059	310	3	cheng	cheng	PROPN
cana-1059	310	4	,	,	PUNCT
cana-1059	310	5	c.	c.	PROPN
cana-1059	310	6	,	,	PUNCT
cana-1059	310	7	how	how	SCONJ
cana-1059	310	8	much	much	ADJ
cana-1059	310	9	can	can	AUX
cana-1059	310	10	group	group	NOUN
cana-1059	310	11	recommendation	recommendation	NOUN
cana-1059	310	12	benefit	benefit	NOUN
cana-1059	310	13	from	from	ADP
cana-1059	310	14	individual	individual	ADJ
cana-1059	310	15	preferences	preference	NOUN
cana-1059	310	16	?	?	PUNCT
cana-1059	311	1	a	a	DET
cana-1059	311	2	theoretical	theoretical	ADJ
cana-1059	311	3	analysis	analysis	NOUN
cana-1059	311	4	,	,	PUNCT
cana-1059	311	5	proceedings	proceeding	NOUN
cana-1059	311	6	of	of	ADP
cana-1059	311	7	the	the	DET
cana-1059	311	8	twelfth	twelfth	ADJ
cana-1059	311	9	acm	acm	NOUN
cana-1059	311	10	conference	conference	NOUN
cana-1059	311	11	on	on	ADP
cana-1059	311	12	recommender	recommender	NOUN
cana-1059	311	13	systems	system	NOUN
cana-1059	311	14	(	(	PUNCT
cana-1059	311	15	2018	2018	NUM
cana-1059	311	16	)	)	PUNCT
cana-1059	311	17	1053	1053	NUM
cana-1059	311	18	–	–	PUNCT
cana-1059	311	19	1061	1061	NUM
cana-1059	311	20	.	.	PUNCT
cana-1059	312	1	[	[	X
cana-1059	312	2	14	14	NUM
cana-1059	312	3	]	]	X
cana-1059	312	4	l.	l.	PROPN
cana-1059	312	5	ya	ya	PROPN
cana-1059	312	6	,	,	PUNCT
cana-1059	312	7	the	the	DET
cana-1059	312	8	comparison	comparison	NOUN
cana-1059	312	9	of	of	ADP
cana-1059	312	10	personalization	personalization	NOUN
cana-1059	312	11	recommendation	recommendation	NOUN
cana-1059	312	12	for	for	ADP
cana-1059	312	13	ecommerce	ecommerce	PROPN
cana-1059	312	14	,	,	PUNCT
cana-1059	312	15	physics	physics	NOUN
cana-1059	312	16	procedia	procedia	NOUN
cana-1059	312	17	25	25	NUM
cana-1059	312	18	(	(	PUNCT
cana-1059	312	19	2012	2012	NUM
cana-1059	312	20	)	)	PUNCT
cana-1059	312	21	475–478	475–478	NUM
cana-1059	312	22	,	,	PUNCT
cana-1059	312	23	international	international	ADJ
cana-1059	312	24	conference	conference	NOUN
cana-1059	312	25	on	on	ADP
cana-1059	312	26	solid	solid	ADJ
cana-1059	312	27	state	state	NOUN
cana-1059	312	28	devices	device	NOUN
cana-1059	312	29	and	and	CCONJ
cana-1059	312	30	materials	material	NOUN
cana-1059	312	31	science	science	NOUN
cana-1059	312	32	,	,	PUNCT
cana-1059	312	33	april	april	PROPN
cana-1059	312	34	1	1	NUM
cana-1059	312	35	-	-	SYM
cana-1059	312	36	2	2	NUM
cana-1059	312	37	,	,	PUNCT
cana-1059	312	38	2012	2012	NUM
cana-1059	312	39	,	,	PUNCT
cana-1059	312	40	macao	macao	PROPN
cana-1059	312	41	.	.	PUNCT
cana-1059	313	1	doi	doi	PROPN
cana-1059	313	2	:	:	PUNCT
cana-1059	313	3	https://doi.org/10.1016	https://doi.org/10.1016	PROPN
cana-1059	313	4	/	/	SYM
cana-1059	313	5	j.phpro.2012.03.113	j.phpro.2012.03.113	NOUN
cana-1059	313	6	.	.	PUNCT
cana-1059	314	1	[	[	X
cana-1059	314	2	15	15	NUM
cana-1059	314	3	]	]	X
cana-1059	314	4	j.	j.	PROPN
cana-1059	314	5	avila	avila	PROPN
cana-1059	314	6	,	,	PUNCT
cana-1059	314	7	x.	x.	NOUN
cana-1059	314	8	riofrlo	riofrlo	NOUN
cana-1059	314	9	,	,	PUNCT
cana-1059	314	10	k.	k.	PROPN
cana-1059	314	11	palacio	palacio	PROPN
cana-1059	314	12	-	-	PUNCT
cana-1059	314	13	baus	baus	PROPN
cana-1059	314	14	,	,	PUNCT
cana-1059	314	15	d.	d.	PROPN
cana-1059	314	16	astudillo	astudillo	PROPN
cana-1059	314	17	,	,	PUNCT
cana-1059	314	18	v.	v.	PROPN
cana-1059	314	19	saquicela	saquicela	PROPN
cana-1059	314	20	,	,	PUNCT
cana-1059	314	21	m.	m.	PROPN
cana-1059	314	22	espinoza	espinoza	PROPN
cana-1059	314	23	-	-	PUNCT
cana-1059	314	24	mejla	mejla	NOUN
cana-1059	314	25	,	,	PUNCT
cana-1059	314	26	decategorizing	decategorize	VERB
cana-1059	314	27	demographically	demographically	ADV
cana-1059	314	28	stereotyped	stereotype	VERB
cana-1059	314	29	users	user	NOUN
cana-1059	314	30	in	in	ADP
cana-1059	314	31	a	a	DET
cana-1059	314	32	semantic	semantic	ADJ
cana-1059	314	33	recommender	recommender	NOUN
cana-1059	314	34	system	system	NOUN
cana-1059	314	35	,	,	PUNCT
cana-1059	314	36	in	in	ADP
cana-1059	314	37	:	:	PUNCT
cana-1059	314	38	2016	2016	NUM
cana-1059	314	39	xlii	xlii	PROPN
cana-1059	314	40	latin	latin	PROPN
cana-1059	314	41	american	american	PROPN
cana-1059	314	42	computing	computing	PROPN
cana-1059	314	43	conference	conference	PROPN
cana-1059	314	44	(	(	PUNCT
cana-1059	314	45	clei	clei	PROPN
cana-1059	314	46	)	)	PUNCT
cana-1059	314	47	,	,	PUNCT
cana-1059	314	48	2016	2016	NUM
cana-1059	314	49	,	,	PUNCT
cana-1059	314	50	pp	pp	ADV
cana-1059	314	51	.	.	PUNCT
cana-1059	315	1	1–7	1–7	X
cana-1059	315	2	.	.	PUNCT
cana-1059	315	3	doi:10.1109	doi:10.1109	VERB
cana-1059	315	4	/	/	SYM
cana-1059	315	5	clei.2016.7833408	clei.2016.7833408	NOUN
cana-1059	315	6	.	.	PUNCT
cana-1059	316	1	[	[	X
cana-1059	316	2	16	16	NUM
cana-1059	316	3	]	]	PUNCT
cana-1059	316	4	t.-k	t.-k	PROPN
cana-1059	316	5	.	.	PUNCT
cana-1059	317	1	hwang	hwang	PROPN
cana-1059	317	2	,	,	PUNCT
cana-1059	317	3	y.-m	y.-m	PROPN
cana-1059	317	4	.	.	PUNCT
cana-1059	318	1	li	li	PROPN
cana-1059	318	2	,	,	PUNCT
cana-1059	318	3	optimal	optimal	ADJ
cana-1059	318	4	recommendation	recommendation	NOUN
cana-1059	318	5	and	and	CCONJ
cana-1059	318	6	long	long	ADJ
cana-1059	318	7	-	-	PUNCT
cana-1059	318	8	tail	tail	NOUN
cana-1059	318	9	provision	provision	NOUN
cana-1059	318	10	strategies	strategy	NOUN
cana-1059	318	11	for	for	ADP
cana-1059	318	12	content	content	ADJ
cana-1059	318	13	monetization	monetization	NOUN
cana-1059	318	14	,	,	PUNCT
cana-1059	318	15	in	in	ADP
cana-1059	318	16	:	:	PUNCT
cana-1059	318	17	2014	2014	NUM
cana-1059	318	18	47th	47th	NOUN
cana-1059	318	19	hawaii	hawaii	PROPN
cana-1059	318	20	international	international	ADJ
cana-1059	318	21	conference	conference	NOUN
cana-1059	318	22	on	on	ADP
cana-1059	318	23	system	system	NOUN
cana-1059	318	24	sciences	science	NOUN
cana-1059	318	25	,	,	PUNCT
cana-1059	318	26	2014	2014	NUM
cana-1059	318	27	,	,	PUNCT
cana-1059	318	28	pp	pp	ADJ
cana-1059	318	29	.	.	PUNCT
cana-1059	319	1	1316–1323	1316–1323	NUM
cana-1059	319	2	.	.	PUNCT
cana-1059	320	1	doi:10.1109	doi:10.1109	PROPN
cana-1059	320	2	/	/	SYM
cana-1059	320	3	hicss.2014.169	hicss.2014.169	PROPN
cana-1059	320	4	.	.	PUNCT
cana-1059	321	1	[	[	X
cana-1059	321	2	17	17	NUM
cana-1059	321	3	]	]	X
cana-1059	321	4	q.	q.	PROPN
cana-1059	321	5	wu	wu	PROPN
cana-1059	321	6	,	,	PUNCT
cana-1059	321	7	y.	y.	PROPN
cana-1059	321	8	liu	liu	PROPN
cana-1059	321	9	,	,	PUNCT
cana-1059	321	10	c.	c.	PROPN
cana-1059	321	11	miao	miao	PROPN
cana-1059	321	12	,	,	PUNCT
cana-1059	321	13	y.	y.	PROPN
cana-1059	321	14	zhao	zhao	PROPN
cana-1059	321	15	,	,	PUNCT
cana-1059	321	16	l.	l.	PROPN
cana-1059	321	17	guan	guan	PROPN
cana-1059	321	18	,	,	PUNCT
cana-1059	321	19	h.	h.	PROPN
cana-1059	321	20	tang	tang	PROPN
cana-1059	321	21	,	,	PUNCT
cana-1059	321	22	recent	recent	ADJ
cana-1059	321	23	advances	advance	NOUN
cana-1059	321	24	in	in	ADP
cana-1059	321	25	diversified	diversified	ADJ
cana-1059	321	26	recommendation	recommendation	NOUN
cana-1059	321	27	(	(	PUNCT
cana-1059	321	28	2019	2019	NUM
cana-1059	321	29	)	)	PUNCT
cana-1059	321	30	.	.	PUNCT
cana-1059	322	1	arxiv:1905.06589	arxiv:1905.06589	NOUN
cana-1059	322	2	.	.	PUNCT
cana-1059	323	1	[	[	X
cana-1059	323	2	18	18	NUM
cana-1059	323	3	]	]	PUNCT
cana-1059	323	4	q.	q.	PROPN
cana-1059	323	5	liang	liang	PROPN
cana-1059	323	6	,	,	PUNCT
cana-1059	323	7	x.	x.	PROPN
cana-1059	323	8	liao	liao	PROPN
cana-1059	323	9	,	,	PUNCT
cana-1059	323	10	j.	j.	PROPN
cana-1059	323	11	shang	shang	PROPN
cana-1059	323	12	,	,	PUNCT
cana-1059	323	13	a	a	DET
cana-1059	323	14	multiple	multiple	ADJ
cana-1059	323	15	criteria	criterion	NOUN
cana-1059	323	16	approach	approach	NOUN
cana-1059	323	17	integrating	integrate	VERB
cana-1059	323	18	social	social	ADJ
cana-1059	323	19	ties	tie	NOUN
cana-1059	323	20	to	to	PART
cana-1059	323	21	support	support	VERB
cana-1059	323	22	purchase	purchase	NOUN
cana-1059	323	23	decision	decision	NOUN
cana-1059	323	24	,	,	PUNCT
cana-1059	323	25	computers	computer	NOUN
cana-1059	323	26	industrial	industrial	ADJ
cana-1059	323	27	engineering	engineering	NOUN
cana-1059	323	28	147	147	NUM
cana-1059	323	29	(	(	PUNCT
cana-1059	323	30	2020	2020	NUM
cana-1059	323	31	)	)	PUNCT
cana-1059	323	32	106655	106655	NUM
cana-1059	323	33	.	.	PUNCT
cana-1059	324	1	doi	doi	NOUN
cana-1059	324	2	:	:	PUNCT
cana-1059	324	3	https://doi.org/10.1016	https://doi.org/10.1016	PROPN
cana-1059	324	4	/	/	SYM
cana-1059	324	5	j.cie.2020.106655	j.cie.2020.106655	NOUN
cana-1059	324	6	.	.	PUNCT
cana-1059	325	1	[	[	X
cana-1059	325	2	19	19	NUM
cana-1059	325	3	]	]	PUNCT
cana-1059	325	4	k.	k.	PROPN
cana-1059	325	5	modarresi	modarresi	PROPN
cana-1059	325	6	,	,	PUNCT
cana-1059	325	7	recommendation	recommendation	NOUN
cana-1059	325	8	system	system	NOUN
cana-1059	325	9	based	base	VERB
cana-1059	325	10	on	on	ADP
cana-1059	325	11	complete	complete	ADJ
cana-1059	325	12	personalization	personalization	NOUN
cana-1059	325	13	,	,	PUNCT
cana-1059	325	14	procedia	procedia	NOUN
cana-1059	325	15	computer	computer	NOUN
cana-1059	325	16	science	science	NOUN
cana-1059	325	17	80	80	NUM
cana-1059	325	18	(	(	PUNCT
cana-1059	325	19	2016	2016	NUM
cana-1059	325	20	)	)	PUNCT
cana-1059	325	21	2190	2190	NUM
cana-1059	325	22	–	–	PUNCT
cana-1059	325	23	2204	2204	NUM
cana-1059	325	24	,	,	PUNCT
cana-1059	325	25	international	international	ADJ
cana-1059	325	26	conference	conference	NOUN
cana-1059	325	27	on	on	ADP
cana-1059	325	28	computational	computational	ADJ
cana-1059	325	29	science	science	NOUN
cana-1059	325	30	2016	2016	NUM
cana-1059	325	31	,	,	PUNCT
cana-1059	325	32	iccs	iccs	VERB
cana-1059	325	33	2016	2016	NUM
cana-1059	325	34	,	,	PUNCT
cana-1059	325	35	6	6	NUM
cana-1059	325	36	-	-	SYM
cana-1059	325	37	8	8	NUM
cana-1059	325	38	june	june	PROPN
cana-1059	325	39	2016	2016	NUM
cana-1059	325	40	,	,	PUNCT
cana-1059	325	41	san	san	PROPN
cana-1059	325	42	diego	diego	PROPN
cana-1059	325	43	,	,	PUNCT
cana-1059	325	44	california	california	PROPN
cana-1059	325	45	,	,	PUNCT
cana-1059	325	46	usa	usa	PROPN
cana-1059	325	47	.	.	PROPN
cana-1059	325	48	doi	doi	PROPN
cana-1059	325	49	:	:	PUNCT
cana-1059	325	50	https://doi.org/10.1016	https://doi.org/10.1016	PROPN
cana-1059	325	51	/	/	SYM
cana-1059	325	52	j.procs.2016.05.379	j.procs.2016.05.379	PROPN
cana-1059	325	53	.	.	PUNCT
cana-1059	326	1	[	[	X
cana-1059	326	2	20	20	NUM
cana-1059	326	3	]	]	X
cana-1059	326	4	y.	y.	PROPN
cana-1059	326	5	q.	q.	PROPN
cana-1059	326	6	c.	c.	PROPN
cana-1059	326	7	j.	j.	PROPN
cana-1059	326	8	t.	t.	PROPN
cana-1059	326	9	liu	liu	PROPN
cana-1059	326	10	,	,	PUNCT
cana-1059	326	11	c.	c.	PROPN
cana-1059	326	12	xu	xu	PROPN
cana-1059	326	13	,	,	PUNCT
cana-1059	326	14	w.	w.	PROPN
cana-1059	326	15	chen	chen	PROPN
cana-1059	326	16	,	,	PUNCT
cana-1059	326	17	news	news	NOUN
cana-1059	326	18	recommendation	recommendation	NOUN
cana-1059	326	19	with	with	ADP
cana-1059	326	20	attention	attention	NOUN
cana-1059	326	21	mechanism	mechanism	NOUN
cana-1059	326	22	,	,	PUNCT
cana-1059	326	23	journal	journal	NOUN
cana-1059	326	24	of	of	ADP
cana-1059	326	25	industrial	industrial	ADJ
cana-1059	326	26	engineering	engineering	NOUN
cana-1059	326	27	amp	amp	NOUN
cana-1059	326	28	;	;	PUNCT
cana-1059	326	29	applied	apply	VERB
cana-1059	326	30	science	science	NOUN
cana-1059	326	31	2	2	NUM
cana-1059	326	32	(	(	PUNCT
cana-1059	326	33	21	21	NUM
cana-1059	326	34	-	-	SYM
cana-1059	326	35	26	26	NUM
cana-1059	326	36	)	)	PUNCT
cana-1059	326	37	(	(	PUNCT
cana-1059	326	38	feb	feb	NOUN
cana-1059	326	39	2024	2024	NUM
cana-1059	326	40	)	)	PUNCT
cana-1059	326	41	.	.	PUNCT
cana-1059	327	1	[	[	X
cana-1059	327	2	21	21	NUM
cana-1059	327	3	]	]	X
cana-1059	327	4	s.	s.	PROPN
cana-1059	327	5	siet	siet	PROPN
cana-1059	327	6	,	,	PUNCT
cana-1059	327	7	s.	s.	PROPN
cana-1059	327	8	peng	peng	PROPN
cana-1059	327	9	,	,	PUNCT
cana-1059	327	10	s.	s.	PROPN
cana-1059	327	11	ilkhomjon	ilkhomjon	PROPN
cana-1059	327	12	,	,	PUNCT
cana-1059	327	13	m.	m.	PROPN
cana-1059	327	14	kang	kang	PROPN
cana-1059	327	15	,	,	PUNCT
cana-1059	327	16	d.-s	d.-s	PROPN
cana-1059	327	17	.	.	PUNCT
cana-1059	328	1	park	park	NOUN
cana-1059	328	2	,	,	PUNCT
cana-1059	328	3	enhancing	enhance	VERB
cana-1059	328	4	sequence	sequence	NOUN
cana-1059	328	5	movie	movie	NOUN
cana-1059	328	6	recommendation	recommendation	NOUN
cana-1059	328	7	system	system	NOUN
cana-1059	328	8	using	use	VERB
cana-1059	328	9	deep	deep	ADJ
cana-1059	328	10	learning	learning	NOUN
cana-1059	328	11	and	and	CCONJ
cana-1059	328	12	kmeans	kmean	NOUN
cana-1059	328	13	,	,	PUNCT
cana-1059	328	14	applied	apply	VERB
cana-1059	328	15	sciences	science	NOUN
cana-1059	328	16	14	14	NUM
cana-1059	328	17	(	(	PUNCT
cana-1059	328	18	6	6	NUM
cana-1059	328	19	)	)	PUNCT
cana-1059	328	20	(	(	PUNCT
cana-1059	328	21	2024	2024	NUM
cana-1059	328	22	)	)	PUNCT
cana-1059	328	23	.	.	PUNCT
cana-1059	329	1	doi:10.3390	doi:10.3390	PROPN
cana-1059	329	2	/	/	SYM
cana-1059	329	3	app14062505	app14062505	PROPN
cana-1059	329	4	.	.	PUNCT
cana-1059	330	1	url	url	PROPN
cana-1059	330	2	https://www.mdpi.com/20763417/14/6/2505	https://www.mdpi.com/20763417/14/6/2505	PROPN
cana-1059	331	1	[	[	X
cana-1059	331	2	22	22	NUM
cana-1059	331	3	]	]	PUNCT
cana-1059	331	4	v.	v.	PROPN
cana-1059	331	5	r.	r.	PROPN
cana-1059	331	6	revathy	revathy	PROPN
cana-1059	331	7	,	,	PUNCT
cana-1059	331	8	s.	s.	PROPN
cana-1059	331	9	p.	p.	PROPN
cana-1059	331	10	anitha	anitha	PROPN
cana-1059	331	11	,	,	PUNCT
cana-1059	331	12	cold	cold	ADJ
cana-1059	331	13	start	start	NOUN
cana-1059	331	14	problem	problem	NOUN
cana-1059	331	15	in	in	ADP
cana-1059	331	16	social	social	ADJ
cana-1059	331	17	recommender	recommender	NOUN
cana-1059	331	18	systems	system	NOUN
cana-1059	331	19	:	:	PUNCT
cana-1059	331	20	state	state	NOUN
cana-1059	331	21	-	-	PUNCT
cana-1059	331	22	of	of	ADP
cana-1059	331	23	-	-	PUNCT
cana-1059	331	24	the	the	DET
cana-1059	331	25	-	-	PUNCT
cana-1059	331	26	art	art	NOUN
cana-1059	331	27	review	review	NOUN
cana-1059	331	28	,	,	PUNCT
cana-1059	331	29	in	in	ADP
cana-1059	331	30	:	:	PUNCT
cana-1059	331	31	s.	s.	PROPN
cana-1059	331	32	k.	k.	PROPN
cana-1059	331	33	bhatia	bhatia	PROPN
cana-1059	331	34	,	,	PUNCT
cana-1059	331	35	s.	s.	PROPN
cana-1059	331	36	tiwari	tiwari	PROPN
cana-1059	331	37	,	,	PUNCT
cana-1059	331	38	k.	k.	PROPN
cana-1059	331	39	k.	k.	PROPN
cana-1059	331	40	mishra	mishra	PROPN
cana-1059	331	41	,	,	PUNCT
cana-1059	331	42	m.	m.	PROPN
cana-1059	331	43	c.	c.	PROPN
cana-1059	331	44	trivedi	trivedi	PROPN
cana-1059	331	45	(	(	PUNCT
cana-1059	331	46	eds	ed	NOUN
cana-1059	331	47	.	.	PUNCT
cana-1059	331	48	)	)	PUNCT
cana-1059	331	49	,	,	PUNCT
cana-1059	331	50	advances	advance	VERB
cana-1059	331	51	in	in	ADP
cana-1059	331	52	computer	computer	NOUN
cana-1059	331	53	communication	communication	NOUN
cana-1059	331	54	and	and	CCONJ
cana-1059	331	55	computational	computational	ADJ
cana-1059	331	56	sciences	science	NOUN
cana-1059	331	57	,	,	PUNCT
cana-1059	331	58	springer	springer	NOUN
cana-1059	331	59	singapore	singapore	PROPN
cana-1059	331	60	,	,	PUNCT
cana-1059	331	61	singapore	singapore	PROPN
cana-1059	331	62	,	,	PUNCT
cana-1059	331	63	2019	2019	NUM
cana-1059	331	64	,	,	PUNCT
cana-1059	331	65	pp	pp	ADJ
cana-1059	331	66	.	.	PUNCT
cana-1059	332	1	105–115	105–115	NUM
cana-1059	332	2	.	.	PUNCT
cana-1059	333	1	[	[	X
cana-1059	333	2	23	23	NUM
cana-1059	333	3	]	]	PUNCT
cana-1059	333	4	x.	x.	PROPN
cana-1059	333	5	n.	n.	PROPN
cana-1059	333	6	lam	lam	PROPN
cana-1059	333	7	,	,	PUNCT
cana-1059	333	8	t.	t.	PROPN
cana-1059	333	9	vu	vu	PROPN
cana-1059	333	10	,	,	PUNCT
cana-1059	333	11	t.	t.	PROPN
cana-1059	333	12	d.	d.	PROPN
cana-1059	333	13	le	le	PROPN
cana-1059	333	14	,	,	PUNCT
cana-1059	333	15	a.	a.	PROPN
cana-1059	333	16	d.	d.	PROPN
cana-1059	333	17	duong	duong	PROPN
cana-1059	333	18	,	,	PUNCT
cana-1059	333	19	addressing	address	VERB
cana-1059	333	20	cold	cold	ADJ
cana-1059	333	21	-	-	PUNCT
cana-1059	333	22	start	start	NOUN
cana-1059	333	23	problem	problem	NOUN
cana-1059	333	24	in	in	ADP
cana-1059	333	25	recommendation	recommendation	NOUN
cana-1059	333	26	systems	system	NOUN
cana-1059	333	27	,	,	PUNCT
cana-1059	333	28	in	in	ADP
cana-1059	333	29	:	:	PUNCT
cana-1059	333	30	proceedings	proceeding	NOUN
cana-1059	333	31	of	of	ADP
cana-1059	333	32	the	the	DET
cana-1059	333	33	2nd	2nd	ADJ
cana-1059	333	34	international	international	ADJ
cana-1059	333	35	conference	conference	NOUN
cana-1059	333	36	on	on	ADP
cana-1059	333	37	ubiquitous	ubiquitous	ADJ
cana-1059	333	38	information	information	NOUN
cana-1059	333	39	management	management	NOUN
cana-1059	333	40	and	and	CCONJ
cana-1059	333	41	communication	communication	NOUN
cana-1059	333	42	,	,	PUNCT
cana-1059	333	43	icuimc	icuimc	NOUN
cana-1059	333	44	’	'	PUNCT
cana-1059	333	45	08	08	NUM
cana-1059	333	46	,	,	PUNCT
cana-1059	333	47	association	association	NOUN
cana-1059	333	48	for	for	ADP
cana-1059	333	49	computing	computing	NOUN
cana-1059	333	50	machinery	machinery	NOUN
cana-1059	333	51	,	,	PUNCT
cana-1059	333	52	new	new	PROPN
cana-1059	333	53	york	york	PROPN
cana-1059	333	54	,	,	PUNCT
cana-1059	333	55	ny	ny	PROPN
cana-1059	333	56	,	,	PUNCT
cana-1059	333	57	usa	usa	PROPN
cana-1059	333	58	,	,	PUNCT
cana-1059	333	59	2008	2008	NUM
cana-1059	333	60	,	,	PUNCT
cana-1059	333	61	p.	p.	NOUN
cana-1059	333	62	208–211	208–211	NUM
cana-1059	333	63	.	.	PUNCT
cana-1059	334	1	doi:10.1145/1352793.1352837	doi:10.1145/1352793.1352837	NOUN
cana-1059	334	2	.	.	PUNCT
cana-1059	335	1	url	url	VERB
cana-1059	335	2	https://doi.org/10.1145/1352793.1352837	https://doi.org/10.1145/1352793.1352837	NOUN
cana-1059	336	1	[	[	X
cana-1059	336	2	24	24	NUM
cana-1059	336	3	]	]	PUNCT
cana-1059	336	4	a.	a.	PROPN
cana-1059	336	5	k.	k.	PROPN
cana-1059	336	6	pandey	pandey	PROPN
cana-1059	336	7	,	,	PUNCT
cana-1059	336	8	d.	d.	PROPN
cana-1059	336	9	s.	s.	PROPN
cana-1059	336	10	rajpoot	rajpoot	PROPN
cana-1059	336	11	,	,	PUNCT
cana-1059	336	12	resolving	resolve	VERB
cana-1059	336	13	cold	cold	ADJ
cana-1059	336	14	start	start	NOUN
cana-1059	336	15	problem	problem	NOUN
cana-1059	336	16	in	in	ADP
cana-1059	336	17	recommendation	recommendation	NOUN
cana-1059	336	18	system	system	NOUN
cana-1059	336	19	using	use	VERB
cana-1059	336	20	demographic	demographic	ADJ
cana-1059	336	21	approach	approach	NOUN
cana-1059	336	22	,	,	PUNCT
cana-1059	336	23	in	in	ADP
cana-1059	336	24	:	:	PUNCT
cana-1059	336	25	2016	2016	NUM
cana-1059	336	26	international	international	ADJ
cana-1059	336	27	conference	conference	NOUN
cana-1059	336	28	on	on	ADP
cana-1059	336	29	signal	signal	ADJ
cana-1059	336	30	processing	processing	NOUN
cana-1059	336	31	and	and	CCONJ
cana-1059	336	32	communication	communication	NOUN
cana-1059	336	33	(	(	PUNCT
cana-1059	336	34	icsc	icsc	PROPN
cana-1059	336	35	)	)	PUNCT
cana-1059	336	36	,	,	PUNCT
cana-1059	336	37	2016	2016	NUM
cana-1059	336	38	,	,	PUNCT
cana-1059	336	39	pp	pp	ADJ
cana-1059	336	40	.	.	PUNCT
cana-1059	337	1	213–218	213–218	NUM
cana-1059	337	2	.	.	PUNCT
cana-1059	338	1	doi:10.1109	doi:10.1109	VERB
cana-1059	338	2	/	/	SYM
cana-1059	338	3	icspcom.2016.7980578	icspcom.2016.7980578	PROPN
cana-1059	338	4	.	.	PUNCT
cana-1059	339	1	[	[	X
cana-1059	339	2	25	25	NUM
cana-1059	339	3	]	]	PUNCT
cana-1059	339	4	c.	c.	PROPN
cana-1059	339	5	y.	y.	PROPN
cana-1059	339	6	z.	z.	PROPN
cana-1059	339	7	z.	z.	PROPN
cana-1059	339	8	q.	q.	PROPN
cana-1059	339	9	m.	m.	PROPN
cana-1059	339	10	liu	liu	PROPN
cana-1059	339	11	,	,	PUNCT
cana-1059	339	12	li	li	PROPN
cana-1059	339	13	min	min	PROPN
cana-1059	339	14	,	,	PUNCT
cana-1059	339	15	y.	y.	PROPN
cana-1059	339	16	h.	h.	PROPN
cana-1059	339	17	xiao	xiao	PROPN
cana-1059	339	18	,	,	PUNCT
cana-1059	339	19	research	research	NOUN
cana-1059	339	20	for	for	ADP
cana-1059	339	21	coldstart	coldstart	ADJ
cana-1059	339	22	problem	problem	NOUN
cana-1059	339	23	in	in	ADP
cana-1059	339	24	network	network	NOUN
cana-1059	339	25	-	-	PUNCT
cana-1059	339	26	based	base	VERB
cana-1059	339	27	recommendation	recommendation	NOUN
cana-1059	339	28	algorithm	algorithm	NOUN
cana-1059	339	29	,	,	PUNCT
cana-1059	339	30	applied	apply	VERB
cana-1059	339	31	mechanics	mechanic	NOUN
cana-1059	339	32	and	and	CCONJ
cana-1059	339	33	materials	material	NOUN
cana-1059	339	34	.	.	PUNCT
cana-1059	340	1	trans	trans	PROPN
cana-1059	340	2	tech	tech	PROPN
cana-1059	340	3	publications	publication	NOUN
cana-1059	340	4	,	,	PUNCT
cana-1059	340	5	ltd	ltd	PROPN
cana-1059	340	6	.	.	PROPN
cana-1059	340	7	(	(	PUNCT
cana-1059	340	8	2013	2013	NUM
cana-1059	340	9	)	)	PUNCT
cana-1059	340	10	.	.	PUNCT
cana-1059	341	1	doi	doi	NOUN
cana-1059	341	2	:	:	PUNCT
cana-1059	341	3	https://doi.org/10.4028	https://doi.org/10.4028	NOUN
cana-1059	341	4	/	/	SYM
cana-1059	341	5	www.scientific.net	www.scientific.net	PROPN
cana-1059	341	6	/	/	SYM
cana-1059	341	7	amm.462	amm.462	NOUN
cana-1059	341	8	-	-	PUNCT
cana-1059	341	9	463.861	463.861	NUM
cana-1059	341	10	.	.	PUNCT
cana-1059	342	1	[	[	X
cana-1059	342	2	26	26	NUM
cana-1059	342	3	]	]	PUNCT
cana-1059	342	4	b.	b.	NOUN
cana-1059	342	5	lika	lika	PROPN
cana-1059	342	6	,	,	PUNCT
cana-1059	342	7	k.	k.	PROPN
cana-1059	342	8	kolomvatsos	kolomvatsos	PROPN
cana-1059	342	9	,	,	PUNCT
cana-1059	342	10	s.	s.	PROPN
cana-1059	342	11	hadjiefthymiades	hadjiefthymiades	PROPN
cana-1059	342	12	,	,	PUNCT
cana-1059	342	13	facing	face	VERB
cana-1059	342	14	the	the	DET
cana-1059	342	15	cold	cold	ADJ
cana-1059	342	16	start	start	NOUN
cana-1059	342	17	problem	problem	NOUN
cana-1059	342	18	in	in	ADP
cana-1059	342	19	recommender	recommender	NOUN
cana-1059	342	20	systems	system	NOUN
cana-1059	342	21	,	,	PUNCT
cana-1059	342	22	expert	expert	NOUN
cana-1059	342	23	systems	system	NOUN
cana-1059	342	24	with	with	ADP
cana-1059	342	25	applications	application	NOUN
cana-1059	342	26	41	41	NUM
cana-1059	342	27	(	(	PUNCT
cana-1059	342	28	4	4	NUM
cana-1059	342	29	,	,	PUNCT
cana-1059	342	30	part	part	NOUN
cana-1059	342	31	2	2	NUM
cana-1059	342	32	)	)	PUNCT
cana-1059	342	33	(	(	PUNCT
cana-1059	342	34	2014	2014	NUM
cana-1059	342	35	)	)	PUNCT
cana-1059	342	36	2065–2073	2065–2073	NUM
cana-1059	342	37	.	.	PUNCT
cana-1059	343	1	doi	doi	NOUN
cana-1059	343	2	:	:	PUNCT
cana-1059	343	3	https://doi.org/10.1016	https://doi.org/10.1016	PROPN
cana-1059	343	4	/	/	SYM
cana-1059	343	5	j.eswa.2013.09.005	j.eswa.2013.09.005	NOUN
cana-1059	343	6	.	.	PUNCT
cana-1059	344	1	[	[	X
cana-1059	344	2	27	27	NUM
cana-1059	344	3	]	]	X
cana-1059	344	4	n.	n.	PROPN
cana-1059	344	5	mishra	mishra	PROPN
cana-1059	344	6	,	,	PUNCT
cana-1059	344	7	v.	v.	PROPN
cana-1059	344	8	mishra	mishra	PROPN
cana-1059	344	9	,	,	PUNCT
cana-1059	344	10	s.	s.	PROPN
cana-1059	344	11	chaturvedi	chaturvedi	PROPN
cana-1059	344	12	,	,	PUNCT
cana-1059	344	13	tools	tool	NOUN
cana-1059	344	14	and	and	CCONJ
cana-1059	344	15	techniques	technique	NOUN
cana-1059	344	16	for	for	ADP
cana-1059	344	17	solving	solve	VERB
cana-1059	344	18	cold	cold	ADJ
cana-1059	344	19	start	start	NOUN
cana-1059	344	20	recommendation	recommendation	NOUN
cana-1059	344	21	,	,	PUNCT
cana-1059	344	22	in	in	ADP
cana-1059	344	23	:	:	PUNCT
cana-1059	344	24	proceedings	proceeding	NOUN
cana-1059	344	25	of	of	ADP
cana-1059	344	26	the	the	DET
cana-1059	344	27	1st	1st	ADJ
cana-1059	344	28	international	international	ADJ
cana-1059	344	29	conference	conference	NOUN
cana-1059	344	30	on	on	ADP
cana-1059	344	31	internet	internet	NOUN
cana-1059	344	32	of	of	ADP
cana-1059	344	33	things	thing	NOUN
cana-1059	344	34	and	and	CCONJ
cana-1059	344	35	machine	machine	NOUN
cana-1059	344	36	learning	learning	NOUN
cana-1059	344	37	,	,	PUNCT
cana-1059	344	38	iml	iml	NOUN
cana-1059	344	39	’	'	PUNCT
cana-1059	344	40	17	17	NUM
cana-1059	344	41	,	,	PUNCT
cana-1059	344	42	association	association	NOUN
cana-1059	344	43	for	for	ADP
cana-1059	344	44	computing	computing	NOUN
cana-1059	344	45	machinery	machinery	NOUN
cana-1059	344	46	,	,	PUNCT
cana-1059	344	47	new	new	PROPN
cana-1059	344	48	york	york	PROPN
cana-1059	344	49	,	,	PUNCT
cana-1059	344	50	ny	ny	PROPN
cana-1059	344	51	,	,	PUNCT
cana-1059	344	52	usa	usa	PROPN
cana-1059	344	53	,	,	PUNCT
cana-1059	344	54	2017	2017	NUM
cana-1059	344	55	.	.	PUNCT
cana-1059	344	56	doi:10.1145/3109761.3109772	doi:10.1145/3109761.3109772	NOUN
cana-1059	344	57	.	.	PUNCT
cana-1059	345	1	url	url	PROPN
cana-1059	345	2	https://doi.org/10.1145/3109761.3109772	https://doi.org/10.1145/3109761.3109772	NOUN
cana-1059	345	3	[	[	X
cana-1059	345	4	28	28	NUM
cana-1059	345	5	]	]	PUNCT
cana-1059	345	6	m.-h	m.-h	NOUN
cana-1059	345	7	.	.	PUNCT
cana-1059	346	1	nadimi	nadimi	ADJ
cana-1059	346	2	-	-	NOUN
cana-1059	346	3	shahraki	shahraki	NOUN
cana-1059	346	4	,	,	PUNCT
cana-1059	346	5	m.	m.	NOUN
cana-1059	346	6	bahadorpour	bahadorpour	PROPN
cana-1059	346	7	,	,	PUNCT
cana-1059	346	8	cold	cold	ADJ
cana-1059	346	9	-	-	PUNCT
cana-1059	346	10	start	start	NOUN
cana-1059	346	11	problem	problem	NOUN
cana-1059	346	12	in	in	ADP
cana-1059	346	13	collaborative	collaborative	ADJ
cana-1059	346	14	recommender	recommender	NOUN
cana-1059	346	15	systems	system	NOUN
cana-1059	346	16	:	:	PUNCT
cana-1059	346	17	efficient	efficient	ADJ
cana-1059	346	18	methods	method	NOUN
cana-1059	346	19	based	base	VERB
cana-1059	346	20	on	on	ADP
cana-1059	346	21	ask	ask	NOUN
cana-1059	346	22	-	-	PUNCT
cana-1059	346	23	to	to	ADP
cana-1059	346	24	-	-	PUNCT
cana-1059	346	25	rate	rate	NOUN
cana-1059	346	26	technique	technique	NOUN
cana-1059	346	27	,	,	PUNCT
cana-1059	346	28	journal	journal	NOUN
cana-1059	346	29	of	of	ADP
cana-1059	346	30	computing	computing	NOUN
cana-1059	346	31	and	and	CCONJ
cana-1059	346	32	information	information	NOUN
cana-1059	346	33	technology	technology	NOUN
cana-1059	346	34	(	(	PUNCT
cana-1059	346	35	2014	2014	NUM
cana-1059	346	36	)	)	PUNCT
cana-1059	346	37	105	105	NUM
cana-1059	346	38	–	–	PUNCT
cana-1059	346	39	113doi	113doi	NUM
cana-1059	346	40	:	:	PUNCT
cana-1059	346	41	doi:10.2498	doi:10.2498	PROPN
cana-1059	346	42	/	/	SYM
cana-1059	346	43	cit.1002223	cit.1002223	PROPN
cana-1059	346	44	.	.	PUNCT
cana-1059	347	1	https://www.mdpi.com/2076-3417/14/6/2505	https://www.mdpi.com/2076-3417/14/6/2505	PROPN
cana-1059	347	2	https://www.mdpi.com/2076-3417/14/6/2505	https://www.mdpi.com/2076-3417/14/6/2505	ADJ
cana-1059	347	3	https://doi.org/10.1145/1352793.1352837	https://doi.org/10.1145/1352793.1352837	NOUN
cana-1059	347	4	https://doi.org/10.1145/3109761.3109772	https://doi.org/10.1145/3109761.3109772	VERB