id	sid	tid	token	lemma	pos
fcis-1497	1	1	frontiers	frontier	NOUN
fcis-1497	1	2	in	in	ADP
fcis-1497	1	3	computing	computing	NOUN
fcis-1497	1	4	and	and	CCONJ
fcis-1497	1	5	intelligent	intelligent	ADJ
fcis-1497	1	6	systems	system	NOUN
fcis-1497	1	7	issn	issn	VERB
fcis-1497	1	8	:	:	PUNCT
fcis-1497	1	9	2832	2832	NUM
fcis-1497	1	10	-	-	SYM
fcis-1497	1	11	6024	6024	NUM
fcis-1497	1	12	|	|	NOUN
fcis-1497	1	13	vol	vol	NOUN
fcis-1497	1	14	.	.	PROPN
fcis-1497	2	1	1	1	NUM
fcis-1497	2	2	,	,	PUNCT
fcis-1497	2	3	no	no	INTJ
fcis-1497	2	4	.	.	NOUN
fcis-1497	2	5	1	1	NUM
fcis-1497	2	6	,	,	PUNCT
fcis-1497	2	7	2022	2022	NUM
fcis-1497	2	8	82	82	NUM
fcis-1497	2	9	graph	graph	NOUN
fcis-1497	2	10	convolution	convolution	NOUN
fcis-1497	2	11	network	network	NOUN
fcis-1497	2	12	recommender	recommender	NOUN
fcis-1497	2	13	rystem	rystem	NOUN
fcis-1497	2	14	with	with	ADP
fcis-1497	2	15	feature	feature	NOUN
fcis-1497	2	16	embedding	embed	VERB
fcis-1497	2	17	zhengtian	zhengtian	PROPN
fcis-1497	2	18	luo	luo	PROPN
fcis-1497	2	19	school	school	NOUN
fcis-1497	2	20	of	of	ADP
fcis-1497	2	21	southwest	southwest	PROPN
fcis-1497	2	22	minzu	minzu	PROPN
fcis-1497	2	23	university	university	PROPN
fcis-1497	2	24	,	,	PUNCT
fcis-1497	2	25	chengdu	chengdu	PROPN
fcis-1497	2	26	610000	610000	NUM
fcis-1497	2	27	,	,	PUNCT
fcis-1497	2	28	china	china	PROPN
fcis-1497	2	29	.	.	PUNCT
fcis-1497	3	1	abstract	abstract	ADJ
fcis-1497	3	2	:	:	PUNCT
fcis-1497	3	3	recommender	recommender	NOUN
fcis-1497	3	4	system	system	NOUN
fcis-1497	3	5	has	have	AUX
fcis-1497	3	6	become	become	VERB
fcis-1497	3	7	one	one	NUM
fcis-1497	3	8	of	of	ADP
fcis-1497	3	9	the	the	DET
fcis-1497	3	10	most	most	ADV
fcis-1497	3	11	important	important	ADJ
fcis-1497	3	12	parts	part	NOUN
fcis-1497	3	13	of	of	ADP
fcis-1497	3	14	information	information	NOUN
fcis-1497	3	15	services	service	NOUN
fcis-1497	3	16	on	on	ADP
fcis-1497	3	17	the	the	DET
fcis-1497	3	18	internet	internet	NOUN
fcis-1497	3	19	today	today	NOUN
fcis-1497	3	20	the	the	DET
fcis-1497	3	21	model	model	NOUN
fcis-1497	3	22	based	base	VERB
fcis-1497	3	23	on	on	ADP
fcis-1497	3	24	graph	graph	NOUN
fcis-1497	3	25	neural	neural	ADJ
fcis-1497	3	26	network	network	NOUN
fcis-1497	3	27	has	have	AUX
fcis-1497	3	28	been	be	AUX
fcis-1497	3	29	proved	prove	VERB
fcis-1497	3	30	to	to	PART
fcis-1497	3	31	be	be	AUX
fcis-1497	3	32	a	a	DET
fcis-1497	3	33	very	very	ADV
fcis-1497	3	34	effective	effective	ADJ
fcis-1497	3	35	method	method	NOUN
fcis-1497	3	36	in	in	ADP
fcis-1497	3	37	collaborative	collaborative	ADJ
fcis-1497	3	38	filtering	filtering	NOUN
fcis-1497	3	39	recommender	recommender	NOUN
fcis-1497	3	40	system	system	NOUN
fcis-1497	3	41	[	[	X
fcis-1497	3	42	1,15	1,15	NUM
fcis-1497	3	43	]	]	X
fcis-1497	3	44	.	.	PUNCT
fcis-1497	4	1	however	however	ADV
fcis-1497	4	2	,	,	PUNCT
fcis-1497	4	3	the	the	DET
fcis-1497	4	4	recommender	recommender	NOUN
fcis-1497	4	5	system	system	NOUN
fcis-1497	4	6	based	base	VERB
fcis-1497	4	7	on	on	ADP
fcis-1497	4	8	graph	graph	NOUN
fcis-1497	4	9	network	network	NOUN
fcis-1497	4	10	usually	usually	ADV
fcis-1497	4	11	only	only	ADV
fcis-1497	4	12	uses	use	VERB
fcis-1497	4	13	the	the	DET
fcis-1497	4	14	interactive	interactive	ADJ
fcis-1497	4	15	relationship	relationship	NOUN
fcis-1497	4	16	between	between	ADP
fcis-1497	4	17	users	user	NOUN
fcis-1497	4	18	and	and	CCONJ
fcis-1497	4	19	items	item	NOUN
fcis-1497	4	20	,	,	PUNCT
fcis-1497	4	21	and	and	CCONJ
fcis-1497	4	22	their	their	PRON
fcis-1497	4	23	feature	feature	NOUN
fcis-1497	4	24	information	information	NOUN
fcis-1497	4	25	is	be	AUX
fcis-1497	4	26	often	often	ADV
fcis-1497	4	27	not	not	PART
fcis-1497	4	28	used	use	VERB
fcis-1497	4	29	effectively	effectively	ADV
fcis-1497	4	30	.	.	PUNCT
fcis-1497	5	1	in	in	ADP
fcis-1497	5	2	this	this	DET
fcis-1497	5	3	work	work	NOUN
fcis-1497	5	4	,	,	PUNCT
fcis-1497	5	5	we	we	PRON
fcis-1497	5	6	combine	combine	VERB
fcis-1497	5	7	the	the	DET
fcis-1497	5	8	use	use	NOUN
fcis-1497	5	9	of	of	ADP
fcis-1497	5	10	feature	feature	NOUN
fcis-1497	5	11	information	information	NOUN
fcis-1497	5	12	with	with	ADP
fcis-1497	5	13	graph	graph	NOUN
fcis-1497	5	14	convolutional	convolutional	ADJ
fcis-1497	5	15	network	network	NOUN
fcis-1497	5	16	to	to	PART
fcis-1497	5	17	design	design	VERB
fcis-1497	5	18	a	a	DET
fcis-1497	5	19	new	new	ADJ
fcis-1497	5	20	recommendation	recommendation	NOUN
fcis-1497	5	21	algorithm	algorithm	NOUN
fcis-1497	5	22	,	,	PUNCT
fcis-1497	5	23	graph	graph	NOUN
fcis-1497	5	24	convolution	convolution	NOUN
fcis-1497	5	25	network	network	NOUN
fcis-1497	5	26	recommender	recommender	NOUN
fcis-1497	5	27	system	system	NOUN
fcis-1497	5	28	with	with	ADP
fcis-1497	5	29	feature	feature	NOUN
fcis-1497	5	30	embedding	embed	VERB
fcis-1497	5	31	,	,	PUNCT
fcis-1497	5	32	gcnfe	gcnfe	NOUN
fcis-1497	5	33	.	.	PUNCT
fcis-1497	6	1	tests	test	NOUN
fcis-1497	6	2	on	on	ADP
fcis-1497	6	3	the	the	DET
fcis-1497	6	4	movie	movie	NOUN
fcis-1497	6	5	lens	lens	NOUN
fcis-1497	6	6	and	and	CCONJ
fcis-1497	6	7	last	last	ADJ
fcis-1497	6	8	-	-	PUNCT
fcis-1497	6	9	fm	fm	NOUN
fcis-1497	6	10	datasets	dataset	NOUN
fcis-1497	6	11	show	show	VERB
fcis-1497	6	12	that	that	SCONJ
fcis-1497	6	13	the	the	DET
fcis-1497	6	14	new	new	ADJ
fcis-1497	6	15	model	model	NOUN
fcis-1497	6	16	performs	perform	VERB
fcis-1497	6	17	better	well	ADJ
fcis-1497	6	18	than	than	ADP
fcis-1497	6	19	previous	previous	ADJ
fcis-1497	6	20	models	model	NOUN
fcis-1497	6	21	in	in	ADP
fcis-1497	6	22	most	most	ADJ
fcis-1497	6	23	cases	case	NOUN
fcis-1497	6	24	.	.	PUNCT
fcis-1497	7	1	keywords	keyword	NOUN
fcis-1497	7	2	:	:	PUNCT
fcis-1497	7	3	graph	graph	VERB
fcis-1497	7	4	neural	neural	ADJ
fcis-1497	7	5	network	network	NOUN
fcis-1497	7	6	;	;	PUNCT
fcis-1497	7	7	recommender	recommender	NOUN
fcis-1497	7	8	system	system	NOUN
fcis-1497	7	9	;	;	PUNCT
fcis-1497	7	10	collaborative	collaborative	ADJ
fcis-1497	7	11	filtering	filtering	NOUN
fcis-1497	7	12	.	.	PUNCT
fcis-1497	8	1	1	1	X
fcis-1497	8	2	.	.	X
fcis-1497	8	3	introduction	introduction	NOUN
fcis-1497	8	4	with	with	ADP
fcis-1497	8	5	the	the	DET
fcis-1497	8	6	rapid	rapid	ADJ
fcis-1497	8	7	development	development	NOUN
fcis-1497	8	8	of	of	ADP
fcis-1497	8	9	the	the	DET
fcis-1497	8	10	internet	internet	NOUN
fcis-1497	8	11	era	era	NOUN
fcis-1497	8	12	,	,	PUNCT
fcis-1497	8	13	information	information	NOUN
fcis-1497	8	14	technology	technology	NOUN
fcis-1497	8	15	not	not	PART
fcis-1497	8	16	only	only	ADV
fcis-1497	8	17	brings	bring	VERB
fcis-1497	8	18	convenience	convenience	NOUN
fcis-1497	8	19	to	to	ADP
fcis-1497	8	20	people	people	NOUN
fcis-1497	8	21	,	,	PUNCT
fcis-1497	8	22	but	but	CCONJ
fcis-1497	8	23	also	also	ADV
fcis-1497	8	24	brings	bring	VERB
fcis-1497	8	25	some	some	DET
fcis-1497	8	26	troubles	trouble	NOUN
fcis-1497	8	27	to	to	ADP
fcis-1497	8	28	people	people	NOUN
fcis-1497	8	29	's	's	PART
fcis-1497	8	30	life	life	NOUN
fcis-1497	8	31	,	,	PUNCT
fcis-1497	8	32	especially	especially	ADV
fcis-1497	8	33	the	the	DET
fcis-1497	8	34	information	information	NOUN
fcis-1497	8	35	overload	overload	NOUN
fcis-1497	8	36	caused	cause	VERB
fcis-1497	8	37	by	by	ADP
fcis-1497	8	38	data	datum	NOUN
fcis-1497	8	39	explosion	explosion	NOUN
fcis-1497	8	40	.	.	PUNCT
fcis-1497	9	1	as	as	ADP
fcis-1497	9	2	an	an	DET
fcis-1497	9	3	information	information	NOUN
fcis-1497	9	4	filtering	filter	VERB
fcis-1497	9	5	system	system	NOUN
fcis-1497	9	6	,	,	PUNCT
fcis-1497	9	7	recommender	recommender	NOUN
fcis-1497	9	8	system	system	NOUN
fcis-1497	9	9	can	can	AUX
fcis-1497	9	10	not	not	PART
fcis-1497	9	11	only	only	ADV
fcis-1497	9	12	effectively	effectively	ADV
fcis-1497	9	13	solve	solve	VERB
fcis-1497	9	14	the	the	DET
fcis-1497	9	15	problem	problem	NOUN
fcis-1497	9	16	of	of	ADP
fcis-1497	9	17	information	information	NOUN
fcis-1497	9	18	overload	overload	NOUN
fcis-1497	9	19	,	,	PUNCT
fcis-1497	9	20	but	but	CCONJ
fcis-1497	9	21	also	also	ADV
fcis-1497	9	22	has	have	VERB
fcis-1497	9	23	certain	certain	ADJ
fcis-1497	9	24	practical	practical	ADJ
fcis-1497	9	25	significance	significance	NOUN
fcis-1497	9	26	for	for	ADP
fcis-1497	9	27	promoting	promote	VERB
fcis-1497	9	28	production	production	NOUN
fcis-1497	9	29	and	and	CCONJ
fcis-1497	9	30	improving	improve	VERB
fcis-1497	9	31	the	the	DET
fcis-1497	9	32	quality	quality	NOUN
fcis-1497	9	33	of	of	ADP
fcis-1497	9	34	life	life	NOUN
fcis-1497	9	35	.	.	PUNCT
fcis-1497	10	1	the	the	DET
fcis-1497	10	2	recommender	recommender	NOUN
fcis-1497	10	3	system	system	NOUN
fcis-1497	10	4	realizes	realize	VERB
fcis-1497	10	5	user	user	NOUN
fcis-1497	10	6	group	group	NOUN
fcis-1497	10	7	feature	feature	NOUN
fcis-1497	10	8	matching	match	VERB
fcis-1497	10	9	by	by	ADP
fcis-1497	10	10	learning	learn	VERB
fcis-1497	10	11	large	large	ADJ
fcis-1497	10	12	-	-	PUNCT
fcis-1497	10	13	scale	scale	NOUN
fcis-1497	10	14	group	group	NOUN
fcis-1497	10	15	data	datum	NOUN
fcis-1497	10	16	,	,	PUNCT
fcis-1497	10	17	so	so	SCONJ
fcis-1497	10	18	as	as	SCONJ
fcis-1497	10	19	to	to	PART
fcis-1497	10	20	help	help	VERB
fcis-1497	10	21	users	user	NOUN
fcis-1497	10	22	effectively	effectively	ADV
fcis-1497	10	23	identify	identify	VERB
fcis-1497	10	24	the	the	DET
fcis-1497	10	25	content	content	NOUN
fcis-1497	10	26	of	of	ADP
fcis-1497	10	27	interest	interest	NOUN
fcis-1497	10	28	from	from	ADP
fcis-1497	10	29	massive	massive	ADJ
fcis-1497	10	30	data	datum	NOUN
fcis-1497	10	31	[	[	X
fcis-1497	10	32	2	2	NUM
fcis-1497	10	33	]	]	PUNCT
fcis-1497	10	34	.	.	PUNCT
fcis-1497	11	1	these	these	DET
fcis-1497	11	2	days	day	NOUN
fcis-1497	11	3	,	,	PUNCT
fcis-1497	11	4	web	web	NOUN
fcis-1497	11	5	applications	application	NOUN
fcis-1497	11	6	including	include	VERB
fcis-1497	11	7	social	social	ADJ
fcis-1497	11	8	software	software	NOUN
fcis-1497	11	9	,	,	PUNCT
fcis-1497	11	10	ecommerce	ecommerce	NOUN
fcis-1497	11	11	,	,	PUNCT
fcis-1497	11	12	search	search	NOUN
fcis-1497	11	13	engines	engine	NOUN
fcis-1497	11	14	,	,	PUNCT
fcis-1497	11	15	news	news	NOUN
fcis-1497	11	16	portals	portal	NOUN
fcis-1497	11	17	,	,	PUNCT
fcis-1497	11	18	etc	etc	X
fcis-1497	11	19	.	.	X
fcis-1497	11	20	almost	almost	ADV
fcis-1497	11	21	every	every	PRON
fcis-1497	11	22	service	service	NOUN
fcis-1497	11	23	that	that	PRON
fcis-1497	11	24	provides	provide	VERB
fcis-1497	11	25	content	content	NOUN
fcis-1497	11	26	to	to	ADP
fcis-1497	11	27	users	user	NOUN
fcis-1497	11	28	is	be	AUX
fcis-1497	11	29	equipped	equip	VERB
fcis-1497	11	30	with	with	ADP
fcis-1497	11	31	a	a	DET
fcis-1497	11	32	recommender	recommender	NOUN
fcis-1497	11	33	system	system	NOUN
fcis-1497	11	34	.	.	PUNCT
fcis-1497	12	1	the	the	DET
fcis-1497	12	2	core	core	PROPN
fcis-1497	12	3	task	task	NOUN
fcis-1497	12	4	of	of	ADP
fcis-1497	12	5	recommender	recommender	NOUN
fcis-1497	12	6	system	system	NOUN
fcis-1497	12	7	is	be	AUX
fcis-1497	12	8	to	to	PART
fcis-1497	12	9	predict	predict	VERB
fcis-1497	12	10	whether	whether	SCONJ
fcis-1497	12	11	the	the	DET
fcis-1497	12	12	user	user	NOUN
fcis-1497	12	13	will	will	AUX
fcis-1497	12	14	interact	interact	VERB
fcis-1497	12	15	with	with	ADP
fcis-1497	12	16	the	the	DET
fcis-1497	12	17	item	item	NOUN
fcis-1497	12	18	,	,	PUNCT
fcis-1497	12	19	so	so	SCONJ
fcis-1497	12	20	as	as	SCONJ
fcis-1497	12	21	to	to	PART
fcis-1497	12	22	provide	provide	VERB
fcis-1497	12	23	the	the	DET
fcis-1497	12	24	item	item	NOUN
fcis-1497	12	25	more	more	ADV
fcis-1497	12	26	in	in	ADP
fcis-1497	12	27	line	line	NOUN
fcis-1497	12	28	with	with	ADP
fcis-1497	12	29	the	the	DET
fcis-1497	12	30	user	user	NOUN
fcis-1497	12	31	's	's	PART
fcis-1497	12	32	preference	preference	NOUN
fcis-1497	12	33	to	to	ADP
fcis-1497	12	34	the	the	DET
fcis-1497	12	35	user	user	NOUN
fcis-1497	12	36	.	.	PUNCT
fcis-1497	13	1	as	as	ADP
fcis-1497	13	2	such	such	ADJ
fcis-1497	13	3	,	,	PUNCT
fcis-1497	13	4	collaborative	collaborative	ADJ
fcis-1497	13	5	filtering	filtering	NOUN
fcis-1497	13	6	(	(	PUNCT
fcis-1497	13	7	cf	cf	NOUN
fcis-1497	13	8	)	)	PUNCT
fcis-1497	13	9	,	,	PUNCT
fcis-1497	13	10	which	which	PRON
fcis-1497	13	11	focuses	focus	VERB
fcis-1497	13	12	on	on	ADP
fcis-1497	13	13	exploiting	exploit	VERB
fcis-1497	13	14	the	the	DET
fcis-1497	13	15	past	past	ADJ
fcis-1497	13	16	user	user	NOUN
fcis-1497	13	17	-	-	PUNCT
fcis-1497	13	18	item	item	NOUN
fcis-1497	13	19	interactions	interaction	NOUN
fcis-1497	13	20	to	to	PART
fcis-1497	13	21	achieve	achieve	VERB
fcis-1497	13	22	the	the	DET
fcis-1497	13	23	prediction	prediction	NOUN
fcis-1497	13	24	,	,	PUNCT
fcis-1497	13	25	remains	remain	VERB
fcis-1497	13	26	to	to	PART
fcis-1497	13	27	be	be	AUX
fcis-1497	13	28	a	a	DET
fcis-1497	13	29	fundamental	fundamental	ADJ
fcis-1497	13	30	task	task	NOUN
fcis-1497	13	31	towards	towards	ADP
fcis-1497	13	32	effective	effective	ADJ
fcis-1497	13	33	personalized	personalized	ADJ
fcis-1497	13	34	recommendation	recommendation	NOUN
fcis-1497	13	35	.	.	PUNCT
fcis-1497	14	1	such	such	DET
fcis-1497	14	2	a	a	DET
fcis-1497	14	3	recommender	recommender	NOUN
fcis-1497	14	4	system	system	NOUN
fcis-1497	14	5	generally	generally	ADV
fcis-1497	14	6	finds	find	VERB
fcis-1497	14	7	users	user	NOUN
fcis-1497	14	8	who	who	PRON
fcis-1497	14	9	are	be	AUX
fcis-1497	14	10	similar	similar	ADJ
fcis-1497	14	11	to	to	ADP
fcis-1497	14	12	the	the	DET
fcis-1497	14	13	target	target	NOUN
fcis-1497	14	14	user	user	NOUN
fcis-1497	14	15	by	by	ADP
fcis-1497	14	16	learning	learn	VERB
fcis-1497	14	17	the	the	DET
fcis-1497	14	18	interaction	interaction	NOUN
fcis-1497	14	19	records	record	NOUN
fcis-1497	14	20	between	between	ADP
fcis-1497	14	21	users	user	NOUN
fcis-1497	14	22	and	and	CCONJ
fcis-1497	14	23	items	item	NOUN
fcis-1497	14	24	,	,	PUNCT
fcis-1497	14	25	and	and	CCONJ
fcis-1497	14	26	looks	look	VERB
fcis-1497	14	27	for	for	ADP
fcis-1497	14	28	items	item	NOUN
fcis-1497	14	29	that	that	PRON
fcis-1497	14	30	the	the	DET
fcis-1497	14	31	target	target	NOUN
fcis-1497	14	32	user	user	NOUN
fcis-1497	14	33	may	may	AUX
fcis-1497	14	34	be	be	AUX
fcis-1497	14	35	interested	interested	ADJ
fcis-1497	14	36	in	in	ADP
fcis-1497	14	37	from	from	ADP
fcis-1497	14	38	their	their	PRON
fcis-1497	14	39	interaction	interaction	NOUN
fcis-1497	14	40	records	record	NOUN
fcis-1497	14	41	.	.	PUNCT
fcis-1497	15	1	graph	graph	VERB
fcis-1497	15	2	neural	neural	ADJ
fcis-1497	15	3	network	network	NOUN
fcis-1497	15	4	(	(	PUNCT
fcis-1497	15	5	gnn	gnn	PROPN
fcis-1497	15	6	)	)	PUNCT
fcis-1497	15	7	is	be	AUX
fcis-1497	15	8	an	an	DET
fcis-1497	15	9	emerging	emerge	VERB
fcis-1497	15	10	framework	framework	NOUN
fcis-1497	15	11	that	that	PRON
fcis-1497	15	12	uses	use	VERB
fcis-1497	15	13	deep	deep	ADJ
fcis-1497	15	14	learning	learning	NOUN
fcis-1497	15	15	to	to	PART
fcis-1497	15	16	directly	directly	ADV
fcis-1497	15	17	learn	learn	VERB
fcis-1497	15	18	graph	graph	NOUN
fcis-1497	15	19	structure	structure	NOUN
fcis-1497	15	20	data	datum	NOUN
fcis-1497	15	21	in	in	ADP
fcis-1497	15	22	recent	recent	ADJ
fcis-1497	15	23	years	year	NOUN
fcis-1497	15	24	.	.	PUNCT
fcis-1497	16	1	its	its	PRON
fcis-1497	16	2	excellent	excellent	ADJ
fcis-1497	16	3	performance	performance	NOUN
fcis-1497	16	4	has	have	AUX
fcis-1497	16	5	attracted	attract	VERB
fcis-1497	16	6	scholars	scholar	NOUN
fcis-1497	16	7	'	'	PART
fcis-1497	16	8	high	high	ADJ
fcis-1497	16	9	attention	attention	NOUN
fcis-1497	16	10	and	and	CCONJ
fcis-1497	16	11	in	in	ADP
fcis-1497	16	12	-	-	PUNCT
fcis-1497	16	13	depth	depth	NOUN
fcis-1497	16	14	exploration	exploration	NOUN
fcis-1497	16	15	.	.	PUNCT
fcis-1497	17	1	by	by	ADP
fcis-1497	17	2	formulating	formulate	VERB
fcis-1497	17	3	certain	certain	ADJ
fcis-1497	17	4	strategies	strategy	NOUN
fcis-1497	17	5	on	on	ADP
fcis-1497	17	6	the	the	DET
fcis-1497	17	7	nodes	node	NOUN
fcis-1497	17	8	and	and	CCONJ
fcis-1497	17	9	edges	edge	NOUN
fcis-1497	17	10	of	of	ADP
fcis-1497	17	11	the	the	DET
fcis-1497	17	12	graph	graph	NOUN
fcis-1497	17	13	,	,	PUNCT
fcis-1497	17	14	gnn	gnn	PROPN
fcis-1497	17	15	transforms	transform	VERB
fcis-1497	17	16	the	the	DET
fcis-1497	17	17	graph	graph	NOUN
fcis-1497	17	18	structure	structure	NOUN
fcis-1497	17	19	data	datum	NOUN
fcis-1497	17	20	into	into	ADP
fcis-1497	17	21	a	a	DET
fcis-1497	17	22	normative	normative	ADJ
fcis-1497	17	23	and	and	CCONJ
fcis-1497	17	24	standard	standard	ADJ
fcis-1497	17	25	representation	representation	NOUN
fcis-1497	17	26	,	,	PUNCT
fcis-1497	17	27	and	and	CCONJ
fcis-1497	17	28	inputs	input	VERB
fcis-1497	17	29	it	it	PRON
fcis-1497	17	30	into	into	ADP
fcis-1497	17	31	a	a	DET
fcis-1497	17	32	variety	variety	NOUN
fcis-1497	17	33	of	of	ADP
fcis-1497	17	34	different	different	ADJ
fcis-1497	17	35	neural	neural	ADJ
fcis-1497	17	36	networks	network	NOUN
fcis-1497	17	37	for	for	ADP
fcis-1497	17	38	training	training	NOUN
fcis-1497	17	39	.	.	PUNCT
fcis-1497	18	1	it	it	PRON
fcis-1497	18	2	has	have	AUX
fcis-1497	18	3	achieved	achieve	VERB
fcis-1497	18	4	excellent	excellent	ADJ
fcis-1497	18	5	results	result	NOUN
fcis-1497	18	6	in	in	ADP
fcis-1497	18	7	such	such	ADJ
fcis-1497	18	8	tasks	task	NOUN
fcis-1497	18	9	as	as	ADP
fcis-1497	18	10	node	node	ADJ
fcis-1497	18	11	classification	classification	NOUN
fcis-1497	18	12	,	,	PUNCT
fcis-1497	18	13	edge	edge	VERB
fcis-1497	18	14	information	information	NOUN
fcis-1497	18	15	dissemination	dissemination	NOUN
fcis-1497	18	16	and	and	CCONJ
fcis-1497	18	17	graph	graph	NOUN
fcis-1497	18	18	clustering	clustering	NOUN
fcis-1497	18	19	.	.	PUNCT
fcis-1497	19	1	in	in	ADP
fcis-1497	19	2	recent	recent	ADJ
fcis-1497	19	3	years	year	NOUN
fcis-1497	19	4	,	,	PUNCT
fcis-1497	19	5	gnn	gnn	PROPN
fcis-1497	19	6	has	have	AUX
fcis-1497	19	7	demonstrated	demonstrate	VERB
fcis-1497	19	8	its	its	PRON
fcis-1497	19	9	potential	potential	NOUN
fcis-1497	19	10	in	in	ADP
fcis-1497	19	11	the	the	DET
fcis-1497	19	12	field	field	NOUN
fcis-1497	19	13	of	of	ADP
fcis-1497	19	14	recommendation	recommendation	NOUN
fcis-1497	19	15	,	,	PUNCT
fcis-1497	19	16	graph	graph	NOUN
fcis-1497	19	17	neural	neural	ADJ
fcis-1497	19	18	networks	network	NOUN
fcis-1497	19	19	have	have	AUX
fcis-1497	19	20	become	become	VERB
fcis-1497	19	21	the	the	DET
fcis-1497	19	22	new	new	ADJ
fcis-1497	19	23	state	state	NOUN
fcis-1497	19	24	-	-	PUNCT
fcis-1497	19	25	of	of	ADP
fcis-1497	19	26	-	-	PUNCT
fcis-1497	19	27	the	the	DET
fcis-1497	19	28	-	-	PUNCT
fcis-1497	19	29	art	art	NOUN
fcis-1497	19	30	approach	approach	NOUN
fcis-1497	19	31	of	of	ADP
fcis-1497	19	32	recommender	recommender	NOUN
fcis-1497	19	33	systems	system	NOUN
fcis-1497	19	34	.	.	PUNCT
fcis-1497	20	1	in	in	ADP
fcis-1497	20	2	this	this	DET
fcis-1497	20	3	paper	paper	NOUN
fcis-1497	20	4	,	,	PUNCT
fcis-1497	20	5	we	we	PRON
fcis-1497	20	6	design	design	VERB
fcis-1497	20	7	a	a	DET
fcis-1497	20	8	collaborative	collaborative	ADJ
fcis-1497	20	9	filtering	filtering	NOUN
fcis-1497	20	10	recommendation	recommendation	NOUN
fcis-1497	20	11	model	model	NOUN
fcis-1497	20	12	based	base	VERB
fcis-1497	20	13	on	on	ADP
fcis-1497	20	14	graph	graph	NOUN
fcis-1497	20	15	neural	neural	ADJ
fcis-1497	20	16	network	network	NOUN
fcis-1497	20	17	,	,	PUNCT
fcis-1497	20	18	and	and	CCONJ
fcis-1497	20	19	integrate	integrate	VERB
fcis-1497	20	20	feature	feature	NOUN
fcis-1497	20	21	information	information	NOUN
fcis-1497	20	22	into	into	ADP
fcis-1497	20	23	the	the	DET
fcis-1497	20	24	user	user	NOUN
fcis-1497	20	25	embedding	embed	VERB
fcis-1497	20	26	,	,	PUNCT
fcis-1497	20	27	so	so	SCONJ
fcis-1497	20	28	as	as	SCONJ
fcis-1497	20	29	to	to	PART
fcis-1497	20	30	obtain	obtain	VERB
fcis-1497	20	31	better	well	ADJ
fcis-1497	20	32	results	result	NOUN
fcis-1497	20	33	.	.	PUNCT
fcis-1497	21	1	2	2	X
fcis-1497	21	2	.	.	X
fcis-1497	21	3	related	relate	VERB
fcis-1497	21	4	work	work	NOUN
fcis-1497	21	5	generally	generally	ADV
fcis-1497	21	6	speaking	speak	VERB
fcis-1497	21	7	,	,	PUNCT
fcis-1497	21	8	collaborative	collaborative	ADJ
fcis-1497	21	9	filtering	filtering	NOUN
fcis-1497	21	10	recommender	recommender	NOUN
fcis-1497	21	11	systems	system	NOUN
fcis-1497	21	12	have	have	VERB
fcis-1497	21	13	two	two	NUM
fcis-1497	21	14	ways	way	NOUN
fcis-1497	21	15	to	to	PART
fcis-1497	21	16	calculate	calculate	VERB
fcis-1497	21	17	the	the	DET
fcis-1497	21	18	similarity	similarity	NOUN
fcis-1497	21	19	between	between	ADP
fcis-1497	21	20	users	user	NOUN
fcis-1497	21	21	and	and	CCONJ
fcis-1497	21	22	items	item	NOUN
fcis-1497	21	23	.	.	PUNCT
fcis-1497	22	1	one	one	NUM
fcis-1497	22	2	is	be	AUX
fcis-1497	22	3	through	through	ADP
fcis-1497	22	4	the	the	DET
fcis-1497	22	5	characteristics	characteristic	NOUN
fcis-1497	22	6	and	and	CCONJ
fcis-1497	22	7	labels	label	NOUN
fcis-1497	22	8	of	of	ADP
fcis-1497	22	9	users	user	NOUN
fcis-1497	22	10	or	or	CCONJ
fcis-1497	22	11	items	item	NOUN
fcis-1497	22	12	themselves	themselves	PRON
fcis-1497	22	13	,	,	PUNCT
fcis-1497	22	14	and	and	CCONJ
fcis-1497	22	15	the	the	DET
fcis-1497	22	16	other	other	ADJ
fcis-1497	22	17	is	be	AUX
fcis-1497	22	18	through	through	ADP
fcis-1497	22	19	their	their	PRON
fcis-1497	22	20	interaction	interaction	NOUN
fcis-1497	22	21	records	record	NOUN
fcis-1497	22	22	.	.	PUNCT
fcis-1497	23	1	classical	classical	ADJ
fcis-1497	23	2	models	model	NOUN
fcis-1497	23	3	using	use	VERB
fcis-1497	23	4	the	the	DET
fcis-1497	23	5	first	first	ADJ
fcis-1497	23	6	method	method	NOUN
fcis-1497	23	7	include	include	VERB
fcis-1497	23	8	factorization	factorization	NOUN
fcis-1497	23	9	machines	machine	NOUN
fcis-1497	23	10	(	(	PUNCT
fcis-1497	23	11	fm	fm	NOUN
fcis-1497	23	12	)	)	PUNCT
fcis-1497	24	1	[	[	X
fcis-1497	24	2	3	3	NUM
fcis-1497	24	3	]	]	PUNCT
fcis-1497	24	4	,	,	PUNCT
fcis-1497	24	5	neural	neural	ADJ
fcis-1497	24	6	fm(nfm)[4	fm(nfm)[4	NOUN
fcis-1497	24	7	]	]	PUNCT
fcis-1497	24	8	,	,	PUNCT
fcis-1497	24	9	logistic	logistic	ADJ
fcis-1497	24	10	regression(lr)[5	regression(lr)[5	PROPN
fcis-1497	24	11	]	]	PUNCT
fcis-1497	24	12	and	and	CCONJ
fcis-1497	24	13	so	so	ADV
fcis-1497	24	14	on	on	ADV
fcis-1497	24	15	.	.	PUNCT
fcis-1497	25	1	lr	lr	PROPN
fcis-1497	25	2	converts	convert	NOUN
fcis-1497	25	3	the	the	DET
fcis-1497	25	4	recommended	recommend	VERB
fcis-1497	25	5	problem	problem	NOUN
fcis-1497	25	6	into	into	ADP
fcis-1497	25	7	a	a	DET
fcis-1497	25	8	dichotomous	dichotomous	ADJ
fcis-1497	25	9	classification	classification	NOUN
fcis-1497	25	10	problem	problem	NOUN
fcis-1497	25	11	similar	similar	ADJ
fcis-1497	25	12	to	to	PART
fcis-1497	25	13	click	click	VERB
fcis-1497	25	14	-	-	PUNCT
fcis-1497	25	15	through	through	ADP
fcis-1497	25	16	-	-	PUNCT
fcis-1497	25	17	rate	rate	NOUN
fcis-1497	25	18	prediction	prediction	NOUN
fcis-1497	25	19	(	(	PUNCT
fcis-1497	25	20	ctr	ctr	PROPN
fcis-1497	25	21	prediction	prediction	PROPN
fcis-1497	25	22	)	)	PUNCT
fcis-1497	25	23	,	,	PUNCT
fcis-1497	25	24	converts	convert	VERB
fcis-1497	25	25	various	various	ADJ
fcis-1497	25	26	features	feature	NOUN
fcis-1497	25	27	into	into	ADP
fcis-1497	25	28	feature	feature	NOUN
fcis-1497	25	29	vectors	vector	NOUN
fcis-1497	25	30	,	,	PUNCT
fcis-1497	25	31	and	and	CCONJ
fcis-1497	25	32	inputs	input	VERB
fcis-1497	25	33	the	the	DET
fcis-1497	25	34	logistic	logistic	ADJ
fcis-1497	25	35	regression	regression	NOUN
fcis-1497	25	36	model	model	NOUN
fcis-1497	25	37	to	to	PART
fcis-1497	25	38	obtain	obtain	VERB
fcis-1497	25	39	a	a	DET
fcis-1497	25	40	predicted	predict	VERB
fcis-1497	25	41	ctr	ctr	PROPN
fcis-1497	25	42	.	.	PUNCT
fcis-1497	26	1	then	then	ADV
fcis-1497	26	2	it	it	PRON
fcis-1497	26	3	sorts	sort	VERB
fcis-1497	26	4	the	the	DET
fcis-1497	26	5	results	result	NOUN
fcis-1497	26	6	according	accord	VERB
fcis-1497	26	7	to	to	ADP
fcis-1497	26	8	the	the	DET
fcis-1497	26	9	predicted	predict	VERB
fcis-1497	26	10	ctr	ctr	PROPN
fcis-1497	26	11	.	.	PUNCT
fcis-1497	27	1	on	on	ADP
fcis-1497	27	2	the	the	DET
fcis-1497	27	3	basis	basis	NOUN
fcis-1497	27	4	of	of	ADP
fcis-1497	27	5	lr	lr	PROPN
fcis-1497	27	6	,	,	PUNCT
fcis-1497	27	7	fm	fm	PROPN
fcis-1497	27	8	model	model	NOUN
fcis-1497	27	9	adds	add	VERB
fcis-1497	27	10	the	the	DET
fcis-1497	27	11	crossover	crossover	NOUN
fcis-1497	27	12	of	of	ADP
fcis-1497	27	13	second	second	ADJ
fcis-1497	27	14	-	-	PUNCT
fcis-1497	27	15	order	order	NOUN
fcis-1497	27	16	features	feature	NOUN
fcis-1497	27	17	into	into	ADP
fcis-1497	27	18	the	the	DET
fcis-1497	27	19	model	model	NOUN
fcis-1497	27	20	to	to	PART
fcis-1497	27	21	obtain	obtain	VERB
fcis-1497	27	22	the	the	DET
fcis-1497	27	23	hidden	hide	VERB
fcis-1497	27	24	vectors	vector	NOUN
fcis-1497	27	25	of	of	ADP
fcis-1497	27	26	corresponding	correspond	VERB
fcis-1497	27	27	features	feature	NOUN
fcis-1497	27	28	by	by	ADP
fcis-1497	27	29	training	train	VERB
fcis-1497	27	30	each	each	DET
fcis-1497	27	31	dimension	dimension	NOUN
fcis-1497	27	32	feature	feature	NOUN
fcis-1497	27	33	,	,	PUNCT
fcis-1497	27	34	and	and	CCONJ
fcis-1497	27	35	the	the	DET
fcis-1497	27	36	weight	weight	NOUN
fcis-1497	27	37	of	of	ADP
fcis-1497	27	38	features	feature	NOUN
fcis-1497	27	39	is	be	AUX
fcis-1497	27	40	obtained	obtain	VERB
fcis-1497	27	41	by	by	ADP
fcis-1497	27	42	inner	inner	ADJ
fcis-1497	27	43	product	product	NOUN
fcis-1497	27	44	operation	operation	NOUN
fcis-1497	27	45	between	between	ADP
fcis-1497	27	46	hidden	hide	VERB
fcis-1497	27	47	vectors	vector	NOUN
fcis-1497	27	48	.	.	PUNCT
fcis-1497	28	1	nfm	nfm	PROPN
fcis-1497	28	2	uses	use	VERB
fcis-1497	28	3	neural	neural	ADJ
fcis-1497	28	4	networks	network	NOUN
fcis-1497	28	5	to	to	PART
fcis-1497	28	6	replace	replace	VERB
fcis-1497	28	7	the	the	DET
fcis-1497	28	8	second	second	ADJ
fcis-1497	28	9	-	-	PUNCT
fcis-1497	28	10	order	order	NOUN
fcis-1497	28	11	implicit	implicit	ADJ
fcis-1497	28	12	vector	vector	NOUN
fcis-1497	28	13	crossover	crossover	NOUN
fcis-1497	28	14	operation	operation	NOUN
fcis-1497	28	15	in	in	ADP
fcis-1497	28	16	fm	fm	PROPN
fcis-1497	28	17	,	,	PUNCT
fcis-1497	28	18	which	which	PRON
fcis-1497	28	19	makes	make	VERB
fcis-1497	28	20	nfm	nfm	PROPN
fcis-1497	28	21	more	more	ADV
fcis-1497	28	22	expressive	expressive	ADJ
fcis-1497	28	23	.	.	PUNCT
fcis-1497	29	1	go	go	VERB
fcis-1497	29	2	without	without	ADP
fcis-1497	29	3	saying	say	VERB
fcis-1497	29	4	,	,	PUNCT
fcis-1497	29	5	these	these	DET
fcis-1497	29	6	models	model	NOUN
fcis-1497	29	7	are	be	AUX
fcis-1497	29	8	also	also	ADV
fcis-1497	29	9	often	often	ADV
fcis-1497	29	10	used	use	VERB
fcis-1497	29	11	in	in	ADP
fcis-1497	29	12	clickthrough	clickthrough	ADJ
fcis-1497	29	13	-	-	PUNCT
fcis-1497	29	14	rate	rate	NOUN
fcis-1497	29	15	prediction	prediction	NOUN
fcis-1497	29	16	tasks	task	NOUN
fcis-1497	29	17	.	.	PUNCT
fcis-1497	30	1	the	the	DET
fcis-1497	30	2	second	second	ADJ
fcis-1497	30	3	method	method	NOUN
fcis-1497	30	4	is	be	AUX
fcis-1497	30	5	the	the	DET
fcis-1497	30	6	mainstream	mainstream	NOUN
fcis-1497	30	7	of	of	ADP
fcis-1497	30	8	collaborative	collaborative	ADJ
fcis-1497	30	9	filtering	filtering	NOUN
fcis-1497	30	10	recommender	recommender	NOUN
fcis-1497	30	11	system	system	NOUN
fcis-1497	30	12	.	.	PUNCT
fcis-1497	31	1	for	for	ADP
fcis-1497	31	2	how	how	SCONJ
fcis-1497	31	3	to	to	PART
fcis-1497	31	4	calculate	calculate	VERB
fcis-1497	31	5	similarity	similarity	NOUN
fcis-1497	31	6	through	through	ADP
fcis-1497	31	7	interactive	interactive	ADJ
fcis-1497	31	8	records	record	NOUN
fcis-1497	31	9	,	,	PUNCT
fcis-1497	31	10	scholars	scholar	NOUN
fcis-1497	31	11	have	have	VERB
fcis-1497	31	12	different	different	ADJ
fcis-1497	31	13	methods	method	NOUN
fcis-1497	31	14	,	,	PUNCT
fcis-1497	31	15	such	such	ADJ
fcis-1497	31	16	as	as	ADP
fcis-1497	31	17	clustering	cluster	VERB
fcis-1497	31	18	[	[	X
fcis-1497	31	19	6	6	NUM
fcis-1497	31	20	]	]	PUNCT
fcis-1497	31	21	,	,	PUNCT
fcis-1497	31	22	markov	markov	NOUN
fcis-1497	31	23	decision	decision	NOUN
fcis-1497	31	24	processes	process	NOUN
fcis-1497	31	25	(	(	PUNCT
fcis-1497	31	26	mdp	mdp	NOUN
fcis-1497	31	27	)	)	PUNCT
fcis-1497	32	1	[	[	X
fcis-1497	32	2	7	7	NUM
fcis-1497	32	3	]	]	PUNCT
fcis-1497	32	4	,	,	PUNCT
fcis-1497	32	5	matrix	matrix	NOUN
fcis-1497	32	6	factorization	factorization	NOUN
fcis-1497	32	7	[	[	X
fcis-1497	32	8	8	8	NUM
fcis-1497	32	9	]	]	PUNCT
fcis-1497	32	10	and	and	CCONJ
fcis-1497	32	11	so	so	ADV
fcis-1497	32	12	on	on	ADV
fcis-1497	32	13	.	.	PUNCT
fcis-1497	33	1	in	in	ADP
fcis-1497	33	2	the	the	DET
fcis-1497	33	3	graph	graph	NOUN
fcis-1497	33	4	network	network	NOUN
fcis-1497	33	5	recommender	recommender	NOUN
fcis-1497	33	6	system	system	NOUN
fcis-1497	33	7	,	,	PUNCT
fcis-1497	33	8	the	the	DET
fcis-1497	33	9	mainstream	mainstream	NOUN
fcis-1497	33	10	method	method	NOUN
fcis-1497	33	11	is	be	AUX
fcis-1497	33	12	still	still	ADV
fcis-1497	33	13	based	base	VERB
fcis-1497	33	14	on	on	ADP
fcis-1497	33	15	matrix	matrix	NOUN
fcis-1497	33	16	factorization	factorization	NOUN
fcis-1497	33	17	to	to	PART
fcis-1497	33	18	calculate	calculate	VERB
fcis-1497	33	19	the	the	DET
fcis-1497	33	20	similarity	similarity	NOUN
fcis-1497	33	21	.	.	PUNCT
fcis-1497	34	1	the	the	DET
fcis-1497	34	2	matrix	matrix	NOUN
fcis-1497	34	3	factorization	factorization	NOUN
fcis-1497	34	4	algorithm	algorithm	NOUN
fcis-1497	34	5	generates	generate	VERB
fcis-1497	34	6	an	an	DET
fcis-1497	34	7	implicit	implicit	ADJ
fcis-1497	34	8	vector	vector	NOUN
fcis-1497	34	9	for	for	ADP
fcis-1497	34	10	each	each	DET
fcis-1497	34	11	user	user	NOUN
fcis-1497	34	12	and	and	CCONJ
fcis-1497	34	13	each	each	DET
fcis-1497	34	14	item	item	NOUN
fcis-1497	34	15	,	,	PUNCT
fcis-1497	34	16	then	then	ADV
fcis-1497	34	17	calculates	calculate	VERB
fcis-1497	34	18	the	the	DET
fcis-1497	34	19	similarity	similarity	NOUN
fcis-1497	34	20	score	score	NOUN
fcis-1497	34	21	between	between	ADP
fcis-1497	34	22	vectors	vector	NOUN
fcis-1497	34	23	of	of	ADP
fcis-1497	34	24	the	the	DET
fcis-1497	34	25	user	user	NOUN
fcis-1497	34	26	and	and	CCONJ
fcis-1497	34	27	the	the	DET
fcis-1497	34	28	candidate	candidate	NOUN
fcis-1497	34	29	items	item	NOUN
fcis-1497	34	30	,	,	PUNCT
fcis-1497	34	31	and	and	CCONJ
fcis-1497	34	32	finally	finally	ADV
fcis-1497	34	33	generates	generate	VERB
fcis-1497	34	34	the	the	DET
fcis-1497	34	35	recommendation	recommendation	NOUN
fcis-1497	34	36	list	list	NOUN
fcis-1497	34	37	from	from	ADP
fcis-1497	34	38	high	high	ADJ
fcis-1497	34	39	to	to	PART
fcis-1497	34	40	low	low	ADJ
fcis-1497	34	41	.	.	PUNCT
fcis-1497	35	1	the	the	DET
fcis-1497	35	2	implicit	implicit	ADJ
fcis-1497	35	3	vectors	vector	NOUN
fcis-1497	35	4	of	of	ADP
fcis-1497	35	5	users	user	NOUN
fcis-1497	35	6	and	and	CCONJ
fcis-1497	35	7	items	item	NOUN
fcis-1497	35	8	are	be	AUX
fcis-1497	35	9	obtained	obtain	VERB
fcis-1497	35	10	by	by	ADP
fcis-1497	35	11	decomposing	decompose	VERB
fcis-1497	35	12	user	user	NOUN
fcis-1497	35	13	-	-	PUNCT
fcis-1497	35	14	item	item	NOUN
fcis-1497	35	15	interaction	interaction	NOUN
fcis-1497	35	16	matrix	matrix	NOUN
fcis-1497	35	17	or	or	CCONJ
fcis-1497	35	18	rating	rating	NOUN
fcis-1497	35	19	matrix	matrix	NOUN
fcis-1497	35	20	.	.	PUNCT
fcis-1497	36	1	as	as	SCONJ
fcis-1497	36	2	shown	show	VERB
fcis-1497	36	3	in	in	ADP
fcis-1497	36	4	figure	figure	NOUN
fcis-1497	36	5	1	1	NUM
fcis-1497	36	6	,	,	PUNCT
fcis-1497	36	7	we	we	PRON
fcis-1497	36	8	decompose	decompose	VERB
fcis-1497	36	9	a	a	DET
fcis-1497	36	10	user	user	NOUN
fcis-1497	36	11	83	83	NUM
fcis-1497	36	12	rating	rating	NOUN
fcis-1497	36	13	matrix	matrix	NOUN
fcis-1497	36	14	into	into	ADP
fcis-1497	36	15	a	a	DET
fcis-1497	36	16	users	user	NOUN
fcis-1497	36	17	’	'	PUNCT
fcis-1497	36	18	embedding	embed	VERB
fcis-1497	36	19	matrix	matrix	NOUN
fcis-1497	36	20	and	and	CCONJ
fcis-1497	36	21	an	an	DET
fcis-1497	36	22	items	item	NOUN
fcis-1497	36	23	’	'	PUNCT
fcis-1497	36	24	embedding	embed	VERB
fcis-1497	36	25	matrix	matrix	NOUN
fcis-1497	36	26	of	of	ADP
fcis-1497	36	27	vector	vector	NOUN
fcis-1497	36	28	length	length	NOUN
fcis-1497	36	29	2	2	NUM
fcis-1497	36	30	.	.	PUNCT
fcis-1497	37	1	that	that	PRON
fcis-1497	37	2	's	be	AUX
fcis-1497	37	3	where	where	SCONJ
fcis-1497	37	4	the	the	DET
fcis-1497	37	5	name	name	NOUN
fcis-1497	37	6	matrix	matrix	NOUN
fcis-1497	37	7	factorization	factorization	NOUN
fcis-1497	37	8	comes	come	VERB
fcis-1497	37	9	from	from	ADP
fcis-1497	37	10	.	.	PUNCT
fcis-1497	38	1	figure	figure	NOUN
fcis-1497	38	2	1	1	NUM
fcis-1497	38	3	.	.	PUNCT
fcis-1497	39	1	an	an	DET
fcis-1497	39	2	illustration	illustration	NOUN
fcis-1497	39	3	of	of	ADP
fcis-1497	39	4	matrix	matrix	NOUN
fcis-1497	39	5	factorization	factorization	NOUN
fcis-1497	39	6	because	because	SCONJ
fcis-1497	39	7	gnn	gnn	PROPN
fcis-1497	39	8	contains	contain	VERB
fcis-1497	39	9	the	the	DET
fcis-1497	39	10	topological	topological	ADJ
fcis-1497	39	11	structure	structure	NOUN
fcis-1497	39	12	of	of	ADP
fcis-1497	39	13	the	the	DET
fcis-1497	39	14	data	datum	NOUN
fcis-1497	39	15	,	,	PUNCT
fcis-1497	39	16	these	these	DET
fcis-1497	39	17	structures	structure	NOUN
fcis-1497	39	18	can	can	AUX
fcis-1497	39	19	help	help	VERB
fcis-1497	39	20	the	the	DET
fcis-1497	39	21	model	model	NOUN
fcis-1497	39	22	to	to	PART
fcis-1497	39	23	generate	generate	VERB
fcis-1497	39	24	higher	high	ADJ
fcis-1497	39	25	quality	quality	NOUN
fcis-1497	39	26	hidden	hide	VERB
fcis-1497	39	27	vectors	vector	NOUN
fcis-1497	39	28	,	,	PUNCT
fcis-1497	39	29	so	so	SCONJ
fcis-1497	39	30	that	that	SCONJ
fcis-1497	39	31	the	the	DET
fcis-1497	39	32	graph	graph	NOUN
fcis-1497	39	33	network	network	NOUN
fcis-1497	39	34	recommender	recommender	NOUN
fcis-1497	39	35	system	system	NOUN
fcis-1497	39	36	(	(	PUNCT
fcis-1497	39	37	gnn	gnn	NOUN
fcis-1497	39	38	-	-	PUNCT
fcis-1497	39	39	recsys	recsy	NOUN
fcis-1497	39	40	)	)	PUNCT
fcis-1497	39	41	has	have	VERB
fcis-1497	39	42	a	a	DET
fcis-1497	39	43	better	well	ADJ
fcis-1497	39	44	effect	effect	NOUN
fcis-1497	39	45	.	.	PUNCT
fcis-1497	40	1	graph	graph	NOUN
fcis-1497	40	2	network	network	NOUN
fcis-1497	40	3	recommender	recommender	NOUN
fcis-1497	40	4	system	system	NOUN
fcis-1497	40	5	needs	need	VERB
fcis-1497	40	6	to	to	PART
fcis-1497	40	7	obtain	obtain	VERB
fcis-1497	40	8	information	information	NOUN
fcis-1497	40	9	from	from	ADP
fcis-1497	40	10	neighbor	neighbor	NOUN
fcis-1497	40	11	nodes	node	NOUN
fcis-1497	40	12	to	to	PART
fcis-1497	40	13	generate	generate	VERB
fcis-1497	40	14	hidden	hidden	ADJ
fcis-1497	40	15	vectors	vector	NOUN
fcis-1497	40	16	.	.	PUNCT
fcis-1497	41	1	when	when	SCONJ
fcis-1497	41	2	the	the	DET
fcis-1497	41	3	degree	degree	NOUN
fcis-1497	41	4	of	of	ADP
fcis-1497	41	5	a	a	DET
fcis-1497	41	6	node	node	NOUN
fcis-1497	41	7	is	be	AUX
fcis-1497	41	8	very	very	ADV
fcis-1497	41	9	high	high	ADJ
fcis-1497	41	10	,	,	PUNCT
fcis-1497	41	11	this	this	DET
fcis-1497	41	12	operation	operation	NOUN
fcis-1497	41	13	will	will	AUX
fcis-1497	41	14	require	require	VERB
fcis-1497	41	15	a	a	DET
fcis-1497	41	16	lot	lot	NOUN
fcis-1497	41	17	of	of	ADP
fcis-1497	41	18	computation	computation	NOUN
fcis-1497	41	19	,	,	PUNCT
fcis-1497	41	20	which	which	PRON
fcis-1497	41	21	makes	make	VERB
fcis-1497	41	22	it	it	PRON
fcis-1497	41	23	difficult	difficult	ADJ
fcis-1497	41	24	for	for	SCONJ
fcis-1497	41	25	the	the	DET
fcis-1497	41	26	model	model	NOUN
fcis-1497	41	27	to	to	PART
fcis-1497	41	28	obtain	obtain	VERB
fcis-1497	41	29	higher	high	ADJ
fcis-1497	41	30	-	-	PUNCT
fcis-1497	41	31	order	order	NOUN
fcis-1497	41	32	information	information	NOUN
fcis-1497	41	33	.	.	PUNCT
fcis-1497	42	1	graph	graph	NOUN
fcis-1497	42	2	-	-	PUNCT
fcis-1497	42	3	sage	sage	NOUN
fcis-1497	42	4	[	[	X
fcis-1497	42	5	9	9	NUM
fcis-1497	42	6	]	]	PUNCT
fcis-1497	42	7	solves	solve	VERB
fcis-1497	42	8	this	this	DET
fcis-1497	42	9	problem	problem	NOUN
fcis-1497	42	10	by	by	ADP
fcis-1497	42	11	randomly	randomly	ADV
fcis-1497	42	12	sampling	sample	VERB
fcis-1497	42	13	the	the	DET
fcis-1497	42	14	neighbor	neighbor	NOUN
fcis-1497	42	15	nodes	node	NOUN
fcis-1497	42	16	of	of	ADP
fcis-1497	42	17	a	a	DET
fcis-1497	42	18	node	node	NOUN
fcis-1497	42	19	,	,	PUNCT
fcis-1497	42	20	and	and	CCONJ
fcis-1497	42	21	obtains	obtain	VERB
fcis-1497	42	22	the	the	DET
fcis-1497	42	23	information	information	NOUN
fcis-1497	42	24	of	of	ADP
fcis-1497	42	25	higher	high	ADJ
fcis-1497	42	26	-	-	PUNCT
fcis-1497	42	27	order	order	NOUN
fcis-1497	42	28	neighbors	neighbor	NOUN
fcis-1497	42	29	by	by	ADP
fcis-1497	42	30	random	random	ADJ
fcis-1497	42	31	walk	walk	NOUN
fcis-1497	42	32	.	.	PUNCT
fcis-1497	43	1	ngcf[10	ngcf[10	PROPN
fcis-1497	43	2	]	]	PUNCT
fcis-1497	43	3	chooses	choose	VERB
fcis-1497	43	4	to	to	PART
fcis-1497	43	5	change	change	VERB
fcis-1497	43	6	the	the	DET
fcis-1497	43	7	aggregation	aggregation	NOUN
fcis-1497	43	8	information	information	NOUN
fcis-1497	43	9	of	of	ADP
fcis-1497	43	10	nodes	node	NOUN
fcis-1497	43	11	.	.	PUNCT
fcis-1497	44	1	each	each	DET
fcis-1497	44	2	node	node	NOUN
fcis-1497	44	3	transmits	transmit	VERB
fcis-1497	44	4	information	information	NOUN
fcis-1497	44	5	to	to	ADP
fcis-1497	44	6	its	its	PRON
fcis-1497	44	7	neighbors	neighbor	NOUN
fcis-1497	44	8	.	.	PUNCT
fcis-1497	45	1	after	after	ADP
fcis-1497	45	2	several	several	ADJ
fcis-1497	45	3	rounds	round	NOUN
fcis-1497	45	4	of	of	ADP
fcis-1497	45	5	transmission	transmission	NOUN
fcis-1497	45	6	,	,	PUNCT
fcis-1497	45	7	each	each	DET
fcis-1497	45	8	node	node	NOUN
fcis-1497	45	9	will	will	AUX
fcis-1497	45	10	have	have	VERB
fcis-1497	45	11	the	the	DET
fcis-1497	45	12	information	information	NOUN
fcis-1497	45	13	of	of	ADP
fcis-1497	45	14	its	its	PRON
fcis-1497	45	15	higher	high	ADJ
fcis-1497	45	16	-	-	PUNCT
fcis-1497	45	17	order	order	NOUN
fcis-1497	45	18	neighbors	neighbor	NOUN
fcis-1497	45	19	.	.	PUNCT
fcis-1497	46	1	the	the	DET
fcis-1497	46	2	authors	author	NOUN
fcis-1497	46	3	of	of	ADP
fcis-1497	46	4	lightgcn[11	lightgcn[11	PROPN
fcis-1497	46	5	]	]	PUNCT
fcis-1497	46	6	believe	believe	VERB
fcis-1497	46	7	that	that	SCONJ
fcis-1497	46	8	ngcf	ngcf	PROPN
fcis-1497	46	9	contains	contain	VERB
fcis-1497	46	10	too	too	ADV
fcis-1497	46	11	many	many	ADJ
fcis-1497	46	12	redundant	redundant	ADJ
fcis-1497	46	13	operations	operation	NOUN
fcis-1497	46	14	inherited	inherit	VERB
fcis-1497	46	15	from	from	ADP
fcis-1497	46	16	graph	graph	NOUN
fcis-1497	46	17	convolution	convolution	NOUN
fcis-1497	46	18	in	in	ADP
fcis-1497	46	19	the	the	DET
fcis-1497	46	20	propagation	propagation	NOUN
fcis-1497	46	21	of	of	ADP
fcis-1497	46	22	information	information	NOUN
fcis-1497	46	23	,	,	PUNCT
fcis-1497	46	24	which	which	PRON
fcis-1497	46	25	can	can	AUX
fcis-1497	46	26	achieve	achieve	VERB
fcis-1497	46	27	better	well	ADJ
fcis-1497	46	28	results	result	NOUN
fcis-1497	46	29	when	when	SCONJ
fcis-1497	46	30	these	these	DET
fcis-1497	46	31	operations	operation	NOUN
fcis-1497	46	32	are	be	AUX
fcis-1497	46	33	removed	remove	VERB
fcis-1497	46	34	.	.	PUNCT
fcis-1497	47	1	most	most	ADJ
fcis-1497	47	2	of	of	ADP
fcis-1497	47	3	these	these	DET
fcis-1497	47	4	models	model	NOUN
fcis-1497	47	5	are	be	AUX
fcis-1497	47	6	trained	train	VERB
fcis-1497	47	7	using	use	VERB
fcis-1497	47	8	only	only	ADJ
fcis-1497	47	9	historical	historical	ADJ
fcis-1497	47	10	interaction	interaction	NOUN
fcis-1497	47	11	information	information	NOUN
fcis-1497	47	12	,	,	PUNCT
fcis-1497	47	13	ignoring	ignore	VERB
fcis-1497	47	14	user	user	NOUN
fcis-1497	47	15	and	and	CCONJ
fcis-1497	47	16	project	project	NOUN
fcis-1497	47	17	characteristics	characteristic	NOUN
fcis-1497	47	18	.	.	PUNCT
fcis-1497	48	1	there	there	PRON
fcis-1497	48	2	are	be	VERB
fcis-1497	48	3	also	also	ADV
fcis-1497	48	4	scholars	scholar	NOUN
fcis-1497	48	5	trying	try	VERB
fcis-1497	48	6	to	to	PART
fcis-1497	48	7	use	use	VERB
fcis-1497	48	8	information	information	NOUN
fcis-1497	48	9	from	from	ADP
fcis-1497	48	10	users	user	NOUN
fcis-1497	48	11	and	and	CCONJ
fcis-1497	48	12	projects	project	NOUN
fcis-1497	48	13	themselves	themselves	PRON
fcis-1497	48	14	.	.	PUNCT
fcis-1497	49	1	for	for	ADP
fcis-1497	49	2	example	example	NOUN
fcis-1497	49	3	,	,	PUNCT
fcis-1497	49	4	graphrec[12	graphrec[12	PROPN
fcis-1497	49	5	]	]	PUNCT
fcis-1497	49	6	introduces	introduce	VERB
fcis-1497	49	7	the	the	DET
fcis-1497	49	8	user	user	NOUN
fcis-1497	49	9	's	's	PART
fcis-1497	49	10	social	social	ADJ
fcis-1497	49	11	network	network	NOUN
fcis-1497	49	12	graph	graph	NOUN
fcis-1497	49	13	,	,	PUNCT
fcis-1497	49	14	while	while	SCONJ
fcis-1497	49	15	kgat[13	kgat[13	PROPN
fcis-1497	49	16	]	]	PUNCT
fcis-1497	49	17	uses	use	VERB
fcis-1497	49	18	the	the	DET
fcis-1497	49	19	feature	feature	NOUN
fcis-1497	49	20	information	information	NOUN
fcis-1497	49	21	of	of	ADP
fcis-1497	49	22	some	some	DET
fcis-1497	49	23	projects	project	NOUN
fcis-1497	49	24	in	in	ADP
fcis-1497	49	25	the	the	DET
fcis-1497	49	26	form	form	NOUN
fcis-1497	49	27	of	of	ADP
fcis-1497	49	28	knowledge	knowledge	NOUN
fcis-1497	49	29	graph	graph	NOUN
fcis-1497	49	30	,	,	PUNCT
fcis-1497	49	31	but	but	CCONJ
fcis-1497	49	32	the	the	DET
fcis-1497	49	33	effect	effect	NOUN
fcis-1497	49	34	is	be	AUX
fcis-1497	49	35	not	not	PART
fcis-1497	49	36	particularly	particularly	ADV
fcis-1497	49	37	ideal	ideal	ADJ
fcis-1497	49	38	.	.	PUNCT
fcis-1497	50	1	3	3	X
fcis-1497	50	2	.	.	X
fcis-1497	50	3	model	model	NOUN
fcis-1497	50	4	considering	consider	VERB
fcis-1497	50	5	that	that	SCONJ
fcis-1497	50	6	introducing	introduce	VERB
fcis-1497	50	7	user	user	NOUN
fcis-1497	50	8	and	and	CCONJ
fcis-1497	50	9	project	project	NOUN
fcis-1497	50	10	information	information	NOUN
fcis-1497	50	11	into	into	ADP
fcis-1497	50	12	the	the	DET
fcis-1497	50	13	model	model	NOUN
fcis-1497	50	14	may	may	AUX
fcis-1497	50	15	improve	improve	VERB
fcis-1497	50	16	the	the	DET
fcis-1497	50	17	effect	effect	NOUN
fcis-1497	50	18	of	of	ADP
fcis-1497	50	19	the	the	DET
fcis-1497	50	20	model	model	NOUN
fcis-1497	50	21	,	,	PUNCT
fcis-1497	50	22	we	we	PRON
fcis-1497	50	23	propose	propose	VERB
fcis-1497	50	24	the	the	DET
fcis-1497	50	25	gcnfe	gcnfe	NOUN
fcis-1497	50	26	model	model	NOUN
fcis-1497	50	27	.	.	PUNCT
fcis-1497	51	1	similar	similar	ADJ
fcis-1497	51	2	to	to	ADP
fcis-1497	51	3	the	the	DET
fcis-1497	51	4	general	general	ADJ
fcis-1497	51	5	graph	graph	NOUN
fcis-1497	51	6	network	network	NOUN
fcis-1497	51	7	recommender	recommender	NOUN
fcis-1497	51	8	system	system	NOUN
fcis-1497	51	9	,	,	PUNCT
fcis-1497	51	10	our	our	PRON
fcis-1497	51	11	model	model	NOUN
fcis-1497	51	12	is	be	AUX
fcis-1497	51	13	also	also	ADV
fcis-1497	51	14	divided	divide	VERB
fcis-1497	51	15	into	into	ADP
fcis-1497	51	16	three	three	NUM
fcis-1497	51	17	parts	part	NOUN
fcis-1497	51	18	:	:	PUNCT
fcis-1497	51	19	embedding	embed	VERB
fcis-1497	51	20	layer	layer	NOUN
fcis-1497	51	21	,	,	PUNCT
fcis-1497	51	22	propagation	propagation	NOUN
fcis-1497	51	23	layer	layer	NOUN
fcis-1497	51	24	and	and	CCONJ
fcis-1497	51	25	prediction	prediction	NOUN
fcis-1497	51	26	layer	layer	NOUN
fcis-1497	51	27	.	.	PUNCT
fcis-1497	52	1	we	we	PRON
fcis-1497	52	2	mainly	mainly	ADV
fcis-1497	52	3	consider	consider	VERB
fcis-1497	52	4	introducing	introduce	VERB
fcis-1497	52	5	user	user	NOUN
fcis-1497	52	6	and	and	CCONJ
fcis-1497	52	7	project	project	NOUN
fcis-1497	52	8	information	information	NOUN
fcis-1497	52	9	in	in	ADP
fcis-1497	52	10	the	the	DET
fcis-1497	52	11	embedding	embed	VERB
fcis-1497	52	12	stage	stage	NOUN
fcis-1497	52	13	,	,	PUNCT
fcis-1497	52	14	and	and	CCONJ
fcis-1497	52	15	the	the	DET
fcis-1497	52	16	approximate	approximate	ADJ
fcis-1497	52	17	structure	structure	NOUN
fcis-1497	52	18	of	of	ADP
fcis-1497	52	19	the	the	DET
fcis-1497	52	20	model	model	NOUN
fcis-1497	52	21	is	be	AUX
fcis-1497	52	22	shown	show	VERB
fcis-1497	52	23	in	in	ADP
fcis-1497	52	24	figure	figure	NOUN
fcis-1497	52	25	2	2	NUM
fcis-1497	52	26	.	.	PUNCT
fcis-1497	52	27	figure	figure	NOUN
fcis-1497	52	28	2	2	NUM
fcis-1497	52	29	.	.	PUNCT
fcis-1497	53	1	an	an	DET
fcis-1497	53	2	illustration	illustration	NOUN
fcis-1497	53	3	of	of	ADP
fcis-1497	53	4	gcnfe	gcnfe	NOUN
fcis-1497	53	5	model	model	NOUN
fcis-1497	53	6	architecture	architecture	NOUN
fcis-1497	53	7	3.1	3.1	NUM
fcis-1497	53	8	.	.	PUNCT
fcis-1497	53	9	embedding	embed	VERB
fcis-1497	53	10	layer	layer	NOUN
fcis-1497	53	11	in	in	ADP
fcis-1497	53	12	the	the	DET
fcis-1497	53	13	embedding	embed	VERB
fcis-1497	53	14	layer	layer	NOUN
fcis-1497	54	1	,	,	PUNCT
fcis-1497	54	2	we	we	PRON
fcis-1497	54	3	generate	generate	VERB
fcis-1497	54	4	a	a	DET
fcis-1497	54	5	random	random	ADJ
fcis-1497	54	6	vector	vector	NOUN
fcis-1497	54	7	for	for	ADP
fcis-1497	54	8	each	each	DET
fcis-1497	54	9	user	user	NOUN
fcis-1497	54	10	and	and	CCONJ
fcis-1497	54	11	project	project	NOUN
fcis-1497	54	12	,	,	PUNCT
fcis-1497	54	13	and	and	CCONJ
fcis-1497	54	14	then	then	ADV
fcis-1497	54	15	connect	connect	VERB
fcis-1497	54	16	the	the	DET
fcis-1497	54	17	features	feature	NOUN
fcis-1497	54	18	of	of	ADP
fcis-1497	54	19	the	the	DET
fcis-1497	54	20	user	user	NOUN
fcis-1497	54	21	and	and	CCONJ
fcis-1497	54	22	project	project	NOUN
fcis-1497	54	23	with	with	ADP
fcis-1497	54	24	their	their	PRON
fcis-1497	54	25	vectors	vector	NOUN
fcis-1497	54	26	after	after	ADP
fcis-1497	54	27	one	one	NUM
fcis-1497	54	28	-	-	PUNCT
fcis-1497	54	29	hot	hot	ADJ
fcis-1497	54	30	encoding	encoding	NOUN
fcis-1497	54	31	.	.	PUNCT
fcis-1497	55	1	since	since	SCONJ
fcis-1497	55	2	the	the	DET
fcis-1497	55	3	vectors	vector	NOUN
fcis-1497	55	4	of	of	ADP
fcis-1497	55	5	users	user	NOUN
fcis-1497	55	6	and	and	CCONJ
fcis-1497	55	7	items	item	NOUN
fcis-1497	55	8	need	need	VERB
fcis-1497	55	9	to	to	PART
fcis-1497	55	10	have	have	VERB
fcis-1497	55	11	the	the	DET
fcis-1497	55	12	same	same	ADJ
fcis-1497	55	13	length	length	NOUN
fcis-1497	55	14	in	in	ADP
fcis-1497	55	15	the	the	DET
fcis-1497	55	16	final	final	ADJ
fcis-1497	55	17	prediction	prediction	NOUN
fcis-1497	55	18	layer	layer	NOUN
fcis-1497	55	19	,	,	PUNCT
fcis-1497	55	20	a	a	DET
fcis-1497	55	21	part	part	NOUN
fcis-1497	55	22	of	of	ADP
fcis-1497	55	23	their	their	PRON
fcis-1497	55	24	vectors	vector	NOUN
fcis-1497	55	25	will	will	AUX
fcis-1497	55	26	be	be	AUX
fcis-1497	55	27	used	use	VERB
fcis-1497	55	28	to	to	PART
fcis-1497	55	29	complement	complement	VERB
fcis-1497	55	30	the	the	DET
fcis-1497	55	31	length	length	NOUN
fcis-1497	55	32	,	,	PUNCT
fcis-1497	55	33	as	as	SCONJ
fcis-1497	55	34	shown	show	VERB
fcis-1497	55	35	in	in	ADP
fcis-1497	55	36	equations	equation	NOUN
fcis-1497	55	37	(	(	PUNCT
fcis-1497	55	38	1	1	NUM
fcis-1497	55	39	)	)	PUNCT
fcis-1497	55	40	and	and	CCONJ
fcis-1497	55	41	(	(	PUNCT
fcis-1497	55	42	2	2	NUM
fcis-1497	55	43	):	):	PUNCT
fcis-1497	55	44	𝑒𝑢1	𝑒𝑢1	PROPN
fcis-1497	55	45	(	(	PUNCT
fcis-1497	55	46	0	0	NUM
fcis-1497	55	47	)	)	PUNCT
fcis-1497	56	1	=	=	SYM
fcis-1497	56	2	𝑒𝑟𝑎𝑛𝑑𝑜𝑚||𝑒𝑢1′𝑠	𝑒𝑟𝑎𝑛𝑑𝑜𝑚||𝑒𝑢1′𝑠	ADV
fcis-1497	56	3	𝑓𝑒𝑎𝑡𝑢𝑟𝑒||𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	𝑓𝑒𝑎𝑡𝑢𝑟𝑒||𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	NOUN
fcis-1497	56	4	(	(	PUNCT
fcis-1497	56	5	1	1	X
fcis-1497	56	6	)	)	PUNCT
fcis-1497	56	7	𝑒𝑖3	𝑒𝑖3	NOUN
fcis-1497	56	8	(	(	PUNCT
fcis-1497	56	9	0	0	NUM
fcis-1497	56	10	)	)	PUNCT
fcis-1497	56	11	=	=	SYM
fcis-1497	56	12	𝑒𝑟𝑎𝑛𝑑𝑜𝑚||𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2||𝑒𝑖3′𝑠	𝑒𝑟𝑎𝑛𝑑𝑜𝑚||𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2||𝑒𝑖3′𝑠	ADJ
fcis-1497	56	13	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	NOUN
fcis-1497	56	14	(	(	PUNCT
fcis-1497	56	15	2	2	NUM
fcis-1497	56	16	)	)	PUNCT
fcis-1497	56	17	in	in	ADP
fcis-1497	56	18	the	the	DET
fcis-1497	56	19	equations	equation	NOUN
fcis-1497	56	20	,	,	PUNCT
fcis-1497	56	21	𝑒𝑢1′𝑠	𝑒𝑢1′𝑠	ADP
fcis-1497	56	22	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	VERB
fcis-1497	56	23	and	and	CCONJ
fcis-1497	56	24	𝑒𝑖3′𝑠	𝑒𝑖3′𝑠	ADV
fcis-1497	56	25	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	NOUN
fcis-1497	56	26	are	be	AUX
fcis-1497	56	27	the	the	DET
fcis-1497	56	28	vectors	vector	NOUN
fcis-1497	56	29	obtained	obtain	VERB
fcis-1497	56	30	by	by	ADP
fcis-1497	56	31	transforming	transform	VERB
fcis-1497	56	32	the	the	DET
fcis-1497	56	33	feature	feature	NOUN
fcis-1497	56	34	of	of	ADP
fcis-1497	56	35	the	the	DET
fcis-1497	56	36	user	user	NOUN
fcis-1497	56	37	and	and	CCONJ
fcis-1497	56	38	the	the	DET
fcis-1497	56	39	item	item	NOUN
fcis-1497	56	40	,	,	PUNCT
fcis-1497	56	41	and	and	CCONJ
fcis-1497	56	42	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	NOUN
fcis-1497	56	43	,	,	PUNCT
fcis-1497	56	44	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2	PROPN
fcis-1497	56	45	are	be	AUX
fcis-1497	56	46	used	use	VERB
fcis-1497	56	47	to	to	PART
fcis-1497	56	48	complement	complement	VERB
fcis-1497	56	49	the	the	DET
fcis-1497	56	50	length	length	NOUN
fcis-1497	56	51	of	of	ADP
fcis-1497	56	52	the	the	DET
fcis-1497	56	53	embeddings	embedding	NOUN
fcis-1497	56	54	.	.	PUNCT
fcis-1497	57	1	the	the	DET
fcis-1497	57	2	embedding	embed	VERB
fcis-1497	57	3	lengths	length	NOUN
fcis-1497	57	4	of	of	ADP
fcis-1497	57	5	𝑒𝑢1′𝑠	𝑒𝑢1′𝑠	NOUN
fcis-1497	57	6	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	VERB
fcis-1497	57	7	and	and	CCONJ
fcis-1497	57	8	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔2	NOUN
fcis-1497	57	9	are	be	AUX
fcis-1497	57	10	equal	equal	ADJ
fcis-1497	57	11	,	,	PUNCT
fcis-1497	57	12	and	and	CCONJ
fcis-1497	57	13	the	the	DET
fcis-1497	57	14	embedding	embed	VERB
fcis-1497	57	15	lengths	length	NOUN
fcis-1497	57	16	of	of	ADP
fcis-1497	57	17	𝑒𝑖3′𝑠	𝑒𝑖3′𝑠	NOUN
fcis-1497	57	18	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	𝑓𝑒𝑎𝑡𝑢𝑟𝑒	NOUN
fcis-1497	57	19	and	and	CCONJ
fcis-1497	57	20	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	𝑒𝑝𝑎𝑑𝑑𝑖𝑛𝑔1	NOUN
fcis-1497	57	21	are	be	AUX
fcis-1497	57	22	equal	equal	ADJ
fcis-1497	57	23	.	.	PUNCT
fcis-1497	58	1	3.2	3.2	NUM
fcis-1497	58	2	.	.	PUNCT
fcis-1497	59	1	propagation	propagation	NOUN
fcis-1497	59	2	layers	layer	NOUN
fcis-1497	59	3	in	in	ADP
fcis-1497	59	4	the	the	DET
fcis-1497	59	5	propagation	propagation	NOUN
fcis-1497	59	6	layer	layer	NOUN
fcis-1497	59	7	,	,	PUNCT
fcis-1497	59	8	nodes	node	NOUN
fcis-1497	59	9	will	will	AUX
fcis-1497	59	10	aggregate	aggregate	VERB
fcis-1497	59	11	information	information	NOUN
fcis-1497	59	12	about	about	ADP
fcis-1497	59	13	their	their	PRON
fcis-1497	59	14	neighbors	neighbor	NOUN
fcis-1497	59	15	and	and	CCONJ
fcis-1497	59	16	higher	high	ADJ
fcis-1497	59	17	-	-	PUNCT
fcis-1497	59	18	order	order	NOUN
fcis-1497	59	19	neighbors	neighbor	NOUN
fcis-1497	59	20	through	through	ADP
fcis-1497	59	21	message	message	NOUN
fcis-1497	59	22	propagation	propagation	NOUN
fcis-1497	59	23	.	.	PUNCT
fcis-1497	60	1	let	let	VERB
fcis-1497	60	2	's	us	PRON
fcis-1497	60	3	take	take	VERB
fcis-1497	60	4	figure	figure	NOUN
fcis-1497	60	5	3	3	NUM
fcis-1497	60	6	as	as	ADP
fcis-1497	60	7	an	an	DET
fcis-1497	60	8	example	example	NOUN
fcis-1497	60	9	.	.	PUNCT
fcis-1497	61	1	figure	figure	NOUN
fcis-1497	61	2	3	3	NUM
fcis-1497	61	3	.	.	PUNCT
fcis-1497	61	4	a	a	DET
fcis-1497	61	5	subgraph	subgraph	NOUN
fcis-1497	61	6	the	the	DET
fcis-1497	61	7	user	user	NOUN
fcis-1497	61	8	-	-	PUNCT
fcis-1497	61	9	item	item	NOUN
fcis-1497	61	10	interaction	interaction	NOUN
fcis-1497	61	11	graph	graph	NOUN
fcis-1497	61	12	suppose	suppose	VERB
fcis-1497	61	13	we	we	PRON
fcis-1497	61	14	want	want	VERB
fcis-1497	61	15	to	to	PART
fcis-1497	61	16	make	make	VERB
fcis-1497	61	17	a	a	DET
fcis-1497	61	18	prediction	prediction	NOUN
fcis-1497	61	19	for	for	ADP
fcis-1497	61	20	u1	u1	NOUN
fcis-1497	61	21	and	and	CCONJ
fcis-1497	61	22	i3	i3	NOUN
fcis-1497	61	23	.	.	PUNCT
fcis-1497	62	1	in	in	ADP
fcis-1497	62	2	the	the	DET
fcis-1497	62	3	first	first	ADJ
fcis-1497	62	4	-	-	PUNCT
fcis-1497	62	5	layer	layer	NOUN
fcis-1497	62	6	propagation	propagation	NOUN
fcis-1497	62	7	,	,	PUNCT
fcis-1497	62	8	u1	u1	NOUN
fcis-1497	62	9	and	and	CCONJ
fcis-1497	62	10	i3	i3	NOUN
fcis-1497	62	11	will	will	AUX
fcis-1497	62	12	aggregate	aggregate	VERB
fcis-1497	62	13	the	the	DET
fcis-1497	62	14	information	information	NOUN
fcis-1497	62	15	of	of	ADP
fcis-1497	62	16	their	their	PRON
fcis-1497	62	17	first	first	ADJ
fcis-1497	62	18	-	-	PUNCT
fcis-1497	62	19	order	order	NOUN
fcis-1497	62	20	neighbors	neighbor	NOUN
fcis-1497	62	21	,	,	PUNCT
fcis-1497	62	22	as	as	SCONJ
fcis-1497	62	23	shown	show	VERB
fcis-1497	62	24	in	in	ADP
fcis-1497	62	25	equations	equation	NOUN
fcis-1497	62	26	(	(	PUNCT
fcis-1497	62	27	3	3	NUM
fcis-1497	62	28	)	)	PUNCT
fcis-1497	62	29	and	and	CCONJ
fcis-1497	62	30	(	(	PUNCT
fcis-1497	62	31	4	4	NUM
fcis-1497	62	32	)	)	PUNCT
fcis-1497	62	33	:	:	PUNCT
fcis-1497	63	1	𝑒𝑢1	𝑒𝑢1	INTJ
fcis-1497	63	2	(	(	PUNCT
fcis-1497	63	3	1	1	NUM
fcis-1497	63	4	)	)	PUNCT
fcis-1497	63	5	=	=	PUNCT
fcis-1497	63	6	∑	∑	PROPN
fcis-1497	63	7	1	1	NUM
fcis-1497	63	8	√|𝑁𝑢1|√|𝑁𝑖|𝑖∈𝑁𝑢1	√|𝑁𝑢1|√|𝑁𝑖|𝑖∈𝑁𝑢1	X
fcis-1497	63	9	𝑒𝑖	𝑒𝑖	X
fcis-1497	63	10	(	(	PUNCT
fcis-1497	63	11	0	0	NUM
fcis-1497	63	12	)	)	PUNCT
fcis-1497	63	13	(	(	PUNCT
fcis-1497	63	14	3	3	X
fcis-1497	63	15	)	)	PUNCT
fcis-1497	63	16	𝑒𝑖3	𝑒𝑖3	NOUN
fcis-1497	63	17	(	(	PUNCT
fcis-1497	63	18	1	1	NUM
fcis-1497	63	19	)	)	PUNCT
fcis-1497	63	20	=	=	SYM
fcis-1497	63	21	∑	∑	PUNCT
fcis-1497	63	22	1	1	NUM
fcis-1497	63	23	√|𝑁𝑖3|√|𝑁𝑢|𝑢∈𝑁𝑖3	√|𝑁𝑖3|√|𝑁𝑢|𝑢∈𝑁𝑖3	NOUN
fcis-1497	63	24	𝑒𝑢	𝑒𝑢	PROPN
fcis-1497	63	25	(	(	PUNCT
fcis-1497	63	26	0	0	NUM
fcis-1497	63	27	)	)	PUNCT
fcis-1497	63	28	(	(	PUNCT
fcis-1497	63	29	4	4	X
fcis-1497	63	30	)	)	PUNCT
fcis-1497	63	31	in	in	ADP
fcis-1497	63	32	the	the	DET
fcis-1497	63	33	equations	equation	NOUN
fcis-1497	63	34	,	,	PUNCT
fcis-1497	63	35	1	1	NUM
fcis-1497	63	36	√|𝑁𝑖|√|𝑁𝑢|	√|𝑁𝑖|√|𝑁𝑢|	NOUN
fcis-1497	63	37	is	be	AUX
fcis-1497	63	38	inherited	inherit	VERB
fcis-1497	63	39	from	from	ADP
fcis-1497	63	40	the	the	DET
fcis-1497	63	41	symmetric	symmetric	ADJ
fcis-1497	63	42	normalization	normalization	NOUN
fcis-1497	63	43	operation	operation	NOUN
fcis-1497	63	44	in	in	ADP
fcis-1497	63	45	the	the	DET
fcis-1497	63	46	graph	graph	NOUN
fcis-1497	63	47	convolutional	convolutional	ADJ
fcis-1497	63	48	network	network	NOUN
fcis-1497	63	49	,	,	PUNCT
fcis-1497	63	50	|𝑁𝑖|	|𝑁𝑖|	PROPN
fcis-1497	63	51	and	and	CCONJ
fcis-1497	63	52	|𝑁𝑢|	|𝑁𝑢|	PROPN
fcis-1497	63	53	represents	represent	VERB
fcis-1497	63	54	the	the	DET
fcis-1497	63	55	degree	degree	NOUN
fcis-1497	63	56	of	of	ADP
fcis-1497	63	57	the	the	DET
fcis-1497	63	58	project	project	NOUN
fcis-1497	63	59	and	and	CCONJ
fcis-1497	63	60	user	user	NOUN
fcis-1497	63	61	node	node	NOUN
fcis-1497	63	62	,	,	PUNCT
fcis-1497	63	63	respectively	respectively	ADV
fcis-1497	63	64	.	.	PUNCT
fcis-1497	64	1	after	after	ADP
fcis-1497	64	2	a	a	DET
fcis-1497	64	3	layer	layer	NOUN
fcis-1497	64	4	of	of	ADP
fcis-1497	64	5	propagation	propagation	NOUN
fcis-1497	64	6	and	and	CCONJ
fcis-1497	64	7	aggregation	aggregation	NOUN
fcis-1497	64	8	,	,	PUNCT
fcis-1497	64	9	all	all	DET
fcis-1497	64	10	nodes	node	NOUN
fcis-1497	64	11	will	will	AUX
fcis-1497	64	12	get	get	VERB
fcis-1497	64	13	the	the	DET
fcis-1497	64	14	information	information	NOUN
fcis-1497	64	15	of	of	ADP
fcis-1497	64	16	their	their	PRON
fcis-1497	64	17	neighbor	neighbor	NOUN
fcis-1497	64	18	nodes	nod	VERB
fcis-1497	64	19	.	.	PUNCT
fcis-1497	65	1	after	after	ADP
fcis-1497	65	2	another	another	DET
fcis-1497	65	3	aggregation	aggregation	NOUN
fcis-1497	65	4	,	,	PUNCT
fcis-1497	65	5	they	they	PRON
fcis-1497	65	6	can	can	AUX
fcis-1497	65	7	get	get	VERB
fcis-1497	65	8	the	the	DET
fcis-1497	65	9	information	information	NOUN
fcis-1497	65	10	of	of	ADP
fcis-1497	65	11	their	their	PRON
fcis-1497	65	12	secondorder	secondorder	ADJ
fcis-1497	65	13	neighbors	neighbor	NOUN
fcis-1497	65	14	from	from	ADP
fcis-1497	65	15	the	the	DET
fcis-1497	65	16	neighbor	neighbor	NOUN
fcis-1497	65	17	nodes	nod	VERB
fcis-1497	65	18	.	.	PUNCT
fcis-1497	66	1	after	after	ADP
fcis-1497	66	2	several	several	ADJ
fcis-1497	66	3	aggregation	aggregation	NOUN
fcis-1497	66	4	,	,	PUNCT
fcis-1497	66	5	they	they	PRON
fcis-1497	66	6	can	can	AUX
fcis-1497	66	7	get	get	VERB
fcis-1497	66	8	the	the	DET
fcis-1497	66	9	information	information	NOUN
fcis-1497	66	10	of	of	ADP
fcis-1497	66	11	their	their	PRON
fcis-1497	66	12	higher	high	ADJ
fcis-1497	66	13	-	-	PUNCT
fcis-1497	66	14	order	order	NOUN
fcis-1497	66	15	neighbors	neighbor	NOUN
fcis-1497	66	16	.	.	PUNCT
fcis-1497	67	1	the	the	DET
fcis-1497	67	2	equations	equation	NOUN
fcis-1497	67	3	for	for	ADP
fcis-1497	67	4	the	the	DET
fcis-1497	67	5	k	k	ADJ
fcis-1497	67	6	-	-	PUNCT
fcis-1497	67	7	layer	layer	NOUN
fcis-1497	67	8	aggregation	aggregation	NOUN
fcis-1497	67	9	is	be	AUX
fcis-1497	67	10	shown	show	VERB
fcis-1497	67	11	in	in	ADP
fcis-1497	67	12	(	(	PUNCT
fcis-1497	67	13	5	5	NUM
fcis-1497	67	14	)	)	PUNCT
fcis-1497	67	15	and	and	CCONJ
fcis-1497	67	16	(	(	PUNCT
fcis-1497	67	17	6	6	NUM
fcis-1497	67	18	)	)	PUNCT
fcis-1497	67	19	:	:	PUNCT
fcis-1497	67	20	𝑒𝑢	𝑒𝑢	X
fcis-1497	67	21	(	(	PUNCT
fcis-1497	67	22	𝑘	𝑘	NOUN
fcis-1497	67	23	)	)	PUNCT
fcis-1497	67	24	=	=	SYM
fcis-1497	67	25	∑	∑	PUNCT
fcis-1497	67	26	1	1	NUM
fcis-1497	67	27	√|𝑁𝑢|√|𝑁𝑖|𝑖∈𝑁𝑢	√|𝑁𝑢|√|𝑁𝑖|𝑖∈𝑁𝑢	NOUN
fcis-1497	67	28	𝑒𝑖	𝑒𝑖	NOUN
fcis-1497	67	29	(	(	PUNCT
fcis-1497	67	30	𝑘−1	𝑘−1	PROPN
fcis-1497	67	31	)	)	PUNCT
fcis-1497	67	32	(	(	PUNCT
fcis-1497	67	33	5	5	X
fcis-1497	67	34	)	)	PUNCT
fcis-1497	67	35	𝑒𝑖	𝑒𝑖	X
fcis-1497	67	36	(	(	PUNCT
fcis-1497	67	37	𝑘	𝑘	X
fcis-1497	67	38	)	)	PUNCT
fcis-1497	67	39	=	=	SYM
fcis-1497	67	40	∑	∑	PROPN
fcis-1497	67	41	1	1	NUM
fcis-1497	67	42	√|𝑁𝑖|√|𝑁𝑢|𝑢∈𝑁𝑖	√|𝑁𝑖|√|𝑁𝑢|𝑢∈𝑁𝑖	PROPN
fcis-1497	67	43	𝑒𝑢	𝑒𝑢	PROPN
fcis-1497	67	44	(	(	PUNCT
fcis-1497	67	45	𝑘−1	𝑘−1	PROPN
fcis-1497	67	46	)	)	PUNCT
fcis-1497	67	47	(	(	PUNCT
fcis-1497	67	48	6	6	NUM
fcis-1497	67	49	)	)	PUNCT
fcis-1497	67	50	after	after	ADP
fcis-1497	67	51	k	k	PROPN
fcis-1497	67	52	layer	layer	NOUN
fcis-1497	67	53	,	,	PUNCT
fcis-1497	67	54	a	a	DET
fcis-1497	67	55	total	total	NOUN
fcis-1497	67	56	of	of	ADP
fcis-1497	67	57	k+1	k+1	NOUN
fcis-1497	67	58	embeddings	embedding	NOUN
fcis-1497	67	59	including	include	VERB
fcis-1497	67	60	the	the	DET
fcis-1497	67	61	0th	0th	ADJ
fcis-1497	67	62	layer	layer	NOUN
fcis-1497	67	63	will	will	AUX
fcis-1497	67	64	be	be	AUX
fcis-1497	67	65	obtained	obtain	VERB
fcis-1497	67	66	.	.	PUNCT
fcis-1497	68	1	we	we	PRON
fcis-1497	68	2	will	will	AUX
fcis-1497	68	3	sum	sum	VERB
fcis-1497	68	4	them	they	PRON
fcis-1497	68	5	and	and	CCONJ
fcis-1497	68	6	take	take	VERB
fcis-1497	68	7	the	the	DET
fcis-1497	68	8	average	average	NOUN
fcis-1497	68	9	as	as	ADP
fcis-1497	68	10	the	the	DET
fcis-1497	68	11	final	final	ADJ
fcis-1497	68	12	embedding	embedding	NOUN
fcis-1497	68	13	.	.	PUNCT
fcis-1497	69	1	again	again	ADV
fcis-1497	69	2	,	,	PUNCT
fcis-1497	69	3	using	use	VERB
fcis-1497	69	4	u1	u1	NOUN
fcis-1497	69	5	and	and	CCONJ
fcis-1497	69	6	i3	i3	NOUN
fcis-1497	69	7	as	as	ADP
fcis-1497	69	8	example	example	NOUN
fcis-1497	69	9	,	,	PUNCT
fcis-1497	69	10	the	the	DET
fcis-1497	69	11	results	result	NOUN
fcis-1497	69	12	are	be	AUX
fcis-1497	69	13	shown	show	VERB
fcis-1497	69	14	in	in	ADP
fcis-1497	69	15	equations	equation	NOUN
fcis-1497	69	16	(	(	PUNCT
fcis-1497	69	17	7	7	NUM
fcis-1497	69	18	)	)	PUNCT
fcis-1497	69	19	and	and	CCONJ
fcis-1497	69	20	(	(	PUNCT
fcis-1497	69	21	8)	8)	NUM
fcis-1497	69	22	:	:	SYM
fcis-1497	69	23	84	84	NUM
fcis-1497	69	24	𝑒𝑢1	𝑒𝑢1	NOUN
fcis-1497	69	25	∗	∗	NOUN
fcis-1497	69	26	=	=	PUNCT
fcis-1497	69	27	∑	∑	PUNCT
fcis-1497	69	28	𝑒𝑢1	𝑒𝑢1	X
fcis-1497	69	29	(	(	PUNCT
fcis-1497	69	30	𝑘	𝑘	NOUN
fcis-1497	69	31	)	)	PUNCT
fcis-1497	69	32	𝐾+1	𝐾+1	NOUN
fcis-1497	70	1	𝐾	𝐾	PROPN
fcis-1497	70	2	𝑘=0	𝑘=0	PROPN
fcis-1497	70	3	(	(	PUNCT
fcis-1497	70	4	7	7	X
fcis-1497	70	5	)	)	PUNCT
fcis-1497	70	6	𝑒𝑖3	𝑒𝑖3	NOUN
fcis-1497	70	7	∗	∗	NOUN
fcis-1497	70	8	=	=	PUNCT
fcis-1497	70	9	∑	∑	PUNCT
fcis-1497	70	10	𝑒𝑖3	𝑒𝑖3	PROPN
fcis-1497	70	11	(	(	PUNCT
fcis-1497	70	12	𝑘	𝑘	NOUN
fcis-1497	70	13	)	)	PUNCT
fcis-1497	70	14	𝐾+1	𝐾+1	NOUN
fcis-1497	71	1	𝐾	𝐾	PROPN
fcis-1497	71	2	𝑘=0	𝑘=0	PROPN
fcis-1497	71	3	(	(	PUNCT
fcis-1497	71	4	8)	8)	NUM
fcis-1497	71	5	3.3	3.3	NUM
fcis-1497	71	6	.	.	PUNCT
fcis-1497	72	1	model	model	NOUN
fcis-1497	72	2	prediction	prediction	NOUN
fcis-1497	72	3	in	in	ADP
fcis-1497	72	4	the	the	DET
fcis-1497	72	5	prediction	prediction	NOUN
fcis-1497	72	6	layer	layer	NOUN
fcis-1497	73	1	,	,	PUNCT
fcis-1497	73	2	we	we	PRON
fcis-1497	73	3	conduct	conduct	VERB
fcis-1497	73	4	the	the	DET
fcis-1497	73	5	inner	inner	ADJ
fcis-1497	73	6	product	product	NOUN
fcis-1497	73	7	operation	operation	NOUN
fcis-1497	73	8	between	between	ADP
fcis-1497	73	9	the	the	DET
fcis-1497	73	10	vectors	vector	NOUN
fcis-1497	73	11	of	of	ADP
fcis-1497	73	12	users	user	NOUN
fcis-1497	73	13	and	and	CCONJ
fcis-1497	73	14	items	item	NOUN
fcis-1497	73	15	,	,	PUNCT
fcis-1497	73	16	and	and	CCONJ
fcis-1497	73	17	the	the	DET
fcis-1497	73	18	result	result	NOUN
fcis-1497	73	19	is	be	AUX
fcis-1497	73	20	used	use	VERB
fcis-1497	73	21	as	as	ADP
fcis-1497	73	22	the	the	DET
fcis-1497	73	23	score	score	NOUN
fcis-1497	73	24	of	of	ADP
fcis-1497	73	25	recommendation	recommendation	NOUN
fcis-1497	73	26	ranking.the	ranking.the	DET
fcis-1497	73	27	results	result	NOUN
fcis-1497	73	28	are	be	AUX
fcis-1497	73	29	shown	show	VERB
fcis-1497	73	30	in	in	ADP
fcis-1497	73	31	equations	equation	NOUN
fcis-1497	73	32	(	(	PUNCT
fcis-1497	73	33	9	9	NUM
fcis-1497	73	34	)	)	PUNCT
fcis-1497	73	35	:	:	PUNCT
fcis-1497	74	1	𝑦𝑢1,𝑖3	𝑦𝑢1,𝑖3	PROPN
fcis-1497	74	2	=	=	PUNCT
fcis-1497	74	3	𝑒𝑢1	𝑒𝑢1	ADP
fcis-1497	74	4	∗	∗	NOUN
fcis-1497	74	5	𝑇𝑒𝑖3	𝑇𝑒𝑖3	NOUN
fcis-1497	74	6	∗	∗	NOUN
fcis-1497	74	7	(	(	PUNCT
fcis-1497	74	8	9	9	NUM
fcis-1497	74	9	)	)	PUNCT
fcis-1497	74	10	3.4	3.4	NUM
fcis-1497	74	11	.	.	PUNCT
fcis-1497	74	12	model	model	NOUN
fcis-1497	74	13	training	training	NOUN
fcis-1497	74	14	during	during	ADP
fcis-1497	74	15	training	training	NOUN
fcis-1497	74	16	,	,	PUNCT
fcis-1497	74	17	we	we	PRON
fcis-1497	74	18	choose	choose	VERB
fcis-1497	74	19	bayesian	bayesian	NOUN
fcis-1497	74	20	personalized	personalize	VERB
fcis-1497	74	21	ranking	rank	VERB
fcis-1497	74	22	(	(	PUNCT
fcis-1497	74	23	bpr	bpr	NOUN
fcis-1497	74	24	)	)	PUNCT
fcis-1497	74	25	loss[14	loss[14	NOUN
fcis-1497	74	26	]	]	PUNCT
fcis-1497	74	27	as	as	ADP
fcis-1497	74	28	our	our	PRON
fcis-1497	74	29	loss	loss	NOUN
fcis-1497	74	30	function	function	NOUN
fcis-1497	74	31	,	,	PUNCT
fcis-1497	74	32	as	as	SCONJ
fcis-1497	74	33	shown	show	VERB
fcis-1497	74	34	in	in	ADP
fcis-1497	74	35	equation	equation	NOUN
fcis-1497	74	36	(	(	PUNCT
fcis-1497	74	37	10	10	NUM
fcis-1497	74	38	)	)	PUNCT
fcis-1497	74	39	:	:	PUNCT
fcis-1497	74	40	loss	loss	NOUN
fcis-1497	74	41	=	=	PUNCT
fcis-1497	74	42	∑	∑	PUNCT
fcis-1497	74	43	−	−	PROPN
fcis-1497	74	44	ln	ln	ADJ
fcis-1497	74	45	σ(yu	σ(yu	ADJ
fcis-1497	74	46	,	,	PUNCT
fcis-1497	74	47	i	i	PRON
fcis-1497	74	48	−	−	PROPN
fcis-1497	74	49	yu	yu	PROPN
fcis-1497	74	50	,	,	PUNCT
fcis-1497	74	51	j	j	PROPN
fcis-1497	74	52	)	)	PUNCT
fcis-1497	75	1	+	+	CCONJ
fcis-1497	75	2	λ||θ||2	λ||θ||2	PROPN
fcis-1497	75	3	(	(	PUNCT
fcis-1497	75	4	u	u	NOUN
fcis-1497	75	5	,	,	PUNCT
fcis-1497	75	6	i	i	PRON
fcis-1497	75	7	,	,	PUNCT
fcis-1497	75	8	j)∈o	j)∈o	PROPN
fcis-1497	75	9	(	(	PUNCT
fcis-1497	75	10	10	10	NUM
fcis-1497	75	11	)	)	PUNCT
fcis-1497	75	12	where	where	SCONJ
fcis-1497	75	13	o	o	NOUN
fcis-1497	75	14	=	=	PUNCT
fcis-1497	75	15	{	{	PUNCT
fcis-1497	75	16	(	(	PUNCT
fcis-1497	75	17	u	u	NOUN
fcis-1497	75	18	,	,	PUNCT
fcis-1497	75	19	i	i	PROPN
fcis-1497	75	20	,	,	PUNCT
fcis-1497	75	21	j)|(u	j)|(u	PROPN
fcis-1497	75	22	,	,	PUNCT
fcis-1497	75	23	i	i	NOUN
fcis-1497	75	24	)	)	PUNCT
fcis-1497	75	25	∈	∈	PROPN
fcis-1497	75	26	r+	r+	NOUN
fcis-1497	75	27	,	,	PUNCT
fcis-1497	75	28	(	(	PUNCT
fcis-1497	75	29	u	u	NOUN
fcis-1497	75	30	,	,	PUNCT
fcis-1497	75	31	j	j	PROPN
fcis-1497	75	32	)	)	PUNCT
fcis-1497	75	33	∈	∈	PROPN
fcis-1497	75	34	r-	r-	X
fcis-1497	75	35	}	}	PUNCT
fcis-1497	75	36	denotes	denote	VERB
fcis-1497	75	37	the	the	DET
fcis-1497	75	38	pairwise	pairwise	NOUN
fcis-1497	75	39	training	training	NOUN
fcis-1497	75	40	data	datum	NOUN
fcis-1497	75	41	,	,	PUNCT
fcis-1497	75	42	r+	r+	PRON
fcis-1497	75	43	indicates	indicate	VERB
fcis-1497	75	44	the	the	DET
fcis-1497	75	45	observed	observed	ADJ
fcis-1497	75	46	interactions	interaction	NOUN
fcis-1497	75	47	,	,	PUNCT
fcis-1497	75	48	and	and	CCONJ
fcis-1497	75	49	ris	ris	PRON
fcis-1497	76	1	the	the	DET
fcis-1497	76	2	unobserved	unobserved	ADJ
fcis-1497	76	3	interactions	interaction	NOUN
fcis-1497	76	4	;	;	PUNCT
fcis-1497	76	5	σ(∙	σ(∙	ADJ
fcis-1497	76	6	)	)	PUNCT
fcis-1497	76	7	is	be	AUX
fcis-1497	76	8	the	the	DET
fcis-1497	76	9	sigmoid	sigmoid	NOUN
fcis-1497	76	10	function	function	NOUN
fcis-1497	76	11	;	;	PUNCT
fcis-1497	76	12	θ	θ	PROPN
fcis-1497	76	13	denotes	denote	VERB
fcis-1497	76	14	all	all	DET
fcis-1497	76	15	trainable	trainable	ADJ
fcis-1497	76	16	model	model	NOUN
fcis-1497	76	17	parameters	parameter	NOUN
fcis-1497	76	18	,	,	PUNCT
fcis-1497	76	19	and	and	CCONJ
fcis-1497	76	20	λ	λ	PROPN
fcis-1497	76	21	controls	control	VERB
fcis-1497	76	22	the	the	DET
fcis-1497	76	23	l2	l2	NOUN
fcis-1497	76	24	regularization	regularization	NOUN
fcis-1497	76	25	strength	strength	NOUN
fcis-1497	76	26	to	to	PART
fcis-1497	76	27	prevent	prevent	VERB
fcis-1497	76	28	overfitting	overfitting	NOUN
fcis-1497	76	29	.	.	PUNCT
fcis-1497	77	1	bpr	bpr	PROPN
fcis-1497	77	2	loss	loss	NOUN
fcis-1497	77	3	has	have	AUX
fcis-1497	77	4	been	be	AUX
fcis-1497	77	5	intensively	intensively	ADV
fcis-1497	77	6	used	use	VERB
fcis-1497	77	7	in	in	ADP
fcis-1497	77	8	recommender	recommender	NOUN
fcis-1497	77	9	systems	system	NOUN
fcis-1497	77	10	.	.	PUNCT
fcis-1497	78	1	it	it	PRON
fcis-1497	78	2	takes	take	VERB
fcis-1497	78	3	into	into	ADP
fcis-1497	78	4	account	account	NOUN
fcis-1497	78	5	the	the	DET
fcis-1497	78	6	relative	relative	ADJ
fcis-1497	78	7	order	order	NOUN
fcis-1497	78	8	between	between	ADP
fcis-1497	78	9	observed	observed	ADJ
fcis-1497	78	10	and	and	CCONJ
fcis-1497	78	11	unobserved	unobserved	ADJ
fcis-1497	78	12	user	user	NOUN
fcis-1497	78	13	-	-	PUNCT
fcis-1497	78	14	item	item	NOUN
fcis-1497	78	15	interactions	interaction	NOUN
fcis-1497	78	16	.	.	PUNCT
fcis-1497	79	1	to	to	PART
fcis-1497	79	2	be	be	AUX
fcis-1497	79	3	more	more	ADV
fcis-1497	79	4	specifically	specifically	ADV
fcis-1497	79	5	,	,	PUNCT
fcis-1497	79	6	bpr	bpr	PROPN
fcis-1497	79	7	assumes	assume	VERB
fcis-1497	79	8	that	that	SCONJ
fcis-1497	79	9	observed	observe	VERB
fcis-1497	79	10	interactions	interaction	NOUN
fcis-1497	79	11	(	(	PUNCT
fcis-1497	79	12	which	which	PRON
fcis-1497	79	13	are	be	AUX
fcis-1497	79	14	more	more	ADV
fcis-1497	79	15	reflective	reflective	ADJ
fcis-1497	79	16	of	of	ADP
fcis-1497	79	17	user	user	NOUN
fcis-1497	79	18	preferences	preference	NOUN
fcis-1497	79	19	)	)	PUNCT
fcis-1497	79	20	should	should	AUX
fcis-1497	79	21	be	be	AUX
fcis-1497	79	22	assigned	assign	VERB
fcis-1497	79	23	higher	high	ADJ
fcis-1497	79	24	predictive	predictive	ADJ
fcis-1497	79	25	values	value	NOUN
fcis-1497	79	26	than	than	ADP
fcis-1497	79	27	unobserved	unobserved	ADJ
fcis-1497	79	28	interactions	interaction	NOUN
fcis-1497	79	29	.	.	PUNCT
fcis-1497	80	1	4	4	X
fcis-1497	80	2	.	.	X
fcis-1497	80	3	experiment	experiment	NOUN
fcis-1497	80	4	and	and	CCONJ
fcis-1497	80	5	results	result	NOUN
fcis-1497	80	6	we	we	PRON
fcis-1497	80	7	first	first	ADV
fcis-1497	80	8	introduce	introduce	VERB
fcis-1497	80	9	several	several	ADJ
fcis-1497	80	10	data	datum	NOUN
fcis-1497	80	11	sets	set	NOUN
fcis-1497	80	12	used	use	VERB
fcis-1497	80	13	in	in	ADP
fcis-1497	80	14	the	the	DET
fcis-1497	80	15	experiment	experiment	NOUN
fcis-1497	80	16	in	in	ADP
fcis-1497	80	17	section	section	NOUN
fcis-1497	80	18	4.1	4.1	NUM
fcis-1497	80	19	,	,	PUNCT
fcis-1497	80	20	then	then	ADV
fcis-1497	80	21	introduce	introduce	VERB
fcis-1497	80	22	several	several	ADJ
fcis-1497	80	23	methods	method	NOUN
fcis-1497	80	24	of	of	ADP
fcis-1497	80	25	comparison	comparison	NOUN
fcis-1497	80	26	with	with	ADP
fcis-1497	80	27	our	our	PRON
fcis-1497	80	28	model	model	NOUN
fcis-1497	80	29	in	in	ADP
fcis-1497	80	30	section	section	NOUN
fcis-1497	80	31	4.2	4.2	NUM
fcis-1497	80	32	,	,	PUNCT
fcis-1497	80	33	introduce	introduce	VERB
fcis-1497	80	34	the	the	DET
fcis-1497	80	35	setting	setting	NOUN
fcis-1497	80	36	of	of	ADP
fcis-1497	80	37	some	some	DET
fcis-1497	80	38	hyperparameters	hyperparameter	NOUN
fcis-1497	80	39	in	in	ADP
fcis-1497	80	40	the	the	DET
fcis-1497	80	41	experiment	experiment	NOUN
fcis-1497	80	42	in	in	ADP
fcis-1497	80	43	section	section	NOUN
fcis-1497	80	44	4.3	4.3	NUM
fcis-1497	80	45	,	,	PUNCT
fcis-1497	80	46	and	and	CCONJ
fcis-1497	80	47	finally	finally	ADV
fcis-1497	80	48	show	show	VERB
fcis-1497	80	49	the	the	DET
fcis-1497	80	50	experimental	experimental	ADJ
fcis-1497	80	51	comparison	comparison	NOUN
fcis-1497	80	52	results	result	NOUN
fcis-1497	80	53	.	.	PUNCT
fcis-1497	81	1	4.1	4.1	NUM
fcis-1497	81	2	.	.	PUNCT
fcis-1497	81	3	dataset	dataset	NOUN
fcis-1497	81	4	we	we	PRON
fcis-1497	81	5	used	use	VERB
fcis-1497	81	6	three	three	NUM
fcis-1497	81	7	datasets	dataset	NOUN
fcis-1497	81	8	for	for	ADP
fcis-1497	81	9	our	our	PRON
fcis-1497	81	10	experiment	experiment	NOUN
fcis-1497	81	11	:	:	PUNCT
fcis-1497	81	12	table1	table1	PROPN
fcis-1497	81	13	.	.	PUNCT
fcis-1497	82	1	statistics	statistic	NOUN
fcis-1497	82	2	of	of	ADP
fcis-1497	82	3	the	the	DET
fcis-1497	82	4	datasets	dataset	NOUN
fcis-1497	82	5	dataset	dataset	VERB
fcis-1497	82	6	#	#	ADP
fcis-1497	82	7	users	user	NOUN
fcis-1497	82	8	#	#	SYM
fcis-1497	82	9	items	item	NOUN
fcis-1497	82	10	#	#	SYM
fcis-1497	82	11	interactions	interaction	NOUN
fcis-1497	82	12	sparsity	sparsity	NOUN
fcis-1497	82	13	ml-100k	ml-100k	PROPN
fcis-1497	82	14	944	944	NUM
fcis-1497	82	15	1,683	1,683	NUM
fcis-1497	82	16	100,000	100,000	NUM
fcis-1497	82	17	93.71	93.71	NUM
fcis-1497	82	18	%	%	NOUN
fcis-1497	82	19	ml-1	ml-1	NOUN
fcis-1497	82	20	m	m	NOUN
fcis-1497	82	21	6041	6041	NUM
fcis-1497	82	22	3,707	3,707	NUM
fcis-1497	82	23	1,000,209	1,000,209	NUM
fcis-1497	82	24	95.53	95.53	NUM
fcis-1497	82	25	%	%	NOUN
fcis-1497	82	26	last	last	ADJ
fcis-1497	82	27	-	-	PUNCT
fcis-1497	82	28	fm	fm	NOUN
fcis-1497	82	29	993	993	NUM
fcis-1497	82	30	107,296	107,296	NUM
fcis-1497	82	31	18,498,005	18,498,005	NUM
fcis-1497	82	32	82.64	82.64	NUM
fcis-1497	82	33	%	%	NOUN
fcis-1497	82	34	moivelens[19	moivelens[19	NOUN
fcis-1497	82	35	]	]	PUNCT
fcis-1497	82	36	:	:	PUNCT
fcis-1497	82	37	moivelens	moivelen	NOUN
fcis-1497	82	38	dataset	dataset	VERB
fcis-1497	82	39	is	be	AUX
fcis-1497	82	40	a	a	DET
fcis-1497	82	41	very	very	ADV
fcis-1497	82	42	commonly	commonly	ADV
fcis-1497	82	43	used	use	VERB
fcis-1497	82	44	dataset	dataset	NOUN
fcis-1497	82	45	in	in	ADP
fcis-1497	82	46	recommender	recommender	NOUN
fcis-1497	82	47	system	system	NOUN
fcis-1497	82	48	research	research	NOUN
fcis-1497	82	49	.	.	PUNCT
fcis-1497	83	1	it	it	PRON
fcis-1497	83	2	was	be	AUX
fcis-1497	83	3	collected	collect	VERB
fcis-1497	83	4	by	by	ADP
fcis-1497	83	5	researchers	researcher	NOUN
fcis-1497	83	6	from	from	ADP
fcis-1497	83	7	the	the	DET
fcis-1497	83	8	moivelens	moivelen	NOUN
fcis-1497	83	9	website	website	NOUN
fcis-1497	83	10	and	and	CCONJ
fcis-1497	83	11	contains	contain	VERB
fcis-1497	83	12	anonymous	anonymous	ADJ
fcis-1497	83	13	user	user	NOUN
fcis-1497	83	14	ratings	rating	NOUN
fcis-1497	83	15	of	of	ADP
fcis-1497	83	16	movies	movie	NOUN
fcis-1497	83	17	,	,	PUNCT
fcis-1497	83	18	user	user	NOUN
fcis-1497	83	19	attributes	attribute	NOUN
fcis-1497	83	20	and	and	CCONJ
fcis-1497	83	21	information	information	NOUN
fcis-1497	83	22	about	about	ADP
fcis-1497	83	23	movies	movie	NOUN
fcis-1497	83	24	.	.	PUNCT
fcis-1497	84	1	the	the	DET
fcis-1497	84	2	moivelens-100k	moivelens-100k	PROPN
fcis-1497	84	3	(	(	PUNCT
fcis-1497	84	4	ml100k	ml100k	PROPN
fcis-1497	84	5	)	)	PUNCT
fcis-1497	84	6	dataset	dataset	NOUN
fcis-1497	84	7	contains	contain	VERB
fcis-1497	84	8	100,000	100,000	NUM
fcis-1497	84	9	scores	score	NOUN
fcis-1497	84	10	,	,	PUNCT
fcis-1497	84	11	and	and	CCONJ
fcis-1497	84	12	the	the	DET
fcis-1497	84	13	moivelens1	moivelens1	PROPN
fcis-1497	84	14	m	m	PROPN
fcis-1497	84	15	(	(	PUNCT
fcis-1497	84	16	ml-1	ml-1	PRON
fcis-1497	84	17	m	m	VERB
fcis-1497	84	18	)	)	PUNCT
fcis-1497	84	19	contains	contain	VERB
fcis-1497	84	20	1	1	NUM
fcis-1497	84	21	million	million	NUM
fcis-1497	84	22	scores	score	NOUN
fcis-1497	84	23	.	.	PUNCT
fcis-1497	85	1	although	although	SCONJ
fcis-1497	85	2	the	the	DET
fcis-1497	85	3	two	two	NUM
fcis-1497	85	4	data	data	NOUN
fcis-1497	85	5	sets	set	NOUN
fcis-1497	85	6	were	be	AUX
fcis-1497	85	7	collected	collect	VERB
fcis-1497	85	8	and	and	CCONJ
fcis-1497	85	9	curated	curate	VERB
fcis-1497	85	10	by	by	ADP
fcis-1497	85	11	the	the	DET
fcis-1497	85	12	same	same	ADJ
fcis-1497	85	13	organization	organization	NOUN
fcis-1497	85	14	,	,	PUNCT
fcis-1497	85	15	there	there	PRON
fcis-1497	85	16	is	be	VERB
fcis-1497	85	17	no	no	DET
fcis-1497	85	18	duplication	duplication	NOUN
fcis-1497	85	19	of	of	ADP
fcis-1497	85	20	data	datum	NOUN
fcis-1497	85	21	in	in	ADP
fcis-1497	85	22	them	they	PRON
fcis-1497	85	23	.	.	PUNCT
fcis-1497	86	1	last	last	ADJ
fcis-1497	86	2	-	-	PUNCT
fcis-1497	86	3	fm[20]:the	fm[20]:the	PRON
fcis-1497	86	4	music	music	NOUN
fcis-1497	86	5	recommendation	recommendation	NOUN
fcis-1497	86	6	dataset	dataset	NOUN
fcis-1497	86	7	,	,	PUNCT
fcis-1497	86	8	published	publish	VERB
fcis-1497	86	9	by	by	ADP
fcis-1497	86	10	lastfm	lastfm	PROPN
fcis-1497	86	11	,	,	PUNCT
fcis-1497	86	12	contains	contain	VERB
fcis-1497	86	13	four	four	NUM
fcis-1497	86	14	years	year	NOUN
fcis-1497	86	15	'	'	PART
fcis-1497	86	16	worth	worth	NOUN
fcis-1497	86	17	of	of	ADP
fcis-1497	86	18	listening	listen	VERB
fcis-1497	86	19	records	record	NOUN
fcis-1497	86	20	from	from	ADP
fcis-1497	86	21	about	about	ADP
fcis-1497	86	22	1,000	1,000	NUM
fcis-1497	86	23	anonymous	anonymous	ADJ
fcis-1497	86	24	users	user	NOUN
fcis-1497	86	25	,	,	PUNCT
fcis-1497	86	26	as	as	ADV
fcis-1497	86	27	well	well	ADV
fcis-1497	86	28	as	as	ADP
fcis-1497	86	29	user	user	NOUN
fcis-1497	86	30	,	,	PUNCT
fcis-1497	86	31	song	song	NOUN
fcis-1497	86	32	and	and	CCONJ
fcis-1497	86	33	artist	artist	NOUN
fcis-1497	86	34	attributes	attribute	NOUN
fcis-1497	86	35	.	.	PUNCT
fcis-1497	87	1	it	it	PRON
fcis-1497	87	2	’s	’s	AUX
fcis-1497	87	3	collected	collect	VERB
fcis-1497	87	4	from	from	ADP
fcis-1497	87	5	last.fm	last.fm	NUM
fcis-1497	87	6	online	online	ADJ
fcis-1497	87	7	music	music	NOUN
fcis-1497	87	8	systems	system	NOUN
fcis-1497	87	9	.	.	PUNCT
fcis-1497	88	1	4.2	4.2	NUM
fcis-1497	88	2	.	.	PUNCT
fcis-1497	89	1	compared	compare	VERB
fcis-1497	89	2	methods	method	NOUN
fcis-1497	89	3	we	we	PRON
fcis-1497	89	4	compare	compare	VERB
fcis-1497	89	5	our	our	PRON
fcis-1497	89	6	proposed	propose	VERB
fcis-1497	89	7	model	model	NOUN
fcis-1497	89	8	with	with	ADP
fcis-1497	89	9	the	the	DET
fcis-1497	89	10	following	follow	VERB
fcis-1497	89	11	models	model	NOUN
fcis-1497	89	12	:	:	PUNCT
fcis-1497	89	13	bprmf	bprmf	VERB
fcis-1497	89	14	[	[	NOUN
fcis-1497	89	15	14	14	NUM
fcis-1497	89	16	]	]	PUNCT
fcis-1497	89	17	optimizes	optimize	VERB
fcis-1497	89	18	the	the	DET
fcis-1497	89	19	bpr	bpr	NOUN
fcis-1497	89	20	loss	loss	NOUN
fcis-1497	89	21	to	to	PART
fcis-1497	89	22	learn	learn	VERB
fcis-1497	89	23	the	the	DET
fcis-1497	89	24	latent	latent	NOUN
fcis-1497	89	25	representations	representation	NOUN
fcis-1497	89	26	for	for	ADP
fcis-1497	89	27	users	user	NOUN
fcis-1497	89	28	and	and	CCONJ
fcis-1497	89	29	items	item	NOUN
fcis-1497	89	30	with	with	ADP
fcis-1497	89	31	matrix	matrix	NOUN
fcis-1497	89	32	factorization	factorization	NOUN
fcis-1497	89	33	(	(	PUNCT
fcis-1497	89	34	mf	mf	NOUN
fcis-1497	89	35	)	)	PUNCT
fcis-1497	89	36	framework	framework	NOUN
fcis-1497	89	37	.	.	PUNCT
fcis-1497	90	1	one	one	NUM
fcis-1497	90	2	of	of	ADP
fcis-1497	90	3	the	the	DET
fcis-1497	90	4	classic	classic	ADJ
fcis-1497	90	5	models	model	NOUN
fcis-1497	90	6	in	in	ADP
fcis-1497	90	7	recommender	recommender	NOUN
fcis-1497	90	8	system	system	NOUN
fcis-1497	90	9	.	.	PUNCT
fcis-1497	91	1	neumf	neumf	PROPN
fcis-1497	92	1	[	[	X
fcis-1497	92	2	16	16	NUM
fcis-1497	92	3	]	]	PUNCT
fcis-1497	92	4	replaces	replace	VERB
fcis-1497	92	5	the	the	DET
fcis-1497	92	6	dot	dot	NOUN
fcis-1497	92	7	product	product	NOUN
fcis-1497	92	8	in	in	ADP
fcis-1497	92	9	mf	mf	NOUN
fcis-1497	92	10	model	model	NOUN
fcis-1497	92	11	with	with	ADP
fcis-1497	92	12	a	a	DET
fcis-1497	92	13	multi	multi	ADJ
fcis-1497	92	14	-	-	ADJ
fcis-1497	92	15	layer	layer	ADJ
fcis-1497	92	16	perceptron	perceptron	NOUN
fcis-1497	92	17	to	to	PART
fcis-1497	92	18	learn	learn	VERB
fcis-1497	92	19	the	the	DET
fcis-1497	92	20	match	match	NOUN
fcis-1497	92	21	function	function	NOUN
fcis-1497	92	22	of	of	ADP
fcis-1497	92	23	users	user	NOUN
fcis-1497	92	24	and	and	CCONJ
fcis-1497	92	25	items	item	NOUN
fcis-1497	92	26	.	.	PUNCT
fcis-1497	93	1	ngcf[10	ngcf[10	ADV
fcis-1497	93	2	]	]	PUNCT
fcis-1497	93	3	uses	use	VERB
fcis-1497	93	4	methods	method	NOUN
fcis-1497	93	5	in	in	ADP
fcis-1497	93	6	gcn	gcn	NOUN
fcis-1497	93	7	to	to	PART
fcis-1497	93	8	extract	extract	VERB
fcis-1497	93	9	information	information	NOUN
fcis-1497	93	10	from	from	ADP
fcis-1497	93	11	the	the	DET
fcis-1497	93	12	bipartite	bipartite	PROPN
fcis-1497	93	13	graph	graph	NOUN
fcis-1497	93	14	of	of	ADP
fcis-1497	93	15	user	user	NOUN
fcis-1497	93	16	items	item	NOUN
fcis-1497	93	17	,	,	PUNCT
fcis-1497	93	18	trains	train	VERB
fcis-1497	93	19	the	the	DET
fcis-1497	93	20	model	model	NOUN
fcis-1497	93	21	with	with	ADP
fcis-1497	93	22	this	this	DET
fcis-1497	93	23	information	information	NOUN
fcis-1497	93	24	to	to	PART
fcis-1497	93	25	generate	generate	VERB
fcis-1497	93	26	vectors	vector	NOUN
fcis-1497	93	27	of	of	ADP
fcis-1497	93	28	user	user	NOUN
fcis-1497	93	29	items	item	NOUN
fcis-1497	93	30	,	,	PUNCT
fcis-1497	93	31	and	and	CCONJ
fcis-1497	93	32	then	then	ADV
fcis-1497	93	33	uses	use	VERB
fcis-1497	93	34	these	these	DET
fcis-1497	93	35	embeddings	embedding	NOUN
fcis-1497	93	36	to	to	PART
fcis-1497	93	37	make	make	VERB
fcis-1497	93	38	predictions	prediction	NOUN
fcis-1497	93	39	.	.	PUNCT
fcis-1497	94	1	lightgcn[11	lightgcn[11	PROPN
fcis-1497	94	2	]	]	PUNCT
fcis-1497	94	3	has	have	VERB
fcis-1497	94	4	a	a	DET
fcis-1497	94	5	similar	similar	ADJ
fcis-1497	94	6	structure	structure	NOUN
fcis-1497	94	7	with	with	ADP
fcis-1497	94	8	ngcf	ngcf	PROPN
fcis-1497	94	9	,	,	PUNCT
fcis-1497	94	10	but	but	CCONJ
fcis-1497	94	11	some	some	DET
fcis-1497	94	12	operations	operation	NOUN
fcis-1497	94	13	inherited	inherit	VERB
fcis-1497	94	14	from	from	ADP
fcis-1497	94	15	gcn	gcn	NOUN
fcis-1497	94	16	are	be	AUX
fcis-1497	94	17	simplified	simplify	VERB
fcis-1497	94	18	,	,	PUNCT
fcis-1497	94	19	which	which	PRON
fcis-1497	94	20	not	not	PART
fcis-1497	94	21	only	only	ADV
fcis-1497	94	22	improves	improve	VERB
fcis-1497	94	23	the	the	DET
fcis-1497	94	24	training	training	NOUN
fcis-1497	94	25	speed	speed	NOUN
fcis-1497	94	26	of	of	ADP
fcis-1497	94	27	the	the	DET
fcis-1497	94	28	model	model	NOUN
fcis-1497	94	29	,	,	PUNCT
fcis-1497	94	30	but	but	CCONJ
fcis-1497	94	31	also	also	ADV
fcis-1497	94	32	achieves	achieve	VERB
fcis-1497	94	33	better	well	ADJ
fcis-1497	94	34	results	result	NOUN
fcis-1497	94	35	.	.	PUNCT
fcis-1497	95	1	4.3	4.3	NUM
fcis-1497	95	2	.	.	PUNCT
fcis-1497	95	3	experimental	experimental	ADJ
fcis-1497	95	4	settings	setting	NOUN
fcis-1497	95	5	evaluation	evaluation	NOUN
fcis-1497	95	6	metrics	metric	NOUN
fcis-1497	95	7	for	for	ADP
fcis-1497	95	8	each	each	DET
fcis-1497	95	9	user	user	NOUN
fcis-1497	95	10	in	in	ADP
fcis-1497	95	11	the	the	DET
fcis-1497	95	12	test	test	NOUN
fcis-1497	95	13	set	set	NOUN
fcis-1497	95	14	,	,	PUNCT
fcis-1497	95	15	we	we	PRON
fcis-1497	95	16	treat	treat	VERB
fcis-1497	95	17	all	all	DET
fcis-1497	95	18	the	the	DET
fcis-1497	95	19	items	item	NOUN
fcis-1497	95	20	that	that	PRON
fcis-1497	95	21	the	the	DET
fcis-1497	95	22	user	user	NOUN
fcis-1497	95	23	has	have	AUX
fcis-1497	95	24	not	not	PART
fcis-1497	95	25	interacted	interact	VERB
fcis-1497	95	26	with	with	ADP
fcis-1497	95	27	as	as	ADP
fcis-1497	95	28	the	the	DET
fcis-1497	95	29	negative	negative	ADJ
fcis-1497	95	30	items	item	NOUN
fcis-1497	95	31	.	.	PUNCT
fcis-1497	96	1	then	then	ADV
fcis-1497	96	2	each	each	DET
fcis-1497	96	3	method	method	NOUN
fcis-1497	96	4	outputs	output	VERB
fcis-1497	96	5	the	the	DET
fcis-1497	96	6	user	user	NOUN
fcis-1497	96	7	’s	’s	PART
fcis-1497	96	8	preference	preference	NOUN
fcis-1497	96	9	scores	score	NOUN
fcis-1497	96	10	over	over	ADP
fcis-1497	96	11	all	all	DET
fcis-1497	96	12	the	the	DET
fcis-1497	96	13	items	item	NOUN
fcis-1497	96	14	,	,	PUNCT
fcis-1497	96	15	except	except	SCONJ
fcis-1497	96	16	the	the	DET
fcis-1497	96	17	positive	positive	ADJ
fcis-1497	96	18	ones	one	NOUN
fcis-1497	96	19	used	use	VERB
fcis-1497	96	20	in	in	ADP
fcis-1497	96	21	the	the	DET
fcis-1497	96	22	training	training	NOUN
fcis-1497	96	23	set	set	NOUN
fcis-1497	96	24	.	.	PUNCT
fcis-1497	97	1	to	to	PART
fcis-1497	97	2	evaluate	evaluate	VERB
fcis-1497	97	3	the	the	DET
fcis-1497	97	4	effectiveness	effectiveness	NOUN
fcis-1497	97	5	of	of	ADP
fcis-1497	97	6	top	top	ADJ
fcis-1497	97	7	-	-	PUNCT
fcis-1497	97	8	k	k	NOUN
fcis-1497	97	9	recommendation	recommendation	NOUN
fcis-1497	97	10	and	and	CCONJ
fcis-1497	97	11	preference	preference	NOUN
fcis-1497	97	12	ranking	ranking	NOUN
fcis-1497	97	13	,	,	PUNCT
fcis-1497	97	14	we	we	PRON
fcis-1497	97	15	adopt	adopt	VERB
fcis-1497	97	16	two	two	NUM
fcis-1497	97	17	widely	widely	ADV
fcis-1497	97	18	-	-	PUNCT
fcis-1497	97	19	used	use	VERB
fcis-1497	97	20	evaluation	evaluation	NOUN
fcis-1497	97	21	protocols	protocol	NOUN
fcis-1497	97	22	[	[	X
fcis-1497	97	23	10	10	NUM
fcis-1497	97	24	,	,	PUNCT
fcis-1497	97	25	17	17	NUM
fcis-1497	97	26	]	]	X
fcis-1497	97	27	:	:	PUNCT
fcis-1497	97	28	recall@k	recall@k	NOUN
fcis-1497	97	29	and	and	CCONJ
fcis-1497	97	30	ndcg@k	ndcg@k	NOUN
fcis-1497	97	31	.	.	PUNCT
fcis-1497	98	1	by	by	ADP
fcis-1497	98	2	default	default	NOUN
fcis-1497	98	3	,	,	PUNCT
fcis-1497	98	4	we	we	PRON
fcis-1497	98	5	set	set	VERB
fcis-1497	98	6	k	k	PROPN
fcis-1497	98	7	=	=	NOUN
fcis-1497	98	8	10	10	NUM
fcis-1497	98	9	.	.	PUNCT
fcis-1497	99	1	other	other	ADJ
fcis-1497	99	2	settings	setting	NOUN
fcis-1497	99	3	we	we	PRON
fcis-1497	99	4	implement	implement	VERB
fcis-1497	99	5	the	the	DET
fcis-1497	99	6	proposed	propose	VERB
fcis-1497	99	7	model	model	NOUN
fcis-1497	99	8	and	and	CCONJ
fcis-1497	99	9	all	all	DET
fcis-1497	99	10	the	the	DET
fcis-1497	99	11	baselines	baseline	NOUN
fcis-1497	99	12	with	with	ADP
fcis-1497	99	13	recbole	recbole	NOUN
fcis-1497	99	14	[	[	X
fcis-1497	99	15	18	18	NUM
fcis-1497	99	16	]	]	PUNCT
fcis-1497	99	17	,	,	PUNCT
fcis-1497	99	18	which	which	PRON
fcis-1497	99	19	is	be	AUX
fcis-1497	99	20	a	a	DET
fcis-1497	99	21	unified	unified	ADJ
fcis-1497	99	22	opensource	opensource	NOUN
fcis-1497	99	23	framework	framework	NOUN
fcis-1497	99	24	to	to	PART
fcis-1497	99	25	develop	develop	VERB
fcis-1497	99	26	and	and	CCONJ
fcis-1497	99	27	reproduce	reproduce	VERB
fcis-1497	99	28	recommendation	recommendation	NOUN
fcis-1497	99	29	algorithms	algorithm	NOUN
fcis-1497	99	30	.	.	PUNCT
fcis-1497	100	1	in	in	ADP
fcis-1497	100	2	training	training	NOUN
fcis-1497	100	3	,	,	PUNCT
fcis-1497	100	4	we	we	PRON
fcis-1497	100	5	randomly	randomly	VERB
fcis-1497	100	6	select	select	VERB
fcis-1497	100	7	80	80	NUM
fcis-1497	100	8	%	%	NOUN
fcis-1497	100	9	of	of	ADP
fcis-1497	100	10	interactions	interaction	NOUN
fcis-1497	100	11	as	as	ADP
fcis-1497	100	12	training	training	NOUN
fcis-1497	100	13	data	datum	NOUN
fcis-1497	100	14	and	and	CCONJ
fcis-1497	100	15	10	10	NUM
fcis-1497	100	16	%	%	NOUN
fcis-1497	100	17	of	of	ADP
fcis-1497	100	18	interactions	interaction	NOUN
fcis-1497	100	19	as	as	ADP
fcis-1497	100	20	validation	validation	NOUN
fcis-1497	100	21	data	datum	NOUN
fcis-1497	100	22	.	.	PUNCT
fcis-1497	101	1	the	the	DET
fcis-1497	101	2	remaining	remain	VERB
fcis-1497	101	3	10	10	NUM
fcis-1497	101	4	%	%	NOUN
fcis-1497	101	5	interactions	interaction	NOUN
fcis-1497	101	6	are	be	AUX
fcis-1497	101	7	used	use	VERB
fcis-1497	101	8	for	for	ADP
fcis-1497	101	9	performance	performance	NOUN
fcis-1497	101	10	comparison	comparison	NOUN
fcis-1497	101	11	.	.	PUNCT
fcis-1497	102	1	we	we	PRON
fcis-1497	102	2	uniformly	uniformly	ADV
fcis-1497	102	3	sample	sample	VERB
fcis-1497	102	4	one	one	NUM
fcis-1497	102	5	negative	negative	ADJ
fcis-1497	102	6	item	item	NOUN
fcis-1497	102	7	for	for	ADP
fcis-1497	102	8	each	each	DET
fcis-1497	102	9	positive	positive	ADJ
fcis-1497	102	10	instance	instance	NOUN
fcis-1497	102	11	to	to	PART
fcis-1497	102	12	form	form	VERB
fcis-1497	102	13	the	the	DET
fcis-1497	102	14	training	training	NOUN
fcis-1497	102	15	set	set	NOUN
fcis-1497	102	16	.	.	PUNCT
fcis-1497	103	1	to	to	PART
fcis-1497	103	2	ensure	ensure	VERB
fcis-1497	103	3	a	a	DET
fcis-1497	103	4	fair	fair	ADJ
fcis-1497	103	5	comparison	comparison	NOUN
fcis-1497	103	6	,	,	PUNCT
fcis-1497	103	7	we	we	PRON
fcis-1497	103	8	optimize	optimize	VERB
fcis-1497	103	9	all	all	DET
fcis-1497	103	10	the	the	DET
fcis-1497	103	11	methods	method	NOUN
fcis-1497	103	12	with	with	ADP
fcis-1497	103	13	adam	adam	PROPN
fcis-1497	103	14	optimizer	optimizer	NOUN
fcis-1497	103	15	and	and	CCONJ
fcis-1497	103	16	carefully	carefully	ADV
fcis-1497	103	17	search	search	VERB
fcis-1497	103	18	the	the	DET
fcis-1497	103	19	hyper	hyper	NOUN
fcis-1497	103	20	-	-	NOUN
fcis-1497	103	21	parameters	parameter	NOUN
fcis-1497	103	22	of	of	ADP
fcis-1497	103	23	all	all	DET
fcis-1497	103	24	the	the	DET
fcis-1497	103	25	baselines	baseline	NOUN
fcis-1497	103	26	.	.	PUNCT
fcis-1497	104	1	4.4	4.4	NUM
fcis-1497	104	2	.	.	PUNCT
fcis-1497	105	1	result	result	NOUN
fcis-1497	105	2	table	table	NOUN
fcis-1497	105	3	2	2	NUM
fcis-1497	105	4	.	.	PUNCT
fcis-1497	106	1	the	the	DET
fcis-1497	106	2	comparison	comparison	NOUN
fcis-1497	106	3	of	of	ADP
fcis-1497	106	4	overall	overall	ADJ
fcis-1497	106	5	performance	performance	NOUN
fcis-1497	106	6	among	among	ADP
fcis-1497	106	7	gcnfe	gcnfe	NOUN
fcis-1497	106	8	and	and	CCONJ
fcis-1497	106	9	competing	compete	VERB
fcis-1497	106	10	methods	method	NOUN
fcis-1497	106	11	our	our	PRON
fcis-1497	106	12	experimental	experimental	ADJ
fcis-1497	106	13	results	result	NOUN
fcis-1497	106	14	are	be	AUX
fcis-1497	106	15	shown	show	VERB
fcis-1497	106	16	in	in	ADP
fcis-1497	106	17	table	table	NOUN
fcis-1497	106	18	2	2	NUM
fcis-1497	106	19	.	.	PUNCT
fcis-1497	107	1	it	it	PRON
fcis-1497	107	2	can	can	AUX
fcis-1497	107	3	be	be	AUX
fcis-1497	107	4	seen	see	VERB
fcis-1497	107	5	that	that	SCONJ
fcis-1497	107	6	our	our	PRON
fcis-1497	107	7	model	model	NOUN
fcis-1497	107	8	has	have	VERB
fcis-1497	107	9	the	the	DET
fcis-1497	107	10	best	good	ADJ
fcis-1497	107	11	effect	effect	NOUN
fcis-1497	107	12	in	in	ADP
fcis-1497	107	13	most	most	ADJ
fcis-1497	107	14	cases	case	NOUN
fcis-1497	107	15	,	,	PUNCT
fcis-1497	107	16	only	only	ADV
fcis-1497	107	17	slightly	slightly	ADV
fcis-1497	107	18	inferior	inferior	ADJ
fcis-1497	107	19	to	to	ADP
fcis-1497	107	20	ngcf	ngcf	PROPN
fcis-1497	107	21	model	model	NOUN
fcis-1497	107	22	on	on	ADP
fcis-1497	107	23	ml-100k	ml-100k	PROPN
fcis-1497	107	24	dataset	dataset	NOUN
fcis-1497	107	25	.	.	PUNCT
fcis-1497	108	1	this	this	PRON
fcis-1497	108	2	shows	show	VERB
fcis-1497	108	3	that	that	SCONJ
fcis-1497	108	4	we	we	PRON
fcis-1497	108	5	can	can	AUX
fcis-1497	108	6	improve	improve	VERB
fcis-1497	108	7	the	the	DET
fcis-1497	108	8	training	training	NOUN
fcis-1497	108	9	effect	effect	NOUN
fcis-1497	108	10	of	of	ADP
fcis-1497	108	11	the	the	DET
fcis-1497	108	12	model	model	NOUN
fcis-1497	108	13	by	by	ADP
fcis-1497	108	14	introducing	introduce	VERB
fcis-1497	108	15	more	more	ADJ
fcis-1497	108	16	information	information	NOUN
fcis-1497	108	17	into	into	ADP
fcis-1497	108	18	the	the	DET
fcis-1497	108	19	model	model	NOUN
fcis-1497	108	20	in	in	ADP
fcis-1497	108	21	the	the	DET
fcis-1497	108	22	vector	vector	NOUN
fcis-1497	108	23	embedding	embed	VERB
fcis-1497	108	24	layer	layer	NOUN
fcis-1497	108	25	.	.	PUNCT
fcis-1497	109	1	85	85	NUM
fcis-1497	109	2	5	5	NUM
fcis-1497	109	3	.	.	PUNCT
fcis-1497	109	4	conclusion	conclusion	NOUN
fcis-1497	109	5	we	we	PRON
fcis-1497	109	6	propose	propose	VERB
fcis-1497	109	7	a	a	DET
fcis-1497	109	8	new	new	ADJ
fcis-1497	109	9	graph	graph	NOUN
fcis-1497	109	10	network	network	NOUN
fcis-1497	109	11	recommender	recommender	NOUN
fcis-1497	109	12	system	system	NOUN
fcis-1497	109	13	model	model	NOUN
fcis-1497	109	14	,	,	PUNCT
fcis-1497	109	15	gcnfe	gcnfe	NOUN
fcis-1497	109	16	.	.	PUNCT
fcis-1497	110	1	in	in	ADP
fcis-1497	110	2	the	the	DET
fcis-1497	110	3	vector	vector	NOUN
fcis-1497	110	4	embedding	embed	VERB
fcis-1497	110	5	stage	stage	NOUN
fcis-1497	110	6	,	,	PUNCT
fcis-1497	110	7	user	user	NOUN
fcis-1497	110	8	information	information	NOUN
fcis-1497	110	9	is	be	AUX
fcis-1497	110	10	encoded	encode	VERB
fcis-1497	110	11	by	by	ADP
fcis-1497	110	12	one	one	NUM
fcis-1497	110	13	-	-	PUNCT
fcis-1497	110	14	hot	hot	ADJ
fcis-1497	110	15	and	and	CCONJ
fcis-1497	110	16	combined	combine	VERB
fcis-1497	110	17	with	with	ADP
fcis-1497	110	18	randomly	randomly	ADV
fcis-1497	110	19	generated	generate	VERB
fcis-1497	110	20	user	user	NOUN
fcis-1497	110	21	embeddings	embedding	NOUN
fcis-1497	110	22	and	and	CCONJ
fcis-1497	110	23	item	item	NOUN
fcis-1497	110	24	embeddings	embedding	NOUN
fcis-1497	110	25	,	,	PUNCT
fcis-1497	110	26	so	so	SCONJ
fcis-1497	110	27	that	that	SCONJ
fcis-1497	110	28	the	the	DET
fcis-1497	110	29	model	model	NOUN
fcis-1497	110	30	can	can	AUX
fcis-1497	110	31	obtain	obtain	VERB
fcis-1497	110	32	more	more	ADJ
fcis-1497	110	33	information	information	NOUN
fcis-1497	110	34	.	.	PUNCT
fcis-1497	111	1	we	we	PRON
fcis-1497	111	2	compared	compare	VERB
fcis-1497	111	3	our	our	PRON
fcis-1497	111	4	model	model	NOUN
fcis-1497	111	5	with	with	ADP
fcis-1497	111	6	the	the	DET
fcis-1497	111	7	other	other	ADJ
fcis-1497	111	8	four	four	NUM
fcis-1497	111	9	models	model	NOUN
fcis-1497	111	10	on	on	ADP
fcis-1497	111	11	ml-100k	ml-100k	PROPN
fcis-1497	111	12	,	,	PUNCT
fcis-1497	111	13	ml-1	ml-1	PRON
fcis-1497	111	14	m	m	PROPN
fcis-1497	111	15	and	and	CCONJ
fcis-1497	111	16	last	last	ADJ
fcis-1497	111	17	-	-	PUNCT
fcis-1497	111	18	fm	fm	NOUN
fcis-1497	111	19	datasets	dataset	NOUN
fcis-1497	111	20	,	,	PUNCT
fcis-1497	111	21	and	and	CCONJ
fcis-1497	111	22	proved	prove	VERB
fcis-1497	111	23	the	the	DET
fcis-1497	111	24	effectiveness	effectiveness	NOUN
fcis-1497	111	25	of	of	ADP
fcis-1497	111	26	our	our	PRON
fcis-1497	111	27	model	model	NOUN
fcis-1497	111	28	.	.	PUNCT
fcis-1497	112	1	references	reference	NOUN
fcis-1497	112	2	[	[	X
fcis-1497	112	3	1	1	NUM
fcis-1497	112	4	]	]	X
fcis-1497	112	5	gao	gao	PROPN
fcis-1497	112	6	c	c	PROPN
fcis-1497	112	7	,	,	PUNCT
fcis-1497	112	8	zheng	zheng	PROPN
fcis-1497	112	9	y	y	PROPN
fcis-1497	112	10	,	,	PUNCT
fcis-1497	112	11	li	li	PROPN
fcis-1497	112	12	n	n	PROPN
fcis-1497	112	13	,	,	PUNCT
fcis-1497	112	14	et	et	PROPN
fcis-1497	112	15	al	al	PROPN
fcis-1497	112	16	.	.	PROPN
fcis-1497	113	1	graph	graph	NOUN
fcis-1497	113	2	neural	neural	ADJ
fcis-1497	113	3	networks	network	NOUN
fcis-1497	113	4	for	for	ADP
fcis-1497	113	5	recommender	recommender	NOUN
fcis-1497	113	6	systems	system	NOUN
fcis-1497	113	7	:	:	PUNCT
fcis-1497	113	8	challenges	challenge	NOUN
fcis-1497	113	9	,	,	PUNCT
fcis-1497	113	10	methods	method	NOUN
fcis-1497	113	11	,	,	PUNCT
fcis-1497	113	12	and	and	CCONJ
fcis-1497	113	13	directions[j	directions[j	PROPN
fcis-1497	113	14	]	]	PUNCT
fcis-1497	113	15	.	.	PUNCT
fcis-1497	114	1	2021	2021	NUM
fcis-1497	114	2	.	.	PUNCT
fcis-1497	115	1	[	[	X
fcis-1497	115	2	2	2	NUM
fcis-1497	115	3	]	]	PUNCT
fcis-1497	115	4	resnick	resnick	PROPN
fcis-1497	115	5	p	p	PROPN
fcis-1497	115	6	,	,	PUNCT
fcis-1497	115	7	varian	varian	PROPN
fcis-1497	115	8	h	h	PROPN
fcis-1497	115	9	r.	r.	PROPN
fcis-1497	115	10	recommender	recommender	PROPN
fcis-1497	115	11	systems	system	NOUN
fcis-1497	116	1	[	[	X
fcis-1497	116	2	j	j	X
fcis-1497	116	3	]	]	X
fcis-1497	116	4	.	.	PUNCT
fcis-1497	117	1	commun	commun	PROPN
fcis-1497	117	2	acm	acm	PROPN
fcis-1497	117	3	,	,	PUNCT
fcis-1497	117	4	1997	1997	NUM
fcis-1497	117	5	,	,	PUNCT
fcis-1497	117	6	40(3	40(3	NUM
fcis-1497	117	7	):	):	PUNCT
fcis-1497	117	8	56–58	56–58	NUM
fcis-1497	117	9	.	.	PUNCT
fcis-1497	118	1	[	[	X
fcis-1497	118	2	3	3	X
fcis-1497	118	3	]	]	X
fcis-1497	118	4	s.	s.	PROPN
fcis-1497	118	5	rendle	rendle	PROPN
fcis-1497	118	6	.	.	PUNCT
fcis-1497	119	1	factorization	factorization	PROPN
fcis-1497	119	2	machines[c	machines[c	PROPN
fcis-1497	119	3	]	]	PUNCT
fcis-1497	119	4	.	.	PUNCT
fcis-1497	120	1	2010	2010	NUM
fcis-1497	120	2	ieee	ieee	PROPN
fcis-1497	120	3	international	international	ADJ
fcis-1497	120	4	conference	conference	NOUN
fcis-1497	120	5	on	on	ADP
fcis-1497	120	6	data	datum	NOUN
fcis-1497	120	7	mining	mining	NOUN
fcis-1497	120	8	,	,	PUNCT
fcis-1497	120	9	2010	2010	NUM
fcis-1497	120	10	.	.	PUNCT
fcis-1497	121	1	[	[	X
fcis-1497	121	2	4	4	X
fcis-1497	121	3	]	]	PUNCT
fcis-1497	121	4	he	he	PRON
fcis-1497	121	5	x	x	X
fcis-1497	121	6	,	,	PUNCT
fcis-1497	121	7	chua	chua	PROPN
fcis-1497	121	8	t	t	PROPN
fcis-1497	121	9	s	s	PROPN
fcis-1497	121	10	.	.	PUNCT
fcis-1497	121	11	neural	neural	ADJ
fcis-1497	121	12	factorization	factorization	NOUN
fcis-1497	121	13	machines	machine	NOUN
fcis-1497	121	14	for	for	ADP
fcis-1497	121	15	sparse	sparse	ADJ
fcis-1497	121	16	predictive	predictive	NOUN
fcis-1497	121	17	analytics[c]//	analytics[c]//	PROPN
fcis-1497	121	18	acm	acm	PROPN
fcis-1497	121	19	.	.	PUNCT
fcis-1497	121	20	acm	acm	PROPN
fcis-1497	121	21	,	,	PUNCT
fcis-1497	121	22	2017:355	2017:355	NUM
fcis-1497	121	23	-	-	SYM
fcis-1497	121	24	364	364	NUM
fcis-1497	121	25	.	.	PUNCT
fcis-1497	122	1	[	[	X
fcis-1497	122	2	5	5	NUM
fcis-1497	122	3	]	]	X
fcis-1497	122	4	richardson	richardson	PROPN
fcis-1497	122	5	,	,	PUNCT
fcis-1497	122	6	matthew	matthew	PROPN
fcis-1497	122	7	,	,	PUNCT
fcis-1497	122	8	dominowska	dominowska	PROPN
fcis-1497	122	9	,	,	PUNCT
fcis-1497	122	10	et	et	PROPN
fcis-1497	122	11	al	al	PROPN
fcis-1497	122	12	.	.	PROPN
fcis-1497	122	13	predicting	predict	VERB
fcis-1497	122	14	clicks	click	NOUN
fcis-1497	122	15	:	:	PUNCT
fcis-1497	122	16	estimating	estimate	VERB
fcis-1497	122	17	the	the	DET
fcis-1497	122	18	click	click	VERB
fcis-1497	122	19	-	-	PUNCT
fcis-1497	122	20	through	through	ADP
fcis-1497	122	21	rate	rate	NOUN
fcis-1497	122	22	for	for	ADP
fcis-1497	122	23	new	new	ADJ
fcis-1497	122	24	ads[c]//	ads[c]//	NOUN
fcis-1497	122	25	the	the	DET
fcis-1497	122	26	16th	16th	ADJ
fcis-1497	122	27	international	international	ADJ
fcis-1497	122	28	conference	conference	NOUN
fcis-1497	122	29	.	.	PUNCT
fcis-1497	122	30	acm	acm	PROPN
fcis-1497	122	31	,	,	PUNCT
fcis-1497	122	32	2007	2007	NUM
fcis-1497	122	33	.	.	PUNCT
fcis-1497	123	1	[	[	X
fcis-1497	123	2	6	6	NUM
fcis-1497	123	3	]	]	X
fcis-1497	123	4	gao	gao	PROPN
fcis-1497	123	5	m	m	PROPN
fcis-1497	123	6	,	,	PUNCT
fcis-1497	123	7	cao	cao	PROPN
fcis-1497	123	8	f	f	PROPN
fcis-1497	123	9	y	y	PROPN
fcis-1497	123	10	,	,	PUNCT
fcis-1497	124	1	huang	huang	PROPN
fcis-1497	124	2	j	j	PROPN
fcis-1497	124	3	z.	z.	PROPN
fcis-1497	124	4	a	a	DET
fcis-1497	124	5	cross	cross	NOUN
fcis-1497	124	6	cluster	cluster	NOUN
fcis-1497	124	7	-	-	PUNCT
fcis-1497	124	8	based	base	VERB
fcis-1497	124	9	collaborative	collaborative	ADJ
fcis-1497	124	10	filtering	filtering	NOUN
fcis-1497	124	11	method	method	NOUN
fcis-1497	124	12	for	for	ADP
fcis-1497	124	13	recommendation[c	recommendation[c	NOUN
fcis-1497	124	14	]	]	PUNCT
fcis-1497	124	15	.	.	PUNCT
fcis-1497	125	1	2013	2013	NUM
fcis-1497	125	2	ieee	ieee	PROPN
fcis-1497	125	3	international	international	ADJ
fcis-1497	125	4	conference	conference	NOUN
fcis-1497	125	5	on	on	ADP
fcis-1497	125	6	information	information	NOUN
fcis-1497	125	7	and	and	CCONJ
fcis-1497	125	8	automation	automation	NOUN
fcis-1497	125	9	,	,	PUNCT
fcis-1497	125	10	2013	2013	NUM
fcis-1497	125	11	:	:	PUNCT
fcis-1497	125	12	447	447	NUM
fcis-1497	125	13	-	-	SYM
fcis-1497	125	14	452	452	NUM
fcis-1497	125	15	.	.	PUNCT
fcis-1497	126	1	[	[	X
fcis-1497	126	2	7	7	X
fcis-1497	126	3	]	]	PUNCT
fcis-1497	126	4	shani	shani	NOUN
fcis-1497	126	5	g	g	NOUN
fcis-1497	126	6	,	,	PUNCT
fcis-1497	126	7	brafman	brafman	ADJ
fcis-1497	126	8	r	r	PROPN
fcis-1497	126	9	i	i	PROPN
fcis-1497	126	10	,	,	PUNCT
fcis-1497	126	11	heckerman	heckerman	PROPN
fcis-1497	126	12	d.	d.	PROPN
fcis-1497	126	13	an	an	DET
fcis-1497	126	14	mdp	mdp	PROPN
fcis-1497	126	15	-	-	PUNCT
fcis-1497	126	16	based	base	VERB
fcis-1497	126	17	recommender	recommender	NOUN
fcis-1497	126	18	system	system	NOUN
fcis-1497	127	1	[	[	X
fcis-1497	127	2	j	j	X
fcis-1497	127	3	]	]	X
fcis-1497	127	4	.	.	PUNCT
fcis-1497	128	1	journal	journal	PROPN
fcis-1497	128	2	of	of	ADP
fcis-1497	128	3	machine	machine	NOUN
fcis-1497	128	4	learning	learn	VERB
fcis-1497	128	5	research	research	NOUN
fcis-1497	128	6	,	,	PUNCT
fcis-1497	128	7	2005	2005	NUM
fcis-1497	128	8	,	,	PUNCT
fcis-1497	128	9	6	6	NUM
fcis-1497	128	10	:	:	SYM
fcis-1497	128	11	1265	1265	NUM
fcis-1497	128	12	-	-	SYM
fcis-1497	128	13	1295	1295	NUM
fcis-1497	128	14	.	.	PUNCT
fcis-1497	129	1	[	[	X
fcis-1497	129	2	8	8	X
fcis-1497	129	3	]	]	X
fcis-1497	129	4	koren	koren	PROPN
fcis-1497	129	5	y	y	PROPN
fcis-1497	129	6	,	,	PUNCT
fcis-1497	129	7	bell	bell	PROPN
fcis-1497	129	8	r	r	NOUN
fcis-1497	129	9	,	,	PUNCT
fcis-1497	129	10	volinsky	volinsky	PROPN
fcis-1497	129	11	c	c	PROPN
fcis-1497	129	12	.	.	PUNCT
fcis-1497	130	1	matrix	matrix	NOUN
fcis-1497	130	2	factorization	factorization	NOUN
fcis-1497	130	3	techniques	technique	NOUN
fcis-1497	130	4	for	for	ADP
fcis-1497	130	5	recommender	recommender	NOUN
fcis-1497	130	6	systems[j	systems[j	PROPN
fcis-1497	130	7	]	]	PUNCT
fcis-1497	130	8	.	.	PUNCT
fcis-1497	131	1	computer	computer	NOUN
fcis-1497	131	2	,	,	PUNCT
fcis-1497	131	3	2009	2009	NUM
fcis-1497	131	4	,	,	PUNCT
fcis-1497	131	5	42(8):30	42(8):30	NUM
fcis-1497	131	6	-	-	SYM
fcis-1497	131	7	37	37	NUM
fcis-1497	131	8	.	.	PUNCT
fcis-1497	132	1	[	[	X
fcis-1497	132	2	9	9	NUM
fcis-1497	132	3	]	]	X
fcis-1497	132	4	hamilton	hamilton	PROPN
fcis-1497	132	5	w	w	PROPN
fcis-1497	132	6	l	l	PROPN
fcis-1497	132	7	,	,	PUNCT
fcis-1497	132	8	ying	ying	PROPN
fcis-1497	132	9	r	r	NOUN
fcis-1497	132	10	,	,	PUNCT
fcis-1497	132	11	leskovec	leskovec	ADP
fcis-1497	132	12	j	j	PROPN
fcis-1497	132	13	.	.	PUNCT
fcis-1497	133	1	inductive	inductive	PROPN
fcis-1497	133	2	representation	representation	NOUN
fcis-1497	133	3	learning	learn	VERB
fcis-1497	133	4	on	on	ADP
fcis-1497	133	5	large	large	ADJ
fcis-1497	133	6	graphs[c]//	graphs[c]//	PROPN
fcis-1497	133	7	2017	2017	NUM
fcis-1497	133	8	.	.	PUNCT
fcis-1497	134	1	[	[	X
fcis-1497	134	2	10	10	NUM
fcis-1497	134	3	]	]	X
fcis-1497	134	4	wang	wang	PROPN
fcis-1497	134	5	x	x	X
fcis-1497	134	6	,	,	PUNCT
fcis-1497	134	7	he	he	PRON
fcis-1497	134	8	x	x	X
fcis-1497	134	9	,	,	PUNCT
fcis-1497	134	10	wang	wang	PROPN
fcis-1497	134	11	m	m	PROPN
fcis-1497	134	12	,	,	PUNCT
fcis-1497	134	13	et	et	PROPN
fcis-1497	134	14	al	al	PROPN
fcis-1497	134	15	.	.	PROPN
fcis-1497	134	16	neural	neural	PROPN
fcis-1497	134	17	graph	graph	NOUN
fcis-1497	134	18	collaborative	collaborative	ADJ
fcis-1497	134	19	filtering[j	filtering[j	NOUN
fcis-1497	134	20	]	]	PUNCT
fcis-1497	134	21	.	.	PUNCT
fcis-1497	135	1	acm	acm	PROPN
fcis-1497	135	2	,	,	PUNCT
fcis-1497	135	3	2019	2019	NUM
fcis-1497	135	4	.	.	PUNCT
fcis-1497	136	1	[	[	X
fcis-1497	136	2	11	11	NUM
fcis-1497	136	3	]	]	PUNCT
fcis-1497	136	4	he	he	PRON
fcis-1497	136	5	x	x	X
fcis-1497	136	6	,	,	PUNCT
fcis-1497	136	7	deng	deng	PROPN
fcis-1497	136	8	k	k	PROPN
fcis-1497	136	9	,	,	PUNCT
fcis-1497	136	10	wang	wang	PROPN
fcis-1497	136	11	x	x	X
fcis-1497	136	12	,	,	PUNCT
fcis-1497	136	13	et	et	PROPN
fcis-1497	136	14	al	al	PROPN
fcis-1497	136	15	.	.	PROPN
fcis-1497	136	16	lightgcn	lightgcn	PROPN
fcis-1497	136	17	:	:	PUNCT
fcis-1497	136	18	simplifying	simplify	VERB
fcis-1497	136	19	and	and	CCONJ
fcis-1497	136	20	powering	power	VERB
fcis-1497	136	21	graph	graph	NOUN
fcis-1497	136	22	convolution	convolution	NOUN
fcis-1497	136	23	network	network	NOUN
fcis-1497	136	24	for	for	ADP
fcis-1497	136	25	recommendation[c]//	recommendation[c]//	PROPN
fcis-1497	136	26	sigir	sigir	PROPN
fcis-1497	136	27	'	'	PUNCT
fcis-1497	136	28	20	20	NUM
fcis-1497	136	29	:	:	PUNCT
fcis-1497	136	30	the	the	DET
fcis-1497	136	31	43rd	43rd	PROPN
fcis-1497	136	32	international	international	PROPN
fcis-1497	136	33	acm	acm	PROPN
fcis-1497	136	34	sigir	sigir	PROPN
fcis-1497	136	35	conference	conference	PROPN
fcis-1497	136	36	on	on	ADP
fcis-1497	136	37	research	research	NOUN
fcis-1497	136	38	and	and	CCONJ
fcis-1497	136	39	development	development	NOUN
fcis-1497	136	40	in	in	ADP
fcis-1497	136	41	information	information	NOUN
fcis-1497	136	42	retrieval	retrieval	NOUN
fcis-1497	136	43	.	.	PUNCT
fcis-1497	137	1	acm	acm	PROPN
fcis-1497	137	2	,	,	PUNCT
fcis-1497	137	3	2020	2020	NUM
fcis-1497	137	4	.	.	PUNCT
fcis-1497	138	1	[	[	X
fcis-1497	138	2	12	12	NUM
fcis-1497	138	3	]	]	X
fcis-1497	138	4	fan	fan	PROPN
fcis-1497	138	5	w	w	PROPN
fcis-1497	138	6	,	,	PUNCT
fcis-1497	138	7	yao	yao	PROPN
fcis-1497	138	8	m	m	PROPN
fcis-1497	138	9	,	,	PUNCT
fcis-1497	138	10	li	li	PROPN
fcis-1497	138	11	q	q	PROPN
fcis-1497	138	12	,	,	PUNCT
fcis-1497	138	13	et	et	PROPN
fcis-1497	138	14	al	al	PROPN
fcis-1497	138	15	.	.	PROPN
fcis-1497	139	1	graph	graph	NOUN
fcis-1497	139	2	neural	neural	ADJ
fcis-1497	139	3	networks	network	NOUN
fcis-1497	139	4	for	for	ADP
fcis-1497	139	5	social	social	ADJ
fcis-1497	139	6	recommendation[j	recommendation[j	PROPN
fcis-1497	139	7	]	]	PUNCT
fcis-1497	139	8	.	.	PUNCT
fcis-1497	140	1	2019	2019	NUM
fcis-1497	140	2	.	.	PUNCT
fcis-1497	141	1	[	[	X
fcis-1497	141	2	13	13	NUM
fcis-1497	141	3	]	]	X
fcis-1497	141	4	wang	wang	PROPN
fcis-1497	141	5	x	x	X
fcis-1497	141	6	,	,	PUNCT
fcis-1497	141	7	he	he	PRON
fcis-1497	141	8	x	x	X
fcis-1497	141	9	,	,	PUNCT
fcis-1497	141	10	cao	cao	PROPN
fcis-1497	141	11	y	y	PROPN
fcis-1497	141	12	,	,	PUNCT
fcis-1497	141	13	et	et	PROPN
fcis-1497	141	14	al	al	PROPN
fcis-1497	141	15	.	.	PUNCT
fcis-1497	141	16	kgat	kgat	PROPN
fcis-1497	141	17	:	:	PUNCT
fcis-1497	141	18	knowledge	knowledge	NOUN
fcis-1497	141	19	graph	graph	NOUN
fcis-1497	141	20	attention	attention	NOUN
fcis-1497	141	21	network	network	NOUN
fcis-1497	141	22	for	for	ADP
fcis-1497	141	23	recommendation[c]//	recommendation[c]//	PROPN
fcis-1497	141	24	knowledge	knowledge	NOUN
fcis-1497	141	25	discovery	discovery	PROPN
fcis-1497	141	26	and	and	CCONJ
fcis-1497	141	27	data	datum	NOUN
fcis-1497	141	28	mining	mining	NOUN
fcis-1497	141	29	.	.	PUNCT
fcis-1497	142	1	acm	acm	PROPN
fcis-1497	142	2	,	,	PUNCT
fcis-1497	142	3	2019	2019	NUM
fcis-1497	142	4	.	.	PUNCT
fcis-1497	143	1	[	[	X
fcis-1497	143	2	14	14	NUM
fcis-1497	143	3	]	]	X
fcis-1497	143	4	s	s	VERB
fcis-1497	143	5	rendle	rendle	NOUN
fcis-1497	143	6	,	,	PUNCT
fcis-1497	143	7	c	c	NOUN
fcis-1497	143	8	freudenthaler	freudenthaler	NOUN
fcis-1497	143	9	,	,	PUNCT
fcis-1497	143	10	z	z	NOUN
fcis-1497	143	11	gantner	gantner	NOUN
fcis-1497	143	12	,	,	PUNCT
fcis-1497	143	13	et	et	PROPN
fcis-1497	143	14	al	al	PROPN
fcis-1497	143	15	.	.	PROPN
fcis-1497	143	16	bpr	bpr	PROPN
fcis-1497	143	17	:	:	PUNCT
fcis-1497	143	18	bayesian	bayesian	NOUN
fcis-1497	143	19	personalized	personalize	VERB
fcis-1497	143	20	ranking	rank	VERB
fcis-1497	143	21	from	from	ADP
fcis-1497	143	22	implicit	implicit	ADJ
fcis-1497	143	23	feedback[c]//	feedback[c]//	PROPN
fcis-1497	143	24	uai	uai	PROPN
fcis-1497	143	25	2009	2009	NUM
fcis-1497	143	26	,	,	PUNCT
fcis-1497	143	27	proceedings	proceeding	NOUN
fcis-1497	143	28	of	of	ADP
fcis-1497	143	29	the	the	DET
fcis-1497	143	30	twenty	twenty	NUM
fcis-1497	143	31	-	-	PUNCT
fcis-1497	143	32	fifth	fifth	ADJ
fcis-1497	143	33	conference	conference	NOUN
fcis-1497	143	34	on	on	ADP
fcis-1497	143	35	uncertainty	uncertainty	NOUN
fcis-1497	143	36	in	in	ADP
fcis-1497	143	37	artificial	artificial	ADJ
fcis-1497	143	38	intelligence	intelligence	NOUN
fcis-1497	143	39	,	,	PUNCT
fcis-1497	143	40	montreal	montreal	PROPN
fcis-1497	143	41	,	,	PUNCT
fcis-1497	143	42	qc	qc	PROPN
fcis-1497	143	43	,	,	PUNCT
fcis-1497	143	44	canada	canada	PROPN
fcis-1497	143	45	,	,	PUNCT
fcis-1497	143	46	june	june	PROPN
fcis-1497	143	47	18	18	NUM
fcis-1497	143	48	-	-	SYM
fcis-1497	143	49	21	21	NUM
fcis-1497	143	50	,	,	PUNCT
fcis-1497	143	51	2009	2009	NUM
fcis-1497	143	52	.	.	PUNCT
fcis-1497	144	1	auai	auai	PROPN
fcis-1497	144	2	press	press	PROPN
fcis-1497	144	3	,	,	PUNCT
fcis-1497	144	4	2009	2009	NUM
fcis-1497	144	5	.	.	PUNCT
fcis-1497	145	1	[	[	X
fcis-1497	145	2	15	15	NUM
fcis-1497	145	3	]	]	X
fcis-1497	145	4	wu	wu	PROPN
fcis-1497	145	5	s	s	PROPN
fcis-1497	145	6	,	,	PUNCT
fcis-1497	145	7	sun	sun	PROPN
fcis-1497	145	8	f	f	PROPN
fcis-1497	145	9	,	,	PUNCT
fcis-1497	145	10	zhang	zhang	PROPN
fcis-1497	145	11	w	w	PROPN
fcis-1497	145	12	,	,	PUNCT
fcis-1497	145	13	et	et	PROPN
fcis-1497	145	14	al	al	PROPN
fcis-1497	145	15	.	.	PROPN
fcis-1497	146	1	graph	graph	NOUN
fcis-1497	146	2	neural	neural	ADJ
fcis-1497	146	3	networks	network	NOUN
fcis-1497	146	4	in	in	ADP
fcis-1497	146	5	recommender	recommender	NOUN
fcis-1497	146	6	systems	system	NOUN
fcis-1497	146	7	:	:	PUNCT
fcis-1497	146	8	a	a	DET
fcis-1497	146	9	survey[j	survey[j	PROPN
fcis-1497	146	10	]	]	PUNCT
fcis-1497	146	11	.	.	PUNCT
fcis-1497	147	1	2020	2020	NUM
fcis-1497	147	2	.	.	PUNCT
fcis-1497	148	1	[	[	X
fcis-1497	148	2	16	16	NUM
fcis-1497	148	3	]	]	PUNCT
fcis-1497	148	4	he	he	PRON
fcis-1497	148	5	x	x	SYM
fcis-1497	148	6	,	,	PUNCT
fcis-1497	148	7	liao	liao	PROPN
fcis-1497	148	8	l	l	PROPN
fcis-1497	148	9	,	,	PUNCT
fcis-1497	148	10	zhang	zhang	PROPN
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fcis-1497	148	12	,	,	PUNCT
fcis-1497	148	13	et	et	PROPN
fcis-1497	148	14	al	al	PROPN
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fcis-1497	148	17	collaborative	collaborative	ADJ
fcis-1497	148	18	filtering[j	filtering[j	NOUN
fcis-1497	148	19	]	]	PUNCT
fcis-1497	148	20	.	.	PUNCT
fcis-1497	149	1	international	international	ADJ
fcis-1497	149	2	world	world	NOUN
fcis-1497	149	3	wide	wide	ADJ
fcis-1497	149	4	web	web	NOUN
fcis-1497	149	5	conferences	conference	NOUN
fcis-1497	149	6	steering	steering	NOUN
fcis-1497	149	7	committee	committee	NOUN
fcis-1497	149	8	,	,	PUNCT
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fcis-1497	149	10	.	.	PUNCT
fcis-1497	150	1	[	[	X
fcis-1497	150	2	17	17	NUM
fcis-1497	150	3	]	]	X
fcis-1497	150	4	yang	yang	PROPN
fcis-1497	150	5	j	j	PROPN
fcis-1497	150	6	h	h	PROPN
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fcis-1497	150	18	.	.	PUNCT
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fcis-1497	151	2	-	-	PUNCT
fcis-1497	151	3	rec	rec	NOUN
fcis-1497	151	4	:	:	PUNCT
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fcis-1497	151	6	-	-	PUNCT
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fcis-1497	151	11	recommendation[c]//	recommendation[c]//	PROPN
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fcis-1497	151	13	12th	12th	PROPN
fcis-1497	151	14	acm	acm	PROPN
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fcis-1497	151	16	.	.	PUNCT
fcis-1497	152	1	acm	acm	PROPN
fcis-1497	152	2	,	,	PUNCT
fcis-1497	152	3	2018	2018	NUM
fcis-1497	152	4	.	.	PUNCT
fcis-1497	153	1	[	[	X
fcis-1497	153	2	18	18	NUM
fcis-1497	153	3	]	]	X
fcis-1497	153	4	zhao	zhao	PROPN
fcis-1497	153	5	w	w	PROPN
fcis-1497	153	6	x	x	X
fcis-1497	153	7	,	,	PUNCT
fcis-1497	153	8	mu	mu	PROPN
fcis-1497	153	9	s	s	PROPN
fcis-1497	153	10	,	,	PUNCT
fcis-1497	153	11	hou	hou	PROPN
fcis-1497	153	12	y	y	PROPN
fcis-1497	153	13	,	,	PUNCT
fcis-1497	153	14	et	et	PROPN
fcis-1497	153	15	al	al	PROPN
fcis-1497	153	16	.	.	PROPN
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fcis-1497	153	20	a	a	DET
fcis-1497	153	21	unified	unified	ADJ
fcis-1497	153	22	,	,	PUNCT
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fcis-1497	153	24	and	and	CCONJ
fcis-1497	153	25	efficient	efficient	ADJ
fcis-1497	153	26	framework	framework	NOUN
fcis-1497	153	27	for	for	ADP
fcis-1497	153	28	recommendation	recommendation	NOUN
fcis-1497	153	29	algorithms[c	algorithms[c	PROPN
fcis-1497	153	30	]	]	PUNCT
fcis-1497	153	31	.	.	PUNCT
fcis-1497	154	1	proceedings	proceeding	NOUN
fcis-1497	154	2	of	of	ADP
fcis-1497	154	3	the	the	DET
fcis-1497	154	4	30th	30th	ADJ
fcis-1497	154	5	acm	acm	PROPN
fcis-1497	154	6	international	international	ADJ
fcis-1497	154	7	conference	conference	NOUN
fcis-1497	154	8	on	on	ADP
fcis-1497	154	9	information	information	NOUN
fcis-1497	154	10	&	&	CCONJ
fcis-1497	154	11	knowledge	knowledge	PROPN
fcis-1497	154	12	management	management	NOUN
fcis-1497	154	13	,	,	PUNCT
fcis-1497	154	14	2021	2021	NUM
fcis-1497	154	15	.	.	PUNCT
fcis-1497	155	1	[	[	X
fcis-1497	155	2	19	19	NUM
fcis-1497	155	3	]	]	SYM
fcis-1497	155	4	f	f	PROPN
fcis-1497	155	5	,	,	PUNCT
fcis-1497	155	6	maxwell	maxwell	PROPN
fcis-1497	155	7	,	,	PUNCT
fcis-1497	155	8	harper	harper	PROPN
fcis-1497	155	9	,	,	PUNCT
fcis-1497	155	10	et	et	PROPN
fcis-1497	155	11	al	al	PROPN
fcis-1497	155	12	.	.	PUNCT
fcis-1497	156	1	the	the	DET
fcis-1497	156	2	movielens	movielen	NOUN
fcis-1497	156	3	datasets	dataset	NOUN
fcis-1497	156	4	:	:	PUNCT
fcis-1497	156	5	history	history	NOUN
fcis-1497	156	6	and	and	CCONJ
fcis-1497	156	7	context[j	context[j	NOUN
fcis-1497	156	8	]	]	PUNCT
fcis-1497	156	9	.	.	PUNCT
fcis-1497	157	1	acm	acm	PROPN
fcis-1497	157	2	transactions	transaction	NOUN
fcis-1497	157	3	on	on	ADP
fcis-1497	157	4	interactive	interactive	ADJ
fcis-1497	157	5	intelligent	intelligent	ADJ
fcis-1497	157	6	systems	system	NOUN
fcis-1497	157	7	,	,	PUNCT
fcis-1497	157	8	2015	2015	NUM
fcis-1497	157	9	.	.	PUNCT
fcis-1497	158	1	[	[	X
fcis-1497	158	2	20	20	NUM
fcis-1497	158	3	]	]	X
fcis-1497	158	4	henning	henning	NOUN
fcis-1497	158	5	v	v	PROPN
fcis-1497	158	6	,	,	PUNCT
fcis-1497	158	7	reichelt	reichelt	PROPN
fcis-1497	158	8	j	j	PROPN
fcis-1497	158	9	.	.	PUNCT
fcis-1497	159	1	mendeley	mendeley	PROPN
fcis-1497	159	2	a	a	DET
fcis-1497	159	3	last.fm	last.fm	NOUN
fcis-1497	159	4	for	for	ADP
fcis-1497	159	5	research?[c]//	research?[c]//	VERB
fcis-1497	159	6	escience	escience	NOUN
fcis-1497	159	7	,	,	PUNCT
fcis-1497	159	8	2008	2008	NUM
fcis-1497	159	9	.	.	PUNCT
fcis-1497	160	1	escience	escience	NOUN
fcis-1497	160	2	'	'	NUM
fcis-1497	160	3	08	08	NUM
fcis-1497	160	4	.	.	PUNCT
fcis-1497	161	1	ieee	ieee	PROPN
fcis-1497	161	2	fourth	fourth	PROPN
fcis-1497	161	3	international	international	PROPN
fcis-1497	161	4	conference	conference	NOUN
fcis-1497	161	5	on	on	ADP
fcis-1497	161	6	.	.	PUNCT
fcis-1497	162	1	ieee	ieee	PROPN
fcis-1497	162	2	,	,	PUNCT
fcis-1497	162	3	2009	2009	NUM
fcis-1497	162	4	.	.	PUNCT