id	sid	tid	token	lemma	pos
fcis-12974	1	1	frontiers	frontier	NOUN
fcis-12974	1	2	in	in	ADP
fcis-12974	1	3	computing	computing	NOUN
fcis-12974	1	4	and	and	CCONJ
fcis-12974	1	5	intelligent	intelligent	ADJ
fcis-12974	1	6	systems	system	NOUN
fcis-12974	1	7	issn	issn	VERB
fcis-12974	1	8	:	:	PUNCT
fcis-12974	1	9	2832	2832	NUM
fcis-12974	1	10	-	-	SYM
fcis-12974	1	11	6024	6024	NUM
fcis-12974	1	12	|	|	NOUN
fcis-12974	1	13	vol	vol	NOUN
fcis-12974	1	14	.	.	PROPN
fcis-12974	2	1	5	5	NUM
fcis-12974	2	2	,	,	PUNCT
fcis-12974	2	3	no	no	INTJ
fcis-12974	2	4	.	.	NOUN
fcis-12974	2	5	2	2	NUM
fcis-12974	2	6	,	,	PUNCT
fcis-12974	2	7	2023	2023	NUM
fcis-12974	2	8	85	85	NUM
fcis-12974	2	9	xgboost	xgboost	ADP
fcis-12974	2	10	analysis	analysis	NOUN
fcis-12974	2	11	based	base	VERB
fcis-12974	2	12	on	on	ADP
fcis-12974	2	13	consumer	consumer	NOUN
fcis-12974	2	14	behavior	behavior	NOUN
fcis-12974	2	15	kunpeng	kunpeng	PROPN
fcis-12974	2	16	cai	cai	PROPN
fcis-12974	2	17	,	,	PUNCT
fcis-12974	2	18	maria	maria	PROPN
fcis-12974	2	19	rosario	rosario	PROPN
fcis-12974	3	1	rodavia	rodavia	PROPN
fcis-12974	3	2	*	*	PUNCT
fcis-12974	3	3	graduate	graduate	PROPN
fcis-12974	3	4	school	school	NOUN
fcis-12974	3	5	,	,	PUNCT
fcis-12974	3	6	angeles	angeles	PROPN
fcis-12974	3	7	university	university	PROPN
fcis-12974	3	8	foundation	foundation	PROPN
fcis-12974	3	9	,	,	PUNCT
fcis-12974	3	10	angeles	angeles	PROPN
fcis-12974	3	11	city	city	PROPN
fcis-12974	3	12	,	,	PUNCT
fcis-12974	3	13	philippines	philippine	NOUN
fcis-12974	3	14	*	*	PUNCT
fcis-12974	3	15	corresponding	correspond	VERB
fcis-12974	3	16	author	author	NOUN
fcis-12974	3	17	:	:	PUNCT
fcis-12974	3	18	maria	maria	PROPN
fcis-12974	3	19	rosario	rosario	PROPN
fcis-12974	3	20	rodavia	rodavia	PROPN
fcis-12974	3	21	(	(	PUNCT
fcis-12974	3	22	email	email	NOUN
fcis-12974	3	23	:	:	PUNCT
fcis-12974	3	24	rose.rodavia@gmail.com	rose.rodavia@gmail.com	X
fcis-12974	3	25	)	)	PUNCT
fcis-12974	3	26	abstract	abstract	NOUN
fcis-12974	3	27	:	:	PUNCT
fcis-12974	3	28	with	with	ADP
fcis-12974	3	29	the	the	DET
fcis-12974	3	30	rapid	rapid	ADJ
fcis-12974	3	31	development	development	NOUN
fcis-12974	3	32	of	of	ADP
fcis-12974	3	33	the	the	DET
fcis-12974	3	34	internet	internet	NOUN
fcis-12974	3	35	and	and	CCONJ
fcis-12974	3	36	e	e	NOUN
fcis-12974	3	37	-	-	NOUN
fcis-12974	3	38	commerce	commerce	NOUN
fcis-12974	3	39	,	,	PUNCT
fcis-12974	3	40	a	a	DET
fcis-12974	3	41	large	large	ADJ
fcis-12974	3	42	amount	amount	NOUN
fcis-12974	3	43	of	of	ADP
fcis-12974	3	44	consumer	consumer	NOUN
fcis-12974	3	45	data	datum	NOUN
fcis-12974	3	46	has	have	AUX
fcis-12974	3	47	become	become	VERB
fcis-12974	3	48	available	available	ADJ
fcis-12974	3	49	,	,	PUNCT
fcis-12974	3	50	which	which	PRON
fcis-12974	3	51	allows	allow	VERB
fcis-12974	3	52	us	we	PRON
fcis-12974	3	53	to	to	PART
fcis-12974	3	54	better	well	ADV
fcis-12974	3	55	understand	understand	VERB
fcis-12974	3	56	consumer	consumer	NOUN
fcis-12974	3	57	preferences	preference	NOUN
fcis-12974	3	58	and	and	CCONJ
fcis-12974	3	59	purchasing	purchasing	NOUN
fcis-12974	3	60	trends	trend	NOUN
fcis-12974	3	61	.	.	PUNCT
fcis-12974	4	1	xgboost	xgboost	PROPN
fcis-12974	5	1	(	(	PUNCT
fcis-12974	5	2	extreme	extreme	ADJ
fcis-12974	5	3	gradient	gradient	NOUN
fcis-12974	5	4	boosting	boosting	NOUN
fcis-12974	5	5	)	)	PUNCT
fcis-12974	5	6	is	be	AUX
fcis-12974	5	7	a	a	DET
fcis-12974	5	8	powerful	powerful	ADJ
fcis-12974	5	9	machine	machine	NOUN
fcis-12974	5	10	learning	learn	VERB
fcis-12974	5	11	algorithm	algorithm	NOUN
fcis-12974	5	12	that	that	PRON
fcis-12974	5	13	performs	perform	VERB
fcis-12974	5	14	well	well	ADV
fcis-12974	5	15	when	when	SCONJ
fcis-12974	5	16	dealing	deal	VERB
fcis-12974	5	17	with	with	ADP
fcis-12974	5	18	large	large	ADJ
fcis-12974	5	19	data	datum	NOUN
fcis-12974	5	20	sets	set	NOUN
fcis-12974	5	21	and	and	CCONJ
fcis-12974	5	22	complex	complex	ADJ
fcis-12974	5	23	features	feature	NOUN
fcis-12974	5	24	.	.	PUNCT
fcis-12974	6	1	this	this	DET
fcis-12974	6	2	article	article	NOUN
fcis-12974	6	3	first	first	ADV
fcis-12974	6	4	introduces	introduce	VERB
fcis-12974	6	5	the	the	DET
fcis-12974	6	6	basic	basic	ADJ
fcis-12974	6	7	principles	principle	NOUN
fcis-12974	6	8	of	of	ADP
fcis-12974	6	9	the	the	DET
fcis-12974	6	10	xgboost	xgboost	PROPN
fcis-12974	6	11	algorithm	algorithm	PROPN
fcis-12974	6	12	,	,	PUNCT
fcis-12974	6	13	and	and	CCONJ
fcis-12974	6	14	then	then	ADV
fcis-12974	6	15	discusses	discuss	VERB
fcis-12974	6	16	in	in	ADP
fcis-12974	6	17	detail	detail	NOUN
fcis-12974	6	18	how	how	SCONJ
fcis-12974	6	19	to	to	PART
fcis-12974	6	20	apply	apply	VERB
fcis-12974	6	21	it	it	PRON
fcis-12974	6	22	to	to	ADP
fcis-12974	6	23	consumer	consumer	NOUN
fcis-12974	6	24	behavior	behavior	NOUN
fcis-12974	6	25	analysis	analysis	NOUN
fcis-12974	6	26	.	.	PUNCT
fcis-12974	7	1	this	this	DET
fcis-12974	7	2	paper	paper	NOUN
fcis-12974	7	3	uses	use	VERB
fcis-12974	7	4	real	real	ADJ
fcis-12974	7	5	consumer	consumer	NOUN
fcis-12974	7	6	data	datum	NOUN
fcis-12974	7	7	set	set	VERB
fcis-12974	7	8	,	,	PUNCT
fcis-12974	7	9	including	include	VERB
fcis-12974	7	10	multi	multi	ADJ
fcis-12974	7	11	-	-	ADJ
fcis-12974	7	12	dimensional	dimensional	ADJ
fcis-12974	7	13	information	information	NOUN
fcis-12974	7	14	such	such	ADJ
fcis-12974	7	15	as	as	ADP
fcis-12974	7	16	customer	customer	NOUN
fcis-12974	7	17	identification	identification	NOUN
fcis-12974	7	18	,	,	PUNCT
fcis-12974	7	19	product	product	NOUN
fcis-12974	7	20	identification	identification	NOUN
fcis-12974	7	21	and	and	CCONJ
fcis-12974	7	22	customer	customer	NOUN
fcis-12974	7	23	purchasing	purchasing	NOUN
fcis-12974	7	24	behavior	behavior	NOUN
fcis-12974	7	25	.	.	PUNCT
fcis-12974	8	1	by	by	ADP
fcis-12974	8	2	building	build	VERB
fcis-12974	8	3	the	the	DET
fcis-12974	8	4	xgboost	xgboost	PROPN
fcis-12974	8	5	model	model	PROPN
fcis-12974	8	6	,	,	PUNCT
fcis-12974	8	7	we	we	PRON
fcis-12974	8	8	are	be	AUX
fcis-12974	8	9	able	able	ADJ
fcis-12974	8	10	to	to	PART
fcis-12974	8	11	identify	identify	VERB
fcis-12974	8	12	important	important	ADJ
fcis-12974	8	13	features	feature	NOUN
fcis-12974	8	14	,	,	PUNCT
fcis-12974	8	15	predict	predict	VERB
fcis-12974	8	16	consumer	consumer	NOUN
fcis-12974	8	17	purchase	purchase	NOUN
fcis-12974	8	18	intentions	intention	NOUN
fcis-12974	8	19	,	,	PUNCT
fcis-12974	8	20	and	and	CCONJ
fcis-12974	8	21	provide	provide	VERB
fcis-12974	8	22	personalized	personalized	ADJ
fcis-12974	8	23	recommendations	recommendation	NOUN
fcis-12974	8	24	.	.	PUNCT
fcis-12974	9	1	in	in	ADP
fcis-12974	9	2	addition	addition	NOUN
fcis-12974	9	3	,	,	PUNCT
fcis-12974	9	4	the	the	DET
fcis-12974	9	5	performance	performance	NOUN
fcis-12974	9	6	evaluation	evaluation	NOUN
fcis-12974	9	7	and	and	CCONJ
fcis-12974	9	8	optimization	optimization	NOUN
fcis-12974	9	9	methods	method	NOUN
fcis-12974	9	10	of	of	ADP
fcis-12974	9	11	the	the	DET
fcis-12974	9	12	model	model	NOUN
fcis-12974	9	13	are	be	AUX
fcis-12974	9	14	discussed	discuss	VERB
fcis-12974	9	15	to	to	PART
fcis-12974	9	16	ensure	ensure	VERB
fcis-12974	9	17	its	its	PRON
fcis-12974	9	18	accuracy	accuracy	NOUN
fcis-12974	9	19	and	and	CCONJ
fcis-12974	9	20	practicability	practicability	NOUN
fcis-12974	9	21	.	.	PUNCT
fcis-12974	10	1	finally	finally	ADV
fcis-12974	10	2	,	,	PUNCT
fcis-12974	10	3	we	we	PRON
fcis-12974	10	4	summarize	summarize	VERB
fcis-12974	10	5	the	the	DET
fcis-12974	10	6	main	main	ADJ
fcis-12974	10	7	findings	finding	NOUN
fcis-12974	10	8	of	of	ADP
fcis-12974	10	9	this	this	DET
fcis-12974	10	10	study	study	NOUN
fcis-12974	10	11	,	,	PUNCT
fcis-12974	10	12	highlighting	highlight	VERB
fcis-12974	10	13	the	the	DET
fcis-12974	10	14	potential	potential	ADJ
fcis-12974	10	15	applications	application	NOUN
fcis-12974	10	16	of	of	ADP
fcis-12974	10	17	xgboost	xgboost	PROPN
fcis-12974	10	18	analytics	analytic	NOUN
fcis-12974	10	19	based	base	VERB
fcis-12974	10	20	on	on	ADP
fcis-12974	10	21	consumer	consumer	NOUN
fcis-12974	10	22	behavior	behavior	NOUN
fcis-12974	10	23	in	in	ADP
fcis-12974	10	24	marketing	marketing	NOUN
fcis-12974	10	25	and	and	CCONJ
fcis-12974	10	26	business	business	NOUN
fcis-12974	10	27	decisions	decision	NOUN
fcis-12974	10	28	.	.	PUNCT
fcis-12974	11	1	by	by	ADP
fcis-12974	11	2	digging	dig	VERB
fcis-12974	11	3	deeper	deeply	ADV
fcis-12974	11	4	into	into	ADP
fcis-12974	11	5	consumer	consumer	NOUN
fcis-12974	11	6	behavior	behavior	NOUN
fcis-12974	11	7	data	datum	NOUN
fcis-12974	11	8	,	,	PUNCT
fcis-12974	11	9	businesses	business	NOUN
fcis-12974	11	10	can	can	AUX
fcis-12974	11	11	better	well	ADV
fcis-12974	11	12	meet	meet	VERB
fcis-12974	11	13	customer	customer	NOUN
fcis-12974	11	14	needs	need	NOUN
fcis-12974	11	15	,	,	PUNCT
fcis-12974	11	16	improve	improve	VERB
fcis-12974	11	17	sales	sale	NOUN
fcis-12974	11	18	efficiency	efficiency	NOUN
fcis-12974	11	19	,	,	PUNCT
fcis-12974	11	20	and	and	CCONJ
fcis-12974	11	21	achieve	achieve	VERB
fcis-12974	11	22	sustainable	sustainable	ADJ
fcis-12974	11	23	competitive	competitive	ADJ
fcis-12974	11	24	advantage	advantage	NOUN
fcis-12974	11	25	,	,	PUNCT
fcis-12974	11	26	and	and	CCONJ
fcis-12974	11	27	this	this	DET
fcis-12974	11	28	research	research	NOUN
fcis-12974	11	29	provides	provide	VERB
fcis-12974	11	30	strong	strong	ADJ
fcis-12974	11	31	support	support	NOUN
fcis-12974	11	32	for	for	ADP
fcis-12974	11	33	the	the	DET
fcis-12974	11	34	use	use	NOUN
fcis-12974	11	35	of	of	ADP
fcis-12974	11	36	machine	machine	NOUN
fcis-12974	11	37	learning	learn	VERB
fcis-12974	11	38	techniques	technique	NOUN
fcis-12974	11	39	to	to	PART
fcis-12974	11	40	optimize	optimize	VERB
fcis-12974	11	41	market	market	NOUN
fcis-12974	11	42	strategies	strategy	NOUN
fcis-12974	11	43	.	.	PUNCT
fcis-12974	12	1	keywords	keyword	NOUN
fcis-12974	12	2	:	:	PUNCT
fcis-12974	12	3	xgboost	xgboost	ADV
fcis-12974	12	4	;	;	PUNCT
fcis-12974	12	5	consumer	consumer	NOUN
fcis-12974	12	6	behavior	behavior	NOUN
fcis-12974	12	7	;	;	PUNCT
fcis-12974	12	8	marketing	marketing	NOUN
fcis-12974	12	9	;	;	PUNCT
fcis-12974	12	10	business	business	NOUN
fcis-12974	12	11	decision	decision	NOUN
fcis-12974	12	12	.	.	PUNCT
fcis-12974	13	1	1	1	X
fcis-12974	13	2	.	.	X
fcis-12974	13	3	introduction	introduction	NOUN
fcis-12974	13	4	with	with	ADP
fcis-12974	13	5	the	the	DET
fcis-12974	13	6	rapid	rapid	ADJ
fcis-12974	13	7	development	development	NOUN
fcis-12974	13	8	of	of	ADP
fcis-12974	13	9	the	the	DET
fcis-12974	13	10	internet	internet	NOUN
fcis-12974	13	11	and	and	CCONJ
fcis-12974	13	12	ecommerce	ecommerce	NOUN
fcis-12974	13	13	,	,	PUNCT
fcis-12974	13	14	consumer	consumer	NOUN
fcis-12974	13	15	behavior	behavior	NOUN
fcis-12974	13	16	analysis	analysis	NOUN
fcis-12974	13	17	has	have	AUX
fcis-12974	13	18	become	become	VERB
fcis-12974	13	19	a	a	DET
fcis-12974	13	20	crucial	crucial	ADJ
fcis-12974	13	21	part	part	NOUN
fcis-12974	13	22	of	of	ADP
fcis-12974	13	23	marketing	marketing	NOUN
fcis-12974	13	24	and	and	CCONJ
fcis-12974	13	25	business	business	NOUN
fcis-12974	13	26	decisions	decision	NOUN
fcis-12974	13	27	.	.	PUNCT
fcis-12974	14	1	instead	instead	ADV
fcis-12974	14	2	of	of	ADP
fcis-12974	14	3	relying	rely	VERB
fcis-12974	14	4	solely	solely	ADV
fcis-12974	14	5	on	on	ADP
fcis-12974	14	6	traditional	traditional	ADJ
fcis-12974	14	7	market	market	NOUN
fcis-12974	14	8	research	research	NOUN
fcis-12974	14	9	methods	method	NOUN
fcis-12974	14	10	,	,	PUNCT
fcis-12974	14	11	businesses	business	NOUN
fcis-12974	14	12	and	and	CCONJ
fcis-12974	14	13	organizations	organization	NOUN
fcis-12974	14	14	are	be	AUX
fcis-12974	14	15	actively	actively	ADV
fcis-12974	14	16	adopting	adopt	VERB
fcis-12974	14	17	machine	machine	NOUN
fcis-12974	14	18	learning	learning	NOUN
fcis-12974	14	19	and	and	CCONJ
fcis-12974	14	20	data	datum	NOUN
fcis-12974	14	21	science	science	NOUN
fcis-12974	14	22	techniques	technique	NOUN
fcis-12974	14	23	to	to	PART
fcis-12974	14	24	better	well	ADV
fcis-12974	14	25	understand	understand	VERB
fcis-12974	14	26	and	and	CCONJ
fcis-12974	14	27	predict	predict	VERB
fcis-12974	14	28	consumer	consumer	NOUN
fcis-12974	14	29	behavior	behavior	NOUN
fcis-12974	14	30	.	.	PUNCT
fcis-12974	15	1	among	among	ADP
fcis-12974	15	2	them	they	PRON
fcis-12974	15	3	,	,	PUNCT
fcis-12974	15	4	xgboost	xgboost	PROPN
fcis-12974	15	5	(	(	PUNCT
fcis-12974	15	6	extreme	extreme	ADJ
fcis-12974	15	7	gradient	gradient	NOUN
fcis-12974	15	8	boosting	boost	VERB
fcis-12974	15	9	)	)	PUNCT
fcis-12974	15	10	algorithm	algorithm	NOUN
fcis-12974	15	11	,	,	PUNCT
fcis-12974	15	12	as	as	ADP
fcis-12974	15	13	a	a	DET
fcis-12974	15	14	powerful	powerful	ADJ
fcis-12974	15	15	machine	machine	NOUN
fcis-12974	15	16	learning	learn	VERB
fcis-12974	15	17	tool	tool	NOUN
fcis-12974	15	18	,	,	PUNCT
fcis-12974	15	19	is	be	AUX
fcis-12974	15	20	widely	widely	ADV
fcis-12974	15	21	used	use	VERB
fcis-12974	15	22	in	in	ADP
fcis-12974	15	23	the	the	DET
fcis-12974	15	24	field	field	NOUN
fcis-12974	15	25	of	of	ADP
fcis-12974	15	26	consumer	consumer	NOUN
fcis-12974	15	27	behavior	behavior	NOUN
fcis-12974	15	28	analysis	analysis	NOUN
fcis-12974	15	29	to	to	PART
fcis-12974	15	30	achieve	achieve	VERB
fcis-12974	15	31	more	more	ADV
fcis-12974	15	32	accurate	accurate	ADJ
fcis-12974	15	33	consumer	consumer	NOUN
fcis-12974	15	34	insight	insight	NOUN
fcis-12974	15	35	and	and	CCONJ
fcis-12974	15	36	personalized	personalized	ADJ
fcis-12974	15	37	market	market	NOUN
fcis-12974	15	38	strategies	strategy	NOUN
fcis-12974	15	39	.	.	PUNCT
fcis-12974	16	1	this	this	DET
fcis-12974	16	2	article	article	NOUN
fcis-12974	16	3	aims	aim	VERB
fcis-12974	16	4	to	to	PART
fcis-12974	16	5	take	take	VERB
fcis-12974	16	6	an	an	DET
fcis-12974	16	7	in	in	ADP
fcis-12974	16	8	-	-	PUNCT
fcis-12974	16	9	depth	depth	NOUN
fcis-12974	16	10	look	look	NOUN
fcis-12974	16	11	at	at	ADP
fcis-12974	16	12	xgboost	xgboost	X
fcis-12974	16	13	analytics	analytic	NOUN
fcis-12974	16	14	based	base	VERB
fcis-12974	16	15	on	on	ADP
fcis-12974	16	16	consumer	consumer	NOUN
fcis-12974	16	17	behavior	behavior	NOUN
fcis-12974	16	18	and	and	CCONJ
fcis-12974	16	19	its	its	PRON
fcis-12974	16	20	potential	potential	ADJ
fcis-12974	16	21	applications	application	NOUN
fcis-12974	16	22	in	in	ADP
fcis-12974	16	23	marketing	marketing	NOUN
fcis-12974	16	24	and	and	CCONJ
fcis-12974	16	25	business	business	NOUN
fcis-12974	16	26	.	.	PUNCT
fcis-12974	17	1	first	first	ADV
fcis-12974	17	2	,	,	PUNCT
fcis-12974	17	3	we	we	PRON
fcis-12974	17	4	will	will	AUX
fcis-12974	17	5	briefly	briefly	ADV
fcis-12974	17	6	introduce	introduce	VERB
fcis-12974	17	7	the	the	DET
fcis-12974	17	8	basic	basic	ADJ
fcis-12974	17	9	principles	principle	NOUN
fcis-12974	17	10	and	and	CCONJ
fcis-12974	17	11	features	feature	NOUN
fcis-12974	17	12	of	of	ADP
fcis-12974	17	13	the	the	DET
fcis-12974	17	14	xgboost	xgboost	PROPN
fcis-12974	17	15	algorithm	algorithm	PROPN
fcis-12974	17	16	,	,	PUNCT
fcis-12974	17	17	as	as	ADV
fcis-12974	17	18	well	well	ADV
fcis-12974	17	19	as	as	ADP
fcis-12974	17	20	its	its	PRON
fcis-12974	17	21	wide	wide	ADJ
fcis-12974	17	22	application	application	NOUN
fcis-12974	17	23	in	in	ADP
fcis-12974	17	24	the	the	DET
fcis-12974	17	25	field	field	NOUN
fcis-12974	17	26	of	of	ADP
fcis-12974	17	27	machine	machine	NOUN
fcis-12974	17	28	learning	learning	NOUN
fcis-12974	17	29	.	.	PUNCT
fcis-12974	18	1	we	we	PRON
fcis-12974	18	2	will	will	AUX
fcis-12974	18	3	then	then	ADV
fcis-12974	18	4	explore	explore	VERB
fcis-12974	18	5	in	in	ADP
fcis-12974	18	6	detail	detail	NOUN
fcis-12974	18	7	how	how	SCONJ
fcis-12974	18	8	xgboost	xgboost	ADV
fcis-12974	18	9	algorithms	algorithm	NOUN
fcis-12974	18	10	can	can	AUX
fcis-12974	18	11	be	be	AUX
fcis-12974	18	12	applied	apply	VERB
fcis-12974	18	13	to	to	ADP
fcis-12974	18	14	consumer	consumer	NOUN
fcis-12974	18	15	behavior	behavior	NOUN
fcis-12974	18	16	analysis	analysis	NOUN
fcis-12974	18	17	,	,	PUNCT
fcis-12974	18	18	including	include	VERB
fcis-12974	18	19	key	key	ADJ
fcis-12974	18	20	steps	step	NOUN
fcis-12974	18	21	such	such	ADJ
fcis-12974	18	22	as	as	ADP
fcis-12974	18	23	data	data	NOUN
fcis-12974	18	24	preparation	preparation	NOUN
fcis-12974	18	25	,	,	PUNCT
fcis-12974	18	26	feature	feature	NOUN
fcis-12974	18	27	engineering	engineering	NOUN
fcis-12974	18	28	,	,	PUNCT
fcis-12974	18	29	model	model	NOUN
fcis-12974	18	30	building	building	NOUN
fcis-12974	18	31	,	,	PUNCT
fcis-12974	18	32	and	and	CCONJ
fcis-12974	18	33	performance	performance	NOUN
fcis-12974	18	34	evaluation	evaluation	NOUN
fcis-12974	18	35	.	.	PUNCT
fcis-12974	19	1	through	through	ADP
fcis-12974	19	2	a	a	DET
fcis-12974	19	3	real	real	ADJ
fcis-12974	19	4	-	-	PUNCT
fcis-12974	19	5	world	world	NOUN
fcis-12974	19	6	case	case	NOUN
fcis-12974	19	7	study	study	NOUN
fcis-12974	19	8	,	,	PUNCT
fcis-12974	19	9	we	we	PRON
fcis-12974	19	10	will	will	AUX
fcis-12974	19	11	demonstrate	demonstrate	VERB
fcis-12974	19	12	how	how	SCONJ
fcis-12974	19	13	the	the	DET
fcis-12974	19	14	xgboost	xgboost	PROPN
fcis-12974	19	15	model	model	NOUN
fcis-12974	19	16	can	can	AUX
fcis-12974	19	17	be	be	AUX
fcis-12974	19	18	used	use	VERB
fcis-12974	19	19	to	to	PART
fcis-12974	19	20	predict	predict	VERB
fcis-12974	19	21	consumer	consumer	NOUN
fcis-12974	19	22	purchase	purchase	NOUN
fcis-12974	19	23	intentions	intention	NOUN
fcis-12974	19	24	and	and	CCONJ
fcis-12974	19	25	provide	provide	VERB
fcis-12974	19	26	personalized	personalized	ADJ
fcis-12974	19	27	product	product	NOUN
fcis-12974	19	28	recommendations	recommendation	NOUN
fcis-12974	19	29	.	.	PUNCT
fcis-12974	20	1	finally	finally	ADV
fcis-12974	20	2	,	,	PUNCT
fcis-12974	20	3	we	we	PRON
fcis-12974	20	4	will	will	AUX
fcis-12974	20	5	discuss	discuss	VERB
fcis-12974	20	6	the	the	DET
fcis-12974	20	7	potential	potential	ADJ
fcis-12974	20	8	benefits	benefit	NOUN
fcis-12974	20	9	of	of	ADP
fcis-12974	20	10	this	this	DET
fcis-12974	20	11	approach	approach	NOUN
fcis-12974	20	12	and	and	CCONJ
fcis-12974	20	13	the	the	DET
fcis-12974	20	14	direction	direction	NOUN
fcis-12974	20	15	of	of	ADP
fcis-12974	20	16	future	future	ADJ
fcis-12974	20	17	research	research	NOUN
fcis-12974	20	18	in	in	ADP
fcis-12974	20	19	this	this	DET
fcis-12974	20	20	area	area	NOUN
fcis-12974	20	21	.	.	PUNCT
fcis-12974	21	1	chen	chen	PROPN
fcis-12974	21	2	,	,	PUNCT
fcis-12974	21	3	t.	t.	PROPN
fcis-12974	21	4	et	et	PROPN
fcis-12974	21	5	al	al	PROPN
fcis-12974	21	6	.	.	PROPN
fcis-12974	21	7	introduced	introduce	VERB
fcis-12974	21	8	the	the	DET
fcis-12974	21	9	xgboost	xgboost	ADJ
fcis-12974	21	10	algorithm	algorithm	NOUN
fcis-12974	22	1	[	[	X
fcis-12974	22	2	1	1	NUM
fcis-12974	22	3	]	]	PUNCT
fcis-12974	22	4	,	,	PUNCT
fcis-12974	22	5	which	which	PRON
fcis-12974	22	6	is	be	AUX
fcis-12974	22	7	a	a	DET
fcis-12974	22	8	gradient	gradient	NOUN
fcis-12974	22	9	lifting	lift	VERB
fcis-12974	22	10	tree	tree	NOUN
fcis-12974	22	11	algorithm	algorithm	NOUN
fcis-12974	22	12	used	use	VERB
fcis-12974	22	13	to	to	PART
fcis-12974	22	14	solve	solve	VERB
fcis-12974	22	15	various	various	ADJ
fcis-12974	22	16	machine	machine	NOUN
fcis-12974	22	17	learning	learning	NOUN
fcis-12974	22	18	problems	problem	NOUN
fcis-12974	22	19	.	.	PUNCT
fcis-12974	23	1	it	it	PRON
fcis-12974	23	2	excels	excel	VERB
fcis-12974	23	3	in	in	ADP
fcis-12974	23	4	performance	performance	NOUN
fcis-12974	23	5	and	and	CCONJ
fcis-12974	23	6	accuracy	accuracy	NOUN
fcis-12974	23	7	and	and	CCONJ
fcis-12974	23	8	is	be	AUX
fcis-12974	23	9	widely	widely	ADV
fcis-12974	23	10	used	use	VERB
fcis-12974	23	11	for	for	ADP
fcis-12974	23	12	data	datum	NOUN
fcis-12974	23	13	mining	mining	NOUN
fcis-12974	23	14	and	and	CCONJ
fcis-12974	23	15	prediction	prediction	NOUN
fcis-12974	23	16	tasks	task	NOUN
fcis-12974	23	17	.	.	PUNCT
fcis-12974	24	1	for	for	ADP
fcis-12974	24	2	the	the	DET
fcis-12974	24	3	problem	problem	NOUN
fcis-12974	24	4	of	of	ADP
fcis-12974	24	5	how	how	SCONJ
fcis-12974	24	6	to	to	PART
fcis-12974	24	7	use	use	VERB
fcis-12974	24	8	xgboost	xgboost	PRON
fcis-12974	24	9	algorithm	algorithm	NOUN
fcis-12974	24	10	to	to	PART
fcis-12974	24	11	predict	predict	VERB
fcis-12974	24	12	click	click	VERB
fcis-12974	24	13	-	-	PUNCT
fcis-12974	24	14	through	through	ADP
fcis-12974	24	15	rate	rate	NOUN
fcis-12974	24	16	in	in	ADP
fcis-12974	24	17	e	e	NOUN
fcis-12974	24	18	-	-	NOUN
fcis-12974	24	19	commerce	commerce	PROPN
fcis-12974	24	20	,	,	PUNCT
fcis-12974	24	21	li	li	PROPN
fcis-12974	24	22	,	,	PUNCT
fcis-12974	24	23	h.	h.	PROPN
fcis-12974	24	24	,	,	PUNCT
fcis-12974	24	25	&	&	CCONJ
fcis-12974	24	26	guo	guo	PROPN
fcis-12974	24	27	,	,	PUNCT
fcis-12974	24	28	j.	j.	PROPN
fcis-12974	24	29	describes	describe	VERB
fcis-12974	24	30	and	and	CCONJ
fcis-12974	24	31	illustrates	illustrate	VERB
fcis-12974	24	32	the	the	DET
fcis-12974	24	33	application	application	NOUN
fcis-12974	24	34	of	of	ADP
fcis-12974	24	35	xgboost	xgboost	ADV
fcis-12974	24	36	in	in	ADP
fcis-12974	24	37	real	real	ADJ
fcis-12974	24	38	business	business	NOUN
fcis-12974	24	39	such	such	ADJ
fcis-12974	24	40	as	as	ADP
fcis-12974	24	41	ad	ad	NOUN
fcis-12974	24	42	click	click	NOUN
fcis-12974	24	43	prediction	prediction	NOUN
fcis-12974	25	1	[	[	X
fcis-12974	25	2	2	2	NUM
fcis-12974	25	3	]	]	PUNCT
fcis-12974	25	4	.	.	PUNCT
fcis-12974	26	1	tong	tong	PROPN
fcis-12974	26	2	,	,	PUNCT
fcis-12974	26	3	j.	j.	PROPN
fcis-12974	26	4	et	et	PROPN
fcis-12974	26	5	al	al	PROPN
fcis-12974	26	6	.	.	PROPN
fcis-12974	26	7	have	have	AUX
fcis-12974	26	8	focused	focus	VERB
fcis-12974	26	9	on	on	ADP
fcis-12974	26	10	using	use	VERB
fcis-12974	26	11	gradient	gradient	ADJ
fcis-12974	26	12	lift	lift	NOUN
fcis-12974	26	13	machines	machine	NOUN
fcis-12974	26	14	(	(	PUNCT
fcis-12974	26	15	including	include	VERB
fcis-12974	26	16	xgboost	xgboost	NUM
fcis-12974	26	17	)	)	PUNCT
fcis-12974	26	18	to	to	PART
fcis-12974	26	19	predict	predict	VERB
fcis-12974	26	20	customer	customer	NOUN
fcis-12974	26	21	purchase	purchase	NOUN
fcis-12974	26	22	behavior	behavior	NOUN
fcis-12974	26	23	in	in	ADP
fcis-12974	26	24	e	e	NOUN
fcis-12974	26	25	-	-	NOUN
fcis-12974	26	26	commerce	commerce	NOUN
fcis-12974	26	27	,	,	PUNCT
fcis-12974	26	28	and	and	CCONJ
fcis-12974	26	29	this	this	DET
fcis-12974	26	30	article	article	NOUN
fcis-12974	26	31	provides	provide	VERB
fcis-12974	26	32	a	a	DET
fcis-12974	26	33	case	case	NOUN
fcis-12974	26	34	study	study	NOUN
fcis-12974	26	35	of	of	ADP
fcis-12974	26	36	using	use	VERB
fcis-12974	26	37	xgboost	xgboost	ADV
fcis-12974	26	38	in	in	ADP
fcis-12974	26	39	an	an	DET
fcis-12974	26	40	e	e	NOUN
fcis-12974	26	41	-	-	NOUN
fcis-12974	26	42	commerce	commerce	NOUN
fcis-12974	26	43	context	context	NOUN
fcis-12974	26	44	,	,	PUNCT
fcis-12974	26	45	emphasizing	emphasize	VERB
fcis-12974	26	46	its	its	PRON
fcis-12974	26	47	predictive	predictive	ADJ
fcis-12974	26	48	power	power	NOUN
fcis-12974	27	1	[	[	X
fcis-12974	27	2	3	3	NUM
fcis-12974	27	3	]	]	PUNCT
fcis-12974	27	4	.	.	PUNCT
fcis-12974	28	1	rashid	rashid	PROPN
fcis-12974	28	2	,	,	PUNCT
fcis-12974	28	3	t.	t.	PROPN
fcis-12974	28	4	et	et	PROPN
fcis-12974	28	5	al	al	PROPN
fcis-12974	28	6	.	.	PROPN
fcis-12974	28	7	focused	focus	VERB
fcis-12974	28	8	on	on	ADP
fcis-12974	28	9	using	use	VERB
fcis-12974	28	10	xgboost	xgboost	ADV
fcis-12974	28	11	to	to	PART
fcis-12974	28	12	predict	predict	VERB
fcis-12974	28	13	customer	customer	NOUN
fcis-12974	28	14	churn	churn	NOUN
fcis-12974	28	15	in	in	ADP
fcis-12974	28	16	the	the	DET
fcis-12974	28	17	telecom	telecom	NOUN
fcis-12974	28	18	industry	industry	NOUN
fcis-12974	29	1	[	[	X
fcis-12974	29	2	4	4	NUM
fcis-12974	29	3	]	]	PUNCT
fcis-12974	29	4	.	.	PUNCT
fcis-12974	30	1	customer	customer	NOUN
fcis-12974	30	2	churn	churn	NOUN
fcis-12974	30	3	prediction	prediction	NOUN
fcis-12974	30	4	is	be	AUX
fcis-12974	30	5	crucial	crucial	ADJ
fcis-12974	30	6	for	for	ADP
fcis-12974	30	7	maintaining	maintain	VERB
fcis-12974	30	8	customer	customer	NOUN
fcis-12974	30	9	loyalty	loyalty	NOUN
fcis-12974	30	10	,	,	PUNCT
fcis-12974	30	11	and	and	CCONJ
fcis-12974	30	12	the	the	DET
fcis-12974	30	13	application	application	NOUN
fcis-12974	30	14	of	of	ADP
fcis-12974	30	15	xgboost	xgboost	ADV
fcis-12974	30	16	in	in	ADP
fcis-12974	30	17	this	this	DET
fcis-12974	30	18	field	field	NOUN
fcis-12974	30	19	is	be	AUX
fcis-12974	30	20	expected	expect	VERB
fcis-12974	30	21	to	to	PART
fcis-12974	30	22	improve	improve	VERB
fcis-12974	30	23	the	the	DET
fcis-12974	30	24	accuracy	accuracy	NOUN
fcis-12974	30	25	of	of	ADP
fcis-12974	30	26	prediction	prediction	NOUN
fcis-12974	30	27	.	.	PUNCT
fcis-12974	31	1	jia	jia	PROPN
fcis-12974	31	2	,	,	PUNCT
fcis-12974	31	3	x.	x.	PROPN
fcis-12974	31	4	et	et	PROPN
fcis-12974	31	5	al	al	PROPN
fcis-12974	31	6	.	.	PROPN
fcis-12974	31	7	described	describe	VERB
fcis-12974	31	8	a	a	DET
fcis-12974	31	9	customer	customer	NOUN
fcis-12974	31	10	behavior	behavior	NOUN
fcis-12974	31	11	analysis	analysis	NOUN
fcis-12974	31	12	and	and	CCONJ
fcis-12974	31	13	prediction	prediction	NOUN
fcis-12974	31	14	model	model	NOUN
fcis-12974	31	15	based	base	VERB
fcis-12974	31	16	on	on	ADP
fcis-12974	31	17	xgboost	xgboost	X
fcis-12974	31	18	algorithm	algorithm	PROPN
fcis-12974	32	1	[	[	X
fcis-12974	32	2	5	5	NUM
fcis-12974	32	3	]	]	PUNCT
fcis-12974	32	4	,	,	PUNCT
fcis-12974	32	5	which	which	PRON
fcis-12974	32	6	highlighted	highlight	VERB
fcis-12974	32	7	the	the	DET
fcis-12974	32	8	application	application	NOUN
fcis-12974	32	9	of	of	ADP
fcis-12974	32	10	xgboost	xgboost	NOUN
fcis-12974	32	11	in	in	ADP
fcis-12974	32	12	analyzing	analyze	VERB
fcis-12974	32	13	customer	customer	NOUN
fcis-12974	32	14	behavior	behavior	NOUN
fcis-12974	32	15	and	and	CCONJ
fcis-12974	32	16	predicting	predict	VERB
fcis-12974	32	17	trends	trend	NOUN
fcis-12974	32	18	,	,	PUNCT
fcis-12974	32	19	especially	especially	ADV
fcis-12974	32	20	in	in	ADP
fcis-12974	32	21	the	the	DET
fcis-12974	32	22	fields	field	NOUN
fcis-12974	32	23	of	of	ADP
fcis-12974	32	24	management	management	NOUN
fcis-12974	32	25	and	and	CCONJ
fcis-12974	32	26	education	education	NOUN
fcis-12974	32	27	.	.	PUNCT
fcis-12974	33	1	sanchez	sanchez	PROPN
fcis-12974	33	2	-	-	PUNCT
fcis-12974	33	3	morales	morales	PROPN
fcis-12974	33	4	et	et	PROPN
fcis-12974	33	5	al	al	PROPN
fcis-12974	33	6	.	.	PROPN
fcis-12974	33	7	studied	study	VERB
fcis-12974	33	8	the	the	DET
fcis-12974	33	9	use	use	NOUN
fcis-12974	33	10	of	of	ADP
fcis-12974	33	11	xgboost	xgboost	NOUN
fcis-12974	33	12	to	to	PART
fcis-12974	33	13	predict	predict	VERB
fcis-12974	33	14	customer	customer	NOUN
fcis-12974	33	15	churn	churn	NOUN
fcis-12974	33	16	in	in	ADP
fcis-12974	33	17	the	the	DET
fcis-12974	33	18	mobile	mobile	ADJ
fcis-12974	33	19	telecom	telecom	NOUN
fcis-12974	33	20	industry	industry	NOUN
fcis-12974	34	1	[	[	X
fcis-12974	34	2	6	6	NUM
fcis-12974	34	3	]	]	PUNCT
fcis-12974	34	4	.	.	PUNCT
fcis-12974	35	1	customer	customer	NOUN
fcis-12974	35	2	churn	churn	NOUN
fcis-12974	35	3	is	be	AUX
fcis-12974	35	4	an	an	DET
fcis-12974	35	5	important	important	ADJ
fcis-12974	35	6	issue	issue	NOUN
fcis-12974	35	7	for	for	ADP
fcis-12974	35	8	telecom	telecom	NOUN
fcis-12974	35	9	companies	company	NOUN
fcis-12974	35	10	,	,	PUNCT
fcis-12974	35	11	and	and	CCONJ
fcis-12974	35	12	xgboost	xgboost	ADV
fcis-12974	35	13	is	be	AUX
fcis-12974	35	14	used	use	VERB
fcis-12974	35	15	to	to	PART
fcis-12974	35	16	improve	improve	VERB
fcis-12974	35	17	the	the	DET
fcis-12974	35	18	prediction	prediction	NOUN
fcis-12974	35	19	accuracy	accuracy	NOUN
fcis-12974	35	20	of	of	ADP
fcis-12974	35	21	customer	customer	NOUN
fcis-12974	35	22	churn	churn	NOUN
fcis-12974	35	23	.	.	PUNCT
fcis-12974	36	1	chen	chen	PROPN
fcis-12974	36	2	,	,	PUNCT
fcis-12974	36	3	y.	y.	PROPN
fcis-12974	36	4	et	et	PROPN
fcis-12974	36	5	al	al	PROPN
fcis-12974	36	6	.	.	PUNCT
fcis-12974	37	1	[	[	X
fcis-12974	37	2	7	7	X
fcis-12974	37	3	]	]	PUNCT
fcis-12974	37	4	introduce	introduce	VERB
fcis-12974	37	5	a	a	DET
fcis-12974	37	6	hybrid	hybrid	ADJ
fcis-12974	37	7	model	model	NOUN
fcis-12974	37	8	that	that	PRON
fcis-12974	37	9	combines	combine	VERB
fcis-12974	37	10	xgboost	xgboost	ADV
fcis-12974	37	11	and	and	CCONJ
fcis-12974	37	12	short	short	ADJ
fcis-12974	37	13	-	-	PUNCT
fcis-12974	37	14	term	term	NOUN
fcis-12974	37	15	memory	memory	NOUN
fcis-12974	37	16	networks	network	NOUN
fcis-12974	37	17	(	(	PUNCT
fcis-12974	37	18	lstm	lstm	NOUN
fcis-12974	37	19	)	)	PUNCT
fcis-12974	37	20	to	to	PART
fcis-12974	37	21	predict	predict	VERB
fcis-12974	37	22	customer	customer	NOUN
fcis-12974	37	23	churn	churn	NOUN
fcis-12974	37	24	in	in	ADP
fcis-12974	37	25	ecommerce	ecommerce	PROPN
fcis-12974	37	26	.	.	PUNCT
fcis-12974	38	1	sun	sun	PROPN
fcis-12974	38	2	,	,	PUNCT
fcis-12974	38	3	x.	x.	NOUN
fcis-12974	38	4	et	et	PROPN
fcis-12974	38	5	al	al	PROPN
fcis-12974	38	6	.	.	PROPN
fcis-12974	38	7	,	,	PUNCT
fcis-12974	38	8	explore	explore	VERB
fcis-12974	38	9	the	the	DET
fcis-12974	38	10	use	use	NOUN
fcis-12974	38	11	of	of	ADP
fcis-12974	38	12	xgboost	xgboost	NOUN
fcis-12974	38	13	in	in	ADP
fcis-12974	38	14	ecommerce	ecommerce	NOUN
fcis-12974	38	15	to	to	PART
fcis-12974	38	16	predict	predict	VERB
fcis-12974	38	17	customer	customer	NOUN
fcis-12974	38	18	churn	churn	NOUN
fcis-12974	38	19	[	[	X
fcis-12974	38	20	8	8	NUM
fcis-12974	38	21	]	]	PUNCT
fcis-12974	38	22	,	,	PUNCT
fcis-12974	38	23	which	which	PRON
fcis-12974	38	24	highlights	highlight	VERB
fcis-12974	38	25	the	the	DET
fcis-12974	38	26	practical	practical	ADJ
fcis-12974	38	27	application	application	NOUN
fcis-12974	38	28	of	of	ADP
fcis-12974	38	29	data	datum	NOUN
fcis-12974	38	30	science	science	NOUN
fcis-12974	38	31	and	and	CCONJ
fcis-12974	38	32	machine	machine	NOUN
fcis-12974	38	33	learning	learn	VERB
fcis-12974	38	34	in	in	ADP
fcis-12974	38	35	e	e	NOUN
fcis-12974	38	36	-	-	NOUN
fcis-12974	38	37	commerce	commerce	NOUN
fcis-12974	38	38	to	to	PART
fcis-12974	38	39	improve	improve	VERB
fcis-12974	38	40	customer	customer	NOUN
fcis-12974	38	41	retention	retention	NOUN
fcis-12974	38	42	and	and	CCONJ
fcis-12974	38	43	sales	sale	NOUN
fcis-12974	38	44	efficiency	efficiency	NOUN
fcis-12974	38	45	.	.	PUNCT
fcis-12974	39	1	through	through	ADP
fcis-12974	39	2	the	the	DET
fcis-12974	39	3	analysis	analysis	NOUN
fcis-12974	39	4	of	of	ADP
fcis-12974	39	5	customer	customer	NOUN
fcis-12974	39	6	behavior	behavior	NOUN
fcis-12974	39	7	data	data	PROPN
fcis-12974	39	8	,	,	PUNCT
fcis-12974	39	9	yang	yang	PROPN
fcis-12974	39	10	,	,	PUNCT
fcis-12974	39	11	w.	w.	PROPN
fcis-12974	39	12	introduced	introduce	VERB
fcis-12974	39	13	how	how	SCONJ
fcis-12974	39	14	to	to	PART
fcis-12974	39	15	use	use	VERB
fcis-12974	39	16	xgboost	xgboost	ADV
fcis-12974	39	17	to	to	PART
fcis-12974	39	18	identify	identify	VERB
fcis-12974	39	19	different	different	ADJ
fcis-12974	39	20	customer	customer	NOUN
fcis-12974	39	21	groups	group	NOUN
fcis-12974	39	22	[	[	X
fcis-12974	39	23	9	9	NUM
fcis-12974	39	24	]	]	PUNCT
fcis-12974	39	25	and	and	CCONJ
fcis-12974	39	26	provide	provide	VERB
fcis-12974	39	27	customized	customized	ADJ
fcis-12974	39	28	recommendations	recommendation	NOUN
fcis-12974	39	29	and	and	CCONJ
fcis-12974	39	30	promotions	promotion	NOUN
fcis-12974	39	31	based	base	VERB
fcis-12974	39	32	on	on	ADP
fcis-12974	39	33	their	their	PRON
fcis-12974	39	34	needs	need	NOUN
fcis-12974	39	35	and	and	CCONJ
fcis-12974	39	36	preferences	preference	NOUN
fcis-12974	39	37	.	.	PUNCT
fcis-12974	40	1	wu	wu	PROPN
fcis-12974	40	2	,	,	PUNCT
fcis-12974	40	3	h.	h.	PROPN
fcis-12974	40	4	et	et	PROPN
fcis-12974	40	5	al	al	PROPN
fcis-12974	40	6	.	.	PROPN
fcis-12974	40	7	,	,	PUNCT
fcis-12974	40	8	by	by	ADP
fcis-12974	40	9	combining	combine	VERB
fcis-12974	40	10	xgboost	xgboost	ADP
fcis-12974	40	11	with	with	ADP
fcis-12974	40	12	deep	deep	ADJ
fcis-12974	40	13	learning	learning	NOUN
fcis-12974	40	14	methods	method	NOUN
fcis-12974	40	15	[	[	X
fcis-12974	40	16	10	10	NUM
fcis-12974	40	17	]	]	PUNCT
fcis-12974	40	18	,	,	PUNCT
fcis-12974	40	19	demonstrated	demonstrate	VERB
fcis-12974	40	20	how	how	SCONJ
fcis-12974	40	21	to	to	PART
fcis-12974	40	22	better	well	ADV
fcis-12974	40	23	capture	capture	VERB
fcis-12974	40	24	complex	complex	ADJ
fcis-12974	40	25	sales	sale	NOUN
fcis-12974	40	26	trends	trend	NOUN
fcis-12974	40	27	and	and	CCONJ
fcis-12974	40	28	seasonal	seasonal	ADJ
fcis-12974	40	29	changes	change	NOUN
fcis-12974	40	30	,	,	PUNCT
fcis-12974	40	31	thereby	thereby	ADV
fcis-12974	40	32	improving	improve	VERB
fcis-12974	40	33	the	the	DET
fcis-12974	40	34	performance	performance	NOUN
fcis-12974	40	35	of	of	ADP
fcis-12974	40	36	sales	sale	NOUN
fcis-12974	40	37	forecasting	forecasting	NOUN
fcis-12974	40	38	,	,	PUNCT
fcis-12974	40	39	which	which	PRON
fcis-12974	40	40	is	be	AUX
fcis-12974	40	41	very	very	ADV
fcis-12974	40	42	important	important	ADJ
fcis-12974	40	43	for	for	ADP
fcis-12974	40	44	supply	supply	NOUN
fcis-12974	40	45	chain	chain	NOUN
fcis-12974	40	46	management	management	NOUN
fcis-12974	40	47	and	and	CCONJ
fcis-12974	40	48	inventory	inventory	NOUN
fcis-12974	40	49	optimization	optimization	NOUN
fcis-12974	40	50	.	.	PUNCT
fcis-12974	41	1	the	the	DET
fcis-12974	41	2	innovation	innovation	NOUN
fcis-12974	41	3	of	of	ADP
fcis-12974	41	4	this	this	DET
fcis-12974	41	5	paper	paper	NOUN
fcis-12974	41	6	is	be	AUX
fcis-12974	41	7	that	that	SCONJ
fcis-12974	41	8	xgboost	xgboost	ADJ
fcis-12974	41	9	algorithm	algorithm	NOUN
fcis-12974	41	10	is	be	AUX
fcis-12974	41	11	used	use	VERB
fcis-12974	41	12	for	for	ADP
fcis-12974	41	13	the	the	DET
fcis-12974	41	14	first	first	ADJ
fcis-12974	41	15	time	time	NOUN
fcis-12974	41	16	to	to	PART
fcis-12974	41	17	build	build	VERB
fcis-12974	41	18	a	a	DET
fcis-12974	41	19	consumer	consumer	NOUN
fcis-12974	41	20	prediction	prediction	NOUN
fcis-12974	41	21	model	model	NOUN
fcis-12974	41	22	,	,	PUNCT
fcis-12974	41	23	and	and	CCONJ
fcis-12974	41	24	has	have	AUX
fcis-12974	41	25	achieved	achieve	VERB
fcis-12974	41	26	good	good	ADJ
fcis-12974	41	27	results	result	NOUN
fcis-12974	41	28	in	in	ADP
fcis-12974	41	29	the	the	DET
fcis-12974	41	30	evaluation	evaluation	NOUN
fcis-12974	41	31	of	of	ADP
fcis-12974	41	32	indicators	indicator	NOUN
fcis-12974	41	33	.	.	PUNCT
fcis-12974	42	1	the	the	DET
fcis-12974	42	2	experiment	experiment	NOUN
fcis-12974	42	3	proves	prove	VERB
fcis-12974	42	4	that	that	SCONJ
fcis-12974	42	5	xgboost	xgboost	ADP
fcis-12974	42	6	algorithm	algorithm	NOUN
fcis-12974	42	7	model	model	NOUN
fcis-12974	42	8	will	will	AUX
fcis-12974	42	9	have	have	VERB
fcis-12974	42	10	great	great	ADJ
fcis-12974	42	11	application	application	NOUN
fcis-12974	42	12	scenarios	scenario	NOUN
fcis-12974	42	13	and	and	CCONJ
fcis-12974	42	14	practical	practical	ADJ
fcis-12974	42	15	significance	significance	NOUN
fcis-12974	42	16	in	in	ADP
fcis-12974	42	17	e	e	NOUN
fcis-12974	42	18	-	-	NOUN
fcis-12974	42	19	commerce	commerce	NOUN
fcis-12974	42	20	applications	application	NOUN
fcis-12974	42	21	.	.	PUNCT
fcis-12974	43	1	86	86	NUM
fcis-12974	43	2	2	2	NUM
fcis-12974	43	3	.	.	PUNCT
fcis-12974	43	4	research	research	NOUN
fcis-12974	43	5	basis	basis	NOUN
fcis-12974	43	6	2.1	2.1	NUM
fcis-12974	43	7	.	.	PUNCT
fcis-12974	44	1	algorithm	algorithm	NOUN
fcis-12974	44	2	overview	overview	NOUN
fcis-12974	44	3	xgboost	xgboost	ADV
fcis-12974	44	4	is	be	AUX
fcis-12974	44	5	an	an	DET
fcis-12974	44	6	ensemble	ensemble	ADJ
fcis-12974	44	7	learning	learning	NOUN
fcis-12974	44	8	algorithm	algorithm	NOUN
fcis-12974	44	9	that	that	PRON
fcis-12974	44	10	combines	combine	VERB
fcis-12974	44	11	multiple	multiple	ADJ
fcis-12974	44	12	weak	weak	ADJ
fcis-12974	44	13	learners	learner	NOUN
fcis-12974	44	14	(	(	PUNCT
fcis-12974	44	15	usually	usually	ADV
fcis-12974	44	16	decision	decision	NOUN
fcis-12974	44	17	trees	tree	NOUN
fcis-12974	44	18	)	)	PUNCT
fcis-12974	44	19	into	into	ADP
fcis-12974	44	20	a	a	DET
fcis-12974	44	21	powerful	powerful	ADJ
fcis-12974	44	22	model	model	NOUN
fcis-12974	44	23	.	.	PUNCT
fcis-12974	45	1	its	its	PRON
fcis-12974	45	2	core	core	ADJ
fcis-12974	45	3	idea	idea	NOUN
fcis-12974	45	4	is	be	AUX
fcis-12974	45	5	to	to	PART
fcis-12974	45	6	train	train	VERB
fcis-12974	45	7	weak	weak	ADJ
fcis-12974	45	8	learners	learner	NOUN
fcis-12974	45	9	iteratively	iteratively	ADV
fcis-12974	45	10	and	and	CCONJ
fcis-12974	45	11	then	then	ADV
fcis-12974	45	12	combine	combine	VERB
fcis-12974	45	13	them	they	PRON
fcis-12974	45	14	into	into	ADP
fcis-12974	45	15	a	a	DET
fcis-12974	45	16	more	more	ADV
fcis-12974	45	17	powerful	powerful	ADJ
fcis-12974	45	18	model	model	NOUN
fcis-12974	45	19	to	to	PART
fcis-12974	45	20	improve	improve	VERB
fcis-12974	45	21	the	the	DET
fcis-12974	45	22	accuracy	accuracy	NOUN
fcis-12974	45	23	of	of	ADP
fcis-12974	45	24	predictions	prediction	NOUN
fcis-12974	45	25	.	.	PUNCT
fcis-12974	46	1	based	base	VERB
fcis-12974	46	2	on	on	ADP
fcis-12974	46	3	the	the	DET
fcis-12974	46	4	idea	idea	NOUN
fcis-12974	46	5	of	of	ADP
fcis-12974	46	6	boosting	boost	VERB
fcis-12974	46	7	trees	tree	NOUN
fcis-12974	46	8	,	,	PUNCT
fcis-12974	46	9	where	where	SCONJ
fcis-12974	46	10	each	each	DET
fcis-12974	46	11	tree	tree	NOUN
fcis-12974	46	12	is	be	AUX
fcis-12974	46	13	trained	train	VERB
fcis-12974	46	14	on	on	ADP
fcis-12974	46	15	the	the	DET
fcis-12974	46	16	mistakes	mistake	NOUN
fcis-12974	46	17	of	of	ADP
fcis-12974	46	18	the	the	DET
fcis-12974	46	19	previous	previous	ADJ
fcis-12974	46	20	tree	tree	NOUN
fcis-12974	46	21	.	.	PUNCT
fcis-12974	47	1	xgboost	xgboost	PROPN
fcis-12974	47	2	uses	use	VERB
fcis-12974	47	3	a	a	DET
fcis-12974	47	4	custom	custom	NOUN
fcis-12974	47	5	loss	loss	NOUN
fcis-12974	47	6	function	function	NOUN
fcis-12974	47	7	,	,	PUNCT
fcis-12974	47	8	usually	usually	ADV
fcis-12974	47	9	one	one	NUM
fcis-12974	47	10	that	that	PRON
fcis-12974	47	11	combines	combine	VERB
fcis-12974	47	12	prediction	prediction	NOUN
fcis-12974	47	13	error	error	NOUN
fcis-12974	47	14	and	and	CCONJ
fcis-12974	47	15	model	model	NOUN
fcis-12974	47	16	complexity	complexity	NOUN
fcis-12974	47	17	.	.	PUNCT
fcis-12974	48	1	it	it	PRON
fcis-12974	48	2	includes	include	VERB
fcis-12974	48	3	regularization	regularization	NOUN
fcis-12974	48	4	terms	term	NOUN
fcis-12974	48	5	to	to	PART
fcis-12974	48	6	limit	limit	VERB
fcis-12974	48	7	the	the	DET
fcis-12974	48	8	complexity	complexity	NOUN
fcis-12974	48	9	of	of	ADP
fcis-12974	48	10	the	the	DET
fcis-12974	48	11	tree	tree	NOUN
fcis-12974	48	12	and	and	CCONJ
fcis-12974	48	13	prevent	prevent	VERB
fcis-12974	48	14	overfitting	overfitting	NOUN
fcis-12974	48	15	.	.	PUNCT
fcis-12974	49	1	it	it	PRON
fcis-12974	49	2	uses	use	VERB
fcis-12974	49	3	l1	l1	PROPN
fcis-12974	49	4	and	and	CCONJ
fcis-12974	49	5	l2	l2	PROPN
fcis-12974	49	6	regularization	regularization	NOUN
fcis-12974	49	7	to	to	PART
fcis-12974	49	8	control	control	VERB
fcis-12974	49	9	the	the	DET
fcis-12974	49	10	complexity	complexity	NOUN
fcis-12974	49	11	of	of	ADP
fcis-12974	49	12	the	the	DET
fcis-12974	49	13	model	model	NOUN
fcis-12974	49	14	to	to	PART
fcis-12974	49	15	improve	improve	VERB
fcis-12974	49	16	generalization	generalization	NOUN
fcis-12974	49	17	,	,	PUNCT
fcis-12974	49	18	and	and	CCONJ
fcis-12974	49	19	employs	employ	VERB
fcis-12974	49	20	an	an	DET
fcis-12974	49	21	early	early	ADJ
fcis-12974	49	22	stopping	stopping	NOUN
fcis-12974	49	23	strategy	strategy	NOUN
fcis-12974	49	24	to	to	PART
fcis-12974	49	25	avoid	avoid	VERB
fcis-12974	49	26	overfitting	overfitte	VERB
fcis-12974	49	27	during	during	ADP
fcis-12974	49	28	training	training	NOUN
fcis-12974	49	29	.	.	PUNCT
fcis-12974	50	1	by	by	ADP
fcis-12974	50	2	monitoring	monitor	VERB
fcis-12974	50	3	the	the	DET
fcis-12974	50	4	performance	performance	NOUN
fcis-12974	50	5	of	of	ADP
fcis-12974	50	6	the	the	DET
fcis-12974	50	7	validated	validate	VERB
fcis-12974	50	8	data	datum	NOUN
fcis-12974	50	9	,	,	PUNCT
fcis-12974	50	10	training	training	NOUN
fcis-12974	50	11	can	can	AUX
fcis-12974	50	12	be	be	AUX
fcis-12974	50	13	stopped	stop	VERB
fcis-12974	50	14	before	before	SCONJ
fcis-12974	50	15	the	the	DET
fcis-12974	50	16	model	model	NOUN
fcis-12974	50	17	starts	start	VERB
fcis-12974	50	18	to	to	PART
fcis-12974	50	19	overfit	overfit	VERB
fcis-12974	50	20	.	.	PUNCT
fcis-12974	51	1	2.2	2.2	NUM
fcis-12974	51	2	.	.	PUNCT
fcis-12974	51	3	principle	principle	NOUN
fcis-12974	51	4	of	of	ADP
fcis-12974	51	5	algorithm	algorithm	NOUN
fcis-12974	51	6	suppose	suppose	VERB
fcis-12974	51	7	the	the	DET
fcis-12974	51	8	problem	problem	NOUN
fcis-12974	51	9	we	we	PRON
fcis-12974	51	10	are	be	AUX
fcis-12974	51	11	trying	try	VERB
fcis-12974	51	12	to	to	PART
fcis-12974	51	13	solve	solve	VERB
fcis-12974	51	14	is	be	AUX
fcis-12974	51	15	a	a	DET
fcis-12974	51	16	regression	regression	NOUN
fcis-12974	51	17	problem	problem	NOUN
fcis-12974	51	18	,	,	PUNCT
fcis-12974	51	19	and	and	CCONJ
fcis-12974	51	20	the	the	DET
fcis-12974	51	21	goal	goal	NOUN
fcis-12974	51	22	is	be	AUX
fcis-12974	51	23	to	to	PART
fcis-12974	51	24	learn	learn	VERB
fcis-12974	51	25	a	a	DET
fcis-12974	51	26	prediction	prediction	NOUN
fcis-12974	51	27	function	function	NOUN
fcis-12974	51	28	f(x	f(x	PROPN
fcis-12974	51	29	)	)	PUNCT
fcis-12974	51	30	where	where	SCONJ
fcis-12974	51	31	x	x	PRON
fcis-12974	51	32	represents	represent	VERB
fcis-12974	51	33	the	the	DET
fcis-12974	51	34	input	input	NOUN
fcis-12974	51	35	features	feature	NOUN
fcis-12974	51	36	and	and	CCONJ
fcis-12974	51	37	f(x	f(x	PROPN
fcis-12974	51	38	)	)	PUNCT
fcis-12974	51	39	represents	represent	VERB
fcis-12974	51	40	the	the	DET
fcis-12974	51	41	predicted	predict	VERB
fcis-12974	51	42	value	value	NOUN
fcis-12974	51	43	of	of	ADP
fcis-12974	51	44	the	the	DET
fcis-12974	51	45	output	output	NOUN
fcis-12974	51	46	.	.	PUNCT
fcis-12974	52	1	our	our	PRON
fcis-12974	52	2	goal	goal	NOUN
fcis-12974	52	3	is	be	AUX
fcis-12974	52	4	to	to	PART
fcis-12974	52	5	minimize	minimize	VERB
fcis-12974	52	6	the	the	DET
fcis-12974	52	7	loss	loss	NOUN
fcis-12974	52	8	function	function	NOUN
fcis-12974	52	9	,	,	PUNCT
fcis-12974	52	10	usually	usually	ADV
fcis-12974	52	11	using	use	VERB
fcis-12974	52	12	the	the	DET
fcis-12974	52	13	mean	mean	ADJ
fcis-12974	52	14	squared	square	VERB
fcis-12974	52	15	error	error	NOUN
fcis-12974	52	16	to	to	PART
fcis-12974	52	17	measure	measure	VERB
fcis-12974	52	18	the	the	DET
fcis-12974	52	19	difference	difference	NOUN
fcis-12974	52	20	between	between	ADP
fcis-12974	52	21	the	the	DET
fcis-12974	52	22	predicted	predict	VERB
fcis-12974	52	23	value	value	NOUN
fcis-12974	52	24	and	and	CCONJ
fcis-12974	52	25	the	the	DET
fcis-12974	52	26	true	true	ADJ
fcis-12974	52	27	value	value	NOUN
fcis-12974	52	28	:	:	PUNCT
fcis-12974	52	29	loss	loss	NOUN
fcis-12974	52	30	function	function	NOUN
fcis-12974	52	31	:	:	PUNCT
fcis-12974	52	32	l(y	l(y	PROPN
fcis-12974	52	33	,	,	PUNCT
fcis-12974	52	34	f(x	f(x	PROPN
fcis-12974	52	35	)	)	PUNCT
fcis-12974	52	36	)	)	PUNCT
fcis-12974	53	1	=	=	PRON
fcis-12974	53	2	(	(	PUNCT
fcis-12974	53	3	y	y	PROPN
fcis-12974	53	4	f(x))^2	f(x))^2	PROPN
fcis-12974	53	5	(	(	PUNCT
fcis-12974	53	6	1	1	NUM
fcis-12974	53	7	)	)	PUNCT
fcis-12974	53	8	where	where	SCONJ
fcis-12974	53	9	y	y	PROPN
fcis-12974	53	10	represents	represent	VERB
fcis-12974	53	11	the	the	DET
fcis-12974	53	12	true	true	ADJ
fcis-12974	53	13	target	target	NOUN
fcis-12974	53	14	value	value	NOUN
fcis-12974	53	15	.	.	PUNCT
fcis-12974	54	1	xgboost	xgboost	PROPN
fcis-12974	54	2	uses	use	VERB
fcis-12974	54	3	decision	decision	NOUN
fcis-12974	54	4	trees	tree	NOUN
fcis-12974	54	5	as	as	ADP
fcis-12974	54	6	a	a	DET
fcis-12974	54	7	weak	weak	ADJ
fcis-12974	54	8	learner	learner	NOUN
fcis-12974	54	9	,	,	PUNCT
fcis-12974	54	10	and	and	CCONJ
fcis-12974	54	11	each	each	DET
fcis-12974	54	12	decision	decision	NOUN
fcis-12974	54	13	tree	tree	NOUN
fcis-12974	54	14	is	be	AUX
fcis-12974	54	15	a	a	DET
fcis-12974	54	16	regression	regression	NOUN
fcis-12974	54	17	tree	tree	NOUN
fcis-12974	54	18	.	.	PUNCT
fcis-12974	55	1	the	the	DET
fcis-12974	55	2	goal	goal	NOUN
fcis-12974	55	3	of	of	ADP
fcis-12974	55	4	the	the	DET
fcis-12974	55	5	regression	regression	NOUN
fcis-12974	55	6	tree	tree	NOUN
fcis-12974	55	7	is	be	AUX
fcis-12974	55	8	to	to	PART
fcis-12974	55	9	fit	fit	VERB
fcis-12974	55	10	the	the	DET
fcis-12974	55	11	residual	residual	NOUN
fcis-12974	55	12	of	of	ADP
fcis-12974	55	13	the	the	DET
fcis-12974	55	14	training	training	NOUN
fcis-12974	55	15	data	datum	NOUN
fcis-12974	55	16	(	(	PUNCT
fcis-12974	55	17	that	that	PRON
fcis-12974	55	18	is	is	ADV
fcis-12974	55	19	,	,	PUNCT
fcis-12974	55	20	the	the	DET
fcis-12974	55	21	difference	difference	NOUN
fcis-12974	55	22	between	between	ADP
fcis-12974	55	23	the	the	DET
fcis-12974	55	24	true	true	ADJ
fcis-12974	55	25	value	value	NOUN
fcis-12974	55	26	and	and	CCONJ
fcis-12974	55	27	the	the	DET
fcis-12974	55	28	predicted	predict	VERB
fcis-12974	55	29	value	value	NOUN
fcis-12974	55	30	of	of	ADP
fcis-12974	55	31	the	the	DET
fcis-12974	55	32	current	current	ADJ
fcis-12974	55	33	model	model	NOUN
fcis-12974	55	34	)	)	PUNCT
fcis-12974	55	35	.	.	PUNCT
fcis-12974	56	1	the	the	DET
fcis-12974	56	2	key	key	ADJ
fcis-12974	56	3	idea	idea	NOUN
fcis-12974	56	4	here	here	ADV
fcis-12974	56	5	is	be	AUX
fcis-12974	56	6	that	that	SCONJ
fcis-12974	56	7	in	in	ADP
fcis-12974	56	8	each	each	DET
fcis-12974	56	9	iteration	iteration	NOUN
fcis-12974	56	10	,	,	PUNCT
fcis-12974	56	11	we	we	PRON
fcis-12974	56	12	train	train	VERB
fcis-12974	56	13	a	a	DET
fcis-12974	56	14	new	new	ADJ
fcis-12974	56	15	regression	regression	NOUN
fcis-12974	56	16	tree	tree	NOUN
fcis-12974	56	17	,	,	PUNCT
fcis-12974	56	18	which	which	PRON
fcis-12974	56	19	is	be	AUX
fcis-12974	56	20	then	then	ADV
fcis-12974	56	21	added	add	VERB
fcis-12974	56	22	to	to	ADP
fcis-12974	56	23	the	the	DET
fcis-12974	56	24	model	model	NOUN
fcis-12974	56	25	to	to	PART
fcis-12974	56	26	gradually	gradually	ADV
fcis-12974	56	27	reduce	reduce	VERB
fcis-12974	56	28	the	the	DET
fcis-12974	56	29	residual	residual	NOUN
fcis-12974	56	30	.	.	PUNCT
fcis-12974	57	1	the	the	DET
fcis-12974	57	2	goal	goal	NOUN
fcis-12974	57	3	of	of	ADP
fcis-12974	57	4	xgboost	xgboost	ADV
fcis-12974	57	5	is	be	AUX
fcis-12974	57	6	to	to	PART
fcis-12974	57	7	minimize	minimize	VERB
fcis-12974	57	8	the	the	DET
fcis-12974	57	9	following	follow	VERB
fcis-12974	57	10	weighted	weight	VERB
fcis-12974	57	11	loss	loss	NOUN
fcis-12974	57	12	functions	function	NOUN
fcis-12974	57	13	:	:	PUNCT
fcis-12974	57	14	objective	objective	ADJ
fcis-12974	57	15	function	function	NOUN
fcis-12974	57	16	:	:	PUNCT
fcis-12974	57	17	obj(θ	obj(θ	NUM
fcis-12974	57	18	)	)	PUNCT
fcis-12974	58	1	=	=	SYM
fcis-12974	58	2	σ[lf	σ[lf	PROPN
fcis-12974	58	3	y_i	y_i	PROPN
fcis-12974	58	4	,	,	PUNCT
fcis-12974	58	5	ŷ_i	ŷ_i	NOUN
fcis-12974	58	6	)	)	PUNCT
fcis-12974	58	7	+	+	CCONJ
fcis-12974	58	8	rt(θ_t	rt(θ_t	NOUN
fcis-12974	58	9	)	)	PUNCT
fcis-12974	58	10	]	]	PUNCT
fcis-12974	59	1	(	(	PUNCT
fcis-12974	59	2	2	2	X
fcis-12974	59	3	)	)	PUNCT
fcis-12974	59	4	among	among	ADP
fcis-12974	59	5	them	they	PRON
fcis-12974	59	6	,	,	PUNCT
fcis-12974	59	7			ADJ
fcis-12974	59	8	θ	θ	PROPN
fcis-12974	59	9	indicates	indicate	VERB
fcis-12974	59	10	the	the	DET
fcis-12974	59	11	parameters	parameter	NOUN
fcis-12974	59	12	of	of	ADP
fcis-12974	59	13	the	the	DET
fcis-12974	59	14	model	model	NOUN
fcis-12974	59	15	,	,	PUNCT
fcis-12974	59	16	including	include	VERB
fcis-12974	59	17	the	the	DET
fcis-12974	59	18	structure	structure	NOUN
fcis-12974	59	19	of	of	ADP
fcis-12974	59	20	the	the	DET
fcis-12974	59	21	tree	tree	NOUN
fcis-12974	59	22	and	and	CCONJ
fcis-12974	59	23	the	the	DET
fcis-12974	59	24	value	value	NOUN
fcis-12974	59	25	of	of	ADP
fcis-12974	59	26	the	the	DET
fcis-12974	59	27	leaf	leaf	NOUN
fcis-12974	59	28	node	node	NOUN
fcis-12974	59	29	.	.	PUNCT
fcis-12974	60	1			PROPN
fcis-12974	60	2	i	i	PRON
fcis-12974	60	3	represents	represent	VERB
fcis-12974	60	4	each	each	DET
fcis-12974	60	5	training	training	NOUN
fcis-12974	60	6	sample	sample	NOUN
fcis-12974	60	7	.	.	PUNCT
fcis-12974	61	1			VERB
fcis-12974	61	2	enclosure	enclosure	NOUN
fcis-12974	61	3	ŷ_i	ŷ_i	PROPN
fcis-12974	61	4	indicates	indicate	VERB
fcis-12974	61	5	the	the	DET
fcis-12974	61	6	predicted	predict	VERB
fcis-12974	61	7	value	value	NOUN
fcis-12974	61	8	of	of	ADP
fcis-12974	61	9	the	the	DET
fcis-12974	61	10	current	current	ADJ
fcis-12974	61	11	model	model	NOUN
fcis-12974	61	12	.	.	PUNCT
fcis-12974	62	1			VERB
fcis-12974	62	2	the	the	DET
fcis-12974	62	3	loss	loss	NOUN
fcis-12974	62	4	function	function	NOUN
fcis-12974	62	5	is	be	AUX
fcis-12974	62	6	used	use	VERB
fcis-12974	62	7	to	to	PART
fcis-12974	62	8	measure	measure	VERB
fcis-12974	62	9	how	how	SCONJ
fcis-12974	62	10	well	well	ADV
fcis-12974	62	11	the	the	DET
fcis-12974	62	12	model	model	NOUN
fcis-12974	62	13	fits	fit	VERB
fcis-12974	62	14	the	the	DET
fcis-12974	62	15	training	training	NOUN
fcis-12974	62	16	data	datum	NOUN
fcis-12974	62	17	.	.	PUNCT
fcis-12974	63	1			ADJ
fcis-12974	63	2	regularization	regularization	NOUN
fcis-12974	63	3	terms	term	NOUN
fcis-12974	63	4	are	be	AUX
fcis-12974	63	5	used	use	VERB
fcis-12974	63	6	to	to	PART
fcis-12974	63	7	control	control	VERB
fcis-12974	63	8	the	the	DET
fcis-12974	63	9	complexity	complexity	NOUN
fcis-12974	63	10	of	of	ADP
fcis-12974	63	11	the	the	DET
fcis-12974	63	12	model	model	NOUN
fcis-12974	63	13	,	,	PUNCT
fcis-12974	63	14	including	include	VERB
fcis-12974	63	15	l1	l1	PROPN
fcis-12974	63	16	and	and	CCONJ
fcis-12974	63	17	l2	l2	NOUN
fcis-12974	63	18	regularization	regularization	NOUN
fcis-12974	63	19	terms	term	NOUN
fcis-12974	63	20	.	.	PUNCT
fcis-12974	64	1	xgboost	xgboost	PROPN
fcis-12974	64	2	uses	use	VERB
fcis-12974	64	3	a	a	DET
fcis-12974	64	4	gradient	gradient	ADJ
fcis-12974	64	5	lift	lift	NOUN
fcis-12974	64	6	method	method	NOUN
fcis-12974	64	7	to	to	PART
fcis-12974	64	8	optimize	optimize	VERB
fcis-12974	64	9	the	the	DET
fcis-12974	64	10	objective	objective	ADJ
fcis-12974	64	11	function	function	NOUN
fcis-12974	64	12	.	.	PUNCT
fcis-12974	65	1	in	in	ADP
fcis-12974	65	2	each	each	DET
fcis-12974	65	3	iteration	iteration	NOUN
fcis-12974	65	4	,	,	PUNCT
fcis-12974	65	5	it	it	PRON
fcis-12974	65	6	calculates	calculate	VERB
fcis-12974	65	7	the	the	DET
fcis-12974	65	8	negative	negative	ADJ
fcis-12974	65	9	gradient	gradient	NOUN
fcis-12974	65	10	of	of	ADP
fcis-12974	65	11	the	the	DET
fcis-12974	65	12	objective	objective	ADJ
fcis-12974	65	13	function	function	NOUN
fcis-12974	65	14	and	and	CCONJ
fcis-12974	65	15	then	then	ADV
fcis-12974	65	16	fits	fit	VERB
fcis-12974	65	17	this	this	DET
fcis-12974	65	18	negative	negative	ADJ
fcis-12974	65	19	gradient	gradient	NOUN
fcis-12974	65	20	with	with	ADP
fcis-12974	65	21	a	a	DET
fcis-12974	65	22	new	new	ADJ
fcis-12974	65	23	regression	regression	NOUN
fcis-12974	65	24	tree	tree	NOUN
fcis-12974	65	25	.	.	PUNCT
fcis-12974	66	1	that	that	PRON
fcis-12974	66	2	's	be	AUX
fcis-12974	66	3	why	why	SCONJ
fcis-12974	66	4	it	it	PRON
fcis-12974	66	5	's	be	AUX
fcis-12974	66	6	called	call	VERB
fcis-12974	66	7	gradient	gradient	NOUN
fcis-12974	66	8	boosting	boosting	NOUN
fcis-12974	66	9	.	.	PUNCT
fcis-12974	67	1	where	where	SCONJ
fcis-12974	67	2	,	,	PUNCT
fcis-12974	67	3	the	the	DET
fcis-12974	67	4	negative	negative	ADJ
fcis-12974	67	5	gradient	gradient	NOUN
fcis-12974	67	6	:	:	PUNCT
fcis-12974	67	7	g_i	g_i	PROPN
fcis-12974	67	8	=	=	SYM
fcis-12974	67	9	∂l(y_i	∂l(y_i	PROPN
fcis-12974	67	10	,	,	PUNCT
fcis-12974	67	11	ŷ_i	ŷ_i	NOUN
fcis-12974	67	12	)	)	PUNCT
fcis-12974	67	13	/	/	SYM
fcis-12974	67	14	∂ŷ_i	∂ŷ_i	NOUN
fcis-12974	67	15	(	(	PUNCT
fcis-12974	67	16	3	3	NUM
fcis-12974	67	17	)	)	PUNCT
fcis-12974	67	18	h_i	h_i	PUNCT
fcis-12974	67	19	=	=	SYM
fcis-12974	67	20	∂^2l(y_i	∂^2l(y_i	NOUN
fcis-12974	67	21	,	,	PUNCT
fcis-12974	67	22	ŷ_i	ŷ_i	NOUN
fcis-12974	67	23	)	)	PUNCT
fcis-12974	67	24	/	/	SYM
fcis-12974	67	25	∂ŷ_i^2	∂ŷ_i^2	NOUN
fcis-12974	67	26	(	(	PUNCT
fcis-12974	67	27	4	4	NUM
fcis-12974	67	28	)	)	PUNCT
fcis-12974	67	29	where	where	SCONJ
fcis-12974	67	30	g_i	g_i	PROPN
fcis-12974	67	31	represents	represent	VERB
fcis-12974	67	32	the	the	DET
fcis-12974	67	33	gradient	gradient	NOUN
fcis-12974	67	34	of	of	ADP
fcis-12974	67	35	the	the	DET
fcis-12974	67	36	loss	loss	NOUN
fcis-12974	67	37	function	function	NOUN
fcis-12974	67	38	with	with	ADP
fcis-12974	67	39	respect	respect	NOUN
fcis-12974	67	40	to	to	ADP
fcis-12974	67	41	the	the	DET
fcis-12974	67	42	predicted	predict	VERB
fcis-12974	67	43	value	value	NOUN
fcis-12974	67	44	,	,	PUNCT
fcis-12974	67	45	and	and	CCONJ
fcis-12974	67	46	h_i	h_i	X
fcis-12974	67	47	represents	represent	VERB
fcis-12974	67	48	the	the	DET
fcis-12974	67	49	second	second	ADJ
fcis-12974	67	50	derivative	derivative	NOUN
fcis-12974	67	51	of	of	ADP
fcis-12974	67	52	the	the	DET
fcis-12974	67	53	loss	loss	NOUN
fcis-12974	67	54	function	function	NOUN
fcis-12974	67	55	.	.	PUNCT
fcis-12974	68	1	specific	specific	ADJ
fcis-12974	68	2	steps	step	NOUN
fcis-12974	68	3	:	:	PUNCT
fcis-12974	68	4	a.	a.	NOUN
fcis-12974	68	5	initialize	initialize	VERB
fcis-12974	68	6	the	the	DET
fcis-12974	68	7	model	model	NOUN
fcis-12974	68	8	:	:	PUNCT
fcis-12974	68	9	to	to	PART
fcis-12974	68	10	begin	begin	VERB
fcis-12974	68	11	,	,	PUNCT
fcis-12974	68	12	initialize	initialize	VERB
fcis-12974	68	13	a	a	DET
fcis-12974	68	14	simple	simple	ADJ
fcis-12974	68	15	model	model	NOUN
fcis-12974	68	16	as	as	ADP
fcis-12974	68	17	the	the	DET
fcis-12974	68	18	initial	initial	ADJ
fcis-12974	68	19	predicted	predict	VERB
fcis-12974	68	20	value	value	NOUN
fcis-12974	68	21	,	,	PUNCT
fcis-12974	68	22	usually	usually	ADV
fcis-12974	68	23	a	a	DET
fcis-12974	68	24	constant	constant	ADJ
fcis-12974	68	25	,	,	PUNCT
fcis-12974	68	26	such	such	ADJ
fcis-12974	68	27	as	as	ADP
fcis-12974	68	28	the	the	DET
fcis-12974	68	29	average	average	NOUN
fcis-12974	68	30	of	of	ADP
fcis-12974	68	31	all	all	DET
fcis-12974	68	32	the	the	DET
fcis-12974	68	33	training	training	NOUN
fcis-12974	68	34	samples	sample	NOUN
fcis-12974	68	35	.	.	PUNCT
fcis-12974	69	1	b.	b.	PROPN
fcis-12974	69	2	iterative	iterative	PROPN
fcis-12974	69	3	training	training	NOUN
fcis-12974	69	4	:	:	PUNCT
fcis-12974	69	5	repeat	repeat	VERB
fcis-12974	69	6	the	the	DET
fcis-12974	69	7	following	follow	VERB
fcis-12974	69	8	steps	step	NOUN
fcis-12974	69	9	:	:	PUNCT
fcis-12974	69	10	a	a	X
fcis-12974	69	11	)	)	PUNCT
fcis-12974	69	12	calculate	calculate	VERB
fcis-12974	69	13	the	the	DET
fcis-12974	69	14	gradients	gradient	NOUN
fcis-12974	69	15	and	and	CCONJ
fcis-12974	69	16	second	second	ADJ
fcis-12974	69	17	derivatives	derivative	NOUN
fcis-12974	69	18	of	of	ADP
fcis-12974	69	19	the	the	DET
fcis-12974	69	20	current	current	ADJ
fcis-12974	69	21	model	model	NOUN
fcis-12974	69	22	.	.	PUNCT
fcis-12974	70	1	b	b	X
fcis-12974	70	2	)	)	PUNCT
fcis-12974	70	3	train	train	VERB
fcis-12974	70	4	a	a	DET
fcis-12974	70	5	new	new	ADJ
fcis-12974	70	6	regression	regression	NOUN
fcis-12974	70	7	tree	tree	NOUN
fcis-12974	70	8	to	to	PART
fcis-12974	70	9	fit	fit	VERB
fcis-12974	70	10	the	the	DET
fcis-12974	70	11	negative	negative	ADJ
fcis-12974	70	12	gradient	gradient	NOUN
fcis-12974	70	13	to	to	PART
fcis-12974	70	14	reduce	reduce	VERB
fcis-12974	70	15	the	the	DET
fcis-12974	70	16	loss	loss	NOUN
fcis-12974	70	17	function	function	NOUN
fcis-12974	70	18	.	.	PUNCT
fcis-12974	71	1	c	c	X
fcis-12974	71	2	)	)	PUNCT
fcis-12974	71	3	use	use	VERB
fcis-12974	71	4	linear	linear	ADJ
fcis-12974	71	5	search	search	NOUN
fcis-12974	71	6	to	to	PART
fcis-12974	71	7	find	find	VERB
fcis-12974	71	8	the	the	DET
fcis-12974	71	9	best	good	ADJ
fcis-12974	71	10	tree	tree	NOUN
fcis-12974	71	11	structure	structure	NOUN
fcis-12974	71	12	(	(	PUNCT
fcis-12974	71	13	split	split	NOUN
fcis-12974	71	14	point	point	NOUN
fcis-12974	71	15	and	and	CCONJ
fcis-12974	71	16	leaf	leaf	NOUN
fcis-12974	71	17	node	node	ADJ
fcis-12974	71	18	values	value	NOUN
fcis-12974	71	19	)	)	PUNCT
fcis-12974	71	20	.	.	PUNCT
fcis-12974	72	1	d	d	X
fcis-12974	72	2	)	)	PUNCT
fcis-12974	72	3	update	update	NOUN
fcis-12974	72	4	model	model	NOUN
fcis-12974	72	5	parameters	parameter	NOUN
fcis-12974	72	6	,	,	PUNCT
fcis-12974	72	7	including	include	VERB
fcis-12974	72	8	the	the	DET
fcis-12974	72	9	structure	structure	NOUN
fcis-12974	72	10	of	of	ADP
fcis-12974	72	11	the	the	DET
fcis-12974	72	12	tree	tree	NOUN
fcis-12974	72	13	and	and	CCONJ
fcis-12974	72	14	the	the	DET
fcis-12974	72	15	values	value	NOUN
fcis-12974	72	16	of	of	ADP
fcis-12974	72	17	the	the	DET
fcis-12974	72	18	leaf	leaf	NOUN
fcis-12974	72	19	nodes	node	NOUN
fcis-12974	72	20	.	.	PUNCT
fcis-12974	73	1	c.	c.	NOUN
fcis-12974	73	2	regularization	regularization	NOUN
fcis-12974	73	3	:	:	PUNCT
fcis-12974	73	4	after	after	ADP
fcis-12974	73	5	each	each	DET
fcis-12974	73	6	iteration	iteration	NOUN
fcis-12974	73	7	,	,	PUNCT
fcis-12974	73	8	regularization	regularization	NOUN
fcis-12974	73	9	terms	term	NOUN
fcis-12974	73	10	are	be	AUX
fcis-12974	73	11	applied	apply	VERB
fcis-12974	73	12	to	to	PART
fcis-12974	73	13	control	control	VERB
fcis-12974	73	14	the	the	DET
fcis-12974	73	15	complexity	complexity	NOUN
fcis-12974	73	16	of	of	ADP
fcis-12974	73	17	the	the	DET
fcis-12974	73	18	model	model	NOUN
fcis-12974	73	19	.	.	PUNCT
fcis-12974	74	1	d.	d.	PROPN
fcis-12974	74	2	stop	stop	VERB
fcis-12974	74	3	early	early	ADV
fcis-12974	74	4	:	:	PUNCT
fcis-12974	74	5	we	we	PRON
fcis-12974	74	6	can	can	AUX
fcis-12974	74	7	monitor	monitor	VERB
fcis-12974	74	8	the	the	DET
fcis-12974	74	9	performance	performance	NOUN
fcis-12974	74	10	of	of	ADP
fcis-12974	74	11	the	the	DET
fcis-12974	74	12	validated	validate	VERB
fcis-12974	74	13	data	datum	NOUN
fcis-12974	74	14	and	and	CCONJ
fcis-12974	74	15	stop	stop	VERB
fcis-12974	74	16	training	training	NOUN
fcis-12974	74	17	when	when	SCONJ
fcis-12974	74	18	the	the	DET
fcis-12974	74	19	performance	performance	NOUN
fcis-12974	74	20	is	be	AUX
fcis-12974	74	21	no	no	ADV
fcis-12974	74	22	longer	long	ADV
fcis-12974	74	23	improving	improve	VERB
fcis-12974	74	24	to	to	PART
fcis-12974	74	25	avoid	avoid	VERB
fcis-12974	74	26	overfitting	overfitte	VERB
fcis-12974	74	27	.	.	PUNCT
fcis-12974	75	1	2.3	2.3	NUM
fcis-12974	75	2	.	.	PUNCT
fcis-12974	76	1	experimental	experimental	ADJ
fcis-12974	76	2	object	object	NOUN
fcis-12974	76	3	the	the	DET
fcis-12974	76	4	overall	overall	ADJ
fcis-12974	76	5	goal	goal	NOUN
fcis-12974	76	6	is	be	AUX
fcis-12974	76	7	to	to	PART
fcis-12974	76	8	classify	classify	VERB
fcis-12974	76	9	potential	potential	ADJ
fcis-12974	76	10	consumers	consumer	NOUN
fcis-12974	76	11	according	accord	VERB
fcis-12974	76	12	to	to	ADP
fcis-12974	76	13	different	different	ADJ
fcis-12974	76	14	characteristics	characteristic	NOUN
fcis-12974	76	15	,	,	PUNCT
fcis-12974	76	16	and	and	CCONJ
fcis-12974	76	17	further	further	ADJ
fcis-12974	76	18	data	datum	NOUN
fcis-12974	76	19	analysis	analysis	NOUN
fcis-12974	76	20	on	on	ADP
fcis-12974	76	21	the	the	DET
fcis-12974	76	22	basis	basis	NOUN
fcis-12974	76	23	of	of	ADP
fcis-12974	76	24	classification	classification	NOUN
fcis-12974	76	25	,	,	PUNCT
fcis-12974	76	26	on	on	ADP
fcis-12974	76	27	this	this	DET
fcis-12974	76	28	basis	basis	NOUN
fcis-12974	76	29	,	,	PUNCT
fcis-12974	76	30	we	we	PRON
fcis-12974	76	31	use	use	VERB
fcis-12974	76	32	xgboost	xgboost	ADJ
fcis-12974	76	33	algorithm	algorithm	NOUN
fcis-12974	76	34	to	to	PART
fcis-12974	76	35	classify	classify	VERB
fcis-12974	76	36	consumers	consumer	NOUN
fcis-12974	76	37	.	.	PUNCT
fcis-12974	77	1			PROPN
fcis-12974	77	2	get	get	VERB
fcis-12974	77	3	some	some	DET
fcis-12974	77	4	clean	clean	ADJ
fcis-12974	77	5	data	datum	NOUN
fcis-12974	77	6	through	through	ADP
fcis-12974	77	7	data	datum	NOUN
fcis-12974	77	8	preprocessing	preprocessing	NOUN
fcis-12974	77	9	.	.	PUNCT
fcis-12974	78	1			ADJ
fcis-12974	78	2	group	group	NOUN
fcis-12974	78	3	consumers	consumer	NOUN
fcis-12974	78	4	with	with	ADP
fcis-12974	78	5	different	different	ADJ
fcis-12974	78	6	characteristic	characteristic	ADJ
fcis-12974	78	7	values	value	NOUN
fcis-12974	78	8	.	.	PUNCT
fcis-12974	79	1			VERB
fcis-12974	79	2	in	in	ADP
fcis-12974	79	3	the	the	DET
fcis-12974	79	4	classification	classification	NOUN
fcis-12974	79	5	results	result	NOUN
fcis-12974	79	6	,	,	PUNCT
fcis-12974	79	7	and	and	CCONJ
fcis-12974	79	8	specific	specific	ADJ
fcis-12974	79	9	analysis	analysis	NOUN
fcis-12974	79	10	of	of	ADP
fcis-12974	79	11	the	the	DET
fcis-12974	79	12	results	result	NOUN
fcis-12974	79	13	.	.	PUNCT
fcis-12974	80	1	3	3	X
fcis-12974	80	2	.	.	X
fcis-12974	80	3	methods	method	NOUN
fcis-12974	80	4	first	first	ADV
fcis-12974	80	5	of	of	ADP
fcis-12974	80	6	all	all	PRON
fcis-12974	80	7	,	,	PUNCT
fcis-12974	80	8	the	the	DET
fcis-12974	80	9	data	data	NOUN
fcis-12974	80	10	is	be	AUX
fcis-12974	80	11	obtained	obtain	VERB
fcis-12974	80	12	from	from	ADP
fcis-12974	80	13	taobao	taobao	PROPN
fcis-12974	80	14	official	official	NOUN
fcis-12974	80	15	,	,	PUNCT
fcis-12974	80	16	and	and	CCONJ
fcis-12974	80	17	then	then	ADV
fcis-12974	80	18	some	some	DET
fcis-12974	80	19	characteristics	characteristic	NOUN
fcis-12974	80	20	and	and	CCONJ
fcis-12974	80	21	dimensions	dimension	NOUN
fcis-12974	80	22	of	of	ADP
fcis-12974	80	23	the	the	DET
fcis-12974	80	24	data	datum	NOUN
fcis-12974	80	25	set	set	VERB
fcis-12974	80	26	are	be	AUX
fcis-12974	80	27	learned	learn	VERB
fcis-12974	80	28	by	by	ADP
fcis-12974	80	29	reading	read	VERB
fcis-12974	80	30	the	the	DET
fcis-12974	80	31	attributes	attribute	NOUN
fcis-12974	80	32	of	of	ADP
fcis-12974	80	33	the	the	DET
fcis-12974	80	34	data	datum	NOUN
fcis-12974	80	35	set	set	VERB
fcis-12974	80	36	.	.	PUNCT
fcis-12974	81	1	secondly	secondly	ADV
fcis-12974	81	2	,	,	PUNCT
fcis-12974	81	3	the	the	DET
fcis-12974	81	4	data	datum	NOUN
fcis-12974	81	5	set	set	VERB
fcis-12974	81	6	is	be	AUX
fcis-12974	81	7	cleaned	clean	VERB
fcis-12974	81	8	and	and	CCONJ
fcis-12974	81	9	preprocessed	preprocesse	VERB
fcis-12974	81	10	.	.	PUNCT
fcis-12974	82	1	some	some	DET
fcis-12974	82	2	null	null	ADJ
fcis-12974	82	3	values	value	NOUN
fcis-12974	82	4	and	and	CCONJ
fcis-12974	82	5	indexes	index	NOUN
fcis-12974	82	6	will	will	AUX
fcis-12974	82	7	be	be	AUX
fcis-12974	82	8	cleaned	clean	VERB
fcis-12974	82	9	,	,	PUNCT
fcis-12974	82	10	and	and	CCONJ
fcis-12974	82	11	the	the	DET
fcis-12974	82	12	cleaned	clean	VERB
fcis-12974	82	13	data	datum	NOUN
fcis-12974	82	14	will	will	AUX
fcis-12974	82	15	be	be	AUX
fcis-12974	82	16	saved	save	VERB
fcis-12974	82	17	as	as	ADP
fcis-12974	82	18	a	a	DET
fcis-12974	82	19	local	local	ADJ
fcis-12974	82	20	csv	csv	NOUN
fcis-12974	82	21	file	file	NOUN
fcis-12974	82	22	.	.	PUNCT
fcis-12974	83	1	after	after	SCONJ
fcis-12974	83	2	data	data	NOUN
fcis-12974	83	3	processing	processing	NOUN
fcis-12974	83	4	is	be	AUX
fcis-12974	83	5	completed	complete	VERB
fcis-12974	83	6	,	,	PUNCT
fcis-12974	83	7	xgboost	xgboost	X
fcis-12974	83	8	algorithm	algorithm	PROPN
fcis-12974	83	9	is	be	AUX
fcis-12974	83	10	introduced	introduce	VERB
fcis-12974	83	11	,	,	PUNCT
fcis-12974	83	12	and	and	CCONJ
fcis-12974	83	13	different	different	ADJ
fcis-12974	83	14	models	model	NOUN
fcis-12974	83	15	are	be	AUX
fcis-12974	83	16	drawn	draw	VERB
fcis-12974	83	17	according	accord	VERB
fcis-12974	83	18	to	to	ADP
fcis-12974	83	19	different	different	ADJ
fcis-12974	83	20	eigenvalues	eigenvalue	NOUN
fcis-12974	83	21	,	,	PUNCT
fcis-12974	83	22	and	and	CCONJ
fcis-12974	83	23	specific	specific	ADJ
fcis-12974	83	24	analysis	analysis	NOUN
fcis-12974	83	25	is	be	AUX
fcis-12974	83	26	made	make	VERB
fcis-12974	83	27	according	accord	VERB
fcis-12974	83	28	to	to	ADP
fcis-12974	83	29	these	these	DET
fcis-12974	83	30	specific	specific	ADJ
fcis-12974	83	31	models	model	NOUN
fcis-12974	83	32	.	.	PUNCT
fcis-12974	84	1	the	the	DET
fcis-12974	84	2	results	result	NOUN
fcis-12974	84	3	show	show	VERB
fcis-12974	84	4	that	that	SCONJ
fcis-12974	84	5	the	the	DET
fcis-12974	84	6	xgboost	xgboost	ADJ
fcis-12974	84	7	algorithm	algorithm	PROPN
fcis-12974	84	8	can	can	AUX
fcis-12974	84	9	effectively	effectively	ADV
fcis-12974	84	10	classify	classify	VERB
fcis-12974	84	11	consumers	consumer	NOUN
fcis-12974	84	12	.	.	PUNCT
fcis-12974	85	1	the	the	DET
fcis-12974	85	2	data	data	NOUN
fcis-12974	85	3	comes	come	VERB
fcis-12974	85	4	from	from	ADP
fcis-12974	85	5	taobao	taobao	PROPN
fcis-12974	85	6	alibaba	alibaba	PROPN
fcis-12974	85	7	tianchi	tianchi	PROPN
fcis-12974	85	8	data	datum	NOUN
fcis-12974	85	9	set	set	VERB
fcis-12974	85	10	,	,	PUNCT
fcis-12974	85	11	the	the	DET
fcis-12974	85	12	official	official	ADJ
fcis-12974	85	13	name	name	NOUN
fcis-12974	85	14	is	be	AUX
fcis-12974	85	15	"	"	PUNCT
fcis-12974	85	16	userbehavior.csv	userbehavior.csv	PUNCT
fcis-12974	85	17	"	"	PUNCT
fcis-12974	85	18	,	,	PUNCT
fcis-12974	85	19	the	the	DET
fcis-12974	85	20	data	datum	NOUN
fcis-12974	85	21	set	set	NOUN
fcis-12974	85	22	has	have	VERB
fcis-12974	85	23	5	5	NUM
fcis-12974	85	24	variables	variable	NOUN
fcis-12974	85	25	.	.	PUNCT
fcis-12974	86	1	the	the	DET
fcis-12974	86	2	five	five	NUM
fcis-12974	86	3	different	different	ADJ
fcis-12974	86	4	variables	variable	NOUN
fcis-12974	86	5	are	be	AUX
fcis-12974	86	6	user_id	user_id	PROPN
fcis-12974	86	7	,	,	PUNCT
fcis-12974	86	8	item_id	item_id	PROPN
fcis-12974	86	9	,	,	PUNCT
fcis-12974	86	10	category_id	category_id	PROPN
fcis-12974	86	11	,	,	PUNCT
fcis-12974	86	12	behavior	behavior	NOUN
fcis-12974	86	13	,	,	PUNCT
fcis-12974	86	14	and	and	CCONJ
fcis-12974	86	15	timestamp	timestamp	NOUN
fcis-12974	86	16	.	.	PUNCT
fcis-12974	87	1	user_id	user_id	PROPN
fcis-12974	87	2	is	be	AUX
fcis-12974	87	3	the	the	DET
fcis-12974	87	4	number	number	NOUN
fcis-12974	87	5	of	of	ADP
fcis-12974	87	6	each	each	DET
fcis-12974	87	7	consumer	consumer	NOUN
fcis-12974	87	8	,	,	PUNCT
fcis-12974	87	9	numbered	number	VERB
fcis-12974	87	10	in	in	ADP
fcis-12974	87	11	arabic	arabic	ADJ
fcis-12974	87	12	numerals	numeral	NOUN
fcis-12974	87	13	;	;	PUNCT
fcis-12974	87	14	item_id	item_id	PROPN
fcis-12974	87	15	indicates	indicate	VERB
fcis-12974	87	16	the	the	DET
fcis-12974	87	17	item	item	NOUN
fcis-12974	87	18	i	i	PROPN
fcis-12974	87	19	d	d	PROPN
fcis-12974	87	20	(	(	PUNCT
fcis-12974	87	21	arabic	arabic	ADJ
fcis-12974	87	22	digit	digit	NOUN
fcis-12974	87	23	)	)	PUNCT
fcis-12974	87	24	.	.	PUNCT
fcis-12974	88	1	category_id	category_id	PROPN
fcis-12974	88	2	refers	refer	VERB
fcis-12974	88	3	to	to	ADP
fcis-12974	88	4	a	a	DET
fcis-12974	88	5	category	category	NOUN
fcis-12974	88	6	of	of	ADP
fcis-12974	88	7	merchandise	merchandise	NOUN
fcis-12974	88	8	.	.	PUNCT
fcis-12974	89	1	behavior	behavior	NOUN
fcis-12974	89	2	refers	refer	VERB
fcis-12974	89	3	to	to	ADP
fcis-12974	89	4	customer	customer	NOUN
fcis-12974	89	5	consumption	consumption	NOUN
fcis-12974	89	6	behavior	behavior	NOUN
fcis-12974	89	7	;	;	PUNCT
fcis-12974	89	8	timestamp	timestamp	NOUN
fcis-12974	89	9	refers	refer	VERB
fcis-12974	89	10	to	to	ADP
fcis-12974	89	11	the	the	DET
fcis-12974	89	12	time	time	NOUN
fcis-12974	89	13	spent	spend	VERB
fcis-12974	89	14	by	by	ADP
fcis-12974	89	15	the	the	DET
fcis-12974	89	16	customer	customer	NOUN
fcis-12974	89	17	.	.	PUNCT
fcis-12974	90	1	4	4	X
fcis-12974	90	2	.	.	X
fcis-12974	90	3	experiment	experiment	NOUN
fcis-12974	90	4	and	and	CCONJ
fcis-12974	90	5	verification	verification	NOUN
fcis-12974	90	6	the	the	DET
fcis-12974	90	7	experiment	experiment	NOUN
fcis-12974	90	8	system	system	NOUN
fcis-12974	90	9	is	be	AUX
fcis-12974	90	10	win10	win10	PROPN
fcis-12974	90	11	,	,	PUNCT
fcis-12974	90	12	python	python	PROPN
fcis-12974	90	13	language	language	NOUN
fcis-12974	90	14	environment	environment	NOUN
fcis-12974	90	15	,	,	PUNCT
fcis-12974	90	16	using	use	VERB
fcis-12974	90	17	anaconda	anaconda	PROPN
fcis-12974	90	18	software	software	NOUN
fcis-12974	90	19	.	.	PUNCT
fcis-12974	91	1	for	for	ADP
fcis-12974	91	2	the	the	DET
fcis-12974	91	3	convenience	convenience	NOUN
fcis-12974	91	4	of	of	ADP
fcis-12974	91	5	subsequent	subsequent	ADJ
fcis-12974	91	6	statistical	statistical	ADJ
fcis-12974	91	7	data	datum	NOUN
fcis-12974	91	8	,	,	PUNCT
fcis-12974	91	9	the	the	DET
fcis-12974	91	10	original	original	ADJ
fcis-12974	91	11	data	datum	NOUN
fcis-12974	91	12	must	must	AUX
fcis-12974	91	13	be	be	AUX
fcis-12974	91	14	preprocessed	preprocesse	VERB
fcis-12974	91	15	first	first	ADV
fcis-12974	91	16	,	,	PUNCT
fcis-12974	91	17	null	null	ADJ
fcis-12974	91	18	and	and	CCONJ
fcis-12974	91	19	duplicate	duplicate	ADJ
fcis-12974	91	20	values	value	NOUN
fcis-12974	91	21	removed	remove	VERB
fcis-12974	91	22	,	,	PUNCT
fcis-12974	91	23	and	and	CCONJ
fcis-12974	91	24	the	the	DET
fcis-12974	91	25	timestamp	timestamp	NOUN
fcis-12974	91	26	converted	convert	VERB
fcis-12974	91	27	to	to	ADP
fcis-12974	91	28	the	the	DET
fcis-12974	91	29	correct	correct	ADJ
fcis-12974	91	30	time	time	NOUN
fcis-12974	91	31	format	format	NOUN
fcis-12974	91	32	.	.	PUNCT
fcis-12974	92	1	the	the	DET
fcis-12974	92	2	result	result	NOUN
fcis-12974	92	3	after	after	SCONJ
fcis-12974	92	4	processing	processing	NOUN
fcis-12974	92	5	is	be	AUX
fcis-12974	92	6	shown	show	VERB
fcis-12974	92	7	in	in	ADP
fcis-12974	92	8	figure	figure	NOUN
fcis-12974	92	9	1	1	NUM
fcis-12974	92	10	.	.	PUNCT
fcis-12974	92	11	figure	figure	NOUN
fcis-12974	92	12	1	1	NUM
fcis-12974	92	13	.	.	PUNCT
fcis-12974	92	14	correct	correct	ADJ
fcis-12974	92	15	timestamp	timestamp	NOUN
fcis-12974	92	16	format	format	NOUN
fcis-12974	92	17	there	there	PRON
fcis-12974	92	18	are	be	VERB
fcis-12974	92	19	four	four	NUM
fcis-12974	92	20	kinds	kind	NOUN
fcis-12974	92	21	of	of	ADP
fcis-12974	92	22	consumer	consumer	NOUN
fcis-12974	92	23	behaviors	behavior	NOUN
fcis-12974	92	24	,	,	PUNCT
fcis-12974	92	25	including	include	VERB
fcis-12974	92	26	click	click	NOUN
fcis-12974	92	27	(	(	PUNCT
fcis-12974	92	28	pv	pv	NOUN
fcis-12974	92	29	)	)	PUNCT
fcis-12974	92	30	,	,	PUNCT
fcis-12974	92	31	buy	buy	VERB
fcis-12974	92	32	(	(	PUNCT
fcis-12974	92	33	buy	buy	NOUN
fcis-12974	92	34	)	)	PUNCT
fcis-12974	92	35	,	,	PUNCT
fcis-12974	92	36	add	add	VERB
fcis-12974	92	37	to	to	ADP
fcis-12974	92	38	cart	cart	NOUN
fcis-12974	92	39	(	(	PUNCT
fcis-12974	92	40	cart	cart	NOUN
fcis-12974	92	41	)	)	PUNCT
fcis-12974	92	42	and	and	CCONJ
fcis-12974	92	43	like	like	INTJ
fcis-12974	92	44	(	(	PUNCT
fcis-12974	92	45	fav	fav	ADJ
fcis-12974	92	46	)	)	PUNCT
fcis-12974	92	47	.	.	PUNCT
fcis-12974	93	1	after	after	ADP
fcis-12974	93	2	87	87	NUM
fcis-12974	93	3	preliminary	preliminary	ADJ
fcis-12974	93	4	statistics	statistic	NOUN
fcis-12974	93	5	,	,	PUNCT
fcis-12974	93	6	it	it	PRON
fcis-12974	93	7	is	be	AUX
fcis-12974	93	8	found	find	VERB
fcis-12974	93	9	that	that	SCONJ
fcis-12974	93	10	most	most	ADJ
fcis-12974	93	11	behaviors	behavior	NOUN
fcis-12974	93	12	of	of	ADP
fcis-12974	93	13	consumers	consumer	NOUN
fcis-12974	93	14	are	be	AUX
fcis-12974	93	15	click	click	VERB
fcis-12974	93	16	behaviors	behavior	NOUN
fcis-12974	93	17	,	,	PUNCT
fcis-12974	93	18	and	and	CCONJ
fcis-12974	93	19	there	there	PRON
fcis-12974	93	20	are	be	VERB
fcis-12974	93	21	few	few	ADJ
fcis-12974	93	22	samples	sample	NOUN
fcis-12974	93	23	of	of	ADP
fcis-12974	93	24	purchase	purchase	NOUN
fcis-12974	93	25	behaviors	behavior	NOUN
fcis-12974	93	26	,	,	PUNCT
fcis-12974	93	27	and	and	CCONJ
fcis-12974	93	28	the	the	DET
fcis-12974	93	29	proportion	proportion	NOUN
fcis-12974	93	30	of	of	ADP
fcis-12974	93	31	positive	positive	ADJ
fcis-12974	93	32	and	and	CCONJ
fcis-12974	93	33	negative	negative	ADJ
fcis-12974	93	34	samples	sample	NOUN
fcis-12974	93	35	is	be	AUX
fcis-12974	93	36	seriously	seriously	ADV
fcis-12974	93	37	unbalanced	unbalanced	ADJ
fcis-12974	93	38	.	.	PUNCT
fcis-12974	94	1	in	in	ADP
fcis-12974	94	2	machine	machine	NOUN
fcis-12974	94	3	learning	learning	NOUN
fcis-12974	94	4	models	model	NOUN
fcis-12974	94	5	,	,	PUNCT
fcis-12974	94	6	unbalanced	unbalanced	ADJ
fcis-12974	94	7	ratios	ratio	NOUN
fcis-12974	94	8	of	of	ADP
fcis-12974	94	9	positive	positive	ADJ
fcis-12974	94	10	and	and	CCONJ
fcis-12974	94	11	negative	negative	ADJ
fcis-12974	94	12	samples	sample	NOUN
fcis-12974	94	13	can	can	AUX
fcis-12974	94	14	lead	lead	VERB
fcis-12974	94	15	to	to	ADP
fcis-12974	94	16	overfitting	overfitte	VERB
fcis-12974	94	17	of	of	ADP
fcis-12974	94	18	training	training	NOUN
fcis-12974	94	19	results	result	NOUN
fcis-12974	94	20	,	,	PUNCT
fcis-12974	94	21	which	which	PRON
fcis-12974	94	22	means	mean	VERB
fcis-12974	94	23	that	that	SCONJ
fcis-12974	94	24	the	the	DET
fcis-12974	94	25	prediction	prediction	NOUN
fcis-12974	94	26	results	result	NOUN
fcis-12974	94	27	may	may	AUX
fcis-12974	94	28	be	be	AUX
fcis-12974	94	29	more	more	ADV
fcis-12974	94	30	accurate	accurate	ADJ
fcis-12974	94	31	in	in	ADP
fcis-12974	94	32	the	the	DET
fcis-12974	94	33	category	category	NOUN
fcis-12974	94	34	with	with	ADP
fcis-12974	94	35	more	more	ADJ
fcis-12974	94	36	data	datum	NOUN
fcis-12974	94	37	.	.	PUNCT
fcis-12974	95	1	in	in	ADP
fcis-12974	95	2	order	order	NOUN
fcis-12974	95	3	to	to	PART
fcis-12974	95	4	improve	improve	VERB
fcis-12974	95	5	the	the	DET
fcis-12974	95	6	prediction	prediction	NOUN
fcis-12974	95	7	accuracy	accuracy	NOUN
fcis-12974	95	8	,	,	PUNCT
fcis-12974	95	9	it	it	PRON
fcis-12974	95	10	is	be	AUX
fcis-12974	95	11	necessary	necessary	ADJ
fcis-12974	95	12	to	to	PART
fcis-12974	95	13	delete	delete	VERB
fcis-12974	95	14	some	some	DET
fcis-12974	95	15	special	special	ADJ
fcis-12974	95	16	data	datum	NOUN
fcis-12974	95	17	:	:	PUNCT
fcis-12974	95	18	1	1	X
fcis-12974	95	19	.	.	X
fcis-12974	95	20	impulse	impulse	ADJ
fcis-12974	95	21	consumption	consumption	NOUN
fcis-12974	95	22	or	or	CCONJ
fcis-12974	95	23	malicious	malicious	ADJ
fcis-12974	95	24	brushing	brushing	NOUN
fcis-12974	95	25	suspected	suspect	VERB
fcis-12974	95	26	data	datum	NOUN
fcis-12974	95	27	,	,	PUNCT
fcis-12974	95	28	that	that	ADV
fcis-12974	95	29	is	is	ADV
fcis-12974	95	30	,	,	PUNCT
fcis-12974	95	31	consumers	consumer	NOUN
fcis-12974	95	32	make	make	VERB
fcis-12974	95	33	purchases	purchase	NOUN
fcis-12974	95	34	when	when	SCONJ
fcis-12974	95	35	there	there	PRON
fcis-12974	95	36	is	be	VERB
fcis-12974	95	37	no	no	DET
fcis-12974	95	38	clicking	clicking	ADJ
fcis-12974	95	39	behavior	behavior	NOUN
fcis-12974	95	40	on	on	ADP
fcis-12974	95	41	the	the	DET
fcis-12974	95	42	product	product	NOUN
fcis-12974	95	43	.	.	PUNCT
fcis-12974	96	1	such	such	ADJ
fcis-12974	96	2	consumer	consumer	NOUN
fcis-12974	96	3	behaviors	behavior	NOUN
fcis-12974	96	4	belong	belong	VERB
fcis-12974	96	5	to	to	ADP
fcis-12974	96	6	impulse	impulse	ADJ
fcis-12974	96	7	consumption	consumption	NOUN
fcis-12974	96	8	behaviors	behavior	NOUN
fcis-12974	96	9	without	without	ADP
fcis-12974	96	10	considering	consider	VERB
fcis-12974	96	11	the	the	DET
fcis-12974	96	12	brushing	brushing	NOUN
fcis-12974	96	13	behavior	behavior	NOUN
fcis-12974	96	14	.	.	PUNCT
fcis-12974	97	1	2	2	NUM
fcis-12974	97	2	low	low	ADJ
fcis-12974	97	3	frequency	frequency	NOUN
fcis-12974	97	4	single	single	ADJ
fcis-12974	97	5	operation	operation	NOUN
fcis-12974	97	6	of	of	ADP
fcis-12974	97	7	a	a	DET
fcis-12974	97	8	single	single	ADJ
fcis-12974	97	9	product	product	NOUN
fcis-12974	97	10	,	,	PUNCT
fcis-12974	97	11	the	the	DET
fcis-12974	97	12	consumer	consumer	NOUN
fcis-12974	97	13	has	have	VERB
fcis-12974	97	14	only	only	ADV
fcis-12974	97	15	one	one	NUM
fcis-12974	97	16	click	click	VERB
fcis-12974	97	17	on	on	ADP
fcis-12974	97	18	a	a	DET
fcis-12974	97	19	category	category	NOUN
fcis-12974	97	20	of	of	ADP
fcis-12974	97	21	goods	good	NOUN
fcis-12974	97	22	,	,	PUNCT
fcis-12974	97	23	that	that	ADV
fcis-12974	97	24	is	is	ADV
fcis-12974	97	25	,	,	PUNCT
fcis-12974	97	26	the	the	DET
fcis-12974	97	27	consumer	consumer	NOUN
fcis-12974	97	28	only	only	ADV
fcis-12974	97	29	views	view	VERB
fcis-12974	97	30	one	one	NUM
fcis-12974	97	31	of	of	ADP
fcis-12974	97	32	the	the	DET
fcis-12974	97	33	goods	good	NOUN
fcis-12974	97	34	of	of	ADP
fcis-12974	97	35	this	this	DET
fcis-12974	97	36	category	category	NOUN
fcis-12974	97	37	,	,	PUNCT
fcis-12974	97	38	and	and	CCONJ
fcis-12974	97	39	the	the	DET
fcis-12974	97	40	number	number	NOUN
fcis-12974	97	41	of	of	ADP
fcis-12974	97	42	operations	operation	NOUN
fcis-12974	97	43	is	be	AUX
fcis-12974	97	44	too	too	ADV
fcis-12974	97	45	few	few	ADJ
fcis-12974	97	46	,	,	PUNCT
fcis-12974	97	47	limited	limit	VERB
fcis-12974	97	48	to	to	ADP
fcis-12974	97	49	browsing	browse	VERB
fcis-12974	97	50	behavior	behavior	NOUN
fcis-12974	97	51	,	,	PUNCT
fcis-12974	97	52	and	and	CCONJ
fcis-12974	97	53	there	there	PRON
fcis-12974	97	54	is	be	VERB
fcis-12974	97	55	no	no	DET
fcis-12974	97	56	other	other	ADJ
fcis-12974	97	57	behavior	behavior	NOUN
fcis-12974	97	58	to	to	PART
fcis-12974	97	59	add	add	VERB
fcis-12974	97	60	to	to	ADP
fcis-12974	97	61	the	the	DET
fcis-12974	97	62	cart	cart	NOUN
fcis-12974	97	63	or	or	CCONJ
fcis-12974	97	64	like	like	INTJ
fcis-12974	97	65	to	to	PART
fcis-12974	97	66	show	show	VERB
fcis-12974	97	67	the	the	DET
fcis-12974	97	68	consumer	consumer	NOUN
fcis-12974	97	69	's	's	PART
fcis-12974	97	70	interest	interest	NOUN
fcis-12974	97	71	in	in	ADP
fcis-12974	97	72	the	the	DET
fcis-12974	97	73	product	product	NOUN
fcis-12974	97	74	,	,	PUNCT
fcis-12974	97	75	the	the	DET
fcis-12974	97	76	number	number	NOUN
fcis-12974	97	77	of	of	ADP
fcis-12974	97	78	behaviors	behavior	NOUN
fcis-12974	97	79	is	be	AUX
fcis-12974	97	80	too	too	ADV
fcis-12974	97	81	small	small	ADJ
fcis-12974	97	82	.	.	PUNCT
fcis-12974	98	1	it	it	PRON
fcis-12974	98	2	is	be	AUX
fcis-12974	98	3	difficult	difficult	ADJ
fcis-12974	98	4	to	to	PART
fcis-12974	98	5	judge	judge	VERB
fcis-12974	98	6	consumer	consumer	NOUN
fcis-12974	98	7	behavior	behavior	NOUN
fcis-12974	98	8	habits	habit	NOUN
fcis-12974	98	9	through	through	ADP
fcis-12974	98	10	such	such	ADJ
fcis-12974	98	11	behaviors	behavior	NOUN
fcis-12974	98	12	.	.	PUNCT
fcis-12974	99	1	3	3	X
fcis-12974	99	2	.	.	X
fcis-12974	99	3	low	low	ADJ
fcis-12974	99	4	-	-	PUNCT
fcis-12974	99	5	frequency	frequency	NOUN
fcis-12974	99	6	single	single	ADJ
fcis-12974	99	7	operation	operation	NOUN
fcis-12974	99	8	of	of	ADP
fcis-12974	99	9	multiple	multiple	ADJ
fcis-12974	99	10	goods	good	NOUN
fcis-12974	99	11	,	,	PUNCT
fcis-12974	99	12	view	view	NOUN
fcis-12974	99	13	of	of	ADP
fcis-12974	99	14	multiple	multiple	ADJ
fcis-12974	99	15	goods	good	NOUN
fcis-12974	99	16	under	under	ADP
fcis-12974	99	17	different	different	ADJ
fcis-12974	99	18	categories	category	NOUN
fcis-12974	99	19	,	,	PUNCT
fcis-12974	99	20	the	the	DET
fcis-12974	99	21	number	number	NOUN
fcis-12974	99	22	of	of	ADP
fcis-12974	99	23	behaviors	behavior	NOUN
fcis-12974	99	24	are	be	AUX
fcis-12974	99	25	too	too	ADV
fcis-12974	99	26	small	small	ADJ
fcis-12974	99	27	,	,	PUNCT
fcis-12974	99	28	and	and	CCONJ
fcis-12974	99	29	the	the	DET
fcis-12974	99	30	type	type	NOUN
fcis-12974	99	31	of	of	ADP
fcis-12974	99	32	behavior	behavior	NOUN
fcis-12974	99	33	is	be	AUX
fcis-12974	99	34	limited	limit	VERB
fcis-12974	99	35	to	to	PART
fcis-12974	99	36	click	click	VERB
fcis-12974	99	37	behavior	behavior	NOUN
fcis-12974	99	38	,	,	PUNCT
fcis-12974	99	39	and	and	CCONJ
fcis-12974	99	40	there	there	PRON
fcis-12974	99	41	is	be	VERB
fcis-12974	99	42	no	no	DET
fcis-12974	99	43	discernable	discernable	ADJ
fcis-12974	99	44	behavior	behavior	NOUN
fcis-12974	99	45	of	of	ADP
fcis-12974	99	46	liking	like	VERB
fcis-12974	99	47	goods	good	NOUN
fcis-12974	99	48	and	and	CCONJ
fcis-12974	99	49	adding	add	VERB
fcis-12974	99	50	goods	good	NOUN
fcis-12974	99	51	to	to	ADP
fcis-12974	99	52	the	the	DET
fcis-12974	99	53	cart	cart	NOUN
fcis-12974	99	54	.	.	PUNCT
fcis-12974	100	1	the	the	DET
fcis-12974	100	2	result	result	NOUN
fcis-12974	100	3	after	after	SCONJ
fcis-12974	100	4	processing	processing	NOUN
fcis-12974	100	5	is	be	AUX
fcis-12974	100	6	shown	show	VERB
fcis-12974	100	7	in	in	ADP
fcis-12974	100	8	figure	figure	NOUN
fcis-12974	100	9	2	2	NUM
fcis-12974	100	10	:	:	PUNCT
fcis-12974	100	11	figure	figure	NOUN
fcis-12974	100	12	2	2	NUM
fcis-12974	100	13	.	.	PUNCT
fcis-12974	100	14	preliminary	preliminary	ADJ
fcis-12974	100	15	data	datum	NOUN
fcis-12974	100	16	cleaning	clean	VERB
fcis-12974	100	17	figure	figure	NOUN
fcis-12974	100	18	3	3	NUM
fcis-12974	100	19	.	.	PUNCT
fcis-12974	101	1	sequence	sequence	NOUN
fcis-12974	101	2	length	length	NOUN
fcis-12974	101	3	10	10	NUM
fcis-12974	101	4	schematic	schematic	ADJ
fcis-12974	101	5	diagram	diagram	NOUN
fcis-12974	101	6	after	after	ADP
fcis-12974	101	7	data	data	NOUN
fcis-12974	101	8	statistics	statistic	NOUN
fcis-12974	101	9	,	,	PUNCT
fcis-12974	101	10	it	it	PRON
fcis-12974	101	11	is	be	AUX
fcis-12974	101	12	found	find	VERB
fcis-12974	101	13	that	that	SCONJ
fcis-12974	101	14	the	the	DET
fcis-12974	101	15	number	number	NOUN
fcis-12974	101	16	of	of	ADP
fcis-12974	101	17	behaviors	behavior	NOUN
fcis-12974	101	18	generated	generate	VERB
fcis-12974	101	19	in	in	ADP
fcis-12974	101	20	the	the	DET
fcis-12974	101	21	process	process	NOUN
fcis-12974	101	22	of	of	ADP
fcis-12974	101	23	consumer	consumer	NOUN
fcis-12974	101	24	activities	activity	NOUN
fcis-12974	101	25	is	be	AUX
fcis-12974	101	26	different	different	ADJ
fcis-12974	101	27	,	,	PUNCT
fcis-12974	101	28	and	and	CCONJ
fcis-12974	101	29	there	there	PRON
fcis-12974	101	30	may	may	AUX
fcis-12974	101	31	be	be	AUX
fcis-12974	101	32	differences	difference	NOUN
fcis-12974	101	33	in	in	ADP
fcis-12974	101	34	consumer	consumer	NOUN
fcis-12974	101	35	behaviors	behavior	NOUN
fcis-12974	101	36	under	under	ADP
fcis-12974	101	37	different	different	ADJ
fcis-12974	101	38	operation	operation	NOUN
fcis-12974	101	39	times	time	NOUN
fcis-12974	101	40	.	.	PUNCT
fcis-12974	102	1	the	the	DET
fcis-12974	102	2	next	next	ADJ
fcis-12974	102	3	step	step	NOUN
fcis-12974	102	4	is	be	AUX
fcis-12974	102	5	to	to	PART
fcis-12974	102	6	layer	layer	VERB
fcis-12974	102	7	the	the	DET
fcis-12974	102	8	data	datum	NOUN
fcis-12974	102	9	,	,	PUNCT
fcis-12974	102	10	which	which	PRON
fcis-12974	102	11	uses	use	VERB
fcis-12974	102	12	strings	string	NOUN
fcis-12974	102	13	for	for	ADP
fcis-12974	102	14	recording	record	VERB
fcis-12974	102	15	consumer	consumer	NOUN
fcis-12974	102	16	behavior	behavior	NOUN
fcis-12974	102	17	,	,	PUNCT
fcis-12974	102	18	which	which	PRON
fcis-12974	102	19	is	be	AUX
fcis-12974	102	20	not	not	PART
fcis-12974	102	21	easy	easy	ADJ
fcis-12974	102	22	to	to	PART
fcis-12974	102	23	train	train	VERB
fcis-12974	102	24	in	in	ADP
fcis-12974	102	25	xgboost	xgboost	PROPN
fcis-12974	102	26	.	.	PUNCT
fcis-12974	103	1	therefore	therefore	ADV
fcis-12974	103	2	,	,	PUNCT
fcis-12974	103	3	after	after	ADP
fcis-12974	103	4	analyzing	analyze	VERB
fcis-12974	103	5	the	the	DET
fcis-12974	103	6	sequence	sequence	NOUN
fcis-12974	103	7	of	of	ADP
fcis-12974	103	8	consumer	consumer	NOUN
fcis-12974	103	9	behaviors	behavior	NOUN
fcis-12974	103	10	,	,	PUNCT
fcis-12974	103	11	the	the	DET
fcis-12974	103	12	three	three	NUM
fcis-12974	103	13	behaviors	behavior	NOUN
fcis-12974	103	14	are	be	AUX
fcis-12974	103	15	defined	define	VERB
fcis-12974	103	16	as	as	ADP
fcis-12974	103	17	integer	integer	NOUN
fcis-12974	103	18	1	1	NUM
fcis-12974	103	19	,	,	PUNCT
fcis-12974	103	20	2	2	NUM
fcis-12974	103	21	and	and	CCONJ
fcis-12974	103	22	3	3	NUM
fcis-12974	103	23	respectively	respectively	ADV
fcis-12974	103	24	,	,	PUNCT
fcis-12974	103	25	and	and	CCONJ
fcis-12974	103	26	the	the	DET
fcis-12974	103	27	purchase	purchase	NOUN
fcis-12974	103	28	behavior	behavior	NOUN
fcis-12974	103	29	is	be	AUX
fcis-12974	103	30	separately	separately	ADV
fcis-12974	103	31	defined	define	VERB
fcis-12974	103	32	as	as	ADP
fcis-12974	103	33	integer	integer	NOUN
fcis-12974	103	34	4	4	NUM
fcis-12974	103	35	according	accord	VERB
fcis-12974	103	36	to	to	ADP
fcis-12974	103	37	the	the	DET
fcis-12974	103	38	order	order	NOUN
fcis-12974	103	39	of	of	ADP
fcis-12974	103	40	clicking	click	VERB
fcis-12974	103	41	behavior	behavior	NOUN
fcis-12974	103	42	,	,	PUNCT
fcis-12974	103	43	liking	like	VERB
fcis-12974	103	44	behavior	behavior	NOUN
fcis-12974	103	45	and	and	CCONJ
fcis-12974	103	46	adding	add	VERB
fcis-12974	103	47	to	to	ADP
fcis-12974	103	48	shopping	shop	VERB
fcis-12974	103	49	cart	cart	NOUN
fcis-12974	103	50	behavior	behavior	NOUN
fcis-12974	103	51	,	,	PUNCT
fcis-12974	103	52	that	that	ADV
fcis-12974	103	53	is	is	ADV
fcis-12974	103	54	,	,	PUNCT
fcis-12974	103	55	by	by	ADP
fcis-12974	103	56	analyzing	analyze	VERB
fcis-12974	103	57	the	the	DET
fcis-12974	103	58	degree	degree	NOUN
fcis-12974	103	59	of	of	ADP
fcis-12974	103	60	interest	interest	NOUN
fcis-12974	103	61	in	in	ADP
fcis-12974	103	62	the	the	DET
fcis-12974	103	63	products	product	NOUN
fcis-12974	103	64	shown	show	VERB
fcis-12974	103	65	by	by	ADP
fcis-12974	103	66	different	different	ADJ
fcis-12974	103	67	behaviors	behavior	NOUN
fcis-12974	103	68	of	of	ADP
fcis-12974	103	69	consumers	consumer	NOUN
fcis-12974	103	70	.	.	PUNCT
fcis-12974	104	1	suppose	suppose	VERB
fcis-12974	104	2	we	we	PRON
fcis-12974	104	3	initialize	initialize	VERB
fcis-12974	104	4	a	a	DET
fcis-12974	104	5	10	10	NUM
fcis-12974	104	6	-	-	PUNCT
fcis-12974	104	7	bit	bit	NOUN
fcis-12974	104	8	vector	vector	NOUN
fcis-12974	104	9	at	at	ADP
fcis-12974	104	10	this	this	DET
fcis-12974	104	11	point	point	NOUN
fcis-12974	104	12	,	,	PUNCT
fcis-12974	104	13	that	that	ADV
fcis-12974	104	14	is	is	ADV
fcis-12974	104	15	,	,	PUNCT
fcis-12974	104	16	the	the	DET
fcis-12974	104	17	consumer	consumer	NOUN
fcis-12974	104	18	behavior	behavior	NOUN
fcis-12974	104	19	sequence	sequence	NOUN
fcis-12974	104	20	length	length	NOUN
fcis-12974	104	21	is	be	AUX
fcis-12974	104	22	10	10	NUM
fcis-12974	104	23	,	,	PUNCT
fcis-12974	104	24	and	and	CCONJ
fcis-12974	104	25	the	the	DET
fcis-12974	104	26	execution	execution	NOUN
fcis-12974	104	27	result	result	NOUN
fcis-12974	104	28	is	be	AUX
fcis-12974	104	29	shown	show	VERB
fcis-12974	104	30	in	in	ADP
fcis-12974	104	31	figure	figure	NOUN
fcis-12974	104	32	3	3	NUM
fcis-12974	104	33	.	.	PUNCT
fcis-12974	105	1	in	in	ADP
fcis-12974	105	2	the	the	DET
fcis-12974	105	3	above	above	NOUN
fcis-12974	105	4	,	,	PUNCT
fcis-12974	105	5	we	we	PRON
fcis-12974	105	6	defined	define	VERB
fcis-12974	105	7	consumer	consumer	NOUN
fcis-12974	105	8	behavior	behavior	NOUN
fcis-12974	105	9	as	as	ADP
fcis-12974	105	10	integers	integer	NOUN
fcis-12974	105	11	1	1	NUM
fcis-12974	105	12	,	,	PUNCT
fcis-12974	105	13	2	2	NUM
fcis-12974	105	14	,	,	PUNCT
fcis-12974	105	15	3	3	NUM
fcis-12974	105	16	and	and	CCONJ
fcis-12974	105	17	4	4	NUM
fcis-12974	105	18	.	.	PUNCT
fcis-12974	106	1	next	next	ADV
fcis-12974	106	2	,	,	PUNCT
fcis-12974	106	3	in	in	ADP
fcis-12974	106	4	order	order	NOUN
fcis-12974	106	5	to	to	PART
fcis-12974	106	6	better	well	ADV
fcis-12974	106	7	integrate	integrate	VERB
fcis-12974	106	8	the	the	DET
fcis-12974	106	9	data	datum	NOUN
fcis-12974	106	10	into	into	ADP
fcis-12974	106	11	the	the	DET
fcis-12974	106	12	prediction	prediction	NOUN
fcis-12974	106	13	model	model	NOUN
fcis-12974	106	14	,	,	PUNCT
fcis-12974	106	15	this	this	DET
fcis-12974	106	16	paper	paper	NOUN
fcis-12974	106	17	will	will	AUX
fcis-12974	106	18	mark	mark	VERB
fcis-12974	106	19	data	data	PROPN
fcis-12974	106	20	0	0	NUM
fcis-12974	106	21	and	and	CCONJ
fcis-12974	106	22	1	1	NUM
fcis-12974	106	23	for	for	ADP
fcis-12974	106	24	each	each	DET
fcis-12974	106	25	user	user	NOUN
fcis-12974	106	26	according	accord	VERB
fcis-12974	106	27	to	to	ADP
fcis-12974	106	28	whether	whether	SCONJ
fcis-12974	106	29	there	there	PRON
fcis-12974	106	30	is	be	VERB
fcis-12974	106	31	a	a	DET
fcis-12974	106	32	purchase	purchase	NOUN
fcis-12974	106	33	behavior	behavior	NOUN
fcis-12974	106	34	,	,	PUNCT
fcis-12974	106	35	that	that	ADV
fcis-12974	106	36	is	is	ADV
fcis-12974	106	37	,	,	PUNCT
fcis-12974	106	38	if	if	SCONJ
fcis-12974	106	39	the	the	DET
fcis-12974	106	40	consumer	consumer	NOUN
fcis-12974	106	41	has	have	VERB
fcis-12974	106	42	a	a	DET
fcis-12974	106	43	purchase	purchase	NOUN
fcis-12974	106	44	behavior	behavior	NOUN
fcis-12974	106	45	,	,	PUNCT
fcis-12974	106	46	the	the	DET
fcis-12974	106	47	data	datum	NOUN
fcis-12974	106	48	will	will	AUX
fcis-12974	106	49	be	be	AUX
fcis-12974	106	50	marked	mark	VERB
fcis-12974	106	51	as	as	ADP
fcis-12974	106	52	1	1	NUM
fcis-12974	106	53	,	,	PUNCT
fcis-12974	106	54	otherwise	otherwise	ADV
fcis-12974	106	55	it	it	PRON
fcis-12974	106	56	will	will	AUX
fcis-12974	106	57	be	be	AUX
fcis-12974	106	58	0	0	NUM
fcis-12974	106	59	.	.	PUNCT
fcis-12974	107	1	the	the	DET
fcis-12974	107	2	marked	mark	VERB
fcis-12974	107	3	data	datum	NOUN
fcis-12974	107	4	is	be	AUX
fcis-12974	107	5	shown	show	VERB
fcis-12974	107	6	in	in	ADP
fcis-12974	107	7	figure	figure	NOUN
fcis-12974	107	8	4	4	NUM
fcis-12974	107	9	:	:	PUNCT
fcis-12974	107	10	figure	figure	NOUN
fcis-12974	107	11	4	4	NUM
fcis-12974	107	12	.	.	PUNCT
fcis-12974	108	1	behavior	behavior	NOUN
fcis-12974	108	2	marker	marker	NOUN
fcis-12974	108	3	graph	graph	NOUN
fcis-12974	108	4	if	if	SCONJ
fcis-12974	108	5	we	we	PRON
fcis-12974	108	6	start	start	VERB
fcis-12974	108	7	training	train	VERB
fcis-12974	108	8	the	the	DET
fcis-12974	108	9	data	datum	NOUN
fcis-12974	108	10	at	at	ADP
fcis-12974	108	11	this	this	DET
fcis-12974	108	12	point	point	NOUN
fcis-12974	108	13	,	,	PUNCT
fcis-12974	108	14	it	it	PRON
fcis-12974	108	15	is	be	AUX
fcis-12974	108	16	clear	clear	ADJ
fcis-12974	108	17	that	that	SCONJ
fcis-12974	108	18	the	the	DET
fcis-12974	108	19	data	datum	NOUN
fcis-12974	108	20	has	have	VERB
fcis-12974	108	21	too	too	ADV
fcis-12974	108	22	few	few	ADJ
fcis-12974	108	23	feature	feature	NOUN
fcis-12974	108	24	points	point	NOUN
fcis-12974	108	25	,	,	PUNCT
fcis-12974	108	26	and	and	CCONJ
fcis-12974	108	27	we	we	PRON
fcis-12974	108	28	need	need	VERB
fcis-12974	108	29	to	to	PART
fcis-12974	108	30	build	build	VERB
fcis-12974	108	31	a	a	DET
fcis-12974	108	32	feature	feature	NOUN
fcis-12974	108	33	project	project	NOUN
fcis-12974	108	34	for	for	ADP
fcis-12974	108	35	this	this	DET
fcis-12974	108	36	data	datum	NOUN
fcis-12974	108	37	.	.	PUNCT
fcis-12974	109	1	taking	take	VERB
fcis-12974	109	2	the	the	DET
fcis-12974	109	3	data	datum	NOUN
fcis-12974	109	4	in	in	ADP
fcis-12974	109	5	this	this	DET
fcis-12974	109	6	study	study	NOUN
fcis-12974	109	7	as	as	ADP
fcis-12974	109	8	an	an	DET
fcis-12974	109	9	example	example	NOUN
fcis-12974	109	10	,	,	PUNCT
fcis-12974	109	11	the	the	DET
fcis-12974	109	12	basic	basic	ADJ
fcis-12974	109	13	features	feature	NOUN
fcis-12974	109	14	include	include	VERB
fcis-12974	109	15	the	the	DET
fcis-12974	109	16	i	i	PROPN
fcis-12974	109	17	d	d	PROPN
fcis-12974	109	18	of	of	ADP
fcis-12974	109	19	the	the	DET
fcis-12974	109	20	consumer	consumer	NOUN
fcis-12974	109	21	,	,	PUNCT
fcis-12974	109	22	the	the	DET
fcis-12974	109	23	i	i	PROPN
fcis-12974	109	24	d	d	PROPN
fcis-12974	109	25	of	of	ADP
fcis-12974	109	26	the	the	DET
fcis-12974	109	27	product	product	NOUN
fcis-12974	109	28	category	category	NOUN
fcis-12974	109	29	,	,	PUNCT
fcis-12974	109	30	the	the	DET
fcis-12974	109	31	i	i	PROPN
fcis-12974	109	32	d	d	PROPN
fcis-12974	109	33	of	of	ADP
fcis-12974	109	34	the	the	DET
fcis-12974	109	35	product	product	NOUN
fcis-12974	109	36	,	,	PUNCT
fcis-12974	109	37	the	the	DET
fcis-12974	109	38	category	category	NOUN
fcis-12974	109	39	of	of	ADP
fcis-12974	109	40	the	the	DET
fcis-12974	109	41	behavior	behavior	NOUN
fcis-12974	109	42	,	,	PUNCT
fcis-12974	109	43	and	and	CCONJ
fcis-12974	109	44	the	the	DET
fcis-12974	109	45	timestamp	timestamp	NOUN
fcis-12974	109	46	of	of	ADP
fcis-12974	109	47	the	the	DET
fcis-12974	109	48	behavior	behavior	NOUN
fcis-12974	109	49	.	.	PUNCT
fcis-12974	110	1	the	the	DET
fcis-12974	110	2	goal	goal	NOUN
fcis-12974	110	3	of	of	ADP
fcis-12974	110	4	the	the	DET
fcis-12974	110	5	study	study	NOUN
fcis-12974	110	6	is	be	AUX
fcis-12974	110	7	to	to	PART
fcis-12974	110	8	predict	predict	VERB
fcis-12974	110	9	whether	whether	SCONJ
fcis-12974	110	10	a	a	DET
fcis-12974	110	11	consumer	consumer	NOUN
fcis-12974	110	12	will	will	AUX
fcis-12974	110	13	buy	buy	VERB
fcis-12974	110	14	a	a	DET
fcis-12974	110	15	certain	certain	ADJ
fcis-12974	110	16	product	product	NOUN
fcis-12974	110	17	,	,	PUNCT
fcis-12974	110	18	so	so	CCONJ
fcis-12974	110	19	it	it	PRON
fcis-12974	110	20	is	be	AUX
fcis-12974	110	21	necessary	necessary	ADJ
fcis-12974	110	22	to	to	PART
fcis-12974	110	23	analyze	analyze	VERB
fcis-12974	110	24	which	which	DET
fcis-12974	110	25	characteristics	characteristic	NOUN
fcis-12974	110	26	will	will	AUX
fcis-12974	110	27	affect	affect	VERB
fcis-12974	110	28	the	the	DET
fcis-12974	110	29	probability	probability	NOUN
fcis-12974	110	30	of	of	ADP
fcis-12974	110	31	a	a	DET
fcis-12974	110	32	consumer	consumer	NOUN
fcis-12974	110	33	's	's	PART
fcis-12974	110	34	purchase	purchase	NOUN
fcis-12974	110	35	.	.	PUNCT
fcis-12974	111	1	in	in	ADP
fcis-12974	111	2	order	order	NOUN
fcis-12974	111	3	to	to	PART
fcis-12974	111	4	achieve	achieve	VERB
fcis-12974	111	5	this	this	DET
fcis-12974	111	6	goal	goal	NOUN
fcis-12974	111	7	,	,	PUNCT
fcis-12974	111	8	the	the	DET
fcis-12974	111	9	study	study	NOUN
fcis-12974	111	10	summarized	summarize	VERB
fcis-12974	111	11	the	the	DET
fcis-12974	111	12	degree	degree	NOUN
fcis-12974	111	13	of	of	ADP
fcis-12974	111	14	influence	influence	NOUN
fcis-12974	111	15	of	of	ADP
fcis-12974	111	16	different	different	ADJ
fcis-12974	111	17	characteristics	characteristic	NOUN
fcis-12974	111	18	on	on	ADP
fcis-12974	111	19	purchasing	purchase	VERB
fcis-12974	111	20	behavior	behavior	NOUN
fcis-12974	111	21	by	by	ADP
fcis-12974	111	22	analyzing	analyze	VERB
fcis-12974	111	23	the	the	DET
fcis-12974	111	24	influence	influence	NOUN
fcis-12974	111	25	of	of	ADP
fcis-12974	111	26	various	various	ADJ
fcis-12974	111	27	characteristics	characteristic	NOUN
fcis-12974	111	28	.	.	PUNCT
fcis-12974	112	1	finally	finally	ADV
fcis-12974	112	2	,	,	PUNCT
fcis-12974	112	3	the	the	DET
fcis-12974	112	4	research	research	NOUN
fcis-12974	112	5	decides	decide	VERB
fcis-12974	112	6	to	to	PART
fcis-12974	112	7	carry	carry	VERB
fcis-12974	112	8	out	out	ADP
fcis-12974	112	9	feature	feature	NOUN
fcis-12974	112	10	statistics	statistic	NOUN
fcis-12974	112	11	and	and	CCONJ
fcis-12974	112	12	extraction	extraction	NOUN
fcis-12974	112	13	from	from	ADP
fcis-12974	112	14	three	three	NUM
fcis-12974	112	15	aspects	aspect	NOUN
fcis-12974	112	16	,	,	PUNCT
fcis-12974	112	17	which	which	PRON
fcis-12974	112	18	are	be	AUX
fcis-12974	112	19	consumer	consumer	NOUN
fcis-12974	112	20	characteristics	characteristic	NOUN
fcis-12974	112	21	,	,	PUNCT
fcis-12974	112	22	commodity	commodity	NOUN
fcis-12974	112	23	characteristics	characteristic	NOUN
fcis-12974	112	24	and	and	CCONJ
fcis-12974	112	25	interaction	interaction	NOUN
fcis-12974	112	26	characteristics	characteristic	NOUN
fcis-12974	112	27	.	.	PUNCT
fcis-12974	113	1	in	in	ADP
fcis-12974	113	2	order	order	NOUN
fcis-12974	113	3	to	to	PART
fcis-12974	113	4	better	well	ADV
fcis-12974	113	5	understand	understand	VERB
fcis-12974	113	6	consumer	consumer	NOUN
fcis-12974	113	7	behavior	behavior	NOUN
fcis-12974	113	8	patterns	pattern	NOUN
fcis-12974	113	9	,	,	PUNCT
fcis-12974	113	10	the	the	DET
fcis-12974	113	11	study	study	NOUN
fcis-12974	113	12	conducted	conduct	VERB
fcis-12974	113	13	a	a	DET
fcis-12974	113	14	secondary	secondary	ADJ
fcis-12974	113	15	treatment	treatment	NOUN
fcis-12974	113	16	of	of	ADP
fcis-12974	113	17	consumer	consumer	NOUN
fcis-12974	113	18	behavior	behavior	NOUN
fcis-12974	113	19	according	accord	VERB
fcis-12974	113	20	to	to	ADP
fcis-12974	113	21	different	different	ADJ
fcis-12974	113	22	time	time	NOUN
fcis-12974	113	23	spans	spans	PROPN
fcis-12974	113	24	.	.	PUNCT
fcis-12974	114	1	this	this	PRON
fcis-12974	114	2	means	mean	VERB
fcis-12974	114	3	that	that	SCONJ
fcis-12974	114	4	the	the	DET
fcis-12974	114	5	study	study	NOUN
fcis-12974	114	6	considers	consider	VERB
fcis-12974	114	7	consumer	consumer	NOUN
fcis-12974	114	8	behavior	behavior	NOUN
fcis-12974	114	9	over	over	ADP
fcis-12974	114	10	different	different	ADJ
fcis-12974	114	11	time	time	NOUN
fcis-12974	114	12	periods	period	NOUN
fcis-12974	114	13	to	to	PART
fcis-12974	114	14	obtain	obtain	VERB
fcis-12974	114	15	data	datum	NOUN
fcis-12974	114	16	related	relate	VERB
fcis-12974	114	17	to	to	ADP
fcis-12974	114	18	the	the	DET
fcis-12974	114	19	time	time	NOUN
fcis-12974	114	20	interval	interval	NOUN
fcis-12974	114	21	.	.	PUNCT
fcis-12974	115	1	this	this	DET
fcis-12974	115	2	operation	operation	NOUN
fcis-12974	115	3	not	not	PART
fcis-12974	115	4	only	only	ADV
fcis-12974	115	5	increases	increase	VERB
fcis-12974	115	6	the	the	DET
fcis-12974	115	7	dimension	dimension	NOUN
fcis-12974	115	8	of	of	ADP
fcis-12974	115	9	features	feature	NOUN
fcis-12974	115	10	,	,	PUNCT
fcis-12974	115	11	but	but	CCONJ
fcis-12974	115	12	also	also	ADV
fcis-12974	115	13	increases	increase	VERB
fcis-12974	115	14	the	the	DET
fcis-12974	115	15	complexity	complexity	NOUN
fcis-12974	115	16	of	of	ADP
fcis-12974	115	17	data	datum	NOUN
fcis-12974	115	18	processing	processing	NOUN
fcis-12974	115	19	.	.	PUNCT
fcis-12974	116	1	consumer	consumer	NOUN
fcis-12974	116	2	characteristics	characteristic	NOUN
fcis-12974	116	3	are	be	AUX
fcis-12974	116	4	the	the	DET
fcis-12974	116	5	description	description	NOUN
fcis-12974	116	6	of	of	ADP
fcis-12974	116	7	consumers	consumer	NOUN
fcis-12974	116	8	'	'	PART
fcis-12974	116	9	behavior	behavior	NOUN
fcis-12974	116	10	patterns	pattern	NOUN
fcis-12974	116	11	for	for	ADP
fcis-12974	116	12	commodities	commodity	NOUN
fcis-12974	116	13	,	,	PUNCT
fcis-12974	116	14	so	so	SCONJ
fcis-12974	116	15	as	as	SCONJ
fcis-12974	116	16	to	to	PART
fcis-12974	116	17	capture	capture	VERB
fcis-12974	116	18	consumers	consumer	NOUN
fcis-12974	116	19	'	'	PART
fcis-12974	116	20	personalized	personalized	ADJ
fcis-12974	116	21	behavior	behavior	NOUN
fcis-12974	116	22	rules	rule	NOUN
fcis-12974	116	23	and	and	CCONJ
fcis-12974	116	24	thus	thus	ADV
fcis-12974	116	25	reveal	reveal	VERB
fcis-12974	116	26	individual	individual	ADJ
fcis-12974	116	27	characteristics	characteristic	NOUN
fcis-12974	116	28	.	.	PUNCT
fcis-12974	117	1	this	this	DET
fcis-12974	117	2	paper	paper	NOUN
fcis-12974	117	3	mainly	mainly	ADV
fcis-12974	117	4	statistics	statistic	VERB
fcis-12974	117	5	consumers	consumer	NOUN
fcis-12974	117	6	'	'	PART
fcis-12974	117	7	behavior	behavior	NOUN
fcis-12974	117	8	information	information	NOUN
fcis-12974	117	9	characteristics	characteristic	NOUN
fcis-12974	117	10	.	.	PUNCT
fcis-12974	118	1	product	product	NOUN
fcis-12974	118	2	characteristics	characteristic	NOUN
fcis-12974	118	3	study	study	VERB
fcis-12974	118	4	the	the	DET
fcis-12974	118	5	influence	influence	NOUN
fcis-12974	118	6	of	of	ADP
fcis-12974	118	7	product	product	NOUN
fcis-12974	118	8	characteristics	characteristic	NOUN
fcis-12974	118	9	on	on	ADP
fcis-12974	118	10	consumer	consumer	NOUN
fcis-12974	118	11	behavior	behavior	NOUN
fcis-12974	118	12	from	from	ADP
fcis-12974	118	13	the	the	DET
fcis-12974	118	14	perspective	perspective	NOUN
fcis-12974	118	15	of	of	ADP
fcis-12974	118	16	product	product	NOUN
fcis-12974	118	17	,	,	PUNCT
fcis-12974	118	18	and	and	CCONJ
fcis-12974	118	19	understand	understand	VERB
fcis-12974	118	20	the	the	DET
fcis-12974	118	21	popularity	popularity	NOUN
fcis-12974	118	22	of	of	ADP
fcis-12974	118	23	the	the	DET
fcis-12974	118	24	product	product	NOUN
fcis-12974	118	25	in	in	ADP
fcis-12974	118	26	the	the	DET
fcis-12974	118	27	same	same	ADJ
fcis-12974	118	28	period	period	NOUN
fcis-12974	118	29	from	from	ADP
fcis-12974	118	30	the	the	DET
fcis-12974	118	31	behavior	behavior	NOUN
fcis-12974	118	32	of	of	ADP
fcis-12974	118	33	the	the	DET
fcis-12974	118	34	product	product	NOUN
fcis-12974	118	35	being	be	AUX
fcis-12974	118	36	clicked	click	VERB
fcis-12974	118	37	,	,	PUNCT
fcis-12974	118	38	liked	like	VERB
fcis-12974	118	39	,	,	PUNCT
fcis-12974	118	40	added	add	VERB
fcis-12974	118	41	to	to	ADP
fcis-12974	118	42	the	the	DET
fcis-12974	118	43	shopping	shopping	NOUN
fcis-12974	118	44	cart	cart	NOUN
fcis-12974	118	45	and	and	CCONJ
fcis-12974	118	46	liked	like	VERB
fcis-12974	118	47	,	,	PUNCT
fcis-12974	118	48	so	so	SCONJ
fcis-12974	118	49	as	as	SCONJ
fcis-12974	118	50	to	to	PART
fcis-12974	118	51	reflect	reflect	VERB
fcis-12974	118	52	the	the	DET
fcis-12974	118	53	degree	degree	NOUN
fcis-12974	118	54	of	of	ADP
fcis-12974	118	55	favor	favor	NOUN
fcis-12974	118	56	and	and	CCONJ
fcis-12974	118	57	popularity	popularity	NOUN
fcis-12974	118	58	of	of	ADP
fcis-12974	118	59	the	the	DET
fcis-12974	118	60	product	product	NOUN
fcis-12974	118	61	among	among	ADP
fcis-12974	118	62	similar	similar	ADJ
fcis-12974	118	63	consumers	consumer	NOUN
fcis-12974	118	64	.	.	PUNCT
fcis-12974	119	1	88	88	NUM
fcis-12974	119	2	this	this	DET
fcis-12974	119	3	paper	paper	NOUN
fcis-12974	119	4	mainly	mainly	ADV
fcis-12974	119	5	calculates	calculate	VERB
fcis-12974	119	6	the	the	DET
fcis-12974	119	7	conversion	conversion	NOUN
fcis-12974	119	8	rate	rate	NOUN
fcis-12974	119	9	of	of	ADP
fcis-12974	119	10	the	the	DET
fcis-12974	119	11	product	product	NOUN
fcis-12974	119	12	from	from	ADP
fcis-12974	119	13	non	non	ADJ
fcis-12974	119	14	-	-	ADJ
fcis-12974	119	15	purchase	purchase	ADJ
fcis-12974	119	16	behavior	behavior	NOUN
fcis-12974	119	17	to	to	PART
fcis-12974	119	18	purchase	purchase	VERB
fcis-12974	119	19	behavior	behavior	NOUN
fcis-12974	119	20	.	.	PUNCT
fcis-12974	120	1	interactive	interactive	ADJ
fcis-12974	120	2	characteristics	characteristic	NOUN
fcis-12974	120	3	refer	refer	VERB
fcis-12974	120	4	to	to	ADP
fcis-12974	120	5	the	the	DET
fcis-12974	120	6	various	various	ADJ
fcis-12974	120	7	behaviors	behavior	NOUN
fcis-12974	120	8	of	of	ADP
fcis-12974	120	9	consumers	consumer	NOUN
fcis-12974	120	10	for	for	ADP
fcis-12974	120	11	a	a	DET
fcis-12974	120	12	particular	particular	ADJ
fcis-12974	120	13	product	product	NOUN
fcis-12974	120	14	.	.	PUNCT
fcis-12974	121	1	this	this	DET
fcis-12974	121	2	paper	paper	NOUN
fcis-12974	121	3	analyzes	analyze	VERB
fcis-12974	121	4	the	the	DET
fcis-12974	121	5	conversion	conversion	NOUN
fcis-12974	121	6	rate	rate	NOUN
fcis-12974	121	7	of	of	ADP
fcis-12974	121	8	consumers	consumer	NOUN
fcis-12974	121	9	'	'	PART
fcis-12974	121	10	purchase	purchase	NOUN
fcis-12974	121	11	with	with	ADP
fcis-12974	121	12	various	various	ADJ
fcis-12974	121	13	time	time	NOUN
fcis-12974	121	14	intervals	interval	NOUN
fcis-12974	121	15	.	.	PUNCT
fcis-12974	122	1	after	after	ADP
fcis-12974	122	2	establishing	establish	VERB
fcis-12974	122	3	the	the	DET
fcis-12974	122	4	feature	feature	NOUN
fcis-12974	122	5	process	process	NOUN
fcis-12974	122	6	,	,	PUNCT
fcis-12974	122	7	part	part	NOUN
fcis-12974	122	8	of	of	ADP
fcis-12974	122	9	the	the	DET
fcis-12974	122	10	results	result	NOUN
fcis-12974	122	11	after	after	SCONJ
fcis-12974	122	12	data	data	NOUN
fcis-12974	122	13	processing	processing	NOUN
fcis-12974	122	14	are	be	AUX
fcis-12974	122	15	shown	show	VERB
fcis-12974	122	16	in	in	ADP
fcis-12974	122	17	figure	figure	NOUN
fcis-12974	122	18	5	5	NUM
fcis-12974	122	19	:	:	PUNCT
fcis-12974	122	20	figure	figure	NOUN
fcis-12974	122	21	5	5	NUM
fcis-12974	122	22	.	.	PUNCT
fcis-12974	122	23	feature	feature	NOUN
fcis-12974	122	24	engineering	engineering	NOUN
fcis-12974	122	25	coding	code	VERB
fcis-12974	122	26	map	map	NOUN
fcis-12974	122	27	next	next	ADV
fcis-12974	122	28	,	,	PUNCT
fcis-12974	122	29	we	we	PRON
fcis-12974	122	30	need	need	VERB
fcis-12974	122	31	to	to	PART
fcis-12974	122	32	deal	deal	VERB
fcis-12974	122	33	with	with	ADP
fcis-12974	122	34	the	the	DET
fcis-12974	122	35	problem	problem	NOUN
fcis-12974	122	36	mentioned	mention	VERB
fcis-12974	122	37	above	above	ADV
fcis-12974	122	38	,	,	PUNCT
fcis-12974	122	39	that	that	ADV
fcis-12974	122	40	is	is	ADV
fcis-12974	122	41	,	,	PUNCT
fcis-12974	122	42	the	the	DET
fcis-12974	122	43	serious	serious	ADJ
fcis-12974	122	44	imbalance	imbalance	NOUN
fcis-12974	122	45	in	in	ADP
fcis-12974	122	46	the	the	DET
fcis-12974	122	47	proportion	proportion	NOUN
fcis-12974	122	48	of	of	ADP
fcis-12974	122	49	positive	positive	ADJ
fcis-12974	122	50	and	and	CCONJ
fcis-12974	122	51	negative	negative	ADJ
fcis-12974	122	52	samples	sample	NOUN
fcis-12974	122	53	.	.	PUNCT
fcis-12974	123	1	although	although	SCONJ
fcis-12974	123	2	we	we	PRON
fcis-12974	123	3	have	have	AUX
fcis-12974	123	4	deleted	delete	VERB
fcis-12974	123	5	some	some	DET
fcis-12974	123	6	special	special	ADJ
fcis-12974	123	7	data	datum	NOUN
fcis-12974	123	8	in	in	ADP
fcis-12974	123	9	the	the	DET
fcis-12974	123	10	above	above	NOUN
fcis-12974	123	11	,	,	PUNCT
fcis-12974	123	12	the	the	DET
fcis-12974	123	13	amount	amount	NOUN
fcis-12974	123	14	of	of	ADP
fcis-12974	123	15	positive	positive	ADJ
fcis-12974	123	16	and	and	CCONJ
fcis-12974	123	17	negative	negative	ADJ
fcis-12974	123	18	samples	sample	NOUN
fcis-12974	123	19	is	be	AUX
fcis-12974	123	20	still	still	ADV
fcis-12974	123	21	unbalanced	unbalanced	ADJ
fcis-12974	123	22	.	.	PUNCT
fcis-12974	124	1	after	after	ADP
fcis-12974	124	2	statistics	statistic	NOUN
fcis-12974	124	3	,	,	PUNCT
fcis-12974	124	4	it	it	PRON
fcis-12974	124	5	is	be	AUX
fcis-12974	124	6	found	find	VERB
fcis-12974	124	7	that	that	SCONJ
fcis-12974	124	8	the	the	DET
fcis-12974	124	9	number	number	NOUN
fcis-12974	124	10	of	of	ADP
fcis-12974	124	11	positive	positive	ADJ
fcis-12974	124	12	samples	sample	NOUN
fcis-12974	124	13	is	be	AUX
fcis-12974	124	14	about	about	ADV
fcis-12974	124	15	12,459	12,459	NUM
fcis-12974	124	16	,	,	PUNCT
fcis-12974	124	17	and	and	CCONJ
fcis-12974	124	18	the	the	DET
fcis-12974	124	19	number	number	NOUN
fcis-12974	124	20	of	of	ADP
fcis-12974	124	21	negative	negative	ADJ
fcis-12974	124	22	samples	sample	NOUN
fcis-12974	124	23	is	be	AUX
fcis-12974	124	24	about	about	ADV
fcis-12974	124	25	26,381	26,381	NUM
fcis-12974	124	26	.	.	PUNCT
fcis-12974	125	1	smote	smote	PROPN
fcis-12974	125	2	was	be	AUX
fcis-12974	125	3	oversampling	oversample	VERB
fcis-12974	125	4	in	in	ADP
fcis-12974	125	5	this	this	DET
fcis-12974	125	6	paper	paper	NOUN
fcis-12974	125	7	,	,	PUNCT
fcis-12974	125	8	and	and	CCONJ
fcis-12974	125	9	after	after	ADP
fcis-12974	125	10	this	this	DET
fcis-12974	125	11	step	step	NOUN
fcis-12974	125	12	,	,	PUNCT
fcis-12974	125	13	the	the	DET
fcis-12974	125	14	number	number	NOUN
fcis-12974	125	15	of	of	ADP
fcis-12974	125	16	positive	positive	ADJ
fcis-12974	125	17	and	and	CCONJ
fcis-12974	125	18	negative	negative	ADJ
fcis-12974	125	19	samples	sample	NOUN
fcis-12974	125	20	reached	reach	VERB
fcis-12974	125	21	26,381	26,381	NUM
fcis-12974	125	22	.	.	PUNCT
fcis-12974	126	1	the	the	DET
fcis-12974	126	2	preprocessed	preprocesse	VERB
fcis-12974	126	3	data	datum	NOUN
fcis-12974	126	4	set	set	VERB
fcis-12974	126	5	is	be	AUX
fcis-12974	126	6	put	put	VERB
fcis-12974	126	7	into	into	ADP
fcis-12974	126	8	the	the	DET
fcis-12974	126	9	prediction	prediction	NOUN
fcis-12974	126	10	model	model	NOUN
fcis-12974	126	11	for	for	ADP
fcis-12974	126	12	the	the	DET
fcis-12974	126	13	experiment	experiment	NOUN
fcis-12974	126	14	.	.	PUNCT
fcis-12974	127	1	before	before	ADP
fcis-12974	127	2	the	the	DET
fcis-12974	127	3	experiment	experiment	NOUN
fcis-12974	127	4	,	,	PUNCT
fcis-12974	127	5	the	the	DET
fcis-12974	127	6	model	model	NOUN
fcis-12974	127	7	evaluation	evaluation	NOUN
fcis-12974	127	8	index	index	NOUN
fcis-12974	127	9	used	use	VERB
fcis-12974	127	10	in	in	ADP
fcis-12974	127	11	this	this	DET
fcis-12974	127	12	paper	paper	NOUN
fcis-12974	127	13	needs	need	VERB
fcis-12974	127	14	to	to	PART
fcis-12974	127	15	be	be	AUX
fcis-12974	127	16	introduced	introduce	VERB
fcis-12974	127	17	.	.	PUNCT
fcis-12974	128	1	since	since	SCONJ
fcis-12974	128	2	the	the	DET
fcis-12974	128	3	problem	problem	NOUN
fcis-12974	128	4	studied	study	VERB
fcis-12974	128	5	in	in	ADP
fcis-12974	128	6	this	this	DET
fcis-12974	128	7	paper	paper	NOUN
fcis-12974	128	8	is	be	AUX
fcis-12974	128	9	a	a	DET
fcis-12974	128	10	binary	binary	ADJ
fcis-12974	128	11	classification	classification	NOUN
fcis-12974	128	12	problem	problem	NOUN
fcis-12974	128	13	,	,	PUNCT
fcis-12974	128	14	in	in	SCONJ
fcis-12974	128	15	order	order	NOUN
fcis-12974	128	16	to	to	PART
fcis-12974	128	17	better	well	ADV
fcis-12974	128	18	describe	describe	VERB
fcis-12974	128	19	the	the	DET
fcis-12974	128	20	classification	classification	NOUN
fcis-12974	128	21	effect	effect	NOUN
fcis-12974	128	22	of	of	ADP
fcis-12974	128	23	the	the	DET
fcis-12974	128	24	model	model	NOUN
fcis-12974	128	25	,	,	PUNCT
fcis-12974	128	26	confusion	confusion	NOUN
fcis-12974	128	27	matrix	matrix	NOUN
fcis-12974	128	28	and	and	CCONJ
fcis-12974	128	29	roc	roc	PROPN
fcis-12974	128	30	curve	curve	NOUN
fcis-12974	128	31	will	will	AUX
fcis-12974	128	32	be	be	AUX
fcis-12974	128	33	used	use	VERB
fcis-12974	128	34	to	to	PART
fcis-12974	128	35	describe	describe	VERB
fcis-12974	128	36	the	the	DET
fcis-12974	128	37	classification	classification	NOUN
fcis-12974	128	38	results	result	NOUN
fcis-12974	128	39	in	in	ADP
fcis-12974	128	40	the	the	DET
fcis-12974	128	41	analysis	analysis	NOUN
fcis-12974	128	42	,	,	PUNCT
fcis-12974	128	43	so	so	SCONJ
fcis-12974	128	44	as	as	SCONJ
fcis-12974	128	45	to	to	PART
fcis-12974	128	46	evaluate	evaluate	VERB
fcis-12974	128	47	the	the	DET
fcis-12974	128	48	accuracy	accuracy	NOUN
fcis-12974	128	49	and	and	CCONJ
fcis-12974	128	50	other	other	ADJ
fcis-12974	128	51	classification	classification	NOUN
fcis-12974	128	52	effects	effect	NOUN
fcis-12974	128	53	of	of	ADP
fcis-12974	128	54	the	the	DET
fcis-12974	128	55	model	model	NOUN
fcis-12974	128	56	.	.	PUNCT
fcis-12974	129	1	through	through	ADP
fcis-12974	129	2	the	the	DET
fcis-12974	129	3	confusion	confusion	NOUN
fcis-12974	129	4	matrix	matrix	NOUN
fcis-12974	129	5	,	,	PUNCT
fcis-12974	129	6	this	this	DET
fcis-12974	129	7	paper	paper	NOUN
fcis-12974	129	8	needs	need	VERB
fcis-12974	129	9	to	to	PART
fcis-12974	129	10	calculate	calculate	VERB
fcis-12974	129	11	its	its	PRON
fcis-12974	129	12	secondary	secondary	ADJ
fcis-12974	129	13	indexes	index	NOUN
fcis-12974	129	14	accuracy	accuracy	NOUN
fcis-12974	129	15	,	,	PUNCT
fcis-12974	129	16	precision	precision	NOUN
fcis-12974	129	17	and	and	CCONJ
fcis-12974	129	18	recall	recall	NOUN
fcis-12974	129	19	,	,	PUNCT
fcis-12974	129	20	tertiary	tertiary	ADJ
fcis-12974	129	21	indexes	index	NOUN
fcis-12974	129	22	f1	f1	NOUN
fcis-12974	129	23	and	and	CCONJ
fcis-12974	129	24	roc	roc	PROPN
fcis-12974	129	25	curve	curve	NOUN
fcis-12974	129	26	area	area	NOUN
fcis-12974	129	27	auc	auc	NOUN
fcis-12974	129	28	.	.	PUNCT
fcis-12974	130	1	after	after	ADP
fcis-12974	130	2	model	model	NOUN
fcis-12974	130	3	training	training	NOUN
fcis-12974	130	4	,	,	PUNCT
fcis-12974	130	5	the	the	DET
fcis-12974	130	6	results	result	NOUN
fcis-12974	130	7	of	of	ADP
fcis-12974	130	8	secondary	secondary	ADJ
fcis-12974	130	9	indexes	index	NOUN
fcis-12974	130	10	are	be	AUX
fcis-12974	130	11	shown	show	VERB
fcis-12974	130	12	in	in	ADP
fcis-12974	130	13	figure	figure	NOUN
fcis-12974	130	14	6	6	NUM
fcis-12974	130	15	,	,	PUNCT
fcis-12974	130	16	and	and	CCONJ
fcis-12974	130	17	the	the	DET
fcis-12974	130	18	roc	roc	PROPN
fcis-12974	130	19	curve	curve	NOUN
fcis-12974	130	20	is	be	AUX
fcis-12974	130	21	shown	show	VERB
fcis-12974	130	22	in	in	ADP
fcis-12974	130	23	figure	figure	NOUN
fcis-12974	130	24	7	7	NUM
fcis-12974	130	25	.	.	PUNCT
fcis-12974	130	26	figure	figure	NOUN
fcis-12974	130	27	6	6	NUM
fcis-12974	130	28	.	.	PUNCT
fcis-12974	130	29	secondary	secondary	ADJ
fcis-12974	130	30	index	index	NOUN
fcis-12974	130	31	figure	figure	NOUN
fcis-12974	130	32	7	7	NUM
fcis-12974	130	33	.	.	PUNCT
fcis-12974	130	34	roc	roc	PROPN
fcis-12974	130	35	curve	curve	NOUN
fcis-12974	130	36	it	it	PRON
fcis-12974	130	37	is	be	AUX
fcis-12974	130	38	not	not	PART
fcis-12974	130	39	difficult	difficult	ADJ
fcis-12974	130	40	to	to	PART
fcis-12974	130	41	see	see	VERB
fcis-12974	130	42	from	from	ADP
fcis-12974	130	43	fig	fig	NOUN
fcis-12974	130	44	.	.	PUNCT
fcis-12974	131	1	6	6	NUM
fcis-12974	131	2	and	and	CCONJ
fcis-12974	131	3	fig	fig	NOUN
fcis-12974	131	4	.	.	PUNCT
fcis-12974	132	1	7	7	NUM
fcis-12974	133	1	that	that	SCONJ
fcis-12974	133	2	the	the	DET
fcis-12974	133	3	prediction	prediction	NOUN
fcis-12974	133	4	result	result	NOUN
fcis-12974	133	5	of	of	ADP
fcis-12974	133	6	the	the	DET
fcis-12974	133	7	model	model	NOUN
fcis-12974	133	8	is	be	AUX
fcis-12974	133	9	not	not	PART
fcis-12974	133	10	good	good	ADJ
fcis-12974	133	11	,	,	PUNCT
fcis-12974	133	12	but	but	CCONJ
fcis-12974	133	13	the	the	DET
fcis-12974	133	14	accuracy	accuracy	NOUN
fcis-12974	133	15	of	of	ADP
fcis-12974	133	16	the	the	DET
fcis-12974	133	17	prediction	prediction	NOUN
fcis-12974	133	18	is	be	AUX
fcis-12974	133	19	a	a	DET
fcis-12974	133	20	little	little	ADV
fcis-12974	133	21	higher	high	ADJ
fcis-12974	133	22	than	than	ADP
fcis-12974	133	23	that	that	PRON
fcis-12974	133	24	of	of	ADP
fcis-12974	133	25	the	the	DET
fcis-12974	133	26	random	random	ADJ
fcis-12974	133	27	model	model	NOUN
fcis-12974	133	28	.	.	PUNCT
fcis-12974	134	1	as	as	SCONJ
fcis-12974	134	2	mentioned	mention	VERB
fcis-12974	134	3	above	above	ADV
fcis-12974	134	4	,	,	PUNCT
fcis-12974	134	5	when	when	SCONJ
fcis-12974	134	6	the	the	DET
fcis-12974	134	7	sequence	sequence	NOUN
fcis-12974	134	8	length	length	NOUN
fcis-12974	134	9	is	be	AUX
fcis-12974	134	10	10	10	NUM
fcis-12974	134	11	,	,	PUNCT
fcis-12974	134	12	the	the	DET
fcis-12974	134	13	auc	auc	NOUN
fcis-12974	134	14	value	value	NOUN
fcis-12974	134	15	is	be	AUX
fcis-12974	134	16	0.59	0.59	NUM
fcis-12974	134	17	.	.	PUNCT
fcis-12974	135	1	starting	start	VERB
fcis-12974	135	2	from	from	ADP
fcis-12974	135	3	just	just	ADV
fcis-12974	135	4	below	below	ADP
fcis-12974	135	5	10	10	NUM
fcis-12974	135	6	(	(	PUNCT
fcis-12974	135	7	say	say	INTJ
fcis-12974	135	8	,	,	PUNCT
fcis-12974	135	9	7	7	NUM
fcis-12974	135	10	)	)	PUNCT
fcis-12974	135	11	and	and	CCONJ
fcis-12974	135	12	increasing	increase	VERB
fcis-12974	135	13	the	the	DET
fcis-12974	135	14	length	length	NOUN
fcis-12974	135	15	of	of	ADP
fcis-12974	135	16	the	the	DET
fcis-12974	135	17	consumer	consumer	NOUN
fcis-12974	135	18	behavior	behavior	NOUN
fcis-12974	135	19	sequence	sequence	NOUN
fcis-12974	135	20	,	,	PUNCT
fcis-12974	135	21	we	we	PRON
fcis-12974	135	22	can	can	AUX
fcis-12974	135	23	find	find	VERB
fcis-12974	135	24	the	the	DET
fcis-12974	135	25	maximum	maximum	ADJ
fcis-12974	135	26	auc	auc	NOUN
fcis-12974	135	27	value	value	NOUN
fcis-12974	135	28	.	.	PUNCT
fcis-12974	136	1	in	in	ADP
fcis-12974	136	2	this	this	DET
fcis-12974	136	3	paper	paper	NOUN
fcis-12974	136	4	,	,	PUNCT
fcis-12974	136	5	the	the	DET
fcis-12974	136	6	consumer	consumer	NOUN
fcis-12974	136	7	behavior	behavior	NOUN
fcis-12974	136	8	sequence	sequence	NOUN
fcis-12974	136	9	value	value	NOUN
fcis-12974	136	10	was	be	AUX
fcis-12974	136	11	set	set	VERB
fcis-12974	136	12	from	from	ADP
fcis-12974	136	13	7	7	NUM
fcis-12974	136	14	to	to	ADP
fcis-12974	136	15	30	30	NUM
fcis-12974	136	16	,	,	PUNCT
fcis-12974	136	17	and	and	CCONJ
fcis-12974	136	18	after	after	ADP
fcis-12974	136	19	a	a	DET
fcis-12974	136	20	series	series	NOUN
fcis-12974	136	21	of	of	ADP
fcis-12974	136	22	uninterrupted	uninterrupted	ADJ
fcis-12974	136	23	experiments	experiment	NOUN
fcis-12974	136	24	,	,	PUNCT
fcis-12974	136	25	all	all	DET
fcis-12974	136	26	secondary	secondary	ADJ
fcis-12974	136	27	and	and	CCONJ
fcis-12974	136	28	tertiary	tertiary	ADJ
fcis-12974	136	29	indicators	indicator	NOUN
fcis-12974	136	30	and	and	CCONJ
fcis-12974	136	31	roc	roc	PROPN
fcis-12974	136	32	curve	curve	NOUN
fcis-12974	136	33	area	area	NOUN
fcis-12974	136	34	auc	auc	NOUN
fcis-12974	136	35	were	be	AUX
fcis-12974	136	36	finally	finally	ADV
fcis-12974	136	37	obtained	obtain	VERB
fcis-12974	136	38	,	,	PUNCT
fcis-12974	136	39	and	and	CCONJ
fcis-12974	136	40	the	the	DET
fcis-12974	136	41	curve	curve	NOUN
fcis-12974	136	42	was	be	AUX
fcis-12974	136	43	generated	generate	VERB
fcis-12974	136	44	as	as	SCONJ
fcis-12974	136	45	shown	show	VERB
fcis-12974	136	46	in	in	ADP
fcis-12974	136	47	figure	figure	NOUN
fcis-12974	136	48	8	8	NUM
fcis-12974	136	49	.	.	PUNCT
fcis-12974	137	1	figure	figure	NOUN
fcis-12974	137	2	8	8	NUM
fcis-12974	137	3	.	.	PUNCT
fcis-12974	138	1	index	index	NOUN
fcis-12974	138	2	comparison	comparison	NOUN
fcis-12974	138	3	chart	chart	VERB
fcis-12974	138	4	the	the	DET
fcis-12974	138	5	precision	precision	NOUN
fcis-12974	138	6	value	value	NOUN
fcis-12974	138	7	remains	remain	VERB
fcis-12974	138	8	stable	stable	ADJ
fcis-12974	138	9	at	at	ADP
fcis-12974	138	10	0.71	0.71	NUM
fcis-12974	138	11	in	in	ADP
fcis-12974	138	12	length	length	NOUN
fcis-12974	138	13	of	of	ADP
fcis-12974	138	14	the	the	DET
fcis-12974	138	15	consumer	consumer	NOUN
fcis-12974	138	16	behavior	behavior	NOUN
fcis-12974	138	17	sequence	sequence	NOUN
fcis-12974	138	18	is	be	AUX
fcis-12974	138	19	18	18	NUM
fcis-12974	138	20	,	,	PUNCT
fcis-12974	138	21	indicating	indicate	VERB
fcis-12974	138	22	no	no	DET
fcis-12974	138	23	further	further	ADJ
fcis-12974	138	24	changes	change	NOUN
fcis-12974	138	25	.	.	PUNCT
fcis-12974	139	1	similarly	similarly	ADV
fcis-12974	139	2	,	,	PUNCT
fcis-12974	139	3	for	for	ADP
fcis-12974	139	4	a	a	DET
fcis-12974	139	5	consumer	consumer	NOUN
fcis-12974	139	6	behavior	behavior	NOUN
fcis-12974	139	7	sequence	sequence	NOUN
fcis-12974	139	8	length	length	NOUN
fcis-12974	139	9	of	of	ADP
fcis-12974	139	10	22	22	NUM
fcis-12974	139	11	,	,	PUNCT
fcis-12974	139	12	accuracy	accuracy	NOUN
fcis-12974	139	13	,	,	PUNCT
fcis-12974	139	14	f1	f1	NOUN
fcis-12974	139	15	score	score	NOUN
fcis-12974	139	16	,	,	PUNCT
fcis-12974	139	17	and	and	CCONJ
fcis-12974	139	18	auc	auc	VERB
fcis-12974	139	19	stabilize	stabilize	NOUN
fcis-12974	139	20	at	at	ADP
fcis-12974	139	21	values	value	NOUN
fcis-12974	139	22	of	of	ADP
fcis-12974	139	23	0.76	0.76	NUM
fcis-12974	139	24	,	,	PUNCT
fcis-12974	139	25	0.79	0.79	NUM
fcis-12974	139	26	,	,	PUNCT
fcis-12974	139	27	and	and	CCONJ
fcis-12974	139	28	0.76	0.76	NUM
fcis-12974	139	29	respectively	respectively	ADV
fcis-12974	139	30	.	.	PUNCT
fcis-12974	140	1	additionally	additionally	ADV
fcis-12974	140	2	,	,	PUNCT
fcis-12974	140	3	with	with	ADP
fcis-12974	140	4	a	a	DET
fcis-12974	140	5	consumer	consumer	NOUN
fcis-12974	140	6	behavior	behavior	NOUN
fcis-12974	140	7	sequence	sequence	NOUN
fcis-12974	140	8	length	length	NOUN
fcis-12974	140	9	of	of	ADP
fcis-12974	140	10	24	24	NUM
fcis-12974	140	11	,	,	PUNCT
fcis-12974	140	12	the	the	DET
fcis-12974	140	13	precision	precision	NOUN
fcis-12974	140	14	value	value	NOUN
fcis-12974	140	15	stabilizes	stabilize	VERB
fcis-12974	140	16	at	at	ADP
fcis-12974	140	17	values0.71	values0.71	NOUN
fcis-12974	140	18	,	,	PUNCT
fcis-12974	140	19	0.79	0.79	NUM
fcis-12974	140	20	and	and	CCONJ
fcis-12974	140	21	0.76	0.76	NUM
fcis-12974	140	22	respectively	respectively	ADV
fcis-12974	140	23	;	;	PUNCT
fcis-12974	140	24	while	while	SCONJ
fcis-12974	140	25	recall	recall	NOUN
fcis-12974	140	26	remains	remain	VERB
fcis-12974	140	27	constant	constant	ADJ
fcis-12974	140	28	at	at	ADP
fcis-12974	140	29	a	a	DET
fcis-12974	140	30	value	value	NOUN
fcis-12974	140	31	of	of	ADP
fcis-12974	140	32	0.9	0.9	NUM
fcis-12974	140	33	throughout	throughout	ADP
fcis-12974	140	34	these	these	DET
fcis-12974	140	35	lengths	length	NOUN
fcis-12974	140	36	.	.	PUNCT
fcis-12974	141	1	figure	figure	NOUN
fcis-12974	141	2	9	9	NUM
fcis-12974	141	3	.	.	PUNCT
fcis-12974	141	4	final	final	ADJ
fcis-12974	141	5	roc	roc	PROPN
fcis-12974	141	6	curve	curve	NOUN
fcis-12974	141	7	5	5	NUM
fcis-12974	141	8	.	.	PUNCT
fcis-12974	142	1	conclusion	conclusion	VERB
fcis-12974	142	2	the	the	DET
fcis-12974	142	3	predictive	predictive	ADJ
fcis-12974	142	4	model	model	NOUN
fcis-12974	142	5	in	in	ADP
fcis-12974	142	6	this	this	DET
fcis-12974	142	7	study	study	NOUN
fcis-12974	142	8	aims	aim	VERB
fcis-12974	142	9	to	to	PART
fcis-12974	142	10	predict	predict	VERB
fcis-12974	142	11	consumers	consumer	NOUN
fcis-12974	142	12	'	'	PART
fcis-12974	142	13	purchasing	purchasing	NOUN
fcis-12974	142	14	behavior	behavior	NOUN
fcis-12974	142	15	based	base	VERB
fcis-12974	142	16	on	on	ADP
fcis-12974	142	17	the	the	DET
fcis-12974	142	18	sequence	sequence	NOUN
fcis-12974	142	19	of	of	ADP
fcis-12974	142	20	operational	operational	ADJ
fcis-12974	142	21	behaviors	behavior	NOUN
fcis-12974	142	22	generated	generate	VERB
fcis-12974	142	23	in	in	ADP
fcis-12974	142	24	an	an	DET
fcis-12974	142	25	e	e	NOUN
fcis-12974	142	26	-	-	NOUN
fcis-12974	142	27	commerce	commerce	NOUN
fcis-12974	142	28	platform	platform	NOUN
fcis-12974	142	29	.	.	PUNCT
fcis-12974	143	1	we	we	PRON
fcis-12974	143	2	analyze	analyze	VERB
fcis-12974	143	3	the	the	DET
fcis-12974	143	4	behavior	behavior	NOUN
fcis-12974	143	5	sequence	sequence	NOUN
fcis-12974	143	6	of	of	ADP
fcis-12974	143	7	each	each	DET
fcis-12974	143	8	consumer	consumer	NOUN
fcis-12974	143	9	and	and	CCONJ
fcis-12974	143	10	the	the	DET
fcis-12974	143	11	related	relate	VERB
fcis-12974	143	12	time	time	NOUN
fcis-12974	143	13	series	series	NOUN
fcis-12974	143	14	by	by	ADP
fcis-12974	143	15	commodity	commodity	NOUN
fcis-12974	143	16	,	,	PUNCT
fcis-12974	143	17	and	and	CCONJ
fcis-12974	143	18	divide	divide	VERB
fcis-12974	143	19	the	the	DET
fcis-12974	143	20	sequence	sequence	NOUN
fcis-12974	143	21	into	into	ADP
fcis-12974	143	22	different	different	ADJ
fcis-12974	143	23	levels	level	NOUN
fcis-12974	143	24	according	accord	VERB
fcis-12974	143	25	to	to	ADP
fcis-12974	143	26	the	the	DET
fcis-12974	143	27	number	number	NOUN
fcis-12974	143	28	of	of	ADP
fcis-12974	143	29	behaviors	behavior	NOUN
fcis-12974	143	30	.	.	PUNCT
fcis-12974	144	1	using	use	VERB
fcis-12974	144	2	python	python	NOUN
fcis-12974	144	3	,	,	PUNCT
fcis-12974	144	4	we	we	PRON
fcis-12974	144	5	built	build	VERB
fcis-12974	144	6	the	the	DET
fcis-12974	144	7	xgboost	xgboost	PROPN
fcis-12974	144	8	predictive	predictive	PROPN
fcis-12974	144	9	model	model	NOUN
fcis-12974	144	10	,	,	PUNCT
fcis-12974	144	11	which	which	PRON
fcis-12974	144	12	is	be	AUX
fcis-12974	144	13	designed	design	VERB
fcis-12974	144	14	to	to	PART
fcis-12974	144	15	use	use	VERB
fcis-12974	144	16	implicit	implicit	ADJ
fcis-12974	144	17	behavioral	behavioral	ADJ
fcis-12974	144	18	information	information	NOUN
fcis-12974	144	19	about	about	ADP
fcis-12974	144	20	consumers	consumer	NOUN
fcis-12974	144	21	to	to	PART
fcis-12974	144	22	predict	predict	VERB
fcis-12974	144	23	their	their	PRON
fcis-12974	144	24	future	future	ADJ
fcis-12974	144	25	behavior	behavior	NOUN
fcis-12974	144	26	.	.	PUNCT
fcis-12974	145	1	through	through	ADP
fcis-12974	145	2	the	the	DET
fcis-12974	145	3	evaluation	evaluation	NOUN
fcis-12974	145	4	of	of	ADP
fcis-12974	145	5	the	the	DET
fcis-12974	145	6	model	model	NOUN
fcis-12974	145	7	,	,	PUNCT
fcis-12974	145	8	we	we	PRON
fcis-12974	145	9	found	find	VERB
fcis-12974	145	10	that	that	SCONJ
fcis-12974	145	11	the	the	DET
fcis-12974	145	12	xgboost	xgboost	PROPN
fcis-12974	145	13	model	model	NOUN
fcis-12974	145	14	performs	perform	VERB
fcis-12974	145	15	well	well	ADV
fcis-12974	145	16	in	in	ADP
fcis-12974	145	17	real	real	ADJ
fcis-12974	145	18	-	-	PUNCT
fcis-12974	145	19	world	world	NOUN
fcis-12974	145	20	e	e	NOUN
fcis-12974	145	21	-	-	NOUN
fcis-12974	145	22	business	business	NOUN
fcis-12974	145	23	scenarios	scenario	NOUN
fcis-12974	145	24	.	.	PUNCT
fcis-12974	146	1	its	its	PRON
fcis-12974	146	2	f1	f1	ADJ
fcis-12974	146	3	score	score	NOUN
fcis-12974	146	4	reaches	reach	VERB
fcis-12974	146	5	0.79	0.79	NUM
fcis-12974	146	6	and	and	CCONJ
fcis-12974	146	7	auc	auc	NOUN
fcis-12974	146	8	value	value	NOUN
fcis-12974	146	9	is	be	AUX
fcis-12974	146	10	0.76	0.76	NUM
fcis-12974	146	11	,	,	PUNCT
fcis-12974	146	12	which	which	PRON
fcis-12974	146	13	indicates	indicate	VERB
fcis-12974	146	14	that	that	SCONJ
fcis-12974	146	15	the	the	DET
fcis-12974	146	16	89	89	NUM
fcis-12974	146	17	model	model	NOUN
fcis-12974	146	18	can	can	AUX
fcis-12974	146	19	effectively	effectively	ADV
fcis-12974	146	20	analyze	analyze	VERB
fcis-12974	146	21	the	the	DET
fcis-12974	146	22	purchasing	purchase	VERB
fcis-12974	146	23	trend	trend	NOUN
fcis-12974	146	24	of	of	ADP
fcis-12974	146	25	consumers	consumer	NOUN
fcis-12974	146	26	.	.	PUNCT
fcis-12974	147	1	this	this	DET
fcis-12974	147	2	study	study	NOUN
fcis-12974	147	3	has	have	VERB
fcis-12974	147	4	important	important	ADJ
fcis-12974	147	5	guiding	guiding	NOUN
fcis-12974	147	6	significance	significance	NOUN
fcis-12974	147	7	for	for	ADP
fcis-12974	147	8	the	the	DET
fcis-12974	147	9	relevant	relevant	ADJ
fcis-12974	147	10	leaders	leader	NOUN
fcis-12974	147	11	of	of	ADP
fcis-12974	147	12	e	e	PROPN
fcis-12974	147	13	-	-	NOUN
fcis-12974	147	14	commerce	commerce	NOUN
fcis-12974	147	15	platforms	platform	NOUN
fcis-12974	147	16	,	,	PUNCT
fcis-12974	147	17	which	which	PRON
fcis-12974	147	18	can	can	AUX
fcis-12974	147	19	help	help	VERB
fcis-12974	147	20	them	they	PRON
fcis-12974	147	21	better	well	ADV
fcis-12974	147	22	understand	understand	VERB
fcis-12974	147	23	consumer	consumer	NOUN
fcis-12974	147	24	behavior	behavior	NOUN
fcis-12974	147	25	,	,	PUNCT
fcis-12974	147	26	to	to	PART
fcis-12974	147	27	develop	develop	VERB
fcis-12974	147	28	more	more	ADV
fcis-12974	147	29	effective	effective	ADJ
fcis-12974	147	30	sales	sale	NOUN
fcis-12974	147	31	strategies	strategy	NOUN
fcis-12974	147	32	.	.	PUNCT
fcis-12974	148	1	in	in	ADP
fcis-12974	148	2	addition	addition	NOUN
fcis-12974	148	3	,	,	PUNCT
fcis-12974	148	4	the	the	DET
fcis-12974	148	5	study	study	NOUN
fcis-12974	148	6	provides	provide	VERB
fcis-12974	148	7	valuable	valuable	ADJ
fcis-12974	148	8	insights	insight	NOUN
fcis-12974	148	9	into	into	ADP
fcis-12974	148	10	how	how	SCONJ
fcis-12974	148	11	to	to	PART
fcis-12974	148	12	maximize	maximize	VERB
fcis-12974	148	13	sales	sale	NOUN
fcis-12974	148	14	of	of	ADP
fcis-12974	148	15	e	e	NOUN
fcis-12974	148	16	-	-	NOUN
fcis-12974	148	17	commerce	commerce	NOUN
fcis-12974	148	18	products	product	NOUN
fcis-12974	148	19	.	.	PUNCT
fcis-12974	149	1	these	these	DET
fcis-12974	149	2	results	result	NOUN
fcis-12974	149	3	provide	provide	VERB
fcis-12974	149	4	practical	practical	ADJ
fcis-12974	149	5	insights	insight	NOUN
fcis-12974	149	6	and	and	CCONJ
fcis-12974	149	7	methods	method	NOUN
fcis-12974	149	8	for	for	ADP
fcis-12974	149	9	decision	decision	NOUN
fcis-12974	149	10	making	making	NOUN
fcis-12974	149	11	in	in	ADP
fcis-12974	149	12	the	the	DET
fcis-12974	149	13	field	field	NOUN
fcis-12974	149	14	of	of	ADP
fcis-12974	149	15	e	e	NOUN
fcis-12974	149	16	-	-	NOUN
fcis-12974	149	17	commerce	commerce	NOUN
fcis-12974	149	18	.	.	PUNCT
fcis-12974	150	1	acknowledgments	acknowledgment	NOUN
fcis-12974	150	2	i	i	PRON
fcis-12974	150	3	would	would	AUX
fcis-12974	150	4	like	like	VERB
fcis-12974	150	5	to	to	PART
fcis-12974	150	6	thank	thank	VERB
fcis-12974	150	7	my	my	PRON
fcis-12974	150	8	advisor	advisor	NOUN
fcis-12974	150	9	,	,	PUNCT
fcis-12974	150	10	maria	maria	PROPN
fcis-12974	150	11	rosario	rosario	PROPN
fcis-12974	150	12	rodavia	rodavia	PROPN
fcis-12974	150	13	,	,	PUNCT
fcis-12974	150	14	who	who	PRON
fcis-12974	150	15	has	have	AUX
fcis-12974	150	16	always	always	ADV
fcis-12974	150	17	supported	support	VERB
fcis-12974	150	18	my	my	PRON
fcis-12974	150	19	work	work	NOUN
fcis-12974	150	20	,	,	PUNCT
fcis-12974	150	21	as	as	ADV
fcis-12974	150	22	well	well	ADV
fcis-12974	150	23	as	as	ADP
fcis-12974	150	24	the	the	DET
fcis-12974	150	25	angeles	angeles	PROPN
fcis-12974	150	26	university	university	PROPN
fcis-12974	150	27	foundation	foundation	PROPN
fcis-12974	150	28	,	,	PUNCT
fcis-12974	150	29	which	which	PRON
fcis-12974	150	30	has	have	AUX
fcis-12974	150	31	given	give	VERB
fcis-12974	150	32	me	i	PRON
fcis-12974	150	33	a	a	DET
fcis-12974	150	34	platform	platform	NOUN
fcis-12974	150	35	to	to	PART
fcis-12974	150	36	show	show	VERB
fcis-12974	150	37	my	my	PRON
fcis-12974	150	38	talents	talent	NOUN
fcis-12974	150	39	.	.	PUNCT
fcis-12974	151	1	references	reference	NOUN
fcis-12974	151	2	[	[	X
fcis-12974	151	3	1	1	NUM
fcis-12974	151	4	]	]	X
fcis-12974	151	5	chen	chen	PROPN
fcis-12974	151	6	,	,	PUNCT
fcis-12974	151	7	t.	t.	PROPN
fcis-12974	151	8	,	,	PUNCT
fcis-12974	151	9	&	&	CCONJ
fcis-12974	151	10	guestrin	guestrin	PROPN
fcis-12974	151	11	,	,	PUNCT
fcis-12974	151	12	c.	c.	PROPN
fcis-12974	151	13	(	(	PUNCT
fcis-12974	151	14	2016	2016	NUM
fcis-12974	151	15	)	)	PUNCT
fcis-12974	151	16	.	.	PUNCT
fcis-12974	152	1	xgboost	xgboost	PROPN
fcis-12974	152	2	:	:	PUNCT
fcis-12974	153	1	a	a	DET
fcis-12974	153	2	scalable	scalable	ADJ
fcis-12974	153	3	tree	tree	NOUN
fcis-12974	153	4	boosting	boost	VERB
fcis-12974	153	5	system	system	NOUN
fcis-12974	153	6	.	.	PUNCT
fcis-12974	154	1	in	in	ADP
fcis-12974	154	2	proceedings	proceeding	NOUN
fcis-12974	154	3	of	of	ADP
fcis-12974	154	4	the	the	DET
fcis-12974	154	5	22nd	22nd	PROPN
fcis-12974	154	6	acm	acm	PROPN
fcis-12974	154	7	sigkdd	sigkdd	PROPN
fcis-12974	154	8	international	international	ADJ
fcis-12974	154	9	conference	conference	NOUN
fcis-12974	154	10	on	on	ADP
fcis-12974	154	11	knowledge	knowledge	NOUN
fcis-12974	154	12	discovery	discovery	PROPN
fcis-12974	154	13	and	and	CCONJ
fcis-12974	154	14	data	datum	NOUN
fcis-12974	154	15	mining	mining	NOUN
fcis-12974	154	16	(	(	PUNCT
fcis-12974	154	17	kdd	kdd	PROPN
fcis-12974	154	18	'	'	PROPN
fcis-12974	154	19	16	16	NUM
fcis-12974	154	20	)	)	PUNCT
fcis-12974	154	21	.	.	PUNCT
fcis-12974	155	1	[	[	X
fcis-12974	155	2	2	2	NUM
fcis-12974	155	3	]	]	SYM
fcis-12974	155	4	li	li	PROPN
fcis-12974	155	5	,	,	PUNCT
fcis-12974	155	6	h.	h.	PROPN
fcis-12974	155	7	,	,	PUNCT
fcis-12974	155	8	&	&	CCONJ
fcis-12974	155	9	guo	guo	PROPN
fcis-12974	155	10	,	,	PUNCT
fcis-12974	155	11	j.	j.	PROPN
fcis-12974	155	12	(	(	PUNCT
fcis-12974	155	13	2018	2018	NUM
fcis-12974	155	14	)	)	PUNCT
fcis-12974	155	15	.	.	PUNCT
fcis-12974	156	1	xgboost	xgboost	PROPN
fcis-12974	156	2	model	model	PROPN
fcis-12974	156	3	for	for	ADP
fcis-12974	156	4	e	e	PROPN
fcis-12974	156	5	-	-	NOUN
fcis-12974	156	6	commerce	commerce	NOUN
fcis-12974	156	7	click	click	NOUN
fcis-12974	156	8	-	-	PUNCT
fcis-12974	156	9	through	through	ADP
fcis-12974	156	10	rate	rate	NOUN
fcis-12974	156	11	prediction	prediction	NOUN
fcis-12974	156	12	.	.	PUNCT
fcis-12974	157	1	in	in	ADP
fcis-12974	157	2	proceedings	proceeding	NOUN
fcis-12974	157	3	of	of	ADP
fcis-12974	157	4	the	the	DET
fcis-12974	157	5	1st	1st	ADJ
fcis-12974	157	6	international	international	ADJ
fcis-12974	157	7	workshop	workshop	NOUN
fcis-12974	157	8	on	on	ADP
fcis-12974	157	9	deep	deep	ADJ
fcis-12974	157	10	learning	learning	NOUN
fcis-12974	157	11	practice	practice	NOUN
fcis-12974	157	12	for	for	ADP
fcis-12974	157	13	highdimensional	highdimensional	ADJ
fcis-12974	157	14	sparse	sparse	ADJ
fcis-12974	157	15	data	datum	NOUN
fcis-12974	157	16	(	(	PUNCT
fcis-12974	157	17	dlp	dlp	NOUN
fcis-12974	157	18	-	-	PUNCT
fcis-12974	157	19	kdd	kdd	PROPN
fcis-12974	157	20	'	'	NUM
fcis-12974	157	21	18	18	NUM
fcis-12974	157	22	)	)	PUNCT
fcis-12974	157	23	.	.	PUNCT
fcis-12974	158	1	[	[	X
fcis-12974	158	2	3	3	NUM
fcis-12974	158	3	]	]	X
fcis-12974	158	4	tong	tong	PROPN
fcis-12974	158	5	,	,	PUNCT
fcis-12974	158	6	j.	j.	PROPN
fcis-12974	158	7	,	,	PUNCT
fcis-12974	158	8	li	li	PROPN
fcis-12974	158	9	,	,	PUNCT
fcis-12974	158	10	l.	l.	PROPN
fcis-12974	158	11	,	,	PUNCT
fcis-12974	158	12	&	&	CCONJ
fcis-12974	158	13	lu	lu	PROPN
fcis-12974	158	14	,	,	PUNCT
fcis-12974	158	15	y.	y.	PROPN
fcis-12974	158	16	(	(	PUNCT
fcis-12974	158	17	2020	2020	NUM
fcis-12974	158	18	)	)	PUNCT
fcis-12974	158	19	.	.	PUNCT
fcis-12974	159	1	predicting	predict	VERB
fcis-12974	159	2	customer	customer	NOUN
fcis-12974	159	3	purchase	purchase	NOUN
fcis-12974	159	4	behavior	behavior	NOUN
fcis-12974	159	5	with	with	ADP
fcis-12974	159	6	gradient	gradient	ADJ
fcis-12974	159	7	boosting	boost	VERB
fcis-12974	159	8	machines	machine	NOUN
fcis-12974	159	9	:	:	PUNCT
fcis-12974	159	10	evidence	evidence	NOUN
fcis-12974	159	11	from	from	ADP
fcis-12974	159	12	ecommerce	ecommerce	PROPN
fcis-12974	159	13	.	.	PUNCT
fcis-12974	160	1	electronic	electronic	ADJ
fcis-12974	160	2	commerce	commerce	NOUN
fcis-12974	160	3	research	research	NOUN
fcis-12974	160	4	,	,	PUNCT
fcis-12974	160	5	1	1	NUM
fcis-12974	160	6	-	-	SYM
fcis-12974	160	7	19	19	NUM
fcis-12974	160	8	.	.	PUNCT
fcis-12974	161	1	[	[	X
fcis-12974	161	2	4	4	NUM
fcis-12974	161	3	]	]	X
fcis-12974	161	4	rashid	rashid	PROPN
fcis-12974	161	5	,	,	PUNCT
fcis-12974	161	6	t.	t.	PROPN
fcis-12974	161	7	,	,	PUNCT
fcis-12974	161	8	li	li	PROPN
fcis-12974	161	9	,	,	PUNCT
fcis-12974	161	10	l.	l.	PROPN
fcis-12974	161	11	,	,	PUNCT
fcis-12974	161	12	&	&	CCONJ
fcis-12974	161	13	wei	wei	PROPN
fcis-12974	161	14	,	,	PUNCT
fcis-12974	161	15	w.	w.	PROPN
fcis-12974	161	16	(	(	PUNCT
fcis-12974	161	17	2019	2019	NUM
fcis-12974	161	18	)	)	PUNCT
fcis-12974	161	19	.	.	PUNCT
fcis-12974	162	1	customer	customer	NOUN
fcis-12974	162	2	churn	churn	NOUN
fcis-12974	162	3	prediction	prediction	NOUN
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fcis-12974	162	5	telecommunication	telecommunication	NOUN
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