An End-to-End Review-Based Aspect-Level Neural Model for Sequential Recommendation

Table 2

Statistics of the twenty-five datasets.

Datasets	#Users	#Items	#Ratings	Sparsity
Amazon instant video	5,130	1,685	37,126	0.0042
Apps for Android	87,271	13,209	752,937	0.00065
Automotive	2,928	1,835	20,473	0.0038
Baby	19,445	7,050	160,792	0.0012
Beauty	22,363	12,101	198,502	0.00073
Books	52, 643	91, 599	2,84, 108	0.00062
CDs and vinyl	75,258	64,443	1,097,592	0.00023
Cell phones and accessories	27,879	10,429	194,439	0.00067
Clothing shoes and jewelry	39,387	23,033	278,677	0.00031
Digital music	5,541	3,568	64,706	0.0033
Electronic	192,403	63,001	1,689,188	0.00014
Grocery and gourmet food	14,681	8,713	151,254	0.0012
Health and personal care	38,609	18,534	346,355	0.00048
Home and kitchen	66,519	28,237	551,682	0.00029
Kindle store	68,223	61,934	982,619	0.00042
Movies and TV	123,960	50,052	1,697,533	0.00027
Musical instruments	1,429	900	10,261	0.0079
Office products	4,905	2,420	53,258	0.0045
Patio, lawn, and garden	1,686	962	13,272	0.0081
Pet supplies	19,856	8,510	157,836	0.00093
Sports and outdoors	35,598	18,357	296,337	0.00045
Tools and home improvement	16,638	10,217	134,476	0.00079
Toys and games	19,412	11,924	167,597	0.00072
Video games	24,303	10,672	231,780	0.00089
Yelp18	31,831	40,841	1, 666, 869	0.0012