Recommender System Data Collection

List of Dataset

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Dataset	Domain	Feedback	Timestamp	Auxillary information	Link
ML-1M	Movie	Rating	O	User, movie metadata (e.g. age, gender, genre, …)	Page
ML-10M	Movie	Rating	O	User, movie metadata (e.g. age, gender, genre, …)	Page
ML-20M	Movie	Rating	O	User, movie metadata (e.g. age, gender, genre, …)	Page
ML-25M	Movie	Rating	O	User, movie metadata (e.g. age, gender, genre, …)	Page
Amazon Music (5-core)	E-commerce	Rating	O	Review text, user, item metadata (e.g. useful votes, style)	Page
Amazon CD (5-core)	E-commerce	Rating	O	Review text, user, item metadata (e.g. useful votes, style)	Page
Amazon Games (5-core)	E-commerce	Rating	O	Review text, user, item metadata (e.g. useful votes, style)	Page
Amazon C&A (5-core)	E-commerce	Rating	O	Review text, user, item metadata (e.g. useful votes, style)	Page
Ciao (5-core)	E-commerce	Click	O	Review text, user, item metadata (e.g. useful votes, style)	Page
Epinions	E-commerce	Rating	X	-	Download
Yelp-2015	Restaurant	Rating	-	- (Original page is closed)	Page
Yelp-2018	Restaurant	Rating	-	- (Original page is closed)	Page
CiteULike-a	Citation Network	Click	X	Tags of item	Page
Pinterest	Social Network	Click	X	Item metadata (e.g. Item category)	Raw, NCF
Gowalla	Social Network	Click	O	Relation between users, item metadata (e.g. longitude, latitude)	Page

Preprocess Method

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K-minimum User Interactions

- Filter out users with less than K interactions
- Filter out items with no interactions

K-core Setting

- Filter out users with less than K interactions
- Filter out items with less than K interactions
- Repeat until there is no further change in # users and items

Statistics

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Definitions

- User Avg. Ratings: (# Ratings) / (# Users)
- Sparsity: 1 - {(# Ratings) / (# Users * # Items)}
- Shape: # Users / # Items
- Gini User/Item: Gini-index of user/item popularity. Ratings are more inequally distributed as the index is close to 1.
- Item Concen.: (Item Concentration) Ratio of the ratings that top 5% items hold.

Raw data (data without preprocessing)

Dataset	# Users	# Items	# Ratings	User Avg. Ratings	Sparsity	Shape	Gini User	Gini Item	Item Concen.
ML-1M	6,040	3,706	1,000,209	165.60	0.9553	1.6298	0.5286	0.6336	0.2828
ML-10M	69,878	10,677	10,000,054	143.11	0.9866	6.5447	0.5707	0.8052	0.5165
ML-20M	138,493	26,744	20,000,263	144.41	0.9946	5.1785	0.5807	0.9029	0.7141
ML-25M	162,541	59,047	25,000,095	153.81	0.9974	2.7527	0.5895	0.9419	0.8445
Amazon Music	16,566	11,797	145,292	8.77	0.9993	1.4043	0.3756	0.4315	0.2476
Amazon CD	112,395	73,713	1,402,148	12.48	0.9998	1.5248	0.4656	0.5432	0.3353
Amazon C&A	157,212	48,186	1,120,771	7.13	0.9999	3.2626	0.2091	0.5875	0.3787
Amazon Games	55,223	17,408	473,427	8.57	0.9995	3.1723	0.3230	0.5849	0.3484
Epinions	40,163	139,738	664,823	16.55	0.9999	0.2874	0.6763	0.6936	0.5339
Ciao	6,762	16,610	146,997	21.74	0.9987	0.4071	0.5518	0.5309	0.3128
Yelp 2015	25,677	25,815	696,865	27.14	0.9989	0.9947	0.4509	0.6037	0.3512
Yelp 2018	45,919	45,538	1,183,609	25.78	0.9994	1.0084	0.4268	0.5810	0.3458
Gowalla	107,092	1,280,969	3,981,334	37.18	0.9999	0.0836	0.6627	0.5390	0.3628
CiteULike	5,551	16,980	204,986	36.93	0.9978	0.3269	0.4706	0.3696	0.2098
Pinterest	55,187	9,916	1,463,580	26.52	0.9973	5.5655	0.1401	0.4511	0.1899

10-minimum User Interactions

Dataset	# Users	# Items	# Ratings	User Avg. Ratings	Sparsity	Shape	Gini User	Gini Item	Item Concen.
ML-1M	6,040	3,706	1,000,209	165.60	0.9553	1.6298	0.5286	0.6336	0.2828
ML-10M	69,878	10,677	10,000,054	143.11	0.9866	6.5447	0.5707	0.8052	0.5165
ML-20M	138,493	26,744	20,000,263	144.41	0.9946	5.1785	0.5807	0.9029	0.7141
ML-25M	162,541	59,047	25,000,095	153.81	0.9974	2.7527	0.5895	0.9419	0.8445
Amazon Music	3,951	11,483	75,044	18.99	0.9983	0.3441	0.3067	0.4505	0.2405
Amazon CD	36,487	73,493	933,651	25.59	0.9997	0.4965	0.4448	0.5455	0.3296
Amazon C&A	21,361	44,416	301,976	14.14	0.9997	0.4809	0.1915	0.5807	0.3479
Amazon Games	11,986	17,100	215,645	17.99	0.9989	0.7009	0.2994	0.5833	0.3319
Epinions	15,786	132,964	580,752	36.79	0.9997	0.1187	0.4816	0.6768	0.5197
Ciao	3,829	15,768	129,798	33.90	0.9979	0.2428	0.4516	0.5267	0.3119
Yelp 2015	24,930	25,799	690,381	27.69	0.9989	0.9663	0.4482	0.6038	0.3510
Yelp 2018	45,842	45,538	1,182,917	25.80	0.9994	1.0067	0.4267	0.5811	0.3458
Gowalla	68,709	1,247,158	3,831,386	55.76	0.9999	0.0551	0.5458	0.5365	0.3612
CiteULike	5,551	16,980	204,986	36.93	0.9978	0.3269	0.4706	0.3696	0.2098
Pinterest	55,187	9,916	1,463,580	26.52	0.9973	5.5655	0.1401	0.4511	0.1899

20-minimum User Interactions

Dataset	# Users	# Items	# Ratings	User Avg. Ratings	Sparsity	Shape	Gini User	Gini Item	Item Concen.
ML-1M	6,040	3,706	1,000,209	165.60	0.9553	1.6298	0.5286	0.6336	0.2828
ML-10M	69,878	10,677	10,000,054	143.11	0.9866	6.5447	0.5707	0.8052	0.5165
ML-20M	138,493	26,744	20,000,263	144.41	0.9946	5.1785	0.5807	0.9029	0.7141
ML-25M	162,541	59,047	25,000,095	153.81	0.9974	2.7527	0.5895	0.9419	0.8445
Amazon Music	1,074	10,116	37,526	34.94	0.9965	0.1062	0.2673	0.4466	0.2298
Amazon CD	12,284	71,838	616,845	50.22	0.9993	0.1710	0.4262	0.5472	0.3234
Amazon C&A	2,302	25,285	66,772	29.01	0.9989	0.0910	0.1976	0.4593	0.2585
Amazon Games	2,734	15,189	97,227	35.56	0.9977	0.1800	0.2826	0.5611	0.3069
Epinions	8,693	123,330	482,849	55.54	0.9996	0.0705	0.4192	0.6525	0.4983
Ciao	2,075	14,887	105,827	51.00	0.9966	0.1394	0.3814	0.5224	0.3083
Yelp 2015	9,788	25,373	489,820	50.04	0.9980	0.3858	0.3972	0.5959	0.3346
Yelp 2018	17,137	45,447	806,078	47.04	0.9990	0.3771	0.3768	0.5853	0.3381
Gowalla	47,752	1,183,848	3,530,010	73.92	0.9999	0.0403	0.4946	0.5289	0.3558
CiteULike	3,097	16,792	171,391	55.34	0.9967	0.1844	0.3939	0.3873	0.2139
Pinterest	52,190	9,909	1,408,089	26.98	0.9973	5.2669	0.1359	0.4578	0.1923

10-core Settings

Dataset	# Users	# Items	# Ratings	User Avg. Ratings	Sparsity	Shape	Gini User	Gini Item	Item Concen.
ML-1M	6,040	3,260	998,539	165.32	0.9493	1.8528	0.5285	0.5862	0.2594
ML-10M	69,878	9,708	9,995,471	143.04	0.9853	7.1980	0.5706	0.7867	0.4945
ML-20M	138,493	15,451	19,964,833	144.16	0.9907	8.9634	0.5802	0.8360	0.5784
ML-25M	162,539	24,330	24,890,566	153.14	0.9937	6.6806	0.5881	0.8711	0.6558
Amazon CD	21,450	18,398	527,503	24.59	0.9987	1.1659	0.4286	0.4274	0.2351
Amazon Games	5,942	3,793	103,778	17.47	0.9954	1.5666	0.2857	0.4028	0.2158
Epinions	10,706	8,945	300,303	28.05	0.9969	1.1969	0.4037	0.4950	0.3055
Ciao	2,136	2,597	59,884	28.04	0.9892	0.8225	0.3982	0.4063	0.2855
Yelp 2015	22,087	14,873	602,517	27.28	0.9982	1.4850	0.4413	0.5121	0.2935
Yelp 2018	39,055	25,033	988,768	25.32	0.9990	1.5601	0.4168	0.5065	0.2888
Gowalla	29,858	40,988	1,027,464	34.41	0.9992	0.7285	0.4666	0.4346	0.2915
CiteULike	3,710	6,468	120,324	32.43	0.9950	0.5736	0.4388	0.3052	0.1818
Pinterest	55,164	9,316	1,460,487	26.48	0.9972	5.9214	0.1411	0.4188	0.1819

• All users and items are deleted in Amazon-{music, C&A}