MovieLens

Benchmarks

Task Name	Dataset Name	SOTA Result
Recommendation	MovieLens-1M (test)	NDCG@2019.7	116
Recommendation	MovieLens	Accuracy97.9	99
Recommendation Diversity	MovieLens	Mean Diversity40.12	80
Novel Recommendation	MovieLens	Min Score196.54	70
Recommendation	MovieLens 100K (test)	RMSE0.883	55
CTR Prediction	MovieLens	AUC97.15	55
Group Attack	MovieLens Unpopular items 1M	D@10-0.0009	52
Group Attack	MovieLens Popular items 1M	D@100.1103	52
Recommendation	MovieLens 1M	nDCG@1056.197	49
Vehicle Edge Caching	MovieLens 1M (test)	Cache Hit Rate53.05	48
Sequential Recommendation	MovieLens-1M (test)	Hit@1082.45	42
Sequential Recommendation	MovieLens	ValidRatio1	41
Matrix Estimation	MovieLens Symmetric Noise	L1 Distance Error0.7042	40
Matrix Estimation	MovieLens Pairflip Noise	L1 Distance Error0.9449	40
Matrix Completion	MovieLens-1M (test)	RMSE0.822	37
Multi-objective Recommendation	MovieLens Individual User Instances	SM19.1856	35
Multi-objective Recommendation	MovieLens	DM Score24.72	35
Multi-objective Recommendation	MovieLens	CLO0.9541	35
Recommendation	MovieLens	Recall@108.65	32
Recommendation	MovieLens 10M (test)	Recall@109.35	32
Recommendation	MovieLens 10M (Set-up (S))	Recall@1027.68	32
Personalized Prediction	MovieLens (test)	Accuracy0.646	32
Recommendation	Movielens	Recall@58.365	30
Recommendation	MovieLens small-scale	LCS Score66.8315	30
Recommendation	MovieLens 20M	nDCG@1064.042	29

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