MovieLens
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Movielens
70.8Accuracy
18
MovieLens
0.577NDCG@5
18
MovieLens
0.429RMSE
18
MovieLens 10M (item cold-start)
0.018MAP@5
18
MovieLens item warm-start 10M
0.154MAP@5
18
MovieLens-10M item warm-start scenario
8.083Shannon Entropy @5
18
MovieLens item 10M (cold-start)
9.182Div. SE @5
18
MovieLens 20M (test)
55.3Recall@50
17
MovieLens 20M (test)
97.9AUC
17
MovieLens
26.02Recall@20
16
MovieLens 100K (test)
4.998Additive Satisfaction
16
MovieLens 10M
0.18Precision@3
16
MovieLens 100k
122.7Cumulative Regret
15
MovieLens
55.09Recall@1
15
MovieLens (test)
34.51HR@1
15
MovieLens
91.71Accuracy
15
MovieLens
16.7Recovery Fraction
15
MovieLens
18.067Cumulative Regret
15
MovieLens
6.633True Rank
15
MovieLens
85.57H@10
15
MovieLens
83.17Accuracy
15
MovieLens (ML) (test)
54.17CTR
15
MovieLens 100k U1 (test)
0.887RMSE
15
MovieLens-25M (test)
0.828HR@10
15
MovieLens small (test)
56.09Hit Rate@10
15