ML
Benchmarks
TaskDatasetSOTA resultTrendResults
ML-1M
0.802AUC
9
ML-100K Age attribute 1.0 (leave-one-out)
67.03HR@10
9
ML-100K
71.99Precision
9
ML-1M
31.79HR@10
9
ML 1M (overall)
2.06Training Time (m)
9
ML-1M
0.701AUC
9
ML 20M
0.123NDCG@10
8
ML1M
73Recall@10
8
ML-10M
0.368HR@10
8
ML 10M (overall)
3.06Training Time (h)
8
ML-1M implicit feedback
19.44HR@5
8
ML-20M (test)
96.2R@10
8
ML-100K
14.9Recall
8
ML-20M (test)
39.5Recall@20
8
ML 20M (leave-one-out)
20.32Recall@10
7
ML-1M
1.089RMSE
6
ML 20M (test)
21.06NDCG@10
6
ML
24.71CP@10
6
ML-1M
20Overlap Ratio (1:10)
5
ML-1M
43nDCG@5
5
ML-1M
0.687MAP@1
5
ML-1M
7.04F1 Score @ K=10
5
ML 100K
14.38F1@10
5
ML-20M (rating ≥ 4.5)
19.12NDCG@10
5
ML 20M (full-shuffle)
35.67HR@10
5