Recommendation Systems On Douban Monti
Métriques
RMSE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | RMSE |
|---|---|
| glocal-k-global-and-local-kernels-for | 0.7208 |
| collaborative-filtering-with-graph | 0.8326 |
| inductive-graph-pattern-learning-for | 0.721 |
| geometric-matrix-completion-with-recurrent | 0.8012 |
| deep-models-of-interactions-across-sets | 0.738 |
| graph-convolutional-matrix-completion | 0.734 |
| interpretable-recommender-system-with | 0.727 |
| scalable-probabilistic-matrix-factorization | 0.7323 |