Recommendation Systems On Douban Monti
평가 지표
RMSE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | RMSE | Paper Title | Repository |
|---|---|---|---|
| GLocal-K | 0.7208 | GLocal-K: Global and Local Kernels for Recommender Systems | - |
| GRALS | 0.8326 | Collaborative Filtering with Graph Information: Consistency and Scalable Methods | |
| IGMC | 0.721 | Inductive Matrix Completion Based on Graph Neural Networks | - |
| sRGCNN | 0.8012 | Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks | - |
| Factorized EAE | 0.738 | Deep Models of Interactions Across Sets | - |
| GC-MC | 0.734 | Graph Convolutional Matrix Completion | - |
| MG-GAT | 0.727 | Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective | |
| GRAEM / KPMF | 0.7323 | Scalable Probabilistic Matrix Factorization with Graph-Based Priors | - |
0 of 8 row(s) selected.