Collaborative Filtering On Yelp2018
Métriques
NDCG@20
Recall@20
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | NDCG@20 | Recall@20 | Paper Title | Repository |
|---|---|---|---|---|
| NESCL | 0.0611 | 0.0743 | Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering | - |
| BSPM-LM | 0.0584 | 0.0713 | Blurring-Sharpening Process Models for Collaborative Filtering | |
| BSPM-EM | 0.0593 | 0.0720 | Blurring-Sharpening Process Models for Collaborative Filtering | |
| SimpleX | 0.0575 | 0.0701 | SimpleX: A Simple and Strong Baseline for Collaborative Filtering | |
| LightGCN | 0.0530 | 0.0649 | LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation | |
| LT-OCF | 0.0549 | 0.0671 | LT-OCF: Learnable-Time ODE-based Collaborative Filtering | |
| UltraGCN | 0.0561 | 0.0683 | UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation | |
| SGL | 0.0555 | 0.0675 | Self-supervised Graph Learning for Recommendation |
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