| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Gowalla (test) | BSPM-EM | Recall@200.192 | 126 | 3d ago | |
| Amazon-Book (test) | ProEx | Recall@200.1596 | 101 | 3d ago | |
| Gowalla | TPSC-FO | Recall@2023.48 | 100 | 3d ago | |
| Yelp 2018 (test) | BSPM-EM | Recall@207.2 | 90 | 3d ago | |
| MovieLens | TALLRec | Accuracy97.9 | 84 | 3d ago | |
| ML1M | HR@2082.83 | 59 | 3d ago | ||
| Amazon Sports (test) | SSR | Recall@108.25 | 57 | 3d ago | |
| MovieLens 100K (test) | RMSE0.883 | 55 | 3d ago | ||
| REDIAL (test) | Llama2 + FNSCRS | Recall@1050 | 46 | 3d ago | |
| Amazon Baby (test) | SSR | Recall@100.0728 | 42 | 3d ago | |
| Amazon-Movie IID (test) | DSL | Recall@2013.36 | 42 | 3d ago | |
| Beauty | E-MMKGR | Recall@1011.33 | 39 | 3d ago | |
| Industrial | FedPerGNN | N@100.1315 | 36 | 3d ago | |
| Software | FedPerGNN | N@1025.23 | 36 | 3d ago | |
| Amazon-Book | TAGCF | Recall@2018.43 | 36 | 3d ago | |
| MovieLens-1M (test) | DPCML2 | Recall@36.06 | 34 | 3d ago | |
| Epinions (test) | PSP-NS | Recall@2011.46 | 33 | 3d ago | |
| Amazon-Book IID (test) | PSL-tanh | Recall@200.1575 | 33 | 3d ago | |
| Office | Self-EvolveRec | NDCG@50.2329 | 31 | 3d ago | |
| Amazon Review Toys (test) | S-LLMR | AUC0.7985 | 30 | 3d ago | |
| Amazon Review Beauty (test) | S-LLMR | AUC0.8189 | 30 | 3d ago | |
| Amazon Review Sports (test) | S-LLMR | AUC82.4 | 30 | 3d ago | |
| Qilin | GEMS | Hit Rate@50.4285 | 30 | 3d ago | |
| Electronics | Talos | Precision@200.68 | 30 | 3d ago | |
| Games | Talos | Precision@202.13 | 30 | 3d ago |
