| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Amazon Clothing (test) | MOTOR | Recall@203.75 | 14 | 1mo ago | |
| Microlens Cold (test) | SEMCo-Online | Recall@2014.55 | 13 | 3mo ago | |
| M4A-Onion Cold (test) | SEMCo-Online | Recall@209.1 | 13 | 3mo ago | |
| Electronics Cold (test) | SEMCo-Online | Recall@205.26 | 13 | 3mo ago | |
| Clothing Cold (test) | SEMCo-Online | Recall@2014.86 | 13 | 3mo ago | |
| Yelp (test) | CEMG | HR@102.31 | 4 | 5mo ago | |
| Sports (test) | CEMG | HR@101.83 | 4 | 5mo ago | |
| Beauty (test) | CEMG | HR@100.0305 | 4 | 5mo ago | |
| Amazon Sports | Learned Policy | Recall@50 Improvement (vs Random Selection)21.92 | 2 | 4mo ago | |
| Amazon Beauty | Learned Policy | Cold Recall@50 Improvement vs Random21.56 | 2 | 4mo ago | |
| Kuaishou Online Short-Video Platform Jan. 12, 2025 to Jan. 16, 2025 (Online A/B Testing) | DIF | Effective View2.327 | 1 | 1mo ago | |
| Dataset Warm items | - | - | 0 | 1mo ago | |
| Cold items | - | - | 0 | 1mo ago | |
| Overall items | - | - | 0 | 1mo ago | |
| Amazon Sports (test) | - | Cold Recall@50 Improvement (vs Random)- | 0 | 5mo ago | |
| Amazon Beauty (test) | - | Cold Recall@50 Improvement (vs Random)- | 0 | 5mo ago |
