| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sequential Recommendation | Beauty | Recall@1010.12 | 42 | |
| Recommendation | Beauty | Recall@1011.33 | 39 | |
| Sequential Recommendation | Beauty | HR@1057.42 | 30 | |
| Recommendation | Beauty | P@201.8 | 30 | |
| Top-K Recommendation | Beauty | MRR@200.0489 | 30 | |
| Generative Recommendation | Beauty | R@108.15 | 28 | |
| Sequential Recommendation | Beauty | Recall@55.48 | 24 | |
| Sequential Recommendation | Beauty (test) | HR@55.69 | 21 | |
| Sequential Recommendation | Beauty | Memory (MB)4,094 | 18 | |
| Sequential Recommendation | Beauty Tail Item | Hit Rate @ 1025.57 | 14 | |
| Next-item prediction | Beauty (test) | Hits@1092.72 | 14 | |
| Sequential Recommendation | Beauty | Recall@55.63 | 13 | |
| Sequential Recommendation | Beauty (Head) | H@1065.02 | 12 | |
| Model Extraction | Beauty dataset | N@1035.6 | 12 | |
| Sequential Recommendation | Beauty | HR@104.73 | 11 | |
| Top-K Recommendation | Beauty (test) | Recall@2014.99 | 11 | |
| Recommendation | Beauty (Warm split) | Recall@505.55 | 11 | |
| Recommendation | Beauty (cold split) | Recall@502.65 | 11 | |
| Sequential Recommendation | Beauty | HR@57.2 | 10 | |
| Multimodal Generative Recommendation | Beauty | HR@106.65 | 10 | |
| Next-item prediction | Beauty | MRR0.3737 | 10 | |
| Sequential Recommendation | Beauty | AUC96.37 | 8 | |
| Attribute estimation | Beauty | Hits@100.9594 | 8 | |
| Recommendation | Beauty (test) | Recall@100.626 | 8 | |
| Generative Recommendation | Beauty | Recall@55.38 | 7 |