Clothing
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Recommendation | Clothing | Recall@106.88 | 40 | |
| Multimodal Recommendation | Clothing (test) | Recall@106.75 | 24 | |
| Cold-start Recommendation | Clothing Cold (test) | Recall@2014.86 | 13 | |
| Sequential Recommendation | Clothing (test) | HR@50.0197 | 13 | |
| Label Noise Detection | Clothing1M (val) | Average Error Rate15.77 | 11 | |
| Multimodal Recommendation | Clothing | Memory (GB)2.16 | 9 | |
| Cross-domain Recommendation | Clothing Leisure Scenario (test) | Recall@52.88 | 8 | |
| Generative Recommendation | Clothing | Recall@101.8 | 7 | |
| Multimodal Recommendation Unlearning | Clothing (user-level) | Recall@20 (R)9.45 | 7 | |
| Rating Prediction | Clothing | RMSE0.6099 | 6 | |
| Multimodal Recommendation Unlearning | Clothing | Balanced Accuracy94.52 | 6 | |
| Recommendation | Clothing | nDCG@1017.15 | 6 | |
| Multimodal Recommendation | Clothing | NDCG@205.13 | 5 | |
| Explanation-rating coherence evaluation | Clothing | GPT Score0.8679 | 4 | |
| Multi-label Attribute Recognition | Clothing | Accuracy92.87 | 3 | |
| Product Search | Clothing Coarse-grained Query | R@576.65 | 2 | |
| Product Search | Clothing Fine-grained Query | R@50.7048 | 2 | |
| Sequential Recommendation | Clothing | HR@11.71 | 2 |
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