| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sequential Recommendation | Amazon Beauty (test) | NDCG@1044.9 | 107 | |
| Sequential Recommendation | Amazon Beauty | Recall@1047.34 | 48 | |
| Multimodal Recommendation | Amazon Beauty 6 (leave-one-out) | H@100.5752 | 16 | |
| Recommendation | Amazon Beauty (test) | HR@56.78 | 15 | |
| Recommendation | Amazon-beauty 20% (synthetic) | Recall@102.59 | 14 | |
| Generative Recommendation | Amazon Beauty 1 (test) | HR@54.95 | 10 | |
| Generative Recommendation | Amazon Beauty Public benchmarks (test) | R@50.0492 | 10 | |
| Top-10 Recommendation | Amazon Beauty (test) | Recall@10.2977 | 10 | |
| Next-item recommendation | Amazon Beauty public (test) | AUC0.9368 | 9 | |
| Generative Recommendation | Amazon Beauty (test) | R@56.46 | 8 | |
| Sequential Recommendation | Amazon Beauty classic collection (test) | Recall@57.02 | 8 | |
| Sequential Recommendation | Amazon Beauty implicit feedback | HR@57.36 | 8 | |
| Rating Prediction | Amazon Beauty (test) | Binary Acc56 | 7 | |
| User Trajectory Prediction | Amazon Beauty Seq-3 (test) | MHR@52.6 | 6 | |
| User Trajectory Prediction | Amazon Beauty Seq-2 (test) | MHR@53 | 6 | |
| User Trajectory Prediction | Amazon Beauty Seq-1 (test) | MHR@50.0454 | 6 | |
| Multimodal Generation | Amazon-Beauty (test) | CLIP-I263.46 | 6 | |
| Sequential Recommendation | Amazon Beauty (Leave-one-out) | NDCG@105.44 | 6 | |
| Hierarchical Classification | Amazon Beauty Tree Depth = 2 (test) | Accuracy64.25 | 6 | |
| Generative Recommendation | Amazon-Beauty | Hit Rate @5012.12 | 5 | |
| Collaborative Filtering | Amazon-Beauty | Recall@2017.21 | 4 |