Collaborative Filtering On Yelp2018
评估指标
NDCG@20
Recall@20
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | NDCG@20 | Recall@20 |
|---|---|---|
| neighborhood-enhanced-supervised-contrastive | 0.0611 | 0.0743 |
| perturbation-recovery-method-for | 0.0584 | 0.0713 |
| perturbation-recovery-method-for | 0.0593 | 0.0720 |
| simplex-a-simple-and-strong-baseline-for | 0.0575 | 0.0701 |
| lightgcn-simplifying-and-powering-graph | 0.0530 | 0.0649 |
| lt-ocf-learnable-time-ode-based-collaborative | 0.0549 | 0.0671 |
| ultragcn-ultra-simplification-of-graph | 0.0561 | 0.0683 |
| self-supervised-graph-learning-for | 0.0555 | 0.0675 |