Recommendation Systems 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 |
|---|---|---|
| mgdcf-distance-learning-via-markov-graph | 0.0575 | 0.0699 |
| lightgcn-simplifying-and-powering-graph | 0.0530 | 0.0649 |
| sapling-similarity-outperforms-other-local | 0.0542 | 0.0664 |
| neighborhood-enhanced-supervised-contrastive | 0.0611 | 0.0743 |
| svd-ae-simple-autoencoders-for-collaborative | - | - |
| simplex-a-simple-and-strong-baseline-for | 0.0575 | 0.0701 |
| perturbation-recovery-method-for | 0.0584 | 0.0713 |
| turbo-cf-matrix-decomposition-free-graph | 0.0574 | 0.0693 |
| perturbation-recovery-method-for | 0.0593 | 0.0720 |
| lt-ocf-learnable-time-ode-based-collaborative | 0.0549 | 0.0671 |