Collaborative Filtering On Million Song
Metrics
Recall@20
Recall@50
nDCG@100
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Recall@20 | Recall@50 | nDCG@100 |
|---|---|---|---|
| recvae-a-new-variational-autoencoder-for-top | 0.276 | 0.374 | 0.326 |
| variational-autoencoders-for-collaborative | 0.266 | 0.364 | 0.316 |
| towards-amortized-ranking-critical-training | 0.268 | 0.364 | 0.319 |
| 190503375 | 0.333 | 0.428 | 0.389 |
| variational-autoencoders-for-collaborative | 0.266 | 0.363 | 0.313 |
| scalable-approximate-nonsymmetric-autoencoder | 0.332 | 0.427 | 0.388 |
| collaborative-metric-learning | - | 0.2460 | - |