Top-K Recommendation on MovieLens 20M (test)
55.3Recall@50RecVAE
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| RecVAE2019.12 | 55.3 | — | — | — | 41.4 | 44.2 | |
| RaCT2019.12 | 54.3 | — | — | — | 40.3 | 43.4 | |
| Mult-VAE2019.12 | 53.7 | — | — | — | 39.5 | 42.6 | |
| LambdaNet2019.12 | 53.4 | — | — | — | 39.5 | 42.7 | |
| Mult-DAE2019.12 | 52.4 | — | — | — | 38.7 | 41.9 | |
| CDAE2019.12 | 52.3 | — | — | — | 39.1 | 41.8 | |
| EASE2019.12 | 52.1 | — | — | — | 39.1 | 42 | |
| WMF2019.12 | 49.8 | — | — | — | 36 | 38.6 | |
| SLIM2019.12 | 49.5 | — | — | — | 37 | 40.1 | |
| WARP2019.12 | 46.6 | — | — | — | 31.4 | 34.1 | |
| KGNN-LS2019.05 | 32.1 | 4.3 | 15.5 | 45.8 | — | — | |
| LibFM + TransETransE dimension=322019.05 | 28 | 4.1 | 12.5 | 39.6 | — | — | |
| RippleNetd=8, H=22019.05 | 27.8 | 4.5 | 13 | 44.7 | — | — | |
| SVD2019.05 | 27.7 | 3.6 | 12.4 | 40.1 | — | — | |
| LibFMinput=concatenated user ID and item ID, dimension={1, 1, 8}, training epochs=502019.05 | 27.1 | 3.9 | 12.1 | 38.8 | — | — | |
| CKEembedding dimension=642019.05 | 24.4 | 3.4 | 10.7 | 32.2 | — | — | |
| PERmeta-paths=manually designed user-item-attribute-item2019.05 | 16 | 2.2 | 7.7 | 24.3 | — | — |