Rating Prediction on MovieLens 100k U1 (test)
0.887RMSEGHRS
Evaluation Results
| Method | Links | |
|---|---|---|
| GHRS2023.08 | 0.887 | |
| GLocal-K2022.04 | 0.89 | |
| Neural Processes with Stochastic Attentioncontexts=102022.04 | 0.895 | |
| GraphRec + Feat2022.04 | 0.897 | |
| GraphRec2022.04 | 0.904 | |
| GC-MC + Feat2022.04 | 0.905 | |
| ANPcontexts=102022.04 | 0.909 | |
| GC-MC2022.04 | 0.91 | |
| Factorized EAE2023.08 | 0.92 | |
| Original + feature user(avg) + user(%std) + movie(avg) + movie(%std)Feature Enrichment=user statistics and movie statistics, Model Type=Non-linear2023.08 | 0.928 | |
| Original - Linear + feature user(avg) + user(%std) + movie(avg) + movie(%std)Feature Enrichment=user statistics and movie statistics, Model Type=Linear2023.08 | 0.928 | |
| OriginalModel Type=Non-linear, Activation=Sigmoid2023.08 | 0.936 | |
| Original - LinearModel Type=Linear, Activation=None2023.08 | 0.939 | |
| Original σλ = 0.25Noise level (σλ)=0.25, Model Type=Non-linear2023.08 | 0.963 | |
| Original No NoiseNoise=None, Model Type=Non-linear2023.08 | 1.102 |