Click Through Rate Prediction On Movielens 1M
Métriques
AUC
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC | Accuracy |
|---|---|---|
| ripplenet-propagating-user-preferences-on-the | 0.921 | 84.4 |
| autoint-automatic-feature-interaction | 0.846 | - |
| multi-task-feature-learning-for-knowledge | 0.917 | 84.3 |
| an-end-to-end-neighborhood-based-interaction | 0.9449 | - |
| stec-see-through-transformer-based-encoder | 0.9712 | - |
| dcnv3-towards-next-generation-deep-cross | 0.9074 | - |