Click Through Rate Prediction On Movielens
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC |
|---|---|
| wide-deep-learning-for-recommender-systems | 0.7304 |
| Modèle 2 | 0.79 |
| deepfm-a-factorization-machine-based-neural | 0.7324 |
| product-based-neural-networks-for-user | 0.7321 |
| deep-interest-network-for-click-through-rate | 0.7348 |
| deep-interest-network-for-click-through-rate | 0.7337 |