Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Système

Click Through Rate Prediction On Kkbox

Métriques

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Paper Title	Repository
AutoInt+	0.8534	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
xDeepFM	0.8535	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
DCNv3	0.8557	DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction	-
DeepFM	0.8531	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepIM	0.8537	Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
DCNv2	0.8531	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

0 of 6 row(s) selected.