Click Through Rate Prediction On Movielens 1M

AUC

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	AUC	Accuracy	Paper Title	Repository
RippleNet	0.921	84.4	RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
AutoInt	0.846	-	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
MKR	0.917	84.3	Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
KNI	0.9449	-	An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation
STEC	0.9712	-	STEC: See-Through Transformer-based Encoder for CTR Prediction	-
DCNv3	0.9074	-	DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction	-

0 of 6 row(s) selected.