OpenCodePapers

click-through-rate-prediction-on-movielens-1m

Click-Through Rate Prediction
Dataset Link
Results over time
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Leaderboard
PaperCodeAUCAccuracyLog LossModelNameReleaseDate
STEC: See-Through Transformer-based Encoder for CTR Prediction0.97120.2016STEC2023-08-29
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation✓ Link0.9449KNI2019-08-12
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems✓ Link0.92184.4RippleNet2018-03-09
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation✓ Link0.91784.3MKR2019-01-23
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction✓ Link0.90740.3001DCNv32024-07-18
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks✓ Link0.8460.3784AutoInt2018-10-29