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SotA/Miscellaneous/Click-Through Rate Prediction/MovieLens 20M

Click-Through Rate Prediction on MovieLens 20M

Metric: AUC (higher is better)

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#Model↕AUC▼Extra DataPaperDate↕Code
1github.com/guotong1988/movielens_dataset0.79No---
2DIN + Dice Activation0.7348NoDeep Interest Network for Click-Through Rate Pre...2017-06-21Code
3DIN0.7337NoDeep Interest Network for Click-Through Rate Pre...2017-06-21Code
4DeepFM0.7324NoDeepFM: A Factorization-Machine based Neural Net...2017-03-13Code
5PNN0.7321NoProduct-based Neural Networks for User Response ...2016-11-01Code
6Wide & Deep0.7304NoWide & Deep Learning for Recommender Systems2016-06-24Code