Click Through Rate Prediction On Amazon
Metrics
AUC
Results
Performance results of various models on this benchmark
Model Name | AUC | Paper Title | Repository |
|---|---|---|---|
| Wide & Deep | 0.8637 | Wide & Deep Learning for Recommender Systems | - |
| DIN | 0.8818 | Deep Interest Network for Click-Through Rate Prediction | - |
| PNN | 0.8679 | Product-based Neural Networks for User Response Prediction | - |
| DIN + Dice Activation | 0.8871 | Deep Interest Network for Click-Through Rate Prediction | - |
| DeepFM | 0.8683 | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction | - |
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