Click Through Rate Prediction On Movielens 1
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | AUC | Paper Title | Repository |
|---|---|---|---|
| FinalMLP | 0.9720 | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction | |
| AFN+ | 0.95 | Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions | |
| TF4CTR | 0.9746 | TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation |
0 of 3 row(s) selected.