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
| Paper Title | Repository | ||
|---|---|---|---|
| TF4CTR | 0.9746 | TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation | |
| FinalMLP | 0.9720 | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction | |
| AFN+ | 0.95 | Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions |
0 of 3 row(s) selected.