Click Through Rate Prediction On Movielens 1
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AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 | - |
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