Click-Through Rate Prediction
Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.
( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction )
Papers
Showing 1–10 of 391 papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DeepFM | AUC | 0.87 | — | Unverified |
| 2 | FNN | AUC | 0.87 | — | Unverified |
| 3 | Wide & Deep (LR & DNN) | AUC | 0.87 | — | Unverified |
| 4 | PNN* | AUC | 0.87 | — | Unverified |
| 5 | IPNN | AUC | 0.87 | — | Unverified |
| 6 | Wide & Deep (FM & DNN) | AUC | 0.87 | — | Unverified |
| 7 | OPNN | AUC | 0.87 | — | Unverified |
| 8 | DeepMCP | AUC | 0.77 | — | Unverified |