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
All datasetsCriteoAvazuCompany*Bing NewsiPinYouKKBoxMovieLens 1MMovieLens 20MAmazonDianpingFrappeKDD12
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | github.com/guotong1988/movielens_dataset | AUC | 0.79 | — | Unverified |
| 2 | DIN + Dice Activation | AUC | 0.73 | — | Unverified |
| 3 | DIN | AUC | 0.73 | — | Unverified |
| 4 | DeepFM | AUC | 0.73 | — | Unverified |
| 5 | PNN | AUC | 0.73 | — | Unverified |
| 6 | Wide & Deep | AUC | 0.73 | — | Unverified |