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 | OptInter | AUC | 0.81 | — | Unverified |
| 2 | OptInter-M | AUC | 0.81 | — | Unverified |
| 3 | CELS | AUC | 0.8 | — | Unverified |
| 4 | FCN | AUC | 0.8 | — | Unverified |
| 5 | CETN | AUC | 0.8 | — | Unverified |
| 6 | OptFS | AUC | 0.8 | — | Unverified |
| 7 | OptEmbed | AUC | 0.79 | — | Unverified |
| 8 | Sparse Deep FwFM | AUC | 0.79 | — | Unverified |
| 9 | FGCNN+IPNN | AUC | 0.79 | — | Unverified |
| 10 | Fi-GNN | AUC | 0.78 | — | Unverified |