Research Article
A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism
Table 4
The AUC performance at different data sizes in KDD dataset.
| Data size | AUC | FM | FNN | CCPM | Deep cross | Wide and deep | ASAE |
| 150,000 | 0.6849 | 0.6941 | 0.6938 | 0.7135 | 0.7193 | 0.7212 | 200,000 | 0.6923 | 0.7012 | 0.7027 | 0.7263 | 0.7275 | 0.7355 | 300,000 | 0.7033 | 0.7186 | 0.7134 | 0.7397 | 0.7413 | 0.7482 | 500,000 | 0.7119 | 0.7235 | 0.7204 | 0.7434 | 0.7486 | 0.7547 | 600,000 | 0.7181 | 0.7398 | 0.7291 | 0.7503 | 0.7578 | 0.7672 | 750,000 | 0.7255 | 0.7490 | 0.7467 | 0.7549 | 0.7649 | 0.7793 | 1,000,000 | 0.7315 | 0.7517 | 0.7528 | 0.7652 | 0.7763 | 0.7981 |
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