Research Article
A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism
Table 5
The Logloss performance at different data sizes in KDD dataset.
| Data size | Logloss | FM | FNN | CCPM | Deep cross | Wide and deep | ASAE |
| 150,000 | 0.02967 | 0.02925 | 0.02941 | 0.02826 | 0.02714 | 0.02733 | 200,000 | 0.02898 | 0.02893 | 0.02882 | 0.02793 | 0.02665 | 0.02704 | 300,000 | 0.02886 | 0.02872 | 0.02876 | 0.02768 | 0.02657 | 0.02658 | 500,000 | 0.02875 | 0.02864 | 0.02872 | 0.02759 | 0.02652 | 0.02639 | 600,000 | 0.02783 | 0.02715 | 0.02713 | 0.02674 | 0.02645 | 0.02630 | 750,000 | 0.02752 | 0.02739 | 0.02728 | 0.02631 | 0.02627 | 0.02543 | 1,000,000 | 0.02677 | 0.02642 | 0.02634 | 0.02628 | 0.02606 | 0.02501 |
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