Research on Improvement of the Click-Through Rate Prediction Model Based on Differential Privacy
Click-through rate prediction is crucial in network applications such as recommendation systems and online networks. Designing feature extraction schemes to obtain features and modeling users’ click behavior are used to estimate the probability of users clicking on recommended items. The...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9921220/ |