Click-through rate prediction model integrating user interest and multi-head attention mechanism

Click-through rate prediction model integrating user interest and multi-head attention mechanism

Abstract The purpose of click-through rate (CTR) prediction is to anticipate how likely a person is to click on an advertisement or item. It's required for a lot of internet applications, such online advertising and recommendation systems. The previous click-through rate estimation approach suf...

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Bibliographic Details
Main Authors: Wei Zhang, Yahui Han, Baolin Yi, Zhaoli Zhang
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:Journal of Big Data
Subjects:
User interest
Multi-head self-attention mechanism
Residual network
Click-through rate prediction model
Online Access:https://doi.org/10.1186/s40537-023-00688-6

Internet

https://doi.org/10.1186/s40537-023-00688-6

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