Meta-Wrapper Differentiable Wrapping Operator for User Interest Selection in CTR Prediction

Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection in CTR Prediction

Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep learning models with the ability to automatically extract the user interest from his/her behaviors have a...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 11 vom: 01. Nov., Seite 8449-8464
1. Verfasser: Cao, Tianwei (VerfasserIn)
Weitere Verfasser: Xu, Qianqian, Yang, Zhiyong, Huang, Qingming
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
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