Graph Attention Interaction Aggregation Network for Click-Through Rate Prediction

Graph Attention Interaction Aggregation Network for Click-Through Rate Prediction

Click-through rate prediction is a critical task for computational advertising and recommendation systems, where the key challenge is to model feature interactions between different feature domains. At present, the main click-through rate prediction models model feature interactions in an implicit w...

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Bibliographic Details
Main Authors:	Wei Zhang, Zhaobin Kang, Lingling Song, Kaiyuan Qu
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Sensors
Subjects:	click-through rate prediction recommender systems feature interaction graph neural network attention mechanism
Online Access:	https://www.mdpi.com/1424-8220/22/24/9691

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