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

Internet

https://www.mdpi.com/1424-8220/22/24/9691

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