A Multi-Behavior Recommendation Method for Users Based on Graph Neural Networks

A Multi-Behavior Recommendation Method for Users Based on Graph Neural Networks

Most existing recommendation models only consider single user–item interaction information, which leads to serious cold-start or data sparsity problems. In practical applications, a user’s behavior is multi-type, and different types of user behavior show different semantic information. To achieve mo...

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Bibliographic Details
Main Authors:	Ran Li, Yuexin Li, Jingsheng Lei, Shengying Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Applied Sciences
Subjects:	multi-behavior recommendation graph convolutional network higher-order complexity graph information transfer network
Online Access:	https://www.mdpi.com/2076-3417/13/16/9315

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