Collaborative Filtering Model of Graph Neural Network Based on Random Walk

Collaborative Filtering Model of Graph Neural Network Based on Random Walk

This paper proposes a novel graph neural network recommendation method to alleviate the user cold-start problem caused by too few relevant items in personalized recommendation collaborative filtering. A deep feedforward neural network is constructed to transform the bipartite graph of user–item inte...

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Bibliographic Details
Main Authors: Jiahao Wang, Hongyan Mei, Kai Li, Xing Zhang, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
recommender systems
graph neural networks
spectral domain graph convolution
collaborative filtering
Online Access:https://www.mdpi.com/2076-3417/13/3/1786

Internet

https://www.mdpi.com/2076-3417/13/3/1786

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