Graph Neural Network Recommendation Model Integrating User Preferences

Graph Neural Network Recommendation Model Integrating User Preferences

Aiming at the problem that knowledge graph-driven graph neural network recommendation algorithm cannot learn the user and item representations at the same time,a graph neural network recommendation model that integrates user preferences is proposed.The model learns user and item representations from...

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Bibliographic Details
Main Author:	XIONG Zhong-min, SHU Gui-wen, GUO Huai-yu
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2022-06-01
Series:	Jisuanji kexue
Subjects:	recommendation system\|knowledge graph\|graph neural network\|preference propagation\|personalized recommendation
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-6-165.pdf

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