UPGCN: User Perception-Guided Graph Convolutional Network for Multimodal Recommendation

To tackle the challenges of cold start and data sparsity in recommendation systems, an increasing number of researchers are integrating item features, resulting in the emergence of multimodal recommendation systems. Although graph convolutional network-based approaches have achieved significant succ...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Baihu Zhou, Yongquan Liang
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Subjects:	recommender systems multimodal recommendation multimodal fusion graph convolutional network representation learning
Online Access:	https://www.mdpi.com/2076-3417/14/22/10187