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

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