A Novel Hierarchical Multimodal Recommender With Enhanced Global Collaborative Signals

Multimodal recommender systems leverage auxiliary item features, such as images and descriptions, to alleviate the data sparsity problem and facilitate the preference modeling process. Despite their potential, existing multimodal recommenders fail to exploit global collaborative signals and lack ins...

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發表在:	IEEE Access
Main Authors:	Peng Yi, Lu Chen, Zhaoxian Li, Cheng Yang
格式:	Article
語言:	英语
出版:	IEEE 2025-01-01
主題:	Multimodal recommender hierarchical graph convolutional networks contrastive learning
在線閱讀:	https://ieeexplore.ieee.org/document/11014073/