Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network

Ruidong Wang; Chao Li; Zhongying Zhao

doi:10.1007/s10489-024-06061-1

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Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network

Ruidong Wang Chao Li Zhongying Zhao

Year: 2024 Journal: Applied Intelligence Vol: 55 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-024-06061-1

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Keywords:

Computer science Modal Convolution (computer science) Graph Human–computer interaction Artificial intelligence Theoretical computer science Artificial neural network

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network

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