most citedTowards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation

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cs.IR2024★ 1 cited

Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation

Xinglong Wu, Anfeng Huang, Hongwei Yang +3

Multi-modal recommendation greatly enhances the performance of recommender systems by modeling the auxiliary information from multi-modality contents. Most existing multi-modal rec…