LETTER: Self-Harmonized Representation Learning for Multimodal Recommendation
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DOI: 10.1109/tmm.2025.3623549
Abstract: Multimodal recommender systems try to integrate multimedia data (images, texts, etc.) with user-item historical records to better model user preference. However, most previous methods largely ignored the underlying fine-grained attribute features of items, which makes… read more here.
Keywords: letter; self harmonized; multimodal recommendation; user item ... See more keywords