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Heterogeneous Environment-aware Multimodal Recommendation with Modality Alignment
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AI
DOI：10.1016/j.inffus.2025.103989.png)
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Abstract
En 中文
• Cross-modal alignment is performed through the fusion of structural and content aspects. • A novel heterogeneous environment strategy is applied to the recommendation system. • Model generalization is boosted via cyclic mixing, Gaussian noise, and self-supervised tasks.