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Preprint Aug 2026

Agents as Knowledge Integrator and Utilizer in Multimodal Recommendation

Online platforms increasingly rely on multimodal recommender systems to rank products, media, and other Web content. Existing methods usually inject visual and textual features into item representations or build homogeneous graphs from modality-level similarity, but the resulting signals can remain misaligned with the...

Jin-Feng Xu, Zhe-Yu Chen, Shuo Yang et al. · 0 citations
Open access Sep 2026

SIHG-Rec: Unleashing the Power of Semantic and Interactive Homogeneous Graphs via Dual-Stage Fusion for Multimodal Recommendation

Recent studies in multimodal recommendation, which leverage diverse modal information to address data sparsity and enhance recommendation accuracy, have garnered significant interest. Two critical processes in this domain are modality fusion and representation learning. In representation learning, existing studies ofte...

Jin-Feng Xu, Zhe-Yu Chen, Wei Wang et al. · 0 citations

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