DiffCL combines diffusion-based contrastive view generation, ID-guided cross-modal alignment, and a KNN item graph to improve multimodal recommendation accuracy on three Amazon datasets.
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DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations
DiffCL combines diffusion-based contrastive view generation, ID-guided cross-modal alignment, and a KNN item graph to improve multimodal recommendation accuracy on three Amazon datasets.