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The University of Hong Kong
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Dramatically improve multimodal recommendation accuracy without any training by initializing user embeddings with item modality features and user cluster information.
LLM agents can be made more reliable by structurally verifying their internal reasoning, rather than relying on consensus which conflates agreement with faithfulness.
Forget static fusion: CAMMSR adaptively weights multimodal signals in sequential recommendations based on item category and user preferences, unlocking synergistic effects between modalities.