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PrismRec revolutionizes micro-video recommendation by treating video content as a core driver of user preferences, achieving a remarkable 22.65% improvement over existing methods.
Denoising diffusion models can disentangle user preferences from noisy micro-video interactions, leading to better recommendations.
