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Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China
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Forget one-size-fits-all recommendations: this model uses normalizing flows to capture the *multimodal* nature of individual user preferences, leading to better cold-start performance in cross-domain recommendation.
Diffusion models can now generate user preferences for multi-behavior sequential recommendation, outperforming traditional methods by better capturing uncertainty and enabling more diverse recommendations.
