Wang Peng

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Recommender systems are increasingly prevalent to provide personalized suggestions and enhance user satisfaction. Typical recommendation models encode users and items as embeddings, and generate recommendations by assessing the similarity between these embeddings. Despite their effectiveness, these…