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P$^3$Rec: Distilling Prior--Posterior Preference Reasoning for LLM-based Recommendation
Large language models (LLMs) exhibit strong semantic understanding and preference reasoning capabilities, offering new opportunities for user modeling in recommender systems. Existing LLM-as-Enhancer methods typically distill LLM-derived preference knowledge into lightweight recommenders to avoid co
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