Jin-Fei Chen

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 costly online LLM infe...