Author

Yu-Kui Hou

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Preprint Oct 2026

MATE: Adaptive Long- and Short-Term User Memory for LLM-Based Recommendation

Large language model (LLM)-enhanced recommender systems leverage rich item semantics to support personalized recommendation. However, semantic representations alone do not determine which historical behaviors reflect persistent preferences and which mainly indicate recent interests, leaving an important aspect of user...

Yu-Kui Hou · 0 citations

#artificial intelligence Review Oct 2026

Reasoning with Evidence, Not Merely Rationales: Verifiable Preference Proofs for LLM-Based Recommendation

Large language models (LLMs) can infer user preferences from interaction histories and reviews, yet the rationales they generate may not reflect the information actually used for recommendation. A preference claim may be weakly supported by its selected evidence, or may have little effect on the final ranking. We refer...

Yu-Kui Hou, Nathaniel Kang, Peng-Kai Wang et al. · 1 citation