Adaptive Intent-Preference Arbitration for Conversational Recommendation
Conversational recommender systems integrate long-term preferences (LTP) from previous sessions with short-term intent (STI) expressed in the current conversation. Fixed-rule fusion may produce suboptimal recommendations when these signals conflict. This paper proposes Adaptive Intent–Preference Arbitration (AIPA), whi...