Reliable Distillation of Recommendation Rationales From Large Language Models for Conversational Recommendation
Conversational recommender systems (CRSs) aim to provide personalized recommendations through conversational interactions. Prior approaches that leverage knowledge graphs (KGs), referred to as KG-based CRSs, have demonstrated strong performance by incorporating domain-specific knowledge. However, they often struggle to...