Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search
DREAMS is proposed, a novel tree-structured context modeling framework that explicitly captures user preference evolution throughout multi-turn interactions and introduces two specialized node types to support the two fundamental objectives of CRSs: preference elicitation and preference exploitation.
Jin-Cheng Zhang, Chen Huang, Wen-Qiang Lei et al.
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