Honghui Kuang

Multi-granularity contrastive learning for conversational recommender system

2025 · IET conference proceedings.

Conversational recommender systems (CRS) use natural language dialogues to capture user preferences and provide personalized recommendations. CRS typically includes two modules: recommendation and dialogue, which serve different functions but are both essential. Early approaches used …