AI RESEARCH
Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation
arXiv CS.AI
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ArXi:2604.20749v1 Announce Type: new Situated conversational recommendation (SCR), which utilizes visual scenes grounded in specific environments and natural language dialogue to deliver contextually appropriate recommendations, has emerged as a promising research direction due to its close alignment with real-world scenarios. Compared to traditional recommendations, SCR requires a deeper understanding of dynamic and implicit user preferences, as the surrounding scene often influences users' underlying interests, while both may evolve across conversations.