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Open access Jul 2026

Modeling Response Uncertainty and Item Relevance in Conversational Recommender Systems

Conversational Recommender Systems (CRSs) aim to extract user preferences from natural language interactions and deliver personalized recommendations through conversations. In multi-turn conversations, these systems often generate low-confidence responses when user intent is unclear, leading to inappropriate replies an...

Chang-Bin Zhong, Jie Zou, Aixin Sun et al. · 0 citations

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning

TRU performs three coordinated interventions across the model hierarchy: a ranking fusion gate to suppress residual target-item influence in ranking, branch-wise modality scaling to preserve retained multimodal representations, and capacity-aware parameter-group selection to localize reverse updates to deletion-sensiti...

Zhan-Ting Zhou, Kahou Tam, Ziqiang Zheng et al. · 0 citations

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