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Ying-Jie Chen

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Conference Open access Sep 2026

Sentiment-aware Rating-based Recommendation via Semantic-enhanced Item Alignment

This work proposes the SENSE model, a confidence-aware soft sentiment assignment and a sentiment exchange mechanism to quantify fine-grained preferences and explicitly model sentiment interaction, and employs a confidence-aware soft sentiment assignment and a sentiment exchange mechanism to quantify fine-grained preferences and explicitly model sentiment interaction.

Ying-Jie Chen, Xiang Li, Dong Chen et al. · 0 citations

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