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Peng-Fei Shao

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Review Open access Sep 2026

LRGCL: LLM-refined graph contrastive learning for review-based recommendation

Review-based recommendations commonly construct user-item interaction graphs in which textual review semantics serve as edge attributes. However, two practical limitations persist. First, raw reviews are inherently noisy: they often contain personal anecdotes, emotional expressions, and redundant phrasing that interfer...

Li-Ye Shi, Peng-Fei Shao, Shao-Zhong Zhang et al. · 0 citations

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