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Li-Chen Cheng

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Review Open access Aug 2026

Personalized wine recommendations in e-commerce: Integrating knowledge graphs and graph neural networks

A wine recommendation system based on heterogeneous graph transformers that integrates hybrid node features from users, reviews, and wine knowledge and achieves an average improvement of 2.11% in precision and 5.87% in normalized discounted cumulative gain (NDCG) across top-K recommendations is proposed.

J. Liou, Zi-Yi Hong, Li-Chen Cheng · 0 citations

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