Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning

Incorporating knowledge graphs as auxiliary information to enhance recommendation systems can improve the representations learning of users and items. Recommendation methods based on knowledge graphs can introduce user–item interaction learning into the item graph, focusing only on learning the node...

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Auteurs principaux:	Jinchao Huang, Zhipu Xie, Han Zhang, Bin Yang, Chong Di, Runhe Huang
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-09-01
Collection:	Information
Sujets:	dual-graph learning contrastive learning knowledge graph user–item graph recommendation system
Accès en ligne:	https://www.mdpi.com/2078-2489/15/9/534
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