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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Autori principali:	Jinchao Huang, Zhipu Xie, Han Zhang, Bin Yang, Chong Di, Runhe Huang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-09-01
Serie:	Information
Soggetti:	dual-graph learning contrastive learning knowledge graph user–item graph recommendation system
Accesso online:	https://www.mdpi.com/2078-2489/15/9/534
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