Collaborative Knowledge-Enhanced Recommendation with Self-Supervisions

Collaborative Knowledge-Enhanced Recommendation with Self-Supervisions

Knowledge-enhanced recommendation (KER) aims to integrate the knowledge graph (KG) into collaborative filtering (CF) for alleviating the sparsity and cold start problems. The state-of-the-art graph neural network (GNN)–based methods mainly focus on exploiting the connectivity between entities in the...

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Autors principals: Zhiqiang Pan, Honghui Chen
Format: Article
Idioma:English
Publicat: MDPI AG 2021-09-01
Col·lecció:Mathematics
Matèries:
recommender systems
knowledge-enhanced recommendation
collaborative filtering
knowledge graph
self-supervised learning
Accés en línia:https://www.mdpi.com/2227-7390/9/17/2129

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https://www.mdpi.com/2227-7390/9/17/2129

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