Knowledge-based recommendation with contrastive learning

Knowledge Graphs (KGs) have been incorporated as external information into recommendation systems to ensure the high-confidence system. Recently, Contrastive Learning (CL) framework has been widely used in knowledge-based recommendation, owing to the ability to mitigate data sparsity and it consider...

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Bibliographic Details

Published in:	High-Confidence Computing
Main Authors:	Yang He, Xu Zheng, Rui Xu, Ling Tian
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Subjects:	Knowledge graph Recommendation systems Contrastive learning Graph neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667295223000491