Cross-domain recommendation via knowledge distillation

Recommendation systems frequently suffer from data sparsity, resulting in less-than-ideal recommendations. A prominent solution to this problem is Cross-Domain Recommendation (CDR), which employs data from various domains to mitigate data sparsity and cold-start issues. Nevertheless, current mainstr...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 311; p. 113112
Main Authors:	Li, Xiuze, Huang, Zhenhua, Wu, Zhengyang, Wang, Changdong, Chen, Yunwen
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.02.2025
Subjects:	Cross-domain recommendation Knowledge distillation Variational graph autoencoder Knowledge distillation Variational graph autoencoder Cross-domain recommendation
ISSN:	0950-7051
Online Access:	Get full text
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