Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation

Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation

Sequential recommendation uses contrastive learning to randomly augment user sequences and alleviate the data sparsity problem. However, there is no guarantee that the augmented positive or negative views remain semantically similar. To address this issue, we propose graph neural network-guided cont...

Full description

Bibliographic Details
Main Authors: Xing-Yao Yang, Feng Xu, Jiong Yu, Zi-Yang Li, Dong-Xiao Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
sequential recommendation
graph neural networks
contrastive learning
graph neural networks guided
Online Access:https://www.mdpi.com/1424-8220/23/12/5572

Internet

https://www.mdpi.com/1424-8220/23/12/5572

Similar Items