Graph convolutional network and self-attentive for sequential recommendation

Graph convolutional network and self-attentive for sequential recommendation

Sequential recommender systems (SRS) aim to provide personalized recommendations to users in the context of large-scale datasets and complex user behavior sequences. However, the effectiveness of most existing embedding techniques in capturing the intricate relationships between items remains subopt...

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Bibliographic Details
Main Authors: Kaifeng Guo, Guolei Zeng
Format: Article
Language:English
Published: PeerJ Inc. 2023-12-01
Series:PeerJ Computer Science
Subjects:
Sequential recommendation
Contrastive learning
Graph convolutional network
Deep learning
Online Access:https://peerj.com/articles/cs-1701.pdf

Internet

https://peerj.com/articles/cs-1701.pdf

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