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...
Main Authors: | Kaifeng Guo, Guolei Zeng |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-12-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1701.pdf |
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