A Graph Convolutional Network for Session Recommendation Model Based on Improved Transformer
Graph convolutional networks are widely used for session-based recommendation (SBR) of products, aimed at solving anonymous sequence recommendation problems. However, currently almost all SBR models only focus on the current session, ignoring item transitions in other sessions. The paper introduces...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10194940/ |