A Graph Convolutional Network for Session Recommendation Model Based on Improved Transformer

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...

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Bibliographic Details
Main Authors: Xiaoyan Zhang, Teng Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Recommendation system
session-based recommendation
graph convolutional network
transformer
Online Access:https://ieeexplore.ieee.org/document/10194940/

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