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Global potential information combined graph neural networks for session-based recommendation
更新时间：2025-05-26

    • Global potential information combined graph neural networks for session-based recommendation

    • “In the field of recommendation systems, experts have proposed a graph neural network model that combines global information to effectively improve recommendation accuracy and provide new directions for session recommendation research.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 10, Pages: 2964-2972(2023)
    • 作者机构：

      1.吉林大学 计算机科学与技术学院， 长春 130012

      2.吉林大学 符号计算与知识工程教育部重点实验室， 长春 130012

      3.东北师范大学 信息科学与技术学院， 长春 130117

    • DOI：10.13229/j.cnki.jdxbgxb.20211335    

      CLC： TP301.6

    • Received：06 December 2021，

      Published：01 October 2023

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  • DONG Li-yan,LIANG Wei-ye,WANG Yue-qun,et al.Global potential information combined graph neural networks for session-based recommendation[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(10):2964-2972. DOI： 10.13229/j.cnki.jdxbgxb.20211335.

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