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Point of interest recommendation algorithm integrating social geographical information based on weighted matrix factorization
更新时间：2025-05-26

    • Point of interest recommendation algorithm integrating social geographical information based on weighted matrix factorization

    • “In the field of interest point recommendation, researchers have proposed the SGWMF algorithm, which effectively improves recommendation accuracy by integrating social geographic location information.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2632-2639(2023)
    • 作者机构：

      1.长春财经学院 信息工程学院， 长春 130122

      2.吉林大学 计算机科学与技术学院， 长春 130012

      3.吉林大学 公共计算机教学与研究中心， 长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20211201    

      CLC： TP391

    • Received：15 November 2021，

      Published：01 September 2023

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  • HE Ying,WANG Zhuo-ran,ZHOU Xu,et al.Point of interest recommendation algorithm integrating social geographical information based on weighted matrix factorization[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2632-2639. DOI： 10.13229/j.cnki.jdxbgxb.20211201.

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