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Social recommendation based on global capture of dynamic， static and relational features
更新时间：2025-05-26

    • Social recommendation based on global capture of dynamic， static and relational features

    • “In the field of social recommendation, researchers have proposed a new model that effectively improves the performance of recommendation systems by globally capturing dynamic, static, and relational features.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 2, Pages: 700-708(2025)
    • 作者机构：

      桂林电子科技大学 信息与通信学院，广西 桂林 541004

    • DOI：10.13229/j.cnki.jdxbgxb.20230535    

      CLC： TP391

    • Received：20 May 2023，

      Published：01 February 2025

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  • CAI Xiao-dong,ZHOU Qing-song,ZHANG Yan-yan,et al.Social recommendation based on global capture of dynamic， static and relational features[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(02):700-708. DOI： 10.13229/j.cnki.jdxbgxb.20230535.

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