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Method of collaborative filtering recommendation of personalized product-service system based on user
更新时间：2025-05-26

    • Method of collaborative filtering recommendation of personalized product-service system based on user

    • “In the field of promoting new product service systems, experts have proposed an improved collaborative filtering promotion model, which combines user attribute similarity and user experience similarity, as well as an improved Pearson cosine similarity algorithm based on product service system attributes, to improve the accuracy and reliability of promotion.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 7, Pages: 1935-1942(2023)
    • 作者机构：

      1.河南科技大学 机电工程学院，河南 洛阳 471003

      2.机械装备先进制造河南省协同创新中心，河南 洛阳 471003

      3.北京邮电大学 国际学院，北京 100876

    • DOI：10.13229/j.cnki.jdxbgxb.20210964    

      CLC： TP391.3

    • Received：26 September 2021，

      Published：01 July 2023

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  • LYU Feng,LI Nian,FENG Zhuang-zhuang,et al.Method of collaborative filtering recommendation of personalized product-service system based on user[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(07):1935-1942. DOI： 10.13229/j.cnki.jdxbgxb.20210964.

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