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    云南民族大學學報(自然科學版)

    2020, v.29;No.124(06) 628-634

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    基于社區專家用戶權威度的微博推薦算法研究
    A microblog recommendation algorithm based on the authority of community expert users

    馬倩;王新;鄭承宇;王婷;
    MA Qian;WANG Xin;ZHENG Cheng-Yu;WANG Ting;School of Mathematics and Computer Sciences,Yunnan Minzu University;

    摘要(Abstract):

    針對微博推薦方法存在效率不高、數據稀疏等問題,首先將用戶交互級別與用戶專業知識水平作為用戶信任程度;其次融合改進的平臺認證指數,用戶活躍度和用戶影響力3種因素,得到用戶權威度;最后結合用戶的信任關系和微博用戶的權威度選出專家用戶集,計算專家用戶的興趣相似度進行推薦,改進了基于社區專家用戶權威度的微博推薦算法.實驗結果表明,改進的推薦算法能有效地提高準確率、召回率和F1值.
    Aiming at the problems of low efficiency and sparse data in microblog recommendation methods.Firstly, user interaction level and user professional knowledge level are taken as user trust level; secondly, user authority is obtained by integrating the improved platform authentication index, user activity and user influence; finally, combining the trust relationship of users and the authority of microblog users, the expert user set is selected, and the interest similarity of expert users is calculated for recommendation. The microblog recommendation algorithm based on the authority of community expert users is improved. The experimental results show that the improved recommendation algorithm can effectively improve the precision, recall rate and F1 value.

    關鍵詞(KeyWords): 社區劃分;用戶權威度;專家用戶;推薦算法
    community-based division;user authority;expert user;recommendation algorithm

    Abstract:

    Keywords:

    基金項目(Foundation): 國家自然科學基金(61363022);; 云南民族大學研究生創新基金(2018YJCXS234)

    作者(Author): 馬倩;王新;鄭承宇;王婷;
    MA Qian;WANG Xin;ZHENG Cheng-Yu;WANG Ting;School of Mathematics and Computer Sciences,Yunnan Minzu University;

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    DOI:

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