Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS

Weimin Li, Yikai Ni, Minye Wu, Zhengbo Ye, Qun Jin

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    With the development of social network services, the user relation spectrum of the social network has exceeded our imagination. Hence, personalized recommendation algorithms are adopted in many social networking sites to help users find their potential friends and related information more quickly and conveniently. In this paper, we discuss the weaknesses of current algorithms, and propose a user profile integrated dynamic social recommendation algorithm in order to overcome those limitations. Finally, through the experiment on Weibo dataset, it can conclude that the proposed algorithm outperforms traditional approaches in terms of accuracy and stability.

    元の言語English
    ホスト出版物のタイトルProceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ261-266
    ページ数6
    ISBN(印刷物)9781479980857
    DOI
    出版物ステータスPublished - 2015 8 3
    イベント2nd International Conference on Advanced Cloud and Big Data, CBD 2014 - Huangshan, Anhui, China
    継続期間: 2014 11 202014 11 22

    Other

    Other2nd International Conference on Advanced Cloud and Big Data, CBD 2014
    China
    Huangshan, Anhui
    期間14/11/2014/11/22

      フィンガープリント

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

    これを引用

    Li, W., Ni, Y., Wu, M., Ye, Z., & Jin, Q. (2015). Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS. : Proceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014 (pp. 261-266). [7176103] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBD.2014.42