A hybrid trust degree model in social network for recommender system

Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    6 被引用数 (Scopus)

    抄録

    Recommender system is an effective way to help users to find the required information. In the social network, the recommendation is often from one user to another user. Therefore, it is necessary to determine how the two users trust each other. However, much work has paid more attention to the one-to-one trust relationship but ignored the many-to-one relationship. In this paper, we proposed a hybrid trust degree model to describe how two users trust each other. This model not only considers the direct trust degree and indirect trust degree between the two users, but also considers the group trust degree. The group trust degree describes how a user are trusted by other users in a group. The experiment result shows that hybrid trust degree can reasonably measure and calculate the credit between two users in a group.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ37-41
    ページ数5
    ISBN(電子版)9781479941735
    DOI
    出版ステータス出版済み - 9月 29 2014
    イベント3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, 日本
    継続期間: 8月 31 20149月 4 2014

    出版物シリーズ

    名前Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

    その他

    その他3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    国/地域日本
    CityKitakyushu
    Period8/31/149/4/14

    !!!All Science Journal Classification (ASJC) codes

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