A hybrid trust degree model in social network for recommender system

Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages37-41
    Number of pages5
    ISBN (Electronic)9781479941735
    DOIs
    Publication statusPublished - Sep 29 2014
    Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
    Duration: Aug 31 2014Sep 4 2014

    Publication series

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

    Other

    Other3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    Country/TerritoryJapan
    CityKitakyushu
    Period8/31/149/4/14

    All Science Journal Classification (ASJC) codes

    • Information Systems

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