Can you trust the user? Collaborative trust estimation model for recommendations

Daichi Minami, Taketoshi Ushiama

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    The explosive popularity of social networking services such as Twitter and Facebook has made it common to communicate with unknown people via the Internet. Further, services based on a 'sharing economy' such as Airbnb and Uber have gained popularity and increased opportunities to connect with strangers. Users would like to determine whether the opinions of other users can be trusted. However, it is sometimes difficult to do so, and the judgment of other users is not necessarily correct. We propose a model for predicting the trust of unknown users by using information of users known to a target user. We predicted the trust of reviewers on an online review site based on the proposed model and recommended items based on collaborative filtering (CF) using the obtained trust of the reviewers. The experimental results showed that the recommendation accuracy with the trust was higher than that with general CF.

    本文言語英語
    ホスト出版物のタイトル2017 12th International Conference on Digital Information Management, ICDIM 2017
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ252-256
    ページ数5
    ISBN(電子版)9781538606643
    DOI
    出版ステータス出版済み - 6月 28 2017
    イベント12th International Conference on Digital Information Management, ICDIM 2017 - Fukuoka, 日本
    継続期間: 9月 12 20179月 14 2017

    出版物シリーズ

    名前2017 12th International Conference on Digital Information Management, ICDIM 2017
    2018-January

    その他

    その他12th International Conference on Digital Information Management, ICDIM 2017
    国/地域日本
    CityFukuoka
    Period9/12/179/14/17

    !!!All Science Journal Classification (ASJC) codes

    • コンピュータ ネットワークおよび通信
    • 情報システム
    • 情報システムおよび情報管理

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