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

Daichi Minami, Taketoshi Ushiama

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

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2017 12th International Conference on Digital Information Management, ICDIM 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages252-256
    Number of pages5
    ISBN (Electronic)9781538606643
    DOIs
    Publication statusPublished - Jun 28 2017
    Event12th International Conference on Digital Information Management, ICDIM 2017 - Fukuoka, Japan
    Duration: Sep 12 2017Sep 14 2017

    Publication series

    Name2017 12th International Conference on Digital Information Management, ICDIM 2017
    Volume2018-January

    Other

    Other12th International Conference on Digital Information Management, ICDIM 2017
    Country/TerritoryJapan
    CityFukuoka
    Period9/12/179/14/17

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems
    • Information Systems and Management

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