• DocumentCode
    3206428
  • Title

    Role-based Recommendation and Trust Evaluation

  • Author

    Wang, Yan ; Varadharajan, Vijay

  • Author_Institution
    Macquarie Univ., Sydney
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    278
  • Lastpage
    288
  • Abstract
    In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct interactions with the target party. This involves recommendations and the trust evaluation on recommendations. The evaluation on the recommendations by the recommendation receiver depends on a few factors, which include the roles of the recommender in the domain of the target being recommended, the recognition of these roles by the recommendation receiver, and the recommendation reputation (trust) of the recommender. In this paper, we propose a novel role-based recommendation and trust evaluation framework (RBRTE), which takes the above factors into account.
  • Keywords
    information filters; security of data; recommendation receiver; recommendation reputation; role-based recommendation; trust evaluation framework; trust evaluation systems; trust ratings; Books; Data analysis; Electronic commerce; Feedback; History; Motion pictures; Network servers; Peer to peer computing; Sections; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007. The 9th IEEE International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7695-2913-5
  • Type

    conf

  • DOI
    10.1109/CEC-EEE.2007.83
  • Filename
    4285225