• DocumentCode
    3263119
  • Title

    "CONFESS" an incentive compatible reputation mechanism for the hotel booking industry

  • Author

    Jurca, Radu ; Fallings, B.

  • Author_Institution
    Artificial Intelligence Lab., Swiss Fed. Inst. of Technol., Ecublens, Switzerland
  • fYear
    2004
  • fDate
    6-9 July 2004
  • Firstpage
    205
  • Lastpage
    212
  • Abstract
    Reputation mechanisms provide a promising alternative to the traditional security methods for preventing malicious behavior in online transactions. However, obtaining correct reputation information is not trivial. In the absence of objective authorities (or trusted third parties) which can oversee every transaction, mechanism designers have to ensure that it is rational for the participating parties to report the truth. In this paper we describe a complete reputation mechanism for the online hotel booking industry that is efficient (i.e. the equilibrium behavior is cooperative) and incentive compatible. Our mechanism discovers the true outcome of an interaction by analyzing the two reports coming from the agents involved in the interaction. Based on side payments, such a mechanism makes it profitable for long-run agents to commit to always report the truth.
  • Keywords
    electronic commerce; hotel industry; reservation computer systems; CONFESS; malicious behavior; objective authorities; online hotel booking industry; online transactions; reputation information; reputation mechanisms; security methods; Artificial intelligence; Business; Humans; Information security; Laboratories; Nash equilibrium; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Commerce Technology, 2004. CEC 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2098-7
  • Type

    conf

  • DOI
    10.1109/ICECT.2004.1319735
  • Filename
    1319735