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
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;
Conference_Titel :
e-Commerce Technology, 2004. CEC 2004. Proceedings. IEEE International Conference on
Print_ISBN :
0-7695-2098-7
DOI :
10.1109/ICECT.2004.1319735