Abstract
Online reputation mechanisms need honest feedback to function effectively. Self interested agents report the truth only when explicit rewards offset the cost of reporting and the potential gains that can be obtained from lying. Payment schemes (monetary rewards for submitted feedback) can make truth-telling rational based on the correlation between the reports of different clients.
In this paper we use the idea of automated mechanism design to construct the best (i.e., budget minimizing) incentive-compatible payments that are also robust to some degree of private information.
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References
Ben-Tal, A., Nemirovski, A.: Robust Solutions of Uncertain Linear Programs. Op. Research Letters 25, 1–13 (1999)
Clemen, R.T.: Incentive contracts and strictly proper scoring rules. Test 11, 167–189 (2002)
Conitzer, V., Sandholm, T.: Complexity of mechanism design. In: Proceedings of the Uncertainty in Artificial Intelligence Conference (UAI) (2002)
Crémer, J., McLean, R.P.: Optimal Selling Strategies under Uncertainty for a Discriminating Monopolist When Demands Are Interdependent. Econometrica 53(2), 345–361 (1985)
d’Aspremont, C., Gérard-Varet, L.-A.: Incentives and Incomplete Information. Journal of Public Economics 11, 25–45 (1979)
Harmon, A.: Amazon Glitch Unmasks War of Reviewers. The New York Times, February 14 (2004)
Johnson, S., Pratt, J., Zeckhauser, R.: Efficiency Despite Mutually Payoff-Relevant Private Information: The Finite Case. Econometrica 58, 873–900 (1990)
Jurca, R., Faltings, B.: Enforcing Truthful Strategies in Incentive Compatible Reputation Mechanisms. In: Deng, X., Ye, Y. (eds.) WINE 2005. LNCS, vol. 3828, pp. 268–277. Springer, Heidelberg (2005)
Jurca, R., Faltings, B.: Reputation-based Service Level Agreements for Web Services. In: Benatallah, B., Casati, F., Traverso, P. (eds.) ICSOC 2005. LNCS, vol. 3826, pp. 396–409. Springer, Heidelberg (2005)
Jurca, R., Faltings, B.: Minimum payments that reward honest reputation feedback. In: Proceedings of the ACM Conference on Electronic Commerce, Ann Arbor, Michigan, USA, June 11-15 (2006)
Kandori, M., Matsushima, H.: Private observation, communication and collusion. Econometrica 66(3), 627–652 (1998)
Miller, N., Resnick, P., Zeckhauser, R.: Eliciting Informative Feedback: The Peer-Prediction Method. Management Science 51, 1359–1373 (2005)
Parasuraman, A., Zeithaml, V., Berry, L.: A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing 49, 41–50 (1985)
Prelec, D.: A bayesian truth serum for subjective data. Science 306(5695), 462–466 (2004)
Sandholm, T.: Automated mechanism design: A New Application Area for Search Algorithms. In: Proceedings of the International Conference on Principles and Practice of Constraint Programming (2003)
White, E.: Chatting a Singer Up the Pop Charts. The Wall Street Journal, October 15 (1999)
Zohar, A., Rosenschein, J.: Robust Mechanisms for Information Elicitation. In: Proceedings of the AAAI (2006)
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Jurca, R., Faltings, B. (2007). Robust Incentive-Compatible Feedback Payments. In: Fasli, M., Shehory, O. (eds) Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets. TADA AMEC 2006 2006. Lecture Notes in Computer Science(), vol 4452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72502-2_15
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DOI: https://doi.org/10.1007/978-3-540-72502-2_15
Publisher Name: Springer, Berlin, Heidelberg
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