Abstract
Zhang [1] has recently proposed a novel trust-based framework for systems including electronic commerce. This system relies on a model of the trustworthiness of advisors (other buyers offering advice to the current buyer) which incorporates estimates of each advisor’s private and public reputations. Users create a social network of trusted advisors, and sellers will offer better rewards to satisfy trusted advisors and thus build their own reputations.
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Zhang, J.: Promoting Honesty in E-Marketplaces: Combining Trust Modeling and Incentive Mechanism Design. PhD thesis, University of Waterloo (2009)
Yu, B., Singh, M.P.: A social mechanism of reputation management in electronic communities. In: Klusch, M., Kerschberg, L. (eds.) CIA 2000. LNCS (LNAI), vol. 1860, pp. 154–165. Springer, Heidelberg (2000)
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Gorner, J. (2010). Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_62
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DOI: https://doi.org/10.1007/978-3-642-13059-5_62
Publisher Name: Springer, Berlin, Heidelberg
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