dc.contributor.authorZhang, Jie
dc.contributor.authorCohen, Robin
dc.date.accessioned2013-10-23T06:00:34Z
dc.date.available2013-10-23T06:00:34Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationZhang, J.,& Cohen, R. (2013). A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids. ACM transactions on intelligent systems and technology, 4(2), 1-22.en_US
dc.identifier.issn2157-6904en_US
dc.identifier.urihttp://hdl.handle.net/10220/16711
dc.description.abstractIn this article, we present a framework of use in electronic marketplaces that allows buying agents to model the trustworthiness of selling agents in an effective way, making use of seller ratings provided by other buying agents known as advisors. The trustworthiness of the advisors is also modeled, using an approach that combines both personal and public knowledge and allows the relative weighting to be adjusted over time. Through a series of experiments that simulate e-marketplaces, including ones where sellers may vary their behavior over time, we are able to demonstrate that our proposed framework delivers effective seller recommendations to buyers, resulting in important buyer profit. We also propose limiting seller bids as a method for promoting seller honesty, thus facilitating successful selection of sellers by buyers, and demonstrate the value of this approach through experimental results. Overall, this research is focused on the technological aspects of electronic commerce and specifically on technology that would be used to manage trust.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesACM transactions on intelligent systems and technologyen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleA framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bidsen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1145/2438653.2438659


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