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arXiv 1201.3835cs.SIcs.HCcs.MA
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Agent中介电子市场中买卖双方共享信誉增强信任的动态模型

A Dynamic Model for Sharing Reputation of Sellers among Buyers for Enhancing Trust in Agent Mediated e-market

Vibha Gaur, Neeraj Kumar Sharma, Punam Bedi

摘要:

信誉系统旨在降低由于不可信的参与者而造成的损失风险。这种损失由于不诚实的顾问为了自身利益而试图污染电子市场环境而加剧。声誉系统的一个主要任务是促进和鼓励那些反复回应公平建议的顾问,并应用意见过滤或诚实检查机制来发现和抵制不诚实的顾问。本文提出了一种动态的方法来计算聚合共享信誉组件过滤掉不公平的建议,然后生成聚合共享信誉值。所提出的方法本质上是动态的,因为它对顾问的行为、当前交易的价值敏感,并鼓励作为顾问的买家之间的合作。它通过增加诚实顾问意见的权重,并使诚实顾问的声誉与交易价值单调成比例,来激励诚实顾问,而不是重复分享诚实的意见。

英文摘要:

Reputation systems aim to reduce the risk of loss due to untrustworthy participants. This loss is aggravated by dishonest advisors trying to pollute the e-market environment for their self-interest. A major task of a reputation system is to promote and encourage advisors who repeatedly respond with fair advice and to apply an opinion filtering or honesty checking mechanism to detect and resist dishonest advisors. This paper provides a dynamic approach to compute the aggregated shared reputation component by filtering out unfair advice and then generating the aggregated shared reputation value. The proposed approach is dynamic in nature as it is sensitive to the behaviour of advisors, value of the current transaction and encourages the cooperation among buyers as advisors. It provides incentive to honest advisors in lieu of repeated sharing of honest opinion by increasing the weight of their opinion and by making the increase in the reputation of honest advisors monotonically proportional to the value of a transaction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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