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Reputation systems aim to reduce the risk of loss due to untrustworthyparticipants. This loss is aggravated by dishonest advisors trying to pollutethe e-market environment for their self-interest. A major task of a reputationsystem is to promote and encourage advisors who repeatedly respond with fairadvice and to apply an opinion filtering or honesty checking mechanism todetect and resist dishonest advisors. This paper provides a dynamic approach tocompute the aggregated shared reputation component by filtering out unfairadvice and then generating the aggregated shared reputation value. The proposedapproach is dynamic in nature as it is sensitive to the behaviour of advisors,value of the current transaction and encourages the cooperation among buyers asadvisors. It provides incentive to honest advisors in lieu of repeated sharingof honest opinion by increasing the weight of their opinion and by making theincrease in the reputation of honest advisors monotonically proportional to thevalue of a transaction.

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