  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.
