The usage of contextual discounting and opposition in determining the trustfulness of users in online auctions
2012
Abstract
This paper introduces a trust model based on reputation while it takes into account possible fraudulent behavior of users in online auctions as contextual information. The reputation is calculated from user’s evaluations (feedback) following performed transactions.
Information about possible fraudulent behavior is additional information determining the reliability of the user’s reputation in our trust model. Reputation and fraudulent behavior are expressed in a form of belief functions and the resulting user’s trustfulness is calculated.
The case study shows that the proposed approach is valid and may be applicable in real online auctions.