Abstracts

Dellarocas, Chrysanthos. Immunizing Online Reputation Reporting Systems Against Unfair Ratings and Discriminatory Behavior. Proceedings of the 2nd ACM Conference on Electronic Commerce. Oct 2000. [added Jan 15, 01]

Abstract: Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or, where sellers discriminate on the quality of service they provide to different buyers. This paper proposes and evaluates a set of mechanisms, which eliminate, or significantly reduce the negative effects of such fraudulent behavior. The proposed mechanisms can be easily integrated into existing online reputation systems in order to safeguard their reliability in the presence of potentially deceitful buyers and sellers.