SepaRating: An approach to reputation computation based on rating separation in e-marketplace

Abstract

This paper proposes SepaRating, a novel mechanism that separates a buyer's rating on a transaction into two kinds of scores: seller's score and item's score. SepaRating pro- vides the reputation of sellers correctly based on the seller's score by repetitive separations, which helps potential buyers to find more reliable sellers. We verify the effectiveness of SepaRating via a series of experiments.