A New Algorithm Based on Incentive Design in E-commerce Systems

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In recent years, the Internet-based commerce has been widely developing with enhancement convenience of trading on the web. On the other hands, a lot of troubles on trading also increase. This paper proposes a new evaluation mechanism to decrease the information incompleteness and asymmetry by using multi-attribute evaluation. Buyers can evaluate due to the multiple criteria chosen by sellers. Based on the number of criteria, the system determines the incentive rate of synthetic rating for sellers. Thus, they have an incentive to disclose evaluated items for buyers. Further, buyers can know a lot of information without information darkness. Sellers have an incentive to disclose a lot of attributes according to our experiment. Advantages of our proposed model include incomplete and asymmetric information decreases on the e-commerce site.

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