Study of Credit Evaluation Algorithm Based on Iterative Principle of Unified Platform

Abstract

Because retail consumers are difficult to authenticate, they are difficult to manage, it leads the credit management of C2C e-commerce is very difficult. At present, most C2C e-commerce transactions are considered too simple in the credit evaluation algorithm, it can't really reflect the integrity of the user. In this paper proposes the credit evaluation algorithm based on iterative principle bases on transaction history, on the basis of considering the transaction amount, the transaction time and the credibility of the users, with the method of iterative calculation, give full consideration to the effects of time of credit for the success of the deal to provide reliable basis, it can effectively distinguish malicious users and integrity users, thus reducing the credit fraud behavior, such as improving the security of C2C e-commerce.