Transaction Credit Managing Mechanism Based on the Crowd Intelligence-Based Transaction Network

Abstract

Current studies have proposed the platform-based e-commerce credit management technology. The latest research of transaction credit of e-commerce system proposes two kinds of credit, which is direct credit and recommends, and accordingly constructs a model for the transaction network based on crowd intelligence. However, whether the transaction credit model is efficient and orderly or not depends not only on the model itself, but also on the transaction credit managing mechanism. Therefore, this paper carries out in-depth research on the transaction credit managing mechanism based on characteristics of the crowd intelligence-based transaction network, and proposes the method of buyer + circle of friends for transaction credit data storing and updating, and builds a credit data searching method based on the combination of breadth and depth search algorithm. The buyer +circle of friends method not only can make full use of the computing and storing ability of the internet, but also can solve the problem of single node failure. The algorithm optimizes the forwarding strategy of the query request. In addition, the simulation results show that the algorithm can acquire more target resources faster and can effectively reduce the amount of redundant messages in the network.