| With the rapid development of the internet and information technology, the group shopping model of C2B (Consumer to Business) e-commerce is increasingly filtering into people's minds, and "users" have proved to be the center of the business model. However, no matter in what kind of business models, the credit is the premise of successful transaction and the foundation of the network credit system. The deficiency of the credit would affect the sound development of the whole network transaction market, and we are short of unified business norm and national markets of the credit evaluation. With heavy local color of a lot of rating agencies, there is no set of standard evaluation criteria and evaluation index system. This paper is intended to analyze the credit issue of the e-commerce deeply, and puts forward with the ACA credit evaluation model, helping the consumer to find out the optical route to the best sellers in the shortest possible time, thus offering reference for our network transactions credit evaluation.This paper can be divided into five sections. The first part briefly introduces the research background, significance, study situation both home and abroad, as well as the overall framework and methods of the article. The second part is the theoretical basis of the article, which lays the first stone of this paper. It does a major research on performance evaluation theory, e-commerce theory and credit evaluation system theory. The third section analyzes detailed the credit management and networking for development of the survey, and the main problems in the team-buy transactions. The fourth part is the core of the study, making the adoption analysis of the ACA (Ant Colony Algorithm) algorithms, raising a comprehensive index system, and making a credit evaluation based on the index system, and then carrying on a Java simulation of the model. The fifth part is the empirical study. It takes Qijia.net, a leading network order representative of China, as an example to implement the model mentioned above to discuss its theoretical study value and practical significance. Finally, the paper puts forward with tactics for Qijia.net to improve its credit evaluation. |