Research on Student Credit Scoring within College E-commerce Platform

With the progress of college informationization in China, campus e-commerce develops gradually supported by college information platform. Different from business e-commerce platform, the main service target of college e-commerce platform is students in college, whose credit scoring is visibly different from business e-commerce platform. The credit scoring on the mature e-commerce platform cannot be completely applied to students' credit scoring. This paper defines a student credit scoring by analyzing a large amount of samples, and establishes a student credit scoring by utilizing the powerful nonlinear processing ability of BP neural network. By testing the sample, this model proves to be highly accurate and of great practical value.