Author(s)

Shuang Chen, Dan Li, HongYun Gao, FanYun Meng

Corresponding Author

Shuang Chen

Abstract

Reducing mistrust between businesses and consumers is a central motivating force of e-commerce. This research identifies a number of key factors related to consumer credit in the B2C context and investigates a method which named support vector machines(SVM)to hedge consumer credit evaluation. Our experimental results of consumer credit evaluation based on data sets from Tmall show that SVM can enhance the separation of different consumers.

Keywords

E-commerce, consumer credit evaluation, B2C.