基于淘宝网的C2C电子商务信用评价模型改进研究

Research on Improvement of Credit Evaluation Model for C2C E-Commerce Based on Taobao.com

通过分析现有的淘宝信用评价体系,指出存在问题。将交易金额等客观因素引入到模型中,在算法中体现出交易金额对信用值的影响。同时为了反映出交易时间对信用值的变化,提供近期信用值和近期好评率作为参考。新的信用评价模型更加合理,对信用炒作有较好的抑制作用。

Analyzes the problems of the current credit evaluation system of Taobao.com, and considers transaction amount to the credit evaluation model. This new algorithm reflects the influence of transaction amount and transaction time to the credit value. At the same time provides recent eredit value and recent praise rate as reference to reflect changes that transaction time takes on credit value. The new model becomes more reasonable and can reduce the credit speculation effectively.