Research on the Key Factors of Online Shopping Based on Rough Set
Feng Qing-hua, Juhong Chen · International Conference on E-Business and E-Government · 2012
Online shopping has become a kind of new shopping mode. In order to improve the sales of online website, the retailer should find out the influence factors of online shopping. The research about the influence factors of online shopping focus mainly on the qualitative analysis. The paper puts forward a feature selection method based on rough set, combines with the purchase information of the customer to study the influence factors and gets the key factors based on the attribute frequency reduction algorithm in the discernibility matrix and the importance of the key factors, then the importance of the key factors are normalized to get the weight of the key factors, which can help the online retailer to make rational strategies to improve the sales.