Research on Personalized Recommendation of Electronic Commerce Website Based on Text Mining

With the growing popularity of electronic commerce, for enterprises to enhance the competitiveness, enterprise decision makers and active innovation, to build a distinctive, individualized and user characteristics of e-commerce network platform, e-commerce personalized recommendation was thus born. Enterprises make use of the data mining technology, search, record, analysis server, browser the user's browsing history and purchase records, selected users a sense of interest from the market information, provide differentiated network marketing strategy. Presented in this paper based on text mining e-commerce website personalized recommendation technology is the A, this paper through the comparison of text mining and Web Mining Technology Analysis of the text mining technology of personalized recommendation technology of precision, which information data of the study of mining technology has great reference value.