Research on personalized recommendations in E-business
Yu Li, Lu Liu · Computer Integrated Manufacturing Systems · 2004
To make E-business system actively recommend products to users according to their interests, research on E-business recommended systems was firstly described. Concepts, functions and constituents of E-business recommended system were briefly introduced. The technical recommendation standard was given. Six main recommend technologies such as collaborative filtering recommendation, recommendation based on contents, population statistics, efficiency, information and rules were mentioned. Advantages and disadvantages of these above-mentioned technical recommendations were provided. Recommendation evaluation was also introduced. Hot topics in personalized E-business recommendation research were emphasized. Then, existing problems on personalized recommendation in China were analyzed. Future research challenges facing E-business personalized recommendation were presented at last.