To make E- business system actively recommend product s to users according to their interest s , re2 search on E- business recommended systems was firstly described. Concept s , functions and constituent s of E- business recommended system were briefly int roduced. The technical recommendation standard was given. Six main recommend technologies such as collaborative filtering recommendation , recommendation based on con2 tent s , population statistics , efficiency , information and rules were mentioned. Advantages and disadvantages of these above- mentioned technical recommendations were provided. Recommendation evaluation was also int ro2 duced. Hot topics in personalized E- business recommendation research were emphasized. Then , existing prob2 lems on personalized recommendation in China were analyzed. Future research challenges facing E- business personalized recommendation were presented at last.

电子商务个性化推荐研究.pdf

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