简要介绍了电子商务推荐系统的概念、作用及组成构件,给出了推荐技术分类标准,系统综述了协同

过滤推荐、基于内容推荐、基于人口统计信息推荐、基于效用推荐、基于知识推荐和基于规则推荐等6 种主要的推

荐技术。对这些推荐技术的优缺点进行了比较,介绍了推荐评价技术。重点评述了电子商务个性化推荐领域中的

研究热点问题,并分析了目前国内电子商务个性化推荐理论研究和应用现状,最后提出了电子商务个性化推荐领

域所面临的挑战。-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.