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电子商务个性化推荐研究 被引量：104

Research on personalized recommendations in E-business
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摘要 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 。 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.
作者 余力 刘鲁
机构地区 北京航空航天大学经济管理学院 中国人民大学信息学院
出处 《计算机集成制造系统》 EI CSCD 北大核心 2004年第10期1306-1313,共8页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目 ( 70 3 710 0 4) 教育部博士点基金资助项目 ( 2 0 0 0 0 0 0 60 1)~~
关键词 个性化推荐 协同过滤 推荐系统 电子商务 personalized recommendation collaborative filtering recommended systems E-business
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献26

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二级参考文献23

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共引文献165

同被引文献677

引证文献104

二级引证文献611

计算机集成制造系统
2004年 第10期

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