| 电子商务推荐系统关键技术研究 |
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| 引用本文： | 曹毅,罗新星.电子商务推荐系统关键技术研究[J].湘南学院学报,2008,29(5). |
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| 作者姓名： | 曹毅 罗新星 |
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| 作者单位： | 1. 湖南工学院,湖南,衡阳,421101
2. 中南大学,商学院,湖南,长沙,410083 |
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| 基金项目： | 湖南省软科学研究计划项目，湖南省普通高校教学改革研究项目，湖南教育厅科学研究项目 |
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| 摘 要： | 简要介绍了电子商务推荐系统的概念，着重讨论了基于协同过滤的推荐技术、基于内容的推荐技术、基于效用的推荐技术、基于知识的推荐技术和基于用户统计的推荐技术，并对这些推荐技术进行了对比分析，最后提出了适合我国电子商务发展的组合推荐策略．
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| 关 键 词： | 电子商务 数据挖掘 推荐系统 个性化推荐 |
Research on Recommending System of Primary Technologies in E-commerce |
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| CAO Yi,LUO Xin-xing.Research on Recommending System of Primary Technologies in E-commerce[J].Journal of Xiangnan University,2008,29(5). |
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| Authors: | CAO Yi LUO Xin-xing |
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| Institution: | CAO Yi~1 LUO Xin-xing~2(1.Hunan Institute of Technology,Hengyang 421101,China,2.School of Business Central South University,Changsha 410083,China) |
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| Abstract: | Concept of E-commerce recommending system is briefly introduced at the beginning of the paper.And then five main recommendation technologies such as collaborative filtering recomrnendation,recommendation based on contents,utility,knowledge and demographic are mentioned.Analysis and comparison among these above- mentioned technical recommendations are also provided.The combined recommendation strategy suitable for the development of E-commerce in China is presented at last. |
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| Keywords: | E-commerce data mining recommending system personalized recommendation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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