| 电子商务隐式浏览输入中的用户聚类分析 |
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| 引用本文： | 崔春生.电子商务隐式浏览输入中的用户聚类分析[J].图书情报工作,2011,55(14):130-134. |
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| 作者姓名： | 崔春生 |
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| 作者单位： | 河南财经政法大学计算机与信息工程学院 |
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| 摘 要： | 针对隐式浏览输入中用户信息难以把握、推荐质量难以提高的问题，从用户心理和用户行为出发，定义用户隐式兴趣度，进而得到用户对产品种类的兴趣度，并对其中的难点进行深入剖析。最后研究基于兴趣度的用户聚类分析结果，为推荐系统中的算法研究和推荐输出研究奠定基础。
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| 关 键 词： | 推荐系统 隐式浏览输入 用户兴趣度 聚类分析 |
| 收稿时间： | 2011-01-20 |
User Aggregation Analysis Based on E-commerce Implicit Navigation |
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| Cui Chunsheng College of Computer , Information Engineering,Henan University of Economics , Law,Zhengzhou.User Aggregation Analysis Based on E-commerce Implicit Navigation[J].Library and Information Service,2011,55(14):130-134. |
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| Authors: | Cui Chunsheng College of Computer Information Engineering Henan University of Economics Law Zhengzhou |
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| Institution: | College of Computer and Information Engineering, Henan University of Economics and Law, |
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| Abstract: | Implicit navigation which is the key issue in e-commerce recommender system was studied in this paper.At the beginning,the expression of implicit user interest level which can describe user psychology and behavior was defined.Then the user interest level to product category was derived in this paper.Meanwhile,some difficulties were in-depth analized.Finally,the author got aggregation analysis result based on user interest level.So,this research will lay the foundation for the recommendation algorithms and o... |
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| Keywords: | recommender system implicit navigation user interest level aggregation analysis |
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