| 一种支持个性化Web推荐的聚类分析 |
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| 引用本文： | 陈雪刚,杨磊.一种支持个性化Web推荐的聚类分析[J].计算技术与自动化,2010,29(1):130-133. |
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| 作者姓名： | 陈雪刚 杨磊 |
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| 作者单位： | 1. 湖南大学,计算机与通信学院,湖南,长沙,410082;湘南学院,计算机系,湖南,郴州,423000
2. 湖南大学,计算机与通信学院,湖南,长沙,410082 |
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| 摘 要： | 提出基于关联的聚类分析方法，挖掘具有相似访问兴趣的用户访问模式，分离不相关的用户模式，并提出基于关联的聚类算法。实验证明，该算法大量减少不相关的用户访问模式，提高个性化推荐质量。为进一步研究个性化推荐技术奠定基础。
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| 关 键 词： | 关联规则 数据挖掘 聚类 个性化推荐 |
A Cluster Analysis for Personalized web Recommendation |
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| CHEN Xue-gang,YANG Lei.A Cluster Analysis for Personalized web Recommendation[J].Computing Technology and Automation,2010,29(1):130-133. |
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| Authors: | CHEN Xue-gang YANG Lei |
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| Affiliation: | 1. School of Computer and Communication, Hunan University, Changsha 410082, China; 2. Department of Computer, Xiangnan University, Chenzhou 423000, China) |
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| Abstract: | In order to provide better personalized recommendation service, and cluster analysis methods based on association has been improved, which mining model of the users access with interests of similar access, and user model of non--related is separated a clustering. An algorithm based on association is proposed. It is proved that the algorithm can reduce a large number of user model of non--related, so improve the quality of the personalized recommendations. It is laid the foun- dation to further study the personalized recommendation technology. |
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| Keywords: | association rules data mining clustering personalized recommendation |
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