| 提高个性化推荐精度的定制Web日志方法 |
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| 引用本文： | 苏玉召,牛晓太,赵妍.提高个性化推荐精度的定制Web日志方法[J].图书与情报,2011(5):60-64. |
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| 作者姓名： | 苏玉召 牛晓太 赵妍 |
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| 作者单位： | 中科院国家科学图书馆;郑州航空工业管理学院 |
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| 摘 要： | 文章通过对个性化推荐和数据建模理论研究,分析了普通的Web日志格式采集到的数据无法满足个性化用户分析、预测和推荐精度需要的局限性。提出定制Web日志数据建模的过程及方法,建立了定制Web日志模型原型。通过应用数据挖掘技术的关联分析、分类和聚类实验,实验结果表明,通过定制Web日志的方式采集的数据质量能够很好地满足发现关联规则、内容分类和用户聚类的需求,从而提高个性化推荐的精度。同时,定制的Web日志数据还具有简化数据预处理、多用途的优点。
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| 关 键 词： | 数据建模 定制web日志 数据挖掘 个性化推荐 |
Improving the Precision of Personalized Recommendation by Customized Web Log |
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| Su Yuzhao Niu Xiaotai Zhao Yan.Improving the Precision of Personalized Recommendation by Customized Web Log[J].Library and Information,2011(5):60-64. |
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| Authors: | Su Yuzhao Niu Xiaotai Zhao Yan |
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| Institution: | (Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou,Henan,450015) |
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| Abstract: | This paper analyses the processes and methods of web log data modeling through the research of personalized recommendation and data modeling theory,and points out that the normal web log can’t meet the needs of personalized user-analysis,prediction and the recommended precision.It puts forward the process and method of customizing Web blog data modeling and sets up a prototype of customizing web log data model.We use data mining technique to analyze association rules,classifying and clustering.The experiment shows that the data quality of customized web log data can provide good quality to find out the association rules,the content classification and the user clustering,therefore,it can improve the precision of Personalized Recommendation.Moreover,it has its merits in simplifying data preprocessing and increasing multiple utilities. |
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| Keywords: | data modeling customized web log data mining personalization recommending |
| 本文献已被 CNKI 等数据库收录！ |
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