A Method of Data Collecting to Improve the Precision of Filtering User Preference
Zhao Yan1, Su Yuzhao2,3, Guan Tao1
1. Department of Computer Science & Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450015, China; 2. National Science Library, Chinese Academy of Sciences, Beijing 100190, China; 3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：Using the methods of association analysis and clustering in the field of data mining, the paper focuses on the theories and methods of discovering user interests and points out the limitations of standard Web log. So it proposes a method of customized Web log in order to enhance the precision of user interests and preferences. The outcome of experiment shows that,by the method,Web log data hidden in the association rules as well as interests and preferences of similar users can be found, the precision of filtering user interest can be improved at the same time.
赵妍, 苏玉召, 管涛. 一种提高过滤用户偏好精度的数据采集方法[J]. 现代图书情报技术, 2011, (11): 31-37.
Zhao Yan, Su Yuzhao, Guan Tao. A Method of Data Collecting to Improve the Precision of Filtering User Preference. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2011.11.05.
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