Application of the Na(i)ve Bayesian Method with user current usage and hierarchy from website in Chinese Webpage Classification
This paper describes a method for Chinese Webpage classification that uses user usage information and hierarchy from website , rather than the content-based analysis approach and the link-based analysis approach, we have to find a way to use other information like user’s usage and hierarchy from the website to try to improve the performance and features of classifier . This paper tests this method and gains a result.
automatic classification content-based analysis link-based analysis user interest
Jinsong Li Weimin Xue Nanping Dong
College of Information Engineering Beijing University of Chemical Technology Beijing, PRC. 100029 Institute of Information Technology Beijing Union University Beijing, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)