DocumentCode :
3472683
Title :
Application of the Naïve Bayesian Method with user current usage and hierarchy from website in Chinese Webpage Classification
Author :
Li, Jinsong ; Xue, Weimin ; Dong, Nanping
Author_Institution :
Beijing Univ. of Chem. Technol., Beijing
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
1364
Lastpage :
1367
Abstract :
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.
Keywords :
Bayes methods; Web sites; Chinese Webpage classification; Naive Bayesian method; Website; content-based analysis approach; link-based analysis approach; user current usage; Bayesian methods; Chemical analysis; Data mining; Information analysis; Performance analysis; Testing; Text categorization; Text mining; Web pages; Web sites; automatic classification; content-based analysis; link-based analysis; user interest;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338782
Filename :
4338782
Link To Document :
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