A Chinese web page automatic classification system

Authors:
Rongyou Huang;Xinjian Zhao
Affiliations:
College of Computer Science and Technology, Zhejian University of Technology, Hangzhou, Zhejian, China;College of Information Engineering, Zhejian University of Technology, Hangzhou, Zhejian, China
Venue:
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Year:
2010

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Abstract

In recent years, with the popularization of development of the network, people are getting closer and closer with the net and the number of web page is increasing rapidly. To help people to quickly locate user-interesting web page promptly in the flood of web information and improve the precision of search engine, a system of Simple Bayesian classifier for automatic classification of Chinese web page is proposed. Experimental results show that the system have high page detection rate and have ability to self-learning.