Blog's content filtering based on Bayes method and information fingerprint
Qingxia Zhang · Computer Engineering and Applications Journal · 2008
The appearance of blog enriches and changes the network’s connotation,and influences the ways of information-delivering.Blog criticism,as an exchanging way,has been widely used in blog and thus brings new problems to information warding.This paper on one hand,applies Bayes of text filtering in blog criticism by analysis of blog filtering system in hand;On the other hand,because of the specific features of robot widely existing in blog criticism,this paper recognizes and filters the criticism combining the information fingerprint.Moreover,this paper analyzes and discusses the fingerprint functions that influence blog-filtering’s effect and carrying-out speed.The result of this experiment shows that this blog-filtering is effective,based on Bayes and information fingerprint,and is more advanced than the only Bayes in improving system running efficiency and finding out the phenomenon of advertisement robot.