The research of decision support vector machine in web information classification

Information retrieval is facing great challenge due to the explosion of the network scales. This makes more researchers focus on the issue of Web page classification technology. By applying binary decision tree into support vector machine (SVM), an assorted SVM method, decision support vector machine (DSVM), based on Web information classification was introduced in the paper. And the way was further combined with the clustering method to solve the multi-category classification problem, reduce numbers of the training sample in SVM, and advance the classification speed and accuracy effectively.