Study on asynchronous communication-oriented page classification
面向异步通信机制的网页分类研究

This paper presented a Web page classification model based on Support Vector Machine (SVM) concerning the widely used asynchronous communication technology today. According to the characteristics that the Web page reflected through asynchronous communication technology, the model decided the eigenvectors. Then combining the SVM classification algorithm, the model constructed the page classification algorithm based on SVM. And experiment shows that it not only improves training efficiency, but also has high precision.