面向异步通讯机制的网页分类研究

针对目前异步通信技术的广泛使用，提出了一种基于支持向量机（SVM）的网页分类模型。该模型根据异步通信技术反映在页面上的特点，确定特征向量元素，结合SVM分类算法，建立基于SVM的页面分类。实验表明，它不仅具有较高的训练效率，同时能得到很高的分类精确率。

Study on asynchronous communication-oriented page classification

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.