Web-page classification is an important research direction of web mining and much more difficult than pure-text classification.The accuracy of web-page classification can be heightened by getting rid of noisy information embedded in web pages

and the idea is utilized by our proposed summarization-based web-page classification method.In the paper

three traditional web-page summarization methods are analyzed and improved

and the Content Body summarization method and an ensemble summarization method based on four summarization methods are proposed.A large amount of experimental results of web-page classification based on summarization show that all the summarization methods can improve the performance of web-page classification algorithms and the ensemble summarization method achieves a 12.9% improvement over pure-text based methods.