document: Classifying web sites In this paper , we present a novel method for the classification of Web sites . This method exploits both structure and content of Web sites in order to discern their functionality . It allows for distinguishing between eight of the most relevant functional classes of Web sites . We show that a pre-classification of Web sites utilizing structural properties considerably improves a subsequent textual classification with standard techniques . We evaluate this approach on a dataset comprising more than 16,000 Web sites with about 20 million crawled and 100 million known Web pages . Our approach achieves an accuracy of 92 % for the coarse-grained classification of these Web sites .
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