Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The connectivity sonar: detecting site functionality by structural patterns
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Coarse-grained classification of web sites by their structural properties
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
Extraction and classification of dense implicit communities in the Web graph
ACM Transactions on the Web (TWEB)
Web site topic-hierarchy generation based on link structure
Journal of the American Society for Information Science and Technology
Intelligent crawling of web applications for web archiving
Proceedings of the 21st international conference companion on World Wide Web
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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.