Defining logical domains in a web site
HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
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
Building a web thesaurus from web link structure
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Extracting a website's content structure from its link structure
Proceedings of the 14th ACM international conference on Information and knowledge management
Web site topic-hierarchy generation based on link structure
Journal of the American Society for Information Science and Technology
Keyphrase extraction for labeling a website topic hierarchy
Proceedings of the 11th International Conference on Electronic Commerce
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Searching and navigating a Web site is a tedious task and the hierarchical models, such as site maps, are frequently used for organizing the Web site's content. In this work, we propose to model a Web site's content structure using the topic hierarchy, a directed tree rooted at a Web site's homepage in which the vertices and edges correspond to Web pages and hyperlinks. Our algorithm for mining a Web site's topic hierarchy utilizes three types of information associated with a Web site: link structure, directory structure and Web pages' content.