WebWatcher: Machine Learning and Hypertext

نویسندگان

  • Thorsten Joachims
  • Tom Mitchell
  • Dayne Freitag
  • Robert Armstrong
چکیده

This paper describes the rst implementation of WebWatcher, a Learning Apprentice for the World Wide Web. We also explore the possibility of extracting information from the structure of hypertext. We introduce an algorithm which identi es pages that are related to a given page using only hypertext structure. We motivate the algorithm by using the Minimum Description Length principle.

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تاریخ انتشار 1995