WebWatcher: Machine Learning and Hypertext

Citation

Joachims T., Mitchell T., Freitag D., Armstrong R. WebWatcher: Machine Learning and Hypertext, in Fachgruppentreffen Maschinelles Lernen, 1995.

Abstract

This paper describes the first 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 fies 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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