WebWatcher: Machine Learning and Hypertext (1995)
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by
Thorsten Joachims
,
Tom Mitchell
,
Dayne Freitag
,
Robert Armstrong
| Venue: | Lernen. University of Dortmund |
| Citations: | 4 - 1 self |
BibTeX
@INPROCEEDINGS{Joachims95webwatcher:machine,
author = {Thorsten Joachims and Tom Mitchell and Dayne Freitag and Robert Armstrong},
title = {WebWatcher: Machine Learning and Hypertext},
booktitle = {Lernen. University of Dortmund},
year = {1995}
}
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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 identifies pages that are related to a given page using only hypertext structure. We motivate the algorithm by using the Minimum Description Length principle.
