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  Webwatcher: A learning apprentice for the world wide web (1995) [281 citations — 6 self]

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by Robert Armstrong, Dayne Freitag, Thorsten Joachims, Tom Mitchell
http://www.fac.cs.cmu.edu/afs/cs.cmu.edu/user/dayne/www/ps/webwatcher-aaais95.ps.Z
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Abstract:

We describe an information seeking assistant for the world wide web. This agent, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information. Our primary focus to date has been on two issues: (1) organizing WebWatcher to provide interactive advice to Mosaic users while logging their successful and unsuccessful searches as training data, and (2) incorporating machine learning methods to automatically acquire knowledge for selecting an appropriate hyperlink given the current web page viewed by the user and the user's information goal. We describe the initial design of WebWatcher, and the results of our preliminary learning experiments. 1

Citations

2217 J.: Introduction to Modern Information Retrieval – Salton, Macgill - 1983
511 Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm – Littlestone - 1988
282 NewsWeeder: learning to filter netnews – Lang - 1995
177 Experience with a learning personal assistant – Mitchell, Caruana, et al. - 1994
72 A learning apprentice for VLSI design – Mitchell, Mahadevan, et al. - 1985
31 News Weeder: Learning to filter netnews – Lang - 1995