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Abstract: Personal software assistants that help users with tasks like finding information, scheduling calendars, or managing work-flow will require significant customization to each individual user. For example, an assistant that helps schedule a particular user's calendar will have to know that user's scheduling preferences. This paper explores the potential of machine learning methods to automatically create and maintain such customized knowledge for personal software assistants. We describe the... (Update)
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BibTeX entry: (Update)
Tom Mitchell, Rich Caruana, John McDermott, and David Zabowski. Experience with a learning personal assistant. Communications of the ACM, 37(7), July 1994. http://citeseer.comp.nus.edu.sg/138276.html More
@misc{ mitchell94experience,
author = "T. Mitchell and R. Caruana and J. McDermott and D. Zabowski",
title = "Experience with a learning personal assistant",
text = "Tom Mitchell, Rich Caruana, John McDermott, and David Zabowski. Experience
with a learning personal assistant. Communications of the ACM, 37(7), July
1994.",
year = "1994",
url = "citeseer.comp.nus.edu.sg/138276.html" }
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