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Abstract: As every user has his own idiosyncrasies and preferences, an interface that is honed for one user may be problematic for another. To accommodate a diverse range of users, many computer applications therefore include an interface that can be customized --- e.g., by adjusting parameters, or defining macros. This allows each user to have his "own" version of the interface, honed to his specific preferences. However, most such interfaces require the user to perform this customization by... (Update)
Context of citations to this paper: More
.... than older observations [3] Other approaches for predicting the next command use decision trees [2] or combine di erent techniques [9]. These techniques predict up to 75 of the commands correctly, and about 50 when also the extra parameters of the command (switches,...
.... of the next step in a series) is not studied often by machine In this work we ignore command arguments and switches, but others [KG00] have replicated our approach on full command lines and similarly found it to be quite successful. learning researchers; concept...
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BibTeX entry: (Update)
Benjamin Korvemaker and Russell Greiner. Predicting UNIX command lines: Adjusting to user patterns. In Adaptive User Interfaces: Papers from the 2000 AAAI Spring Symposium, pages 59-64, 2000. http://citeseer.ist.psu.edu/korvemaker00predicting.html More
@inproceedings{ korvemaker00predicting,
author = "Benjamin Korvemaker and Russell Greiner",
title = "Predicting {UNIX} Command Lines: Adjusting to User Patterns",
booktitle = "{AAAI}/{IAAI}",
pages = "230-235",
year = "2000",
url = "citeseer.ist.psu.edu/korvemaker00predicting.html" }
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10 Machine learning techniques to make computers easier to use (context) - Motoda, Yoshida - 1998
8 Toward an adaptive command line interface - Davison, Hirsh - 1997
6 Cambridge Series on Human-Computer Interaction (context) - Darragh, Witten et al. - 1992
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