ML Anthology

Experiments in UNIX Command Prediction

Brian D. Davison, Haym Hirsh
AAAI 1997 pp. 827
doi:10.7282/t3-73g3-2d39 /aaai/1997/davison1997aaai-experiments/

Abstract

A good use interface is central to the success of most products. Our research is concerned with improving an interface by making it adaptive - changing over time as it learns more about the user. In this paper, we consider the task of modifying a UNIX shell to learn to predict the next command executed as one sample adaptive user interface. To this end, we have collected command histories (some extensive) from 77 people, and have calculated the predictive accuracy for each of five methods over this dataset. The algorithm with the highest performance produces an average online predictive accuracy of up to 38%.

PDF AAAI Semantic Scholar

Cite

Text

Davison and Hirsh. "Experiments in UNIX Command Prediction." AAAI Conference on Artificial Intelligence, 1997. doi:10.7282/t3-73g3-2d39

Markdown

[Davison and Hirsh. "Experiments in UNIX Command Prediction." AAAI Conference on Artificial Intelligence, 1997.](https://mlanthology.org/aaai/1997/davison1997aaai-experiments/) doi:10.7282/t3-73g3-2d39

BibTeX

@inproceedings{davison1997aaai-experiments,
  title     = {{Experiments in UNIX Command Prediction}},
  author    = {Davison, Brian D. and Hirsh, Haym},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {827},
  doi       = {10.7282/t3-73g3-2d39},
  url       = {https://mlanthology.org/aaai/1997/davison1997aaai-experiments/}
}