ML Anthology

Classification Trees for Information Retrieval

Stuart L. Crawford, Robert M. Fung, Lee A. Appelbaum, Richard M. Tong
ICML 1991 pp. 245-249
doi:10.1016/B978-1-55860-200-7.50052-0 /icml/1991/crawford1991icml-classification/

Abstract

While concept-based methods for information retrieval can provide improved performance over more conventional techniques, the effort required to manually construct the concept trees that these methods require amounts to a “knowledge engineering bottleneck.― This paper describes experiments designed to assess the utility of a machine learning approach to the automatic construction of concept trees for information retrieval.

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Cite

Text

Crawford et al. "Classification Trees for Information Retrieval." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50052-0

Markdown

[Crawford et al. "Classification Trees for Information Retrieval." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/crawford1991icml-classification/) doi:10.1016/B978-1-55860-200-7.50052-0

BibTeX

@inproceedings{crawford1991icml-classification,
  title     = {{Classification Trees for Information Retrieval}},
  author    = {Crawford, Stuart L. and Fung, Robert M. and Appelbaum, Lee A. and Tong, Richard M.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {245-249},
  doi       = {10.1016/B978-1-55860-200-7.50052-0},
  url       = {https://mlanthology.org/icml/1991/crawford1991icml-classification/}
}