Learning in Intelligent Information Retrieval

Lewis, David D.

doi:10.1016/B978-1-55860-200-7.50050-7

Learning in Intelligent Information Retrieval

David D. Lewis

ICML 1991 pp. 235-239

doi:10.1016/B978-1-55860-200-7.50050-7 /icml/1991/lewis1991icml-learning/

Abstract

Information retrieval (IR) systems are used for finding, within a large text database, those documents containing information needed by a user. The complex and poorly understood semantics of documents and user queries has made feedback and adaptation important characteristics of IR systems. In this paper we briefly survey previous research on machine learning in IR systems and discuss promising areas for future research at the intersection of these two fields.

ICML Semantic Scholar

Cite

Text

Lewis. "Learning in Intelligent Information Retrieval." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50050-7

Markdown

[Lewis. "Learning in Intelligent Information Retrieval." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/lewis1991icml-learning/) doi:10.1016/B978-1-55860-200-7.50050-7

BibTeX

@inproceedings{lewis1991icml-learning,
  title     = {{Learning in Intelligent Information Retrieval}},
  author    = {Lewis, David D.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {235-239},
  doi       = {10.1016/B978-1-55860-200-7.50050-7},
  url       = {https://mlanthology.org/icml/1991/lewis1991icml-learning/}
}