Exploiting Clustering and Phrases for Context-based Information Retrieval.

@inproceedings{DBLP:conf/sigir/AnickV97,
  author    = {Peter G. Anick and
               Shivakumar Vaithyanathan},
  title     = {Exploiting Clustering and Phrases for Context-based Information
               Retrieval},
  booktitle = {SIGIR '97: Proceedings of the 20th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval,
               July 27-31, 1997, Philadelphia, PA, USA},
  publisher = {ACM},
  year      = {1997},
  pages     = {314-323},
  ee        = {db/conf/sigir/AnickV97.html},
  crossref  = {DBLP:conf/sigir/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1997 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Referenced by

1. Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan: Scalable Feature Selection, Classification and Signature Generation for Organizing Large Text Databases into Hierarchical Topic Taxonomies. VLDB J. 7(3): 163-178(1998)
2. Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan: Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases. VLDB 1997: 446-455