Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval.

Stephen E. Robertson, Steve Walker: Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval. SIGIR 1994: 232-241

@inproceedings{DBLP:conf/sigir/RobertsonW94,
  author    = {Stephen E. Robertson and
               Steve Walker},
  editor    = {W. Bruce Croft and
               C. J. van Rijsbergen},
  title     = {Some Simple Effective Approximations to the 2-Poisson Model for
               Probabilistic Weighted Retrieval},
  booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Dublin,
               Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
  publisher = {ACM/Springer},
  year      = {1994},
  isbn      = {3-540-19889-X},
  pages     = {232-241},
  ee        = {db/conf/sigir/RobertsonW94.html},
  crossref  = {DBLP:conf/sigir/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

The 2-Poisson model for term frequencies is used to suggest ways of incorporating certain variables in probabilistic models for information retrieval. The variables concerned are within-document term frequency, document length, and within-query term frequency. Simple weighting functions are developed, and tested on the TREC test collection. Considerable performance improvements (over simple inverse collection frequency weighting) are demonstrated.

Copyright © 1994 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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Printed Edition

W. Bruce Croft, C. J. van Rijsbergen (Eds.): Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum). ACM/Springer 1994, ISBN 3-540-19889-X
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Referenced by

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)
Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan: Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases. VLDB 1997: 446-455
Yasushi Ogawa: Effective & Efficient Document Ranking without using a Large Lexicon. VLDB 1996: 192-202

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