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Probability Kinematics in Information Retrieval.

Fabio Crestani, C. J. van Rijsbergen: Probability Kinematics in Information Retrieval. SIGIR 1995: 291-299
@inproceedings{DBLP:conf/sigir/CrestaniR95,
  author    = {Fabio Crestani and
               C. J. van Rijsbergen},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Probability Kinematics in Information Retrieval},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {291-299},
  ee        = {db/conf/sigir/CrestaniR95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In this paper we discuss the dynamics of probabilistic term weights in different IR retrieval models. We present four different models based on different notions of retrieval. Two of these models are classical probabilistic models long in use in IR, the two others are based on a logical technique of evaluating the probability of a conditional called Imaging, one is a generalisation of the other. We aualyse the transfer of probabilities occuring in the representation space at retrieval time for these four models, compare their retrieval performance using classical test collections, and discuss the results.

Copyright © 1995 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

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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