Probabilistic Document Indexing from Relevance Feedback Data.

Norbert Fuhr, Chris Buckley: Probabilistic Document Indexing from Relevance Feedback Data. SIGIR 1990: 45-61

@inproceedings{DBLP:conf/sigir/FuhrB90,
  author    = {Norbert Fuhr and
               Chris Buckley},
  editor    = {Jean-Luc Vidick},
  title     = {Probabilistic Document Indexing from Relevance Feedback Data},
  booktitle = {SIGIR'90, 13th International Conference on Research and Development
               in Information Retrieval, Brussels, Belgium, 5-7 September 1990,
               Proceedings},
  publisher = {ACM},
  year      = {1990},
  isbn      = {0-89791-408-2},
  pages     = {45-61},
  ee        = {db/conf/sigir/FuhrB90.html},
  crossref  = {DBLP:conf/sigir/90},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Based on the binary independence indexing model, we apply three new concepts for probabilistic document indexing from relevance feedback data:

Abstraction from specific terms and documents, which overcomes the restriction of limited relevance information for parameter estimation.
Flexibility of the representation, which allows the integration of new text analysis and knowledge-based methods in our approach as well as the consideration of more complex document structures or different types of terms (e.g. single words and noun phrases).
Probabilistic learning or classification methods for the estimation of the indexing weights making better use of the available relevance information.

We give experimental results for five test collections which show improvements over other indexing methods.

Copyright © 1990 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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BibTeX

Printed Edition

Jean-Luc Vidick (Ed.): SIGIR'90, 13th International Conference on Research and Development in Information Retrieval, Brussels, Belgium, 5-7 September 1990, Proceedings. ACM 1990, ISBN 0-89791-408-2
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Online Edition: ACM Digital Library

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Referenced by

Norbert Fuhr: A Probabilistic Framework for Vague Queries and Imprecise Information in Databases. VLDB 1990: 696-707

BibTeX

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