Automatic Combination of Multiple Ranked Retrieval Systems.

Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew: Automatic Combination of Multiple Ranked Retrieval Systems. SIGIR 1994: 173-181

@inproceedings{DBLP:conf/sigir/BartellCB94,
  author    = {Brian T. Bartell and
               Garrison W. Cottrell and
               Richard K. Belew},
  editor    = {W. Bruce Croft and
               C. J. van Rijsbergen},
  title     = {Automatic Combination of Multiple Ranked Retrieval Systems},
  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     = {173-181},
  ee        = {db/conf/sigir/BartellCB94.html},
  crossref  = {DBLP:conf/sigir/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Retrieval performance can often be improved significantly by using a number of different retrieval algorithms and combining the results, in contrast to using just a single retriewd algorithm. This is because different retrieval algorithms, or retrieval esperts, often emphasize different document and query features when determining relevance and therefore retrieve different sets of documents. However, it is unclear how the different experts areto recombined, in general, to yield a superior overall estimate. We propose a method by which the relevance estimates made by different experts can be automatically combined to result in superior retrieval performance. We apply the method to two expert combination tasks. The applications demonstrate that the method can identify high performance combinations of experts and also is a novel means for determining the combined effectiveness of experts.

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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BibTeX

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

William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
Joon Ho Lee: Combining Multiple Evidence from Different Relevant Feedback Networks. DASFAA 1997: 421-430

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