Learning Collection Fusion Strategies.

Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird: Learning Collection Fusion Strategies. SIGIR 1995: 172-179

@inproceedings{DBLP:conf/sigir/VoorheesGJ95,
  author    = {Ellen M. Voorhees and
               Narendra Kumar Gupta and
               Ben Johnson-Laird},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Learning Collection Fusion Strategies},
  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     = {172-179},
  ee        = {db/conf/sigir/VoorheesGJ95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Collection fusion is a data fusion problem in which the results of retrieval runs on separate, autonomous document collections must be merged to produce a single, effective result. This paper explores two collection fusion techniques that learn the number of documents to retrieve from each collection using only the ranked lists of documents returned in response to past queries and those documents' relevance judgments. Retrieval experiments using the TREC test collection demonstrate that the effectiveness of the fusion techniques is within 10% of the effectiveness of a run in which the entire set of documents is treated as a single collection.

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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BibTeX

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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Referenced by

James P. Callan, Margaret E. Connell, Aiqun Du: Automatic Discovery of Language Models for Text Databases. SIGMOD Conference 1999: 479-490
Weiyi Meng, King-Lup Liu, Clement T. Yu, Xiaodong Wang, Yuhsi Chang, Naphtali Rishe: Determining Text Databases to Search in the Internet. VLDB 1998: 14-25

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