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Ranking and Fusion Approaches for XML Book Retrieval

  • Conference paper
Focused Retrieval and Evaluation (INEX 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6203))

Abstract

For INEX 2009 UC Berkeley focused on the Book track and all of our submissions were for that track. We tried a variety of different approaches for our Book Track runs, the TREC2 logistic regression probabilistic model used in previous INEX Book Track submissions as well as various fusion approaches including use of the Okapi BM-25 algorithm. This paper focusses on the approaches used in the various runs submitted, and shows the preliminary results from the book search evaluation.

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Author information

Authors and Affiliations

  1. School of Information, University of California, Berkeley, Berkeley, California, USA, 94720-4600

    Ray R. Larson

Authors
  1. Ray R. Larson
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology, GPO Box 2434, 4001, Brisbane, Qld, Australia

    Shlomo Geva

  2. Archives and Information Studies/Humanities, University of Amsterdam, Turfdraagsterpad 9, 1012 XT, Amsterdam, The Netherlands

    Jaap Kamps

  3. Department of Computer Science, University of Otago, P.O. Box 56,, 9054, Dunedin, New Zealand

    Andrew Trotman

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Larson, R.R. (2010). Ranking and Fusion Approaches for XML Book Retrieval. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-14556-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14555-1

  • Online ISBN: 978-3-642-14556-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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