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Combining Page Scores for XML Book Retrieval

  • Conference paper
Comparative Evaluation of Focused Retrieval (INEX 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6932))

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Abstract

In the 2010 INEX Evaluation UC Berkeley participated only in the Book track, and specifically the “Best Books to Reference” task that seeks to produce a list of the “best books” for a topic. This year we wanted to compare our best performing method from last year with approaches that combine the scores obtained by ranking at the page level to arrive at the ranking for a book. We tested a number of combinations for this approach, and were able to obtain the top score for the “Best Books” task.

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Author information

Authors and Affiliations

  1. School of Information, University of California, 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, Qld 4001, Brisbane, Australia

    Shlomo Geva

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

    Jaap Kamps

  3. Multimodal Computing and Interaction, Saarland University, 66123, Saarbrücken, Germany

    Ralf Schenkel

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

    Andrew Trotman

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Larson, R.R. (2011). Combining Page Scores for XML Book Retrieval. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_13

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  • DOI: https://doi.org/10.1007/978-3-642-23577-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23576-4

  • Online ISBN: 978-3-642-23577-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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