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Building a Diversity Featured Search System by Fusing Existing Tools

  • Jiayu Tang
  • Thomas Arni
  • Mark Sanderson
  • Paul Clough
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

This paper describes a diversity featured retrieval system which is built for the task of ImageCLEFPhoto 2008. Two existing tools are used: Solr and Carrot2. We have experimented with different settings of the system to see how the performance changes. The results suggest that the system can indeed increase diversity of the retrieved results, without sacrificing too much of the precision.

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References

  1. 1.
    Apache lucene project, http://lucene.apache.org (Visited 23/07/08)
  2. 2.
    Apache solr project, http://lucene.apache.org/solr/index.html (Visited 23/07/08)
  3. 3.
    Carrot2 project, http://project.carrot2.org/ (Visited 23/07/08)
  4. 4.
    Arni, T., Clough, P., Sanderson, M., Grubinger, M.: Overview of the ImageCLEFphoto 2008 photographic retrieval task. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 500–511. Springer, Heidelberg (2009)Google Scholar
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    Osinski, S., Stefanowski, J., Weiss, D.: Lingo: Search results clustering algorithm based on singular value decomposition. In: Proceedings of the International Conference on Intelligent Information Systems, Zakopane, Poland, pp. 359–368 (2004)Google Scholar
  6. 6.
    Zhai, C.X., Cohen, W.W., Lafferty, J.: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, Toronto, Canada, pp. 10–17 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jiayu Tang
    • 1
  • Thomas Arni
    • 1
  • Mark Sanderson
    • 1
  • Paul Clough
    • 1
  1. 1.Department of Information StudiesUniversity of SheffieldUK

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