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A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval

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Advances in Information Retrieval (ECIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5993))

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Abstract

Over the last two decades, Interactive Information Retrieval (IIR) has established a new direction within the long tradition of IR that introduces the user at its center and poses new challenges for system evaluation. IR systems can improve performance by utilizing information about the entire interactive process of search. This approach has so far only been initially explored [1,2] with much potential for the future. This demonstration describes an extensible data analysis and modelling framework that enables researchers to integrate, explore and analyze interactive experiment data obtained from task-based IIR experiments and build and test models of interactive user behavior.

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References

  1. Belkin, N.: Keynote: Some(what) Grand Challenges for Information Retrieval. In: 30th European Conference on Information Retrieval Research. Glasgow, Scotland (2008)

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  2. Belkin, N., Bierig, R., Buscher, G., Van Elst, L., Gwizdka, J., Jose, J., Teevan, J.: Workshop on Understanding the User. In: 32nd Annual ACM SIGIR Conference, Boston, USA (2009)

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Author information

Authors and Affiliations

  1. School of Communication and Information, Rutgers University, USA

    Ralf Bierig, Michael Cole, Jacek Gwizdka & Nicholas J. Belkin

Authors
  1. Ralf Bierig
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  2. Michael Cole
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  3. Jacek Gwizdka
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  4. Nicholas J. Belkin
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Editor information

Editors and Affiliations

  1. Adaptive Information Cluster, Dublin City University, Dublin, 9, Ireland

    Cathal Gurrin

  2. The Open University, Walton Hall, MK7 6HF, Milton Keynes, UK

    Yulan He

  3. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai

  4. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Udo Kruschwitz

  5. The Open University, Walton Hall, Milton Keynes, UK

    Suzanne Little

  6. University of London, London, UK

    Thomas Roelleke

  7. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  8. Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK

    Keith van Rijsbergen

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bierig, R., Cole, M., Gwizdka, J., Belkin, N.J. (2010). A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_76

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  • DOI: https://doi.org/10.1007/978-3-642-12275-0_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12274-3

  • Online ISBN: 978-3-642-12275-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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