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Designing Human-Readable User Profiles for Search Evaluation

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Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

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Abstract

Forming an accurate mental model of a user is crucial for the qualitative design and evaluation steps of many information-centric applications such as web search, content recommendation, or advertising. This process can often be time-consuming as search and interaction histories become verbose. In this work, we present and analyze the usefulness of concise human-readable user profiles in order to enhance system tuning and evaluation by means of user studies.

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References

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Author information

Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Carsten Eickhoff

  2. Microsoft Research, Redmond, USA

    Kevyn Collins-Thompson, Paul Bennett & Susan Dumais

Authors
  1. Carsten Eickhoff
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  2. Kevyn Collins-Thompson
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  3. Paul Bennett
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  4. Susan Dumais
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Editor information

Editors and Affiliations

  1. Yandex, Leo Tolstoy, 16, 119021, Moscow, Russia

    Pavel Serdyukov  & Ilya Segalovich  & 

  2. Kontur Labs and Ural Federal University, Fonvizina 3-27, 620078, Yekaterinburg, Russia

    Pavel Braslavski

  3. National Research University Higher School of Economics (HSE), Pokrovskii bd 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  4. University of Amsterdam, Turfdraagsterpad 9, 1012 XT, Amsterdam, The Netherlands

    Jaap Kamps

  5. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Mathematics & Computer Science Department, Emory University, 400 dowman Drive, 30329, Atlanta, GA, USA

    Eugene Agichtein

  7. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Emine Yilmaz

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Eickhoff, C., Collins-Thompson, K., Bennett, P., Dumais, S. (2013). Designing Human-Readable User Profiles for Search Evaluation. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_64

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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