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Improving Aggregated Search Coherence

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Advances in Information Retrieval (ECIR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9022))

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Abstract

Aggregated search is that task of blending results from different search services, or verticals, into the core web results. Aggregated search coherence is the extent to which results from different sources focus on similar senses of an ambiguous or underspecified query. Prior research studied the effect of aggregated search coherence on search behavior and found that the query-senses in the vertical results can affect user interaction with the web results. In this work, we develop and evaluate algorithms for vertical results selection—deciding which results from a particular vertical to display. Results from a large-scale user study suggest that algorithms that improve the level of coherence between the vertical and web results influence users to make more productive decisions with respect to the web results—to engage with the web results when at least one of them is relevant and, to a lesser extent, to avoid engaging with the web results otherwise.

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Author information

Authors and Affiliations

  1. University of North Carolina at Chapel Hill, USA

    Jaime Arguello

Authors
  1. Jaime Arguello
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Editor information

Editors and Affiliations

  1. Vienna University of Technology, Institute of Software Technology and Interactive Systems, FavoritenstraĂźe 9-11/188, 1040, Vienna, Austria

    Allan Hanbury

  2. Lumi, Semion Ltd., 111 Charterhouse Street, EC1M 6AW, London, UK

    Gabriella Kazai

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, FavoritenstraĂźe 9-11/188, 1040, Vienna, Austria

    Andreas Rauber

  4. Universität Duisburg-Essen, Lotharstraße 65, 47057, Duisburg, Germany

    Norbert Fuhr

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© 2015 Springer International Publishing Switzerland

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Arguello, J. (2015). Improving Aggregated Search Coherence. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-16354-3_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16353-6

  • Online ISBN: 978-3-319-16354-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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