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Modeling User Actions in Job Search

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Book cover Advances in Information Retrieval (ECIR 2019)

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Abstract

Users of online job search tools interact with result pages in three different ways: via impressions, via clicks, and via applications. We investigate the relationship between these three kinds of interaction using logs provided by Seek.com, an Australian-based job search service. Our focus is on understanding the extent to which the three interaction types can be used to predict each other. In particular we examine models for inferring impressions from clicks, thereby providing system designers with new options for evaluating search result pages.

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Acknowledgment

This work was supported by the Australian Research Council’s Linkage Projects scheme (project number LP150100252) and by Seek.com.

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Authors and Affiliations

  1. School of Computing and Information Systems, The University of Melbourne, Melbourne, 3010, Australia

    Alfan Farizki Wicaksono, Alistair Moffat & Justin Zobel

Authors
  1. Alfan Farizki Wicaksono
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  2. Alistair Moffat
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  3. Justin Zobel
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Corresponding author

Correspondence to Alfan Farizki Wicaksono .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Leif Azzopardi

  2. Bauhaus Universität Weimar, Weimar, Germany

    Benno Stein

  3. Universität Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  4. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  5. Delft University of Technology, Delft, The Netherlands

    Claudia Hauff

  6. University of Twente, Enschede, The Netherlands

    Djoerd Hiemstra

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Wicaksono, A.F., Moffat, A., Zobel, J. (2019). Modeling User Actions in Job Search. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11437. Springer, Cham. https://doi.org/10.1007/978-3-030-15712-8_42

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  • DOI: https://doi.org/10.1007/978-3-030-15712-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15711-1

  • Online ISBN: 978-3-030-15712-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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