Modeling User Actions in Job Search

  • Alfan Farizki WicaksonoEmail author
  • Alistair Moffat
  • Justin Zobel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11437)


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, 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.



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


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computing and Information SystemsThe University of MelbourneMelbourneAustralia

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