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Probabilistic Local Expert Retrieval

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Book cover Advances in Information Retrieval (ECIR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9626))

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Abstract

This paper proposes a range of probabilistic models of local expertise based on geo-tagged social network streams. We assume that frequent visits result in greater familiarity with the location in question. To capture this notion, we rely on spatio-temporal information from users’ online check-in profiles. We evaluate the proposed models on a large-scale sample of geo-tagged and manually annotated Twitter streams. Our experiments show that the proposed methods outperform both intuitive baselines as well as established models such as the iterative inference scheme.

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Author information

Authors and Affiliations

  1. University College London, WC1E 6BT, London, UK

    Wen Li

  2. Department of Computer Science, ETH Zurich, Zurich, Switzerland

    Carsten Eickhoff

  3. Faculty of Science, Radboud University, 6525 EC, Nijmegen, The Netherlands

    Arjen P. de Vries

Authors
  1. Wen Li
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  2. Carsten Eickhoff
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  3. Arjen P. de Vries
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Corresponding author

Correspondence to Wen Li .

Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Padova, Italy

    Nicola Ferro

  2. Faculty of Informatics, University of Lugano (USI), Lugano, Switzerland

    Fabio Crestani

  3. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  4. Systèmes d’informations, Big Data et Recherche d’Information, Institut de Recherche en Informatique de Toulouse IRIT/équipe SIG, Toulouse Cedex 04, France

    Josiane Mothe

  5. Yahoo! Labs London, London, UK

    Fabrizio Silvestri

  6. Department of Information Engineering, University of Padua, Padova, Italy

    Giorgio Maria Di Nunzio

  7. TU Delft - EWI/ST/WIS, Delft, The Netherlands

    Claudia Hauff

  8. Department of Information Engineering, University of Padua, Padova, Italy

    Gianmaria Silvello

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© 2016 Springer International Publishing Switzerland

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Li, W., Eickhoff, C., de Vries, A.P. (2016). Probabilistic Local Expert Retrieval. In: Ferro, N., et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-30671-1_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30670-4

  • Online ISBN: 978-3-319-30671-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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