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Enhancing Expert Finding Using Organizational Hierarchies

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Advances in Information Retrieval (ECIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5478))

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Abstract

The task in expert finding is to identify members of an organization with relevant expertise on a given topic. In existing expert finding systems, profiles are constructed from sources such as email or documents, and used as the basis for expert identification. In this paper, we leverage the organizational hierarchy (depicting relationships between managers, subordinates, and peers) to find members for whom we have little or no information. We propose an algorithm to improve expert finding performance by considering not only the expertise of the member, but also the expertise of his or her neighbors. We show that providing this additional information to an expert finding system improves its retrieval performance.

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Author information

Authors and Affiliations

  1. University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

    Maryam Karimzadehgan

  2. Microsoft Research, One Microsoft Way, Redmond, WA 98052, USA

    Ryen W. White & Matthew Richardson

Authors
  1. Maryam Karimzadehgan
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  2. Ryen W. White
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  3. Matthew Richardson
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Editor information

Editors and Affiliations

  1. Université de Toulouse - IRIT,, 118 Route de Narbonne,, 31062,, Toulouse Cedex 4,, France

    Mohand Boughanem

  2. Laboratoire d’Informatique de Grenoble, BP 53,, Université Joseph Fourier,, 38041, Grenoble Cedex 9,, France

    Catherine Berrut

  3. Université de Toulouse - IRIT,, 118 Route de Narbonne,, 31062, Toulouse Cedex 4,, France

    Josiane Mothe  & Chantal Soule-Dupuy  & 

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Karimzadehgan, M., White, R.W., Richardson, M. (2009). Enhancing Expert Finding Using Organizational Hierarchies. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-00958-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00957-0

  • Online ISBN: 978-3-642-00958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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