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On Clustering and Polyrepresentation

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Advances in Information Retrieval (ECIR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8416))

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Abstract

Polyrepresentation is one of the most prominent principles in a cognitive approach to interactive information seeking and retrieval. When it comes to interactive retrieval, clustering is another method for accessing information. While polyrepresentation has been explored and validated in a scenario where a system returns a ranking of documents, so far there are no insights if and how polyrepresentation and clustering can be combined. In this paper we discuss how both are related and present an approach to integrate polyrepresentation into clustering. We further report some initial evaluation results.

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Author information

Authors and Affiliations

  1. Institute for Research in Applicable Computing, University of Bedfordshire, UK

    Ingo Frommholz & Muhammad Kamran Abbasi

Authors
  1. Ingo Frommholz
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  2. Muhammad Kamran Abbasi
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Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Maarten de Rijke  & Tom Kenter  & 

  2. Centrum Wiskunde en Informatica, Amsterdam, The Netherlands and Delft University of Technology, Delft, The Netherlands

    Arjen P. de Vries

  3. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    ChengXiang Zhai

  4. University of Twente, Twente, The Netheralnds and Erasmus University Rotterdam, Rotterdam, The Netherlands

    Franciska de Jong

  5. SalesPredict, Haifa, Israel

    Kira Radinsky

  6. Microsoft Research, Cambridge, UK

    Katja Hofmann

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© 2014 Springer International Publishing Switzerland

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Frommholz, I., Abbasi, M.K. (2014). On Clustering and Polyrepresentation. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_66

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  • DOI: https://doi.org/10.1007/978-3-319-06028-6_66

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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