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Filtering Documents with Subspaces

  • Conference paper
Advances in Information Retrieval (ECIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5993))

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Abstract

We propose an approach to build a subspace representation for documents. This more powerful representation is a first step towards the development of a quantum-based model for Information Retrieval (IR). To validate our methodology, we apply it to the adaptive document filtering task.

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References

  1. van Rijsbergen, C.J.: The Geometry of Information Retrieval. Cambridge University Press, New York (2004)

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Author information

Authors and Affiliations

  1. Department of Computing Science, University of Glasgow, Glasgow, G12 8QQ, UK

    Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfeghi, Mounia Lalmas & Keith van Rijsbergen

Authors
  1. Benjamin Piwowarski
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  2. Ingo Frommholz
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  3. Yashar Moshfeghi
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  4. Mounia Lalmas
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  5. Keith van Rijsbergen
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Editor information

Editors and Affiliations

  1. Adaptive Information Cluster, Dublin City University, Dublin, 9, Ireland

    Cathal Gurrin

  2. The Open University, Walton Hall, MK7 6HF, Milton Keynes, UK

    Yulan He

  3. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai

  4. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Udo Kruschwitz

  5. The Open University, Walton Hall, Milton Keynes, UK

    Suzanne Little

  6. University of London, London, UK

    Thomas Roelleke

  7. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  8. Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK

    Keith van Rijsbergen

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© 2010 Springer-Verlag Berlin Heidelberg

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Piwowarski, B., Frommholz, I., Moshfeghi, Y., Lalmas, M., van Rijsbergen, K. (2010). Filtering Documents with Subspaces. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_60

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  • DOI: https://doi.org/10.1007/978-3-642-12275-0_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12274-3

  • Online ISBN: 978-3-642-12275-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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