Skip to main content
SpringerLink
Log in

Colouring the Dimensions of Relevance

  • Conference paper
Advances in Information Retrieval (ECIR 2010)

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

Included in the following conference series:

Abstract

In this article we introduce a visualisation technique for analysing relevance and interaction data. It allows the researcher to quickly detect emerging patterns in both interactions and relevance criteria usage. The concept of “relevance criteria profile”, which provides a global view of user behaviour in judging the relevance of the retrieved information, is developed. We discuss by example, using data from a live search user study, how these tools support the data analysis.

This research is funded in part by EPSRC Autoadapt project, grant no: EP/F035705/1.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barry, C.L.: User-defined relevance criteria: an exploratory study. Journal of the American Society for Information Science 45(3), 149–159 (1994)

    Article  Google Scholar 

  2. Barry, C.L., Schamber, L.: Users criteria for relevance evaluation: A cross-situational comparison. Information Processing and Management 34(2-3), 219–236 (1998)

    Article  Google Scholar 

  3. Borlund, P.: The IIR evaluation model: a framework for evaluation of interactive information retrieval systems. Information Research 8(3), 8–3 (2003)

    Google Scholar 

  4. Schamber, L.: Users’criteria for evaluation in a multimedia environment. In: Proceedings of the 54 Annual Meeting of the American Society for Information Science, vol. 28, pp. 126–133 (1991)

    Google Scholar 

  5. Ware, C.: Color sequences for univariate maps: Theory, experiments and principles. IEEE Computer Graphics and Applications 8(5), 41–49 (1988)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing, The Robert Gordon University,  

    Ulises Cerviño Beresi, Yunhyong Kim & Dawei Song

  2. Department of Computer and Information Sciences, The Strathclyde University,  

    Mark Baillie & Ian Ruthven

Authors
  1. Ulises Cerviño Beresi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yunhyong Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mark Baillie
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ian Ruthven
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dawei Song
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cerviño Beresi, U., Kim, Y., Baillie, M., Ruthven, I., Song, D. (2010). Colouring the Dimensions of Relevance. 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_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12275-0_49

  • 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)

Publish with us

Policies and ethics

Search

Navigation