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Enabling Interactive Query Expansion through Eliciting the Potential Effect of Expansion Terms

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Advances in Information Retrieval (ECIR 2010)

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

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Abstract

Despite its potential to improve search effectiveness, previous research has shown that the uptake of interactive query expansion (IQE) is limited. In this paper, we investigate one method of increasing the uptake of IQE by displaying summary overviews that allow searchers to view the impact of their expansion decisions in real time, engage more with suggested terms, and support them in making good expansion decisions. Results from our user studies show that searchers use system-generated suggested terms more frequently if they know the impact of doing so on their results. We also present evidence that the usefulness of our proposed IQE approach is highest when searchers attempt unfamiliar or difficult information seeking tasks. Overall, our work presents strong evidence that searchers are more likely to engage with suggested terms if they are supported by the search interface.

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References

  1. Anick, P.: Using Terminological Feedback for Web Search Refinement – A Log-based Study. In: Proceedings of the 26th ACM SIGIR Conference, pp. 88–95. ACM Press, New York (2003)

    Google Scholar 

  2. Araya, J.E.: Interactive query formulation and feedback experiments in information retrieval, PhD thesis, Cornell University, Ithaca, New York (1990)

    Google Scholar 

  3. Beaulieu, M.: Experiments with interfaces to support query expansion. Journal of Documentation 53, 8–19 (1997)

    Article  Google Scholar 

  4. Blocks, D., Binding, C., Cunliffe, D., Tudhope, D.: Qualitative evaluation of thesaurus-based retrieval. In: Agosti, M., Thanos, C. (eds.) ECDL 2002. LNCS, vol. 2458, pp. 346–361. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Fowkes, H., Beaulieu, M.: Interactive searching behaviour: Okapi experiment for TREC-8. In: Proceedings of the IRSG 2000 Colloquium on IR Research (2000)

    Google Scholar 

  6. Hancock-Beaulieu, M., Fieldhouse, M., Do, T.: An evaluation of interactive query expansion in an online library catalogue with a graphical user interface. Journal of Documentation 51(3), 225–243 (1995)

    Article  Google Scholar 

  7. Beaulieu, M., Jones, S.: Interactive searching and interface issues in the Okapi best match probabilistic retrieval system. Interacting with Computers 10(3), 237–248 (1998)

    Article  Google Scholar 

  8. Harman, D.: Towards Interactive Query Expansion. In: Proceedings of the 11thACM SIGIR Conference, pp. 321–331. ACM Press, New York (1988)

    Google Scholar 

  9. Kelly, D., Cool, C.: The effects of topic familiarity on information search behaviour. In: Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 74–75. ACM Press, New York (2002)

    Google Scholar 

  10. Kelly, D., Gyllstrom, K., Bailey, E.W.: A Comparison of Query and Term Suggestion Features for Interactive Searching. In: Proceedings of the 32nd ACM SIGIR Conference, pp. 371–378. ACM Press, New York (2009)

    Google Scholar 

  11. Koenemann, J., Belkin, N.J.: A case for interaction: a study of interactive information retrieval behaviour and effectiveness. In: Proceedings of the Human Factors in Computing Systems Conference (CHI 1996), pp. 205–212 (1996)

    Google Scholar 

  12. Magennis, M., van Rijsbergen, C.J.: The Potential and Actual Effectiveness of Interactive Query Expansion. In: Proceedings of the 20th ACM SIGIR Conference, pp. 324–332. ACM Press, New York (1997)

    Google Scholar 

  13. Robertson, S.E.: On term selection for query expansion. Journal of Documentation 46(4), 359–364 (1990)

    Article  Google Scholar 

  14. Ruthven, I.: Re-examining the Potential Effectiveness of Interactive Query Expansion. In: Proceedings of the 26th ACM SIGIR Conference, pp. 213–220. ACM Press, New York (2003)

    Google Scholar 

  15. Tombros, A., Sanderson, M.: The Advantages of Query Biased Summaries in Information Retrieval. In: Proceedings of the 21st ACM SIGIR Conference, pp. 2–10. ACM Press, New York (1998)

    Google Scholar 

  16. Voorhees, E.M., Harman, D.: Overview of the Fifth Text REtrieval Conference (TREC-5). In: Proceedings of Text Retrieval Conference, TREC-5 (1995)

    Google Scholar 

  17. White, R.W., Marchionini, G.: Examining the effectiveness of real time query expansion. Information Processing and Management 43(3), 685–704 (2006)

    Article  Google Scholar 

  18. White, R.W., Ruthven, I., Joemon, J.M.: Finding Top Relevant Documents using Top Ranking Sentences: An Evaluation of Two Alternative Scheme. In: Proceedings of the 25th ACM SIGIR Conference, pp. 57–64. ACM Press, New York (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK

    Nuzhah Gooda Sahib & Anastasios Tombros

  2. Department of Computer and Information Sciences, University of Strathclyde, Glasgow, G1 1XQ, UK

    Ian Ruthven

Authors
  1. Nuzhah Gooda Sahib
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  2. Anastasios Tombros
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  3. Ian Ruthven
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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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Gooda Sahib, N., Tombros, A., Ruthven, I. (2010). Enabling Interactive Query Expansion through Eliciting the Potential Effect of Expansion Terms. 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_46

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  • DOI: https://doi.org/10.1007/978-3-642-12275-0_46

  • 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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