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Some(what) grand challenges for information retrieval

Published: 01 June 2008 Publication History

Abstract

Although we see the positive results of information retrieval research embodied throughout the Internet, on our computer desktops, and in many other aspects of daily life, at the same time we notice that people still have a wide variety of difficulties in finding information that is useful in resolving their problematic situations. This suggests that there still remain substantial challenges for research in IR. Already in 1988, on the occasion of receiving the ACM SIGIR Gerard Salton Award, Karen Spärck Jones suggested that substantial progress in information retrieval was likely only to come through addressing issues associated with users (actual or potential) of IR systems, rather than continuing IR research's almost exclusive focus on document representation and matching and ranking techniques. In recent years it appears that her message has begun to be heard, yet we still have relatively few substantive results that respond to it. In this paper, I identify and discuss a few challenges for IR research which fall within the scope of association with users, and which I believe, if properly addressed, are likely to lead to substantial increases in the usefulness, usability and pleasurability of information retrieval.

References

[1]
Arapakis, I. & Jose, J. (2008) Affective Feedback: An investigation of the role of emotions during an information seeking process. In SIGIR 2008. Proceedings of the 31st Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (in press). New York: ACM.
[2]
Borlund, P. (2003). The IIR Evaluation Model: a Framework for Evaluation of Interactive Information Retrieval Systems. In: Information Research, vol. 8, no. 3, paper no. 152. {Available at: http://informationr.net/ir/8-3/paper152.html}
[3]
Budzik, J. and Hammond, K. J. (2000) User Interactions with Everyday Applications as Context for Just-in-Time Information Access. In IUI 2000, ACM Conference on Intelligent User Interfaces (pp. 44--51). New York: ACM.
[4]
Cool, C. & Belkin, N. J. (2002). A classification of interactions with information. In Proceedings of the Fourth International Conference on Conceptions of Library and Information Science (pp. 1--15). Greenwood Village, CO: Libraries Unlimited.
[5]
Fuhr, N. (2008) A probability ranking principle for interactive information retrieval. Information Retrieval, v. 11: 251--265.
[6]
Ingwersen, P. & Jäärvelin, K. (2005). The turn. Integration of information seeking and retrieval in context. Dordrecht: Springer.
[7]
Järvelin, K., Price, S. L., Delcambre, L. M. L. & Nielsen, M. L. Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions. In ECIR 2008, Proceedings of the 2008 European Conference on Information Retrieval (pp. 4--15). Berlin: Springer Verlag.
[8]
Kelly, D. (2005). Implicit feedback: Using behavior to infer relevance. In A. Spink and C. Cole (Eds.) New Directions in Cognitive Information Retrieval (pp. 169--186). Berlin: Springer Verlag.
[9]
Kelly, D. & Belkin, N. J. (2004). Display time as implicit feedback: Understanding task effects. In SIGIR 2004, Proceedings of the 27th Annual ACM International Conference on Research and Development in Information Retrieval (pp. 377--384). New York: ACM.
[10]
Kelly, D. & Teevan, J. (2003). Implicit feedback for inferring user preference: A bibliography. SIGIR Forum, 37(2), 18--28.
[11]
Kuhlthau, C. C. (1991). Inside the search process: information seeking from the user's perspective. Journal of the American Society for Information Science, 42, 361--371.
[12]
Nahl, D. & Bilal, D. eds (2007) Information and emotion: The Emergent Affective Paradigm in Information Behavior Research and Theory. Medford, NJ: Information Today for ASIST.
[13]
Olston, C. & Chi, Ed H. (2003). ScentTrails: Integrating browsing and searching on the web. ACM Tarnsactions on Computer-Human Interaction, 10(3), 177--197.
[14]
Robertson, S. E. & Hancock-Beaulieu, M. (1992) On the evaluation of IR systems. Information Processing and Management, v. 28(4): 457--466.
[15]
Saracevic, T (1997) Users lost: reflections of the past, future and limits of information science. SIGIR Forum, 31, 2: 16--27.
[16]
Spärck Jones, K. (1988) A look back and a look forward. In: SIGIR '88. Proceedings of the 11th Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (pp. 13--29). New York: ACM.
[17]
Spärck Jones, K. (2005). Meta-reflections on TREC. In E. M. Voorhees & D. K. Harman (Eds.) TREC: Experiment and Evaluation in Information Retrieval (pp. 421--448). Cambridge, MA: MIT Press.
[18]
Teevan, J., Dumais, S. T. & Liebling, D. J. (2008) To personalize or not to personalize. In< SIGIR 2008. Proceedings of the 31st Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (in press). New York: ACM.
[19]
Turpin, A. H. & Hersh, W. (2001) Why batch and user evaluations do not give the same results. In SIGIR 2001, Proceedings of the 24th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 225--231). New York: ACM.
[20]
Turpin, A. & Scholer, F. (2006) User performance versus precision measures for simple search tasks. In SIGIR 2006, Proceedings of the 29th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 11--18). New York: ACM.
[21]
White, R. W. & Kelly, D. (2006). A study on the effects of personalization and task information on implicit feedback performance. In CIKM '06, Conference on Information and Knowledge Management (pp.). New York: ACM.

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    cover image ACM SIGIR Forum
    ACM SIGIR Forum  Volume 42, Issue 1
    June 2008
    76 pages
    ISSN:0163-5840
    DOI:10.1145/1394251
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 June 2008
    Published in SIGIR Volume 42, Issue 1

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