skip to main content
10.1145/1529282.1529418acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
research-article

Implicit relevance feedback for context-aware information retrieval in UbiLearning environments

Published: 08 March 2009 Publication History

Abstract

Ubiquitous Learning (UbiLearning) environments heavily employ mobile devices to empower users with mobility and tooling support to learn anytime, anywhere. Introducing mobile devices in educational settings imposes constraints on search behavior due to limited resources on these devices such as small screens and restricted input functionalities. Targeting this scenario, this paper proposes an architecture for implicit relevance feedback which considers users' work context to expand search queries in order to satisfy information needs with greater precision. Evaluation results conducted over a local test collection enriched with contextual features reveal improvements on average precision when compared to a pseudo relevance feedback baseline.

References

[1]
R. Baeza-Yates and B. R. Neto. Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., 1999.
[2]
A. Dey. Understanding and Using Context. Personal and Ubiquitous Computing, 5(1): 4--7, 2001.
[3]
L. Freund and E. G. Toms. Contextual search: from information behaviour to information retrieval. Proc. of the Conference of the Canadian Assoc. for Inf. Science, 2005.
[4]
N. Hernandez, J. Mothe, C. Chrisment, and D. Egret. Modeling context through domain ontologies. Information Retrieval, V10(2): 143--172, April 2007.
[5]
P. Ingwersen and K. Järvelin. The Turn: Integration of Information Seeking and Retrieval in Context. Kluwer Academic Pub, 2005.
[6]
Jansen, Bernard J. and Pooch, Udo. A review of web searching studies and a framework for future research. Journal of the Am. Soc. on Inf. Science and Tech., 52(3): 235--246, February 2001.
[7]
S. Jung, J. L. Herlocker, and J. Webster. Click data as implicit relevance feedback in web search. Information Processing and Management, 43(3): 791--807, May 2007.
[8]
J. Kolodner. Case-based reasoning. Morgan Kaufmann Publishers Inc., 1993.
[9]
D. S. Martins, L. H. Z. Santana, M. Biajiz, A. F. Prado, and W. L. Souza. Context-aware information retrieval on a ubiquitous medical learning environment. In SAC '08: Proc. of the 2008 ACM Symp. on Applied Computing, pages 2348--2349, New York, NY, USA, 2008. ACM.
[10]
H. Ogata and Y. Yano. Context-Aware Support for Computer-Supported Ubiquitous Learning. In Proc. of the 2nd IEEE Int. Work. on Wireless and Mobile Tech. in Education (WMTE'04), page 27. IEEE Computer Society, 2004.
[11]
R. Redon, A. Larsson, R. Leblond, and B. Longueville. Vivace context based search platform. Modeling and Using Context, pages 397--410, 2007.
[12]
I. Ruthven and M. Lalmas. A Survey on the Use of Relevance Feedback for Information Access Systems. Knowledge Engeneering Review, 18(2): 95--145, 2003.
[13]
X. Shen, B. Tan, and C. Zhai. Context-sensitive information retrieval using implicit feedback. In SIGIR '05: Proc. of the 28th ACM SIGIR Conf. on Research and Development in Inf. Retrieval, pages 43--50. ACM Press, 2005.
[14]
J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In SIGIR '05: Proceedings of the 28th ACM SIGIR Conf. on Research and Development in Inf. Retrieval, pages 449--456. ACM Press, 2005.

Index Terms

  1. Implicit relevance feedback for context-aware information retrieval in UbiLearning environments

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing
      March 2009
      2347 pages
      ISBN:9781605581668
      DOI:10.1145/1529282
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 08 March 2009

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. context-awareness
      2. information retrieval
      3. query expansion
      4. ubiquitous learning

      Qualifiers

      • Research-article

      Conference

      SAC09
      Sponsor:
      SAC09: The 2009 ACM Symposium on Applied Computing
      March 8, 2009 - March 12, 2008
      Hawaii, Honolulu

      Acceptance Rates

      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

      Upcoming Conference

      SAC '25
      The 40th ACM/SIGAPP Symposium on Applied Computing
      March 31 - April 4, 2025
      Catania , Italy

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 252
        Total Downloads
      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 03 Mar 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media