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Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application

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User Modeling 2003 (UM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2702))

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Abstract

A comprehensive methodology for evaluating a user model presents challenges in choosing metrics and in assessing usefulness from both user and system perspectives. In this paper, we describe such a methodology and use it to assess the effectiveness of an adaptive user model embedded in a medical information retrieval. We demonstrate that the user model helps to improve the retrieval quality without degrading the system performance and identify usability problems overlooked in the user model architecture. Empirical data help us in analyzing drawbacks in our user model and develop solutions.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, University of Connecticut, 191 Auditorium Road, U-155, Storrs, CT, 06269-3155

    Eugene Santos, Hien Nguyen, Qunhua Zhao & Erik Pukinskis

Authors
  1. Eugene Santos
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  2. Hien Nguyen
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  3. Qunhua Zhao
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  4. Erik Pukinskis
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Editor information

Editors and Affiliations

  1. School of Information Sciences, Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Human Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Albert Corbett

  3. Intelligent Interfaces, Department of Informatics, University of Bari, Via Orabona 4, 70126, Bari, Italy

    Fiorella de Rosis

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© 2003 Springer-Verlag Berlin Heidelberg

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Santos, E., Nguyen, H., Zhao, Q., Pukinskis, E. (2003). Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_39

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  • DOI: https://doi.org/10.1007/3-540-44963-9_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40381-4

  • Online ISBN: 978-3-540-44963-8

  • eBook Packages: Springer Book Archive

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