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

  • Eugene Santos
  • Hien Nguyen
  • Qunhua Zhao
  • Erik Pukinskis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2702)

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.

Keywords

Information Retrieval Query Graph System Response Time Adaptive User Comprehensive Methodology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Eugene Santos
    • 1
  • Hien Nguyen
    • 1
  • Qunhua Zhao
    • 1
  • Erik Pukinskis
    • 1
  1. 1.Computer Science and Engineering DepartmentUniversity of ConnecticutStorrs

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