Adaptive search suggestions for digital libraries

  • Authors:
  • Sascha Kriewel;Norbert Fuhr

  • Affiliations:
  • University of Duisburg-Essen;University of Duisburg-Essen

  • Venue:
  • ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
  • Year:
  • 2007

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Abstract

In this paper, an adaptive tool for providing suggestions during the information search process is presented. The tool uses case-based reasoning techniques to find the most useful suggestions for a given situation by comparing them to a case base of previous situations and adapting the solution. The tool can learn from user participation. A small, preliminary evaluation showed a high acceptance of the tool, even if improvements are still needed.