ICADL 2007 - LNCS 4822

Adaptive Search Suggestions for Digital Libraries

Sascha Kriewel and Norbert Fuhr

University of Duisburg-Essen

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.

LNCS 4822, p. 220 ff.

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