ICADL 2007 - LNCS 4822
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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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© Springer-Verlag Berlin Heidelberg 2007
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