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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.doi:10.1007/978-3-540-77094-7_31 dblp:conf/icadl/KriewelF07 fatcat:wlz6boi3y5fwthv4nuldbdcbta