Adaptive Search Suggestions for Digital Libraries [chapter]

Sascha Kriewel, Norbert Fuhr
Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers  
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