Sascha Kriewel, Norbert Fuhr. Adaptive Search Suggestions for Digital Libraries. In Dion Hoe-Lian Goh, Tru Hoang Cao, Ingeborg Sølvberg, Edie M. Rasmussen, editors, Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers, 10th International Conference on Asian Digital Libraries, ICADL 2007, Hanoi, Vietnam, December 10-13, 2007, Proceedings. Volume 4822 of Lecture Notes in Computer Science, pages 220-229, Springer, 2007. [doi]
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.