Adaptive Search Suggestions for Digital Libraries

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.

• Type: Conference
• Year: 2007
• Where: ICADL
• Authors: Sascha Kriewel, Norbert Fuhr
• Keywords: Adaptive Tool, Case-based Reasoning Techniques, Education, ICADL 2007, Information Search Process