Adaptive Search Suggestions for Digital Libraries

In: Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers / Hoe-Lian Goh, Dion; Hoang Cao, Tru; Sølvberg, Ingeborg Torvik; Rasmussen, Edie (Hrsg.)
Berlin: Springer (2007), S. 220-229
ISBN: 978-3-540-77093-0
Buchaufsatz / Kapitel / Fach: Informatik
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.