Kriewel, Sascha; Fuhr, Norbert:
An evaluation of an adaptive search suggestion system
In: Advances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010 / Gurrin, Cathal; He, Yulan; Kazai, Gabriella; Kruschwitz, Udo; Little, Suzanne; Roelleke, Thomas; Rüger, Stefan; van Rijsbergen, Keith (Hrsg.). - Berlin: Springer, 2010, S. 544 - 555
Buchaufsatz/Kapitel in Sammelwerk / Fach: Informatik
Titel:
An evaluation of an adaptive search suggestion system
Autor(in):
Kriewel, Sascha im Online-Personal- und -Vorlesungsverzeichnis LSF anzeigen; Fuhr, Norbert im Online-Personal- und -Vorlesungsverzeichnis LSF anzeigen
Erscheinungsjahr:
2010
Erschienen in:
Advances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010 / Gurrin, Cathal; He, Yulan; Kazai, Gabriella; Kruschwitz, Udo; Little, Suzanne; Roelleke, Thomas; Rüger, Stefan; van Rijsbergen, Keith (Hrsg.). - Berlin: Springer, 2010, S. 544 - 555
ISBN:
Link URL:

Abstract:

This paper describes an adaptive search suggestion system based on case-based reasoning techniques, and details an evaluation of its usefulness in helping users employ better search strategies. A user experiment with 24 participants was conducted using a between-subjects design. One group received search suggestions for the first two out of three tasks, while the other didn't. Results indicate a correlation between search success, expressed as number of relevant documents saved, and use of suggestions. In addition, users who received suggestions used significantly more of the advanced tools and options of the search system -- even after suggestions were switched off during a later task.