Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
Braque: design of an interface to support user interaction in information retrieval
Information Processing and Management: an International Journal - Special issue on hypertext and information retrieval
Evaluating user interfaces to information retrieval systems: a case study on user support
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Strategic help in user interfaces for information retrieval
Journal of the American Society for Information Science and Technology
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Do nondomain experts enlist the strategies of domain experts?
Journal of the American Society for Information Science and Technology
The effects of domain knowledge on search tactic formulation
Journal of the American Society for Information Science and Technology
Seeking and implementing automated assistance during the search process
Information Processing and Management: an International Journal
A logging scheme for comparative digital library evaluation
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Discovering the Scope of Privacy Needs in Collaborative Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Measuring improvement in user search performance resulting from optimal search tips
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Multilingual adaptive search for digital libraries
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Evaluation of an adaptive search suggestion system
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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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.