The measurement of end-user computing satisfaction
MIS Quarterly
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Integrating query thesaurus, and documents through a common visual representation
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Bead: explorations in information visualization
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
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
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Aspect windows, 3-D visualizations, and indirect comparisons of information retrieval systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Managing Gigabytes: Compressing and Indexing Documents and Images
Managing Gigabytes: Compressing and Indexing Documents and Images
Using Document Relationships for Better Answers
PODDP '98 Proceedings of the 4th International Workshop on Principles of Digital Document Processing
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Many existing information access systems deliver ranked lists of documents in response to users' queries. Some systems also endeavor to represent some of the various types of relationships that can exist between documents. However, few systems provide effective mechanisms to help users discover useful information within the set of retrieved documents. In this paper, we present a question-driven approach to delivering retrieved documents in an attempt to organize them in a way closer to the user's mental representation of the expected answer. In our purposed approach, retrieved documents are dynamically classified into categories; an appropriate classification scheme is selected by a user on the basis of their own understanding of the information need. Experimental results show that users are more satisfied with such a directed categorization than with a list of retrieved documents.