The design of system architectures for information retrieval

Authors:
L. A. Hollaar;B. J. Hurley;D. J. Kuck;D. H. Lawrie;J. W.S. Liu;J. M. Milner;J. K. Morgan;J. R. Rinewalt;W. H. Stellhorn
Affiliations:
Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;Datalogics, Inc., 325 West Huron, Chicago, IL;Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;U.S. Army Construction Engineering Research Laboratory, Interstate Research Park, Champaign, IL;Department of Computer Science, University of Illinols at Urbana-Champalgn, Urbana, IL;U.S. Army Construction Engineering Research Laboratory, Interstate Research Park, Champaign, IL
Venue:
ACM '76 Proceedings of the 1976 annual conference
Year:
1976

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Abstract

A broad-based program for studying hardware, software and human factors affecting information retrieval system performance is described. Using EUREKA, a minicomputer-based retrieval program, studies of user adaptation to an on-line system, search strategy development and use of special features are in progress. Performance comparisons are made between machine-assisted users and those using conventional printed materials. Concurrently, special-purpose retrieval hardware is being designed, and one prototype system is under construction. To support and supplement this work, various modeling and simulation studies are also in progress.