Title :
Information search heuristics based upon profitability
Author_Institution :
Sch. of Bus. Adm., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Heuristics are developed for information scanning activities in large collections of information. These search heuristics are consistent with human information processing behavior identified in prior empirical research. They rely on available knowledge, and provide a guide for the design of computer-based systems which support information scanning. Conclusions are presented which describe how to incorporate time and subjective information profitability into an optimal search strategy, as well as appropriate information to elicit during queries
Keywords :
heuristic programming; information retrieval; appropriate information; available knowledge; computer-based systems; human information processing behavior; information collections; information scanning; information search heuristics; optimal search strategy; queries; subjective information profitability; time; Data mining; Databases; Decision making; Gain measurement; Humans; Information processing; Information systems; Loss measurement; Profitability; Veins;
Conference_Titel :
System Sciences, 1989. Vol.III: Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Print_ISBN :
0-8186-1913-9
DOI :
10.1109/HICSS.1989.49229
