Information search heuristics based upon profitability

Author

Westland, J.C.

Author_Institution

Sch. of Bus. Adm., Univ. of Southern California, Los Angeles, CA, USA

Volume

3

fYear

1989

fDate

3-6 Jan 1989

Firstpage

99

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/HICSS.1989.49229

Filename

49229