EconPapers    
Economics at your fingertips  
 

Searching biases in large interactive document retrieval systems

David C. Blair

Journal of the American Society for Information Science, 1980, vol. 31, issue 4, 271-277

Abstract: The way that individuals construct and modify search queries on a large interactive document retrieval system is subject to systematic biases similar to those that have been demonstrated in experiments on judgments under uncertainty. These biases are shared by both naive and sophisticated subjects and cause the inquirer searching for documents on a large interactive system to construct and modify queries inefficiently. A searching algorithm is suggested that helps the inquirer to avoid the effect of these biases.

Date: 1980
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.4630310407

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:31:y:1980:i:4:p:271-277

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571

Access Statistics for this article

More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jamest:v:31:y:1980:i:4:p:271-277