Evaluation of an adaptive linear model

S. K. M. Wong, Y. Y. Yao, G. Salton and C. Buckley

Journal of the American Society for Information Science, 1991, vol. 42, issue 10, 723-730

Abstract: This article reports on the experimental evaluation of an adaptive linear model that constructs improved query vectors from the user preference judgments on a sample set of documents. The performance of this method is compared with that of the standard relevance feedback techniques. The experimental results seem to demonstrate the effectiveness of the adaptive method. © 1991 John Wiley & Sons, Inc.

Date: 1991
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(199112)42:103.0.CO;2-U

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:42:y:1991:i:10:p:723-730

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 ().