IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Journal ITA >
2008 >
Volume 15 Number 4 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/84

Title: Enhancing Information Retrieval by Using Evolution Strategies
Authors: Abdelmgeid Amin, Aly
Keywords: Information Retrieval
evolution strategy
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Similar to Genetic algorithm, Evolution strategy is a process of continuous reproduction, trial and selection. Each new generation is an improvement on the one that went before. This paper presents two different proposals based on the vector space model (VSM) as a traditional model in information Retrieval (TIR). The first uses evolution strategy (ES). The second uses the document centroid (DC) in query expansion technique. Then the results are compared; it was noticed that ES technique is more efficient than the other methods.
URI: http://hdl.handle.net/10525/84
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 4

Files in This Item:

File Description SizeFormat
ijita15-4-p10.pdf71.36 kBAdobe PDFView/Open

 




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License