Enhancing information retrieval by using evolution strategies
Author
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 7, Issue 2 (31 Jul. 2007)11 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2007-07-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Ali, Asad Abbud. 2007. Enhancing information retrieval by using evolution strategies. International Journal of Intelligent Computing and Information Sciences،Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284870
Modern Language Association (MLA)
Ali, Asad Abbud. Enhancing information retrieval by using evolution strategies. International Journal of Intelligent Computing and Information Sciences Vol. 7, no. 2 (Jul. 2007).
https://search.emarefa.net/detail/BIM-284870
American Medical Association (AMA)
Ali, Asad Abbud. Enhancing information retrieval by using evolution strategies. International Journal of Intelligent Computing and Information Sciences. 2007. Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284870
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-284870
