Using genetic algorithm to improve information retrieval systems
Inhaltsverzeichnis
Referenz
Ahmed A. A. Radwan, Bahgat A. Abdel Latef, Abdel Mgeid A. Ali, and Osman A. Sadek (2006): Using genetic algorithm to improve information retrieval systems. World Academy of Science and Engineering Technology, Vol. 17, No. 2, pp.6–13.
DOI
Abstract
This study investigates the use of genetic algorithms in information retrieval. The method is shown to be applicable to three well-known documents collections, where more relevant documents are presented to users in the genetic modification. In this paper we present a new fitness function for approximate information retrieval which is very fast and very flexible, than cosine similarity fitness function.
Extended Abstract
Bibtex
@article{
author = {Ahmed A. A. Radwan, Bahgat A. Abdel Latef, Abdel Mgeid A. Ali, and Osman A. Sadek},
title = {Using genetic algorithm to improve information retrieval systems},
journal = {World Academy of Science and Engineering Technology},
volume = {17},
number = {2},
pages = {6-13},
year = {2006},
doi={},
keywords={Cosine similarity, Fitness function, Genetic Algorithm, Information Retrieval, Query learning}
url={http://waset.org/publications/8821/using-genetic-algorithm-to-improve-information-retrieval-systems http://de.evo-art.org/index.php?title=Using_genetic_algorithm_to_improve_information_retrieval_systems},
}
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