Improving the User Query for the Boolean Model Using Genetic Algorithms
Abstract
The Use of genetic algorithms in the Information retrieval (IR) area, especially in optimizing a user query in Arabic data collections is presented in this paper. Very little research has been carried out on Arabic text collections. Boolean model have been used in this research. To optimize the query using GA we used different fitness functions, different mutation strategies to find which is the best strategy and fitness function that can be used with Boolean model when the data collection is the Arabic language. Our results show that the best GA strategy for the Boolean model is the GA (M2, Precision) method.
Keywords
Cite
@article{arxiv.1112.0054,
title = {Improving the User Query for the Boolean Model Using Genetic Algorithms},
author = {Mohammad Othman Nassar and Feras Al Mashagba and Eman Al Mashagba},
journal= {arXiv preprint arXiv:1112.0054},
year = {2013}
}
Comments
4 pages; ISSN (online): 1694-0814 this paper has been withdrawn by the author due to a crucial errors in table 1 and 2. other errors are related to the final results