Improving the User Query for the Boolean Model Using Genetic Algorithms

Details Improving the User Query for the Boolean Model Using Genetic Algorithms Improving the User Query for the Boolean Model Using Genetic Algorithms

2011-11-30

arxiv.org/abs/1112.0054v1

International Journal of Computer Science Issues (IJCSI), Volume 8, Issue 5, pp 66-70, September 2011

Computer Science

Information Retrieval

4 pages; ISSN (online): 1694-0814

Scientific paper

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.

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