Friday 26th of April 2024
 

Improving the User Query for the Boolean Model UsingGenetic Algorithms


Mohammad Othman Nassar, Feras Al Mashagba and Eman Al Mashagba

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: information retrieval, Boolean model, query optimization, genetic algorithms.

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ABOUT THE AUTHORS

Mohammad Othman Nassar
Dr. Mohammad Othman Nassar is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He worked as Assistant Professor at the Computer Information Systems department in the Arab Academy for Banking & Financial Sciences University. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, supply chain management, reengineering, outsourcing, and security. Dr. Nassar has published more than 12 articles in these fields in various journals and international conferences. He is included in the Panel of referees of \"International Journal of Modeling and Optimization\" and in the \"International Journal of Computer Theory and Engineering\", he was reviewer in the 2011 3rd International Conference on Machine Learning and Computing, also he is currently reviewer in A collection of open access journals called (academic journals).

Feras Al Mashagba
Dr. Feras Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, artificial intelligence, M-commerce.

Eman Al Mashagba
Dr. Eman Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Irbed University, Irbed, Jordan. She holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, Security, E-learning and image processing.


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