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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

New Artificial Immune System Approach Based on Monoclonal Principle for Job Recommendation

Author 1: Shaha Al-Otaibi
Author 2: Mourad Ykhlef

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070415

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 4, 2016.

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Abstract: Finding the best solution for an optimization problem is a tedious task, specifically in the presence of enormously represented features. When we handle a problem such as job recommendations that have a diversity of their features, we should rely to metaheuristics. For example, the Artificial Immune System which is a novel computational intelligence paradigm achieving diversification and exploration of the search space as well as exploitation of the good solutions were reached in reasonable time. Unfortunately, in problems with diversity nature such job recommendation, it produces a huge number of antibodies that causes a large number of matching processes affect the system efficiency. To leverage this issue, we present a new intelligence algorithm inspired by immunology based on monoclonal antibodies production principle that, up to our knowledge, has never applied in science and engineering problems. The proposed algorithm recommends ranked list of best applicants for a certain job. We discussed the design issues, as well as the immune system processes that should be applied to the problem. Finally, the experiments are conducted that shown an excellence of our approach.

Keywords: content-based filtering; computational intelligence; artificial immune system; clonal selection; monoclonal antibodies

Shaha Al-Otaibi and Mourad Ykhlef, “New Artificial Immune System Approach Based on Monoclonal Principle for Job Recommendation” International Journal of Advanced Computer Science and Applications(IJACSA), 7(4), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070415

@article{Al-Otaibi2016,
title = {New Artificial Immune System Approach Based on Monoclonal Principle for Job Recommendation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070415},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070415},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {4},
author = {Shaha Al-Otaibi and Mourad Ykhlef}
}


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