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IT Job Portal in Android

Radhika K. Rathi, Neha V. Londase, Rhucha D. Gangamwar Published in Android Application

IJAIS Proceedings on National Level Technical Conference X-PLORE 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
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  1. Radhika K Rathi, Neha V Londase and Rhucha D Gangamwar. Article: IT Job Portal in Android. IJAIS Proceedings on National Level Technical Conference X-PLORE 2013 XPLORE:10-16, March 2013. BibTeX

    	author = "Radhika K. Rathi and Neha V. Londase and Rhucha D. Gangamwar",
    	title = "Article: IT Job Portal in Android",
    	journal = "IJAIS Proceedings on National Level Technical Conference X-PLORE 2013",
    	year = 2013,
    	volume = "XPLORE",
    	pages = "10-16",
    	month = "March",
    	note = "Published by Foundation of Computer Science, New York, USA"


The Job selection process in today's global economy can be a daunting task for prospective employees no matter their experience level. It involves a detailed search of newspapers, job websites, human agents, etc, to identify an employment opportunity that is perceived compatible to abilities, anticipated remuneration and social needs. Search sites such as Seek, Academickeys. com, Careerbuilder. com, Job-hunt. org, Monster. com, etc allow prospective employees to register online and search and apply for employment. However most do very little to profile employers against employees or even attempt to confirm the validity of the data submitted by prospective employees. Also no information exists on feedback of the employer too on various criteria submitted by employees. Taking all these into consideration we here have proposed an intelligent agent (instead of the human agent) to perform the same search operations by interacting with the employer and job search coordinator agents.


  1. Frivolt, Gyorgy, and Maria Bielikov. Improving Job Search by Network of Professions and Companies. Bratislava, Slovakia: Institute of Informatics and Software Engineering, 2006
  2. Sugawara, Kenji. "Agent-Based Application for Supporting Job Matchmaking for Teleworkers. " Second IEEE International Conference on Cognitive Informatics (ICCI'03). 2003. pp. 137
  3. Rabin, Matthew. Risk Aversion and Expected-Utility Theory: A calibration Theory. Berkeley California: Department of Economics, 1999
  4. Agulla, Elisardo G, Enrique O Muras, Jose Castro, and Carmen G Mateo. An Open Source Java Framework for Biometric Web Authentication Based on BioAPI. Vigo, Spain: Department of Signal Theory and Communications, University of Vigo, 2007.
  5. Bogle, Salathiel, and Suresh Sankaranarayanan. "Intelligent Agent based Job Search System in Android Environment. " 2011 IEEE International Conference on Electro/Information Technology, 2011
  6. Franklin, Stan, and Art Graesser. " Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. " Third International Workshop on Agent Theories Architectures and Languages. Springer-Verlag, 1996.
  7. Stuart, Russell J. , and Peter Norvig. Artificial Intelligence: A Modern Approach. Englewood Cliffs, NJ: Prentice Hall, 1995
  8. Hayes-Roth, B. "An Architecture for Adaptive Intelligent Systems. " Artificial Intelligence: Special Issue on Agents and Interactivity, 1995: 72, 329-365.
  9. Jennings, N. R. , and M. Wooldridge. Applications of Intelligent Agents. London: University of London, 1998.
  10. Poole et al. Computational Intelligence. New York: Oxford University, 1998
  11. Spanoudakis, Nikolaos, and Pavlos Moraitis. "An Ambient Intelligence Application Integrating Agent and Service-Oriented Technologies. " In Proceedings of SGAI Conference.
  12. Paris, France: Paris Descartes University, 2007. pp. 393-398. 12. Addison, J. T. , Centeno, M. , & Portugal, P. (2004). Key Elasticities in Job Search Theory: International Evidence. IZA.


Android, Administrator, Jobseeker, Employer, Job Search