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On-line Job Hunting Support System Using Multi Agent Approach

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dc.contributor.author Ou, Shein Phyu
dc.date.accessioned 2019-08-06T04:38:34Z
dc.date.available 2019-08-06T04:38:34Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1849
dc.description.abstract This paper presents multi-agent system and forwards-chaining algorithm. This system intends to support the internet users who are interested in searching for the job from online processing. It hunts job depending the user’s input data. The job seekers need not look for the job advertisement. But the seeker needs to fill in CV form. As well as, admin needs to get job position as companies need. Afterward, the user can easily searches jobs as he like. This system includes three agents such as user agent, comparison agent and job agent. As the agent matches the data which user inputs with the data that companies need and then shows the job list to the user. The jobs have different priorities. Therefore, this system has to take one post one rule type and also used on rule based reasoning. This system generates the rules regarded with the job priorities. Forward chaining algorithm is used as the matching from the knowledge base that is stored companies job data to come out with the reliable job list in these all companies. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title On-line Job Hunting Support System Using Multi Agent Approach en_US
dc.type Article en_US


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