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dc.contributor.authorKumarasinghe, KHNK
dc.contributor.authorGunasekara, D
dc.date.accessioned2021-12-27T06:27:38Z
dc.date.available2021-12-27T06:27:38Z
dc.date.issued2021
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/5252
dc.description.abstractFinding the perfect job is the main purpose of Higher Education for young individuals. For this purpose, nowadays, there are a lots of job portals available in Sri Lanka, where job seekers discover work opportunities and vacancies according to their preferred job titles. Yet for this, the seeker has to have a clear idea about at least several job titles or roles in a company. Not every person who uses these portals has knowledge of jobs and job positions, and most might know only a few job positions, while they might not have ever heard of some. With the outbreak of the COVID-19 pandemic situation, the whole world has been suffering for almost 2 years now. Changes have happened in every sector in continuing with daily processing during the pandemic. Many researchers have already proposed matching approaches by developing ontologies as a reference to mediate matching accuracy approximately. However, these approaches do not prove how closely matched applicants are in relation to their core skills. This research paper proposes a method that uses a proper approach for improved keyword searching, by influencing the comparability between concepts in the judgment, which represents the core skills and qualifications needed for a job to decide how closely matched an applicant is during the job searching process, mainly focusing on two recommendation processes; job role recommendation and job vacancy recommendation.en_US
dc.language.isoenen_US
dc.subjectjob portalen_US
dc.subjectjob search engineen_US
dc.subjectonline jobsen_US
dc.subjectjob role recommendationen_US
dc.subjectjob vacancy recommendationen_US
dc.titleUse of an Improved Online Job Recommendation System to Search Job Roles and Vacanciesen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDU IRC, 2021en_US
dc.identifier.issueFaculty of Computingen_US
dc.identifier.pgnos373-380en_US


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