Feature Selection for Job Matching Application using Profile Matching Model

The advancement of technology has created big changes to speed up the job hiring process nowadays. With more tools developed, companies have embraced tools that help them recruits' talents. This is a research-in-progress of developing a job matching application system for Job Recruitment Agency specifically in the province of Pangasinan, Philippines. This paper proposes an approach for the agency to extract the relevant information from resumes and analyze it based on the different attributes. With the identification of the attributes, the proposed system is directed to adopt a clustering algorithm to match the profile of the job seekers against the requirements of the job posted by the prospect employers. This helps the agency to find suitable candidates for a particular job in different companies and make more informed decisions.