Tawzef: Improving Recruitment Portals Performance via AI Technology, A Comparative Analysis | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Volume 16, Issue 1, 2025 PDF (488.27 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asc.2024.382175 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Magdy Ezzat Elhennawy | ||||
| IT Department, Computer & Information Technology Institute, El-Shorouk Academy | ||||
| Abstract | ||||
| Organizations can achieve their objectives by selecting appropriate employees with appropriate qualifications and skills, which can be well defined through the employment job description. However, most of the problems that employees face are finding a job that suits their qualifications, as for companies, the problem is searching for an employee that fits the job requirements. On the other hand, the appropriate connection between the job seekers and employers represents a real problem, since employers should search in tons of CVs and job description and skills to select the appropriate and related ones Today’s most online job portals, concentrated on how to automate the process of recruitment. Job seekers profiles include professional experience, education, skills, certifications, and upload resumes. Employer’s profiles include company culture, products, and job openings. Employers can post job openings, which users can search and apply for directly through the platform. Job seekers can apply to jobs with their profile and can share updates, post articles, and engage with content shared by others through likes, comments, and shares. Job seekers can see who has viewed their profile. Online job portals, a web-based application, have emerged as a popular platform for job seekers and employers to connect with each other. They have become the appropriate platform for recruitment process. However, they faces a vital challenges. Receiving a huge amount of career and job search information, matching between both is a difficult and exhaustive process, leading to time and effort consuming besides a probability of mismatch. This research focuses on how to employ AI and other latest technologies, resume recognition, matching between resumes and employer job description, to provide a comprehensive solution to the above challenges. The results shows that matching time. The measured results shows that using the AI technologies has minimized the matching time make it negligible regarding to the recognition time. | ||||
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