| Tawzef: Improving Recruitment Portals Performance via AI Technology, A Comparative Analysis |
| Paper ID : 1005-ICCITS |
| Authors |
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magdy ezzat elhennawy *1, Layla Reda2 1Shourouk Academy 2Higher Institute of Computers and Information Technology, Computer Depart. , El. Shorouk Academy, Cairo, Egypt |
| 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, concentrates on how to efficiently automate the process of recruitment. Employers post job openings, which Job seekers can search and apply directly through the platform. 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 face a vital challenge. 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. |
| Keywords |
| Named Entity recognition, natural language processing , Resume Recognition |
| Status: Accepted (Oral Presentation) |