August 17, 2025Open Access

Designing an automated matching model to enhance recruitment process

SISahar IdwanHashemite University EFEbaa FayyoumiHashemite University HHHaneen HijaziHashemite University

Key Points

The automated matching model significantly improves recruitment efficiency, allowing faster identification of qualified candidates.
Utilizing a mathematical machine, the model offers unbiased recommendations for hiring processes, enhancing decision-making.
By applying the matching job applicant model, both employers and candidates benefit from clear, structured outputs that help match qualifications.
This model may lead to a more effective recruitment strategy, promoting a fair selection process in various workplace environments.

Abstract

Detecting qualified candidates for a vacant position is a difficult task, especially when there are numerous applicants. This delays team development in finding the appropriate individual at the right moment. Adopting a well-structured selection process will create opportunities for new aspects and ideas. In this paper, the matching job applicant (MJA) model is developed to assist all parties, the employers and the employees simultaneously by providing a fair, transparent unbiased solution constructed by using a mathematical machine. This provides a clear justification in the decision-making process in addition to advising the applicants with the most suitable positions that fits their qualifications.

AI에게 질문

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