EVALUATING RECRUITMENT PROFILE USING MACHINE LEARNING

Abstract

In the era of industrial revolution 4.0, the application of IT has been playing a significant role. Analyzing and predicting the results of recruitment profile have gradually become the hot topic of interest to both researcher and business. By analyzing and predicting the recruitment profile, recruiters could evaluate candidate insights as well as predict which job is suitable for candidates. In this research, we propose evaluating recruitment profile using machine learning approach. We use Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF) to evaluate recruitment profile. Our experiments on the dataset of the Binh Duong Job Center show the good results.