A Comprehensive Review on Machine Learning in Recruitment

Now a days, the role of machine learning is very important in recruitment. With the help of machine learning, the traditional recruitment process is converted into intelligent data driven recruitment methodology. In this review paper, a comprehensive review of various machine learning algorithms for recruitment is done. The various stages of recruitment such as candidate screening, resume recommendation, interview evaluation etc. are to be performed with the machine learning. This paper also classifies machine learning contributions in different areas such as personality assessment systems, recruitment and efficiency optimization in human resource management. This paper also highlights the impact of different models such as support vector machine, neural networks, and deep learning techniques on the performance of recruitment process. This work helps the researchers, HR professionals and system developers with the understanding of current studies and future directions of machine learning based recruitment.