ML Methods for Solving Complex Sorting and Ranking Problems in Human Hiring

Every organization has its own job description in hiring the employees for his organization some concentrate on communication, technical skills, domain expertise, experience, flexibility. The job search engines takes input from the HR and provide the matching resumes of people who belong to that particular category and since the outcome result of search grows, the HR faces problem in selecting the best resume out of huge number. Understanding this hiring pattern here the role of Human Resource (HR) staff becomes important. The proposed method is to accommodate machine learning concepts to minimize the human intervention in hiring, understanding the intelligence behind the hiring pattern, offers the ranking system according to the hiring patterns predicts the ranking and sorting of resumes with high accuracy and simplifies the job of human resourcing efficiently