Optimization of personnel selection processes the perfect candidates search algorithm

The article discusses an algorithmic approach to the selection of ideal candidates, using criteria analysis and an automated selection process, to optimize personnel selection processes and increase the efficiency of personnel management. The effectiveness of this method, as well as its practical applications in recruiting and internal transfer of employees, were studied. In today's world, where the competition in the labor market is extremely high, finding the ideal candidates becomes a key task for many companies. Choosing the right candidate for a job vacancy can have a significant impact on the success of a business, and automating the candidate selection process allows employers to significantly save time and resources on manual selection. Therefore, there is a need to research various methods and algorithms of personnel selection to achieve the maximum efficiency of process automation. Scientific studies and publications related to the selection of candidates and the application of algorithms in this area reflect the multifaceted and complex nature of the recruitment process. Previous research has addressed a wide range of issues, including the development of selection criteria, psychological tests, career trajectory analysis, and the effectiveness of various methods and approaches to candidate selection. Some research focuses on the development of machine learning and artificial intelligence algorithms to automate the candidate selection process, in particular by analyzing CVs, professional skills and testimonials. Other research examines the role of social media in recruitment and the development of algorithms to analyze candidate social media profiles. In addition, research has been conducted to examine the impact of various factors, such as cultural and social differences, on the candidate selection process. These studies provide a valuable contribution to the understanding of the most effective recruitment strategies and methods in different settings. A general trend in previous research is an attempt to ensure the objectivity, efficiency and innovation of the candidate selection process by developing new algorithms and methods that take into account a wide range of factors and business needs.