title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° ÑÐµÑÐ²Ð¸ÑÐ° Ð¾ÑÐ±Ð¾ÑÐ° ÐºÐ°Ð½Ð´Ð¸Ð´Ð°ÑÐ° Ð½Ð° Ð²Ð°ÐºÐ°Ð½ÑÐ¸Ñ Ð² ÑÐµÐºÑÑÑÐ¸Ð½Ð³Ð¾Ð²Ð¾Ð¼ Ð°Ð³ÐµÐ½ÑÑÑÐ²Ðµ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a prototype of a candidate selection service for a vacancy in a recruiting agency using machine learning methods
Creators: name: ÐÐ¾Ð½Ð´Ð°ÐºÐ¾Ð²Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÐµÐ»Ð¾Ð²ÐµÑÐµÑÐºÐ¸Ð¼Ð¸ ÑÐµÑÑÑÑÐ°Ð¼Ð¸
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
Ð·Ð°Ð´Ð°ÑÐ¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐµÐ»Ð¾Ð²ÐµÑÐµÑÐºÐ¸Ð¼Ð¸ ÑÐµÑÑÑÑÐ°Ð¼Ð¸
Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
Ð·Ð°Ð´Ð°ÑÐ° ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸
ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°
human resource management
machine learning
artificial intelligence
human resource management tasks
machine learning methods
machine learning models
classification task
artificial intelligence technologies

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description: The aim of the graduate qualification work is development of a prototype of a candidate selection service for a vacancy using machine learning methods to increase the efficiency of the recruiting process in the organization. The following tasks were solved: â analysis of the application of machine learning methods in human resource management was carried out; â analyzed existing analogues of the service being developed; â the approach and machine learning models for building the service were selected; â a prototype of a web service for personnel selection was developed; â an economic justification for the effectiveness of the developed product was provided. The relevance of the topic is due to the need to develop a domestic analogue of a candidate selection service to improve recruitment processes in an organization, reduce financial and time costs for searching and selecting personnel, as well as to ensure information security and independence from foreign solutions, which is especially important in the context of global economic and political challenges. Research methods used: statistical methods, general scientific methods, observation, analysis and synthesis, mathematical methods, machine learning methods. The sources of information were data from domestic and foreign scientific research literature, official Internet resources and analytical agencies. As a result of the work done, a prototype of a service for selecting a candidate for a vacancy was developed, which can be used by Russian companies to optimize recruiting processes.