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Intelligent Employer Matching System for Young Professionals and Students Based on Multifactor Analysis

Year: 2024

Type: article

Abstract: The article discusses the development of an intelligent employer matching system based on multifactor analysis. The system uses a career test that evaluates 40 factors, divided into four categories: career development, work environment, social and corporate benefits, and personal values and lifestyle. Machine learning algorithms account for the interconnections between attributes and provide personalized recommendations for students and young professionals. The test results are compared with employer profiles, created based on feedback from company employees. The system is planned to integrate with platforms that scrape job postings from popular websites like dou.ua, which will increase its relevance. Implementing this system will help optimize the employment process and facilitate more accurate matching of specialists to the labor market's needs.

Source: Modeling Control and Information Technologies

DOI: 10.31713/mcit.2024.048

Authors: Vitalii Pavliuk, Volodymyr Drevetskyi

Institution: National University of Water and Environmental Engineering

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: diamond

OpenAlex ID: W4405275240

FWCI:

Cites: 2

Cited by:

Related to: 10