Метод побудови інтелектуальної системи рекомендацій для професійної орієнтації

This article examines the development of intelligent systems for professional orientation through machine learning and intelligent algorithms. It explores the design features, analyzes current methods, and integrates new approaches like psychological testing, counseling, skill profiling, and job fai...

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Bibliographic Details
Date:2023
Main Author: Жабер, Амір Хассан
Format: Article
Language:Ukrainian
Published: Vinnytsia National Technical University 2023
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Online Access:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/659
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Journal Title:Optoelectronic Information-Power Technologies

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Optoelectronic Information-Power Technologies
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Summary:This article examines the development of intelligent systems for professional orientation through machine learning and intelligent algorithms. It explores the design features, analyzes current methods, and integrates new approaches like psychological testing, counseling, skill profiling, and job fairs with modern platforms such as social media and virtual reality. The study investigates the use of machine learning for labor market analysis, recommendation systems, and individualized learning plans, highlighting the enhanced efficiency and personalization in career guidance. The findings reveal the significant potential of these systems to refine the precision and effectiveness of career choices.