| dc.contributor.author | Амір Хассан Жабер | uk |
| dc.contributor.author | Amir Hassan Jaber | en |
| dc.date.accessioned | 2024-06-25T11:52:56Z | |
| dc.date.available | 2024-06-25T11:52:56Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Амір Хассан Жабер Метод побудови інтелектуальної системи рекомендацій для професійної орієнтації [Текст] / Амір Хассан Жабер // Оптико-електронні інформаційно енергетичні технології. – 2023. – Т. 46, № 2. – С. 22-36. | uk |
| dc.identifier.issn | 1681-7893 | |
| dc.identifier.issn | 2311-2662 | |
| dc.identifier.uri | https://ir.lib.vntu.edu.ua//handle/123456789/42899 | |
| dc.description.abstract | Стаття містить результати розробки методу побудови інтелектуальної системи рекомендацій для профорієнтації. Запропонований метод включає в себе алгоритми використання засобів машинного навчання, елементів штучного інтелекту, процедур класифікації та формування рекомендацій. Основою побудови інтелектуальної системи рекомендацій є визначення методів формування вхідних даних на основі результатів тестування, консультування, аналізу ринку праці, потреб різних цільових аудиторій. Аналіз відомих інтелектуальних інформаційних систем, використання штучного інтелекту, результати досліджень алгоритмів машинного навчання та к-сусів дозволили сформувати авторський метод побудови інтелектуальної системи для професійної орієнтації. | uk |
| dc.description.abstract | 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. | en |
| dc.language.iso | uk_UA | uk_UA |
| dc.publisher | ВНТУ | uk |
| dc.relation.ispartof | Оптико-електронні інформаційно енергетичні технології. № 2 : 22-36. | uk |
| dc.relation.uri | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/659 | |
| dc.subject | інтелектуальні інформаційні системи | uk |
| dc.subject | професійна орієнтація | uk |
| dc.subject | машинне навчання | uk |
| dc.subject | рекомендаційні системи | uk |
| dc.subject | штучний інтелект | uk |
| dc.subject | алгоритми машинного навчання | uk |
| dc.subject | алгоритм к-сусідів | uk |
| dc.subject | intelligent systems | en |
| dc.subject | professional orientation | en |
| dc.subject | methods of professional orientation | en |
| dc.subject | machine learning | en |
| dc.subject | recommendation systems | en |
| dc.subject | artificial intelligence | en |
| dc.subject | machine learning algorithms | en |
| dc.title | Метод побудови інтелектуальної системи рекомендацій для професійної орієнтації | uk |
| dc.title.alternative | The method of building an intelligent system of recommendations for professional orientation | en |
| dc.type | Article | |
| dc.identifier.udc | 004.5 | |
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| dc.identifier.doi | https://doi.org/10.31649/1681-7893-2023-46-2-22-36 | |
