Algorithm for Searching for Personnel and Professional Development Programs from External Sources: Application of Neural Networks
( Pp. 195-203)
More about authors
Mariam V. Mirzoyan
Cand. Sci. (Econ.), Senior Lecturer at the Department of Business Informatics, Faculty of Information Technology and Big Data Analysis
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Nikita A. Andriyanov Cand. Sci. (Eng.), Associate Professor of Artificial Intelligence Department
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Nikita A. Andriyanov Cand. Sci. (Eng.), Associate Professor of Artificial Intelligence Department
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Abstract:
The article examines the problem of finding personnel from external sources and assessing a candidate's suitability for a position, especially in the context of the civil service, which can be effectively carried out through the analysis of applicants' resumes using modern artificial neural network models that do not require retraining. The aim of the study is to test the hypothesis that it is possible to create a universal tool for comparing job descriptions, resumes of specialists and professional development courses that does not require additional retraining. The main idea of the presented methodology is to obtain vector representations of such documents and further compare them using metric algorithms. The article also presents the possibility of searching for professional development programs from open sources for current employees of the state civil service in order to improve the competence and qualification level of employees and move up the career ladder. The obtained results confirm the effectiveness of applying NLP technologies in the task of job selection and candidate assessment. The analysis of a large number of summaries and the determination of compliance is presented in the form of a binary classification problem, in connection with which several methods were analyzed to solve this problem and the one that presented the best result was selected. Thus, it is shown that the use of artificial intelligence methods is effective for building intelligent systems in HR-sphere.
How to Cite:
Mirzoyan M. V., Andriyanov N. A. Algorithm for Searching for Personnel and Professional Development Programs from External Sources: Application of Neural Networks // ECONOMIC PROBLEMS AND LEGAL PRACTICE. 2025. Vol. 21. № 2. P. 195-203. (in Russ.) DOI: 10.33693/2541-8025-2025-21-2-195-203. EDN: ELMNFC
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Mirzoyan, M. V. Decision support system for the management of civil servants' competencies based on intelligent technologies : dissertation for the degree of Candidate of Economic Sciences / Mirzoyan Mariam Valerikovna, 2024. —208 p. —EDN UJMSRI.
Abdikeev, N.M. Business efficiency management systems: a textbook / N.M. Abdikeev [et al.] ; edited by N.M. Abdikeev, O.V. Kitaeva. Moscow : Infra-M, 2014. 282 p. ISBN 978-5-16-003992-3.
Barsky, A.B. Neural networks: recognition, management, decision-making / A.B. Barsky.—Moscow : Finance and Statistics, 2004. —176 pp. —ISBN 5-279-02757-X.
Economics of information systems: Management and efficiency assessment : a textbook for Bachelor's and Master's degrees in Business Informatics / N.F. Altukhova, E.V. Vasilyeva, E.A. Deeva [et al.], Moscow : KnoRus, 2020, 624 p. ISBN 978-5-406-07848-8.
Verbitsky, A.A. Personal and competence-based approaches in education: problems of integration : a monograph / A.A. Verbitsky, O.G. Larionova. Moscow : Logos, 2009– 336 p. ISBN 978-5-98704-452-0.
Andriyanov N.A., Dementiev V.E., Tashlinskii A.G. Detection of objects in the images: From likelihood relationships towards scalable and efficient neural networks // Computer Optics 2022, 46 (1), 139-159
Dementyiev V.E., Andriyanov N.A., Vasilyiev K.K. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural networks // 2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).
Kuratov, Y., Arkhipov, M. (2019). Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language. URL https://huggingface.co/DeepPavlov/rubert-base-cased (Date of request: 02/26/2025).
RuGPT3 demo URL https://russiannlp.github.io/rugpt-demo / (Accessed: 02/26/2025).
Andrzej Machkiewicz, Waldemar Ratajczak Principal components analysis (PCA) // Computers & Geosciences, Volume 19, Issue 3, 1993, P. 303–342.
Andriyanov, N.A. On the application of neural networks for recommendation systems in the task selection of candidates for civil service vacancies / N.A. Andriyanov, M.V. Mirzoyan // Innovation and investment. —2023. —No. 9. —pp. 313–317. —ISSN 2307-180X.
Keywords:
neural networks, personnel search, neural network architecture, resume analysis, lemmatization of words, search for professional development programs..
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