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Research methods for selecting vacancies based on associative data analysis

Varlamov Alexey Dmitrievich  (Ph.D., Associate Professor, Murom Institute (branch) FSBEI HE "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs")

Lozhkin Sergey Sergeevich  (Murom Institute (branch) FSBEI HE "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs")

Algorithms for the recommendatory selection of vacancies in accordance with the user's existing skills based on associative analysis satisfy a strictly defined value of supporting informative information features. Unlike the most common search engines today, the recommendation system does not imply a clear request to get the required answer. At the same time, recommendation systems in modern realities are becoming very popular, which is due to a rather noticeable decrease in the time to find the required information. The article discusses algorithms for recommendatory selection of vacancies according to available skills based on associative analysis.

Keywords:associative analysis, vacancy, resume, skill.

 

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Citation link:
Varlamov A. D., Lozhkin S. S. Research methods for selecting vacancies based on associative data analysis // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№12. -С. 59-61 DOI 10.37882/2223-2966.2020.12.07
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