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The application of machine learning methods for the analysis of user interests

Monastyrev Vitaly Victorovich  (Graduate student, Peter the Great St. Petersburg Polytechnic University)

Molodyakov Sergey Aleksandrovich  (Doctor of technical Sciences, Professor, Peter the Great St. Petersburg Polytechnic University)

This article discusses the process of analyzing user data to identify target interest groups. The analyzed data includes photos, text, geotags, and marks on publications (“like” or “dislike”). Machine learning methods are used to analyze information. The analyzed information is recorded in a database, where different types of information are combined by a common identifier. Based on the analyzed information, target groups are selected by applying an SQL query.

Keywords:machine learning, neural network, recommendation system, image, text tonality, rating
 

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Citation link:
Monastyrev V. V., Molodyakov S. A. The application of machine learning methods for the analysis of user interests // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2021. -№01. -С. 97-101 DOI 10.37882/2223-2966.2021.01.21
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