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Methods for building recommender systems

Morozov Yury Alekseevich  (Postgraduate student, Peter the Great St. Petersburg Polytechnic University)

Saradgishvili Sergey Erikovich  (Candidate of Science, Associate Professor, Peter the Great St. Petersburg Polytechnic University)

Recommender systems are programs that predict which objects are of interest to a given system. Recommender systems have increasingly become part of modern Internet services and online stores. This paper provides an overview of approaches to the formation of attention in the recommendatory principles.

Keywords:recommender systems; methods of recommender systems; collaborative filtering; recommendation methods; content methods; data analysis.
 

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Citation link:
Morozov Y. A., Saradgishvili S. E. Methods for building recommender systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№04/2. -С. 94-96 DOI 10.37882/2223-2966.2022.04-2.27
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