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Разработка рекомендательной системы на основе действий в приложении управления подписками

выпускная квалификационная работа магистра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2022 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/3/2023/vr/vr23-382

Разработка рекомендательной системы на основе действий в приложении управления подписками

Abstract

Объектом разработки является микросверсиваная архитектура, которая состоит из модулей анализа данных. В процессе разработки использовался язык pytnon3. Использовались библиотека MongoDB, gRPC, redis, серверная платформа Node.js. Результатом данной работы является рекомендательная система анализа данных.

The object of development is a microversive architecture consisting of data analysis modules. The development process uses the pytnon3 language. MongoDB, gRPC, Redis libraries, Node.js server platform were used. The result of this work is a recommender system for data analysis.

Keywords

Машинное обучение, Программирования языки, microservices, алгоритмы группировки, association rules search, методы дедупликации, deduplication methods, Базы данныÑ, поиск Ð°ÑÑÐ¾Ñ†Ð¸Ð°Ñ‚Ð¸Ð²Ð½Ñ‹Ñ Ð¿Ñ€Ð°Ð²Ð¸Ð», grouping algorithms, микросервисы

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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