title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐµÑÐµÑÐ¾Ð² Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð´ÐµÐ¹ÑÑÐ²Ð¸Ð¹ Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a system for analyzing user interests based on actions in a social network
Creators: name: ÐÐ¾Ð½Ð°ÑÑÑÑÐµÐ², ÐÐ¸ÑÐ°Ð»Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÐºÑÑÐ°
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
machine learning
artificial intelligence
recommendation system
natural language processing
image recognition

description: ÐÐ±ÑÐµÐºÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ â Ð¼Ð¾Ð´ÑÐ»Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ, Ð¼Ð¾Ð´ÑÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¸Ð½ÑÐµÐ³ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð¼ÐµÐ¶Ð´Ñ ÑÐ¾Ð±Ð¾Ð¹. ÐÐ°Ð½Ð½ÑÐµ Ð¼Ð¾Ð´ÑÐ»Ð¸ Ð±ÑÐ´ÑÑ Ð·Ð°Ð½Ð¸Ð¼Ð°ÑÑÑÑ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¾Ð¹ ÑÐµÐºÑÑÐ° Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹.
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description: The object of development is data processing modules and machine learning modules integrated with each other. These modules will handle the processing of text and images. 
The purpose of this work is a recommendation system that allows you to identify groups of users by interests based on their actions in the social network. The source data set contains images, texts, geotags, and publication rating records. For the provided data set, we consider an architecture that takes into account the data type. Depending on the data type, we consider machine learning models that process this data. For each of the models considered in this paper, the metrics and results obtained as a result of the model are given. To combine the results of the models, it is proposed to record all processed information in a relational database. To select the target audience or target records from the database, the paper provides examples of queries to this database.
The recommendation system was successfully developed and includes one im-age recognition module and two text processing modules. Additionally, when search-ing for target users or records, information about the geolocation and rating of records was used. The system was tested on real data. The recommendation system ar-chitecture discussed in this paper can be integrated into small projects.