title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²
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
Creators: name: ÐÐ¾Ð±ÑÑÐµÐ², ÐÐ¸ÑÐ¸Ð»Ð»
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: ÐÑÐ°ÑÐ¾Ð² ÑÐµÐ¾ÑÐ¸Ñ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
word2vec
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description: The master graduate qualification work is related to research in the field of recommender system algorithms. Existing solutions in the field of image recommendation have the following disadvantages: necessity of manual filling of metadata by users, necessity of significant resources and data for model training, lack of the user action history consideration and lack of building his profile.
In this study, a new algorithm is proposed for image recommendation, which allows us to avoid the disadvantages of existing solutions. 
The proposed solution has the following distinctive features that help avoid the disadvantages of existing solutions: class recognition in images, representation of users and images in the semantic space, and transformation of the semantic space into a graph structure.
The proposed solution was implemented as a prototype of recommender system that interacts with external system over HTTP protocol.
The implemented prototype was tested for accuracy and completeness by calculation of precision and recall metrics and was tested for execution time. The algorithm showed satisfactory results. It is planned to increase the completeness of execution results and to cover the recommendation system with automated tests.