title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð²ÑÐ±Ð¾ÑÐ° ÑÐ¾Ð²Ð°ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸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 prototype recommendation system for product selection using filtering alghorithms
Creators: name: Ð¡Ð²ÐµÑÑÐºÐ¾Ð², ÐÐ°Ð²ÐµÐ»
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: 2024
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ñ ÑÐ¾Ð²Ð°ÑÐ°
machine learning
recommender system
artificial intelligence
machine learning methods
machine learning algorithms
product recommendation

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð²ÑÐ±Ð¾ÑÐ° ÑÐ¾Ð²Ð°ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸. Ð ÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: â Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼Ð°Ñ; â Ð¸Ð·ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð°Ð½Ð°Ð»Ð¾Ð³Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð¹ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ; â Ð²ÑÐ±ÑÐ°Ð½Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ; â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ; â Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ. ÐÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÑ ÑÐµÐ¼Ñ Ð¾Ð±ÑÑÐ»Ð¾Ð²Ð»ÐµÐ½Ð° Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¾ÑÐµÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¾Ð³Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð¿Ð¾ Ð²ÑÐ±Ð¾ÑÑ ÑÐ¾Ð²Ð°ÑÐ°, Ñ Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÑÐµÐ¹ Ð¾ÑÐµÐ½ÐºÐ¾Ð¹ ÐµÑ ÐºÐ¾Ð¼Ð¼ÐµÑÑÐ¸Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ°ÑÑÐµÑÐ° ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ð¹ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ¶Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð´ÑÐºÑÐ° Ð¸ Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÑÐµÐ³Ð¾ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ: ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ, Ð¾Ð±ÑÐµÐ½Ð°ÑÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ, Ð½Ð°Ð±Ð»ÑÐ´ÐµÐ½Ð¸Ðµ, Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐ¸Ð½ÑÐµÐ·, Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ, Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÑÐ¾ÑÐ½Ð¸ÐºÐ°Ð¼Ð¸ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð²ÑÑÑÑÐ¿Ð¸Ð»Ð¸ Ð´Ð°Ð½Ð½ÑÐµ Ð¾ÑÐµÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¸ Ð·Ð°ÑÑÐ±ÐµÐ¶Ð½Ð¾Ð¹ Ð½Ð°ÑÑÐ½Ð¾-Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÑ, Ð¾ÑÐ¸ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÐÐ½ÑÐµÑÐ½ÐµÑ-ÑÐµÑÑÑÑÐ¾Ð² Ð¸ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð°Ð³ÐµÐ½ÑÑÑÐ². Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿ÑÐ¾Ð´ÐµÐ»Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð²ÑÐ±Ð¾ÑÐ° ÑÐ¾Ð²Ð°ÑÐ°, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð² Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÐ²Ð¸Ð¸ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½ ÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ¸Ð¼Ð¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸ÑÐ¼Ð¸ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¿ÑÐ¸Ð±ÑÐ»Ð¸ Ð¸ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ Ð»Ð¾ÑÐ»ÑÐ½Ð¾ÑÑÐ¸, Ð° ÑÐ°ÐºÐ¶Ðµ Ð² Ð¿ÑÐ¸Ð²Ð»ÐµÑÐµÐ½Ð¸Ð¸ Ð½Ð¾Ð²ÑÑ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð².
description: The purpose of the work is to develop a prototype of the prototype of the recommender system of the choice of goods using filtering algorithms. The following tasks were solved: â machine learning methods in recommender systems were analyzed; â existing analogs of the recommendation system under development were studied; â technologies and tools for recommendation system development were selected; â a prototype of the recommender system was developed; â the results and development of the recommender system were evaluated. The relevance of the topic is determined by the need to develop a domestic analogue of the recommendation system to provide user recommendations to the user on the choice of goods, with the subsequent evaluation of its commercialization, as well as the calculation of economic efficiency of the already developed product and subsequent implementation. Methods used: statistical methods, general scientific methods, observation, analysis and synthesis, mathematical methods, machine learning methods. The sources of information were data from domestic and foreign research literature, official Internet resources and analytical agencies. As a result of the work done, a prototype of the product recommendation system was developed, which can be used by Russian companies to obtain additional profit and increase loyalty, as well as to attract new customers.