title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÑÐµÐ¿ÐµÐ½Ð¸ Ð¾Ð±ÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð³Ð¾ ÑÐµÐ¹ÑÐ¸Ð½Ð³Ð° Ð½Ð° ÑÐ°Ð¹ÑÐ°Ñ -Ð°Ð³ÑÐµÐ³Ð°ÑÐ¾ÑÐ°Ñ
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 software system for determining the degree of user ratingâs objectivity on aggregator sites
Creators: name: Ð¨ÐµÐ»Ð°ÐµÐ², ÐÐ¸ÐºÐ¸Ñ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: 2024
Subjects: Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ð¹ ÑÐµÐ¹ÑÐ¸Ð½Ð³
Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ðµ Ð¾ÑÐ·ÑÐ²Ñ
ÑÐ°Ð¹Ñ-Ð°Ð³ÑÐµÐ³Ð°ÑÐ¾Ñ
Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÑÐ´Ñ
Ð¼ÐµÐ´Ð¸Ð°Ð½Ð½Ð°Ñ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ
Ð»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
Ð´ÐµÑÐµÐ²ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
Ð³ÑÐ°Ð´Ð¸ÐµÐ½ÑÐ½ÑÐ¹ Ð±ÑÑÑÐ¸Ð½Ð³
user rating
user reviews
aggregator site
time series
median filtering
linear regression
decision trees
gradient boosting

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description: The purpose of this work is to develop a high-performance software system that uses various methods to identify inconsistencies between real and expected user ratings for specific Internet content. In the course of the work, a comparison of existing approaches to analyzing user ratings for different aggregator sites was conducted. From this set, in accordance with the purpose of the work, an algorithmic method and some types of regression models of neural networks were selected. All these methods have been implemented and assessed on data close to real ones. As a result of such experiments, the optimal values of various parameters of the methods used were determined, and their correct operation was also proved. The paper presents the architecture and implementation of a software system that applies the proposed methods and allows real-time monitoring of the objectivity of user ratings for selected Internet content. Such a system can be successfully used in software products of different aggregator sites. The conclusions suggest ways to further improve this system.