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Применение рекомендательных систем на базе социальных сетей для изучения иностранных языков
Гл. 1. С. 195–197.
Саляева М. С., Vizgunov A. N.
In book
Н. Новгород: Нижегородский филиал НИУ ВШЭ, 2013.
Grishina E., Stepan Kuznetsov, Tsyganov A. et al., , in: KDD '26: Proceedings of the 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.: Association for Computing Machinery (ACM), 2026. P. 1310–1321.
The ranking of recommendation algorithms is a challenging problem since model performance is sensitive to dataset characteristics such as sparsity, sequential structure, and scale. This drives a demand for a proper methodology for fair comparison between algorithms. Naive aggregation of performance metrics (e.g., averaging NDCG over benchmarks) can yield misleading rankings, undermining practical selection. To ...
Added: August 7, 2026
Герцен А. С., Современная наука: актуальные проблемы теории и практики. Серия: Гуманитарные науки 2026 С. 192–194
The article deals with the variation of respondents’ assessments of text characteristics depending on the social factors «Age» and «Gender». The relevance of the topic is stipulated by researchers’ increased attention to everyday digital communication and its role in society as well as its key linguistic features. An experimental study was conducted using a directed ...
Added: July 2, 2026
Severin N., Kartushov D., Urzhumov V. et al., , in: Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 – April 2, 2026, Proceedings, Part II. (LNCS, volume 16484).: Cham: Springer Publishing Company, 2026. P. 508–517.
Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain limited in cap-turing rich user semantics beyond interaction patterns. Large Language Models (LLMs) present opportunities to enhance user understanding with their reasoning capabilities, yet existing integration approaches cre-ate prohibitive inference costs in real time. To address these limitations, we present a ...
Added: June 18, 2026
Varnavsky A., , in: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641).: Springer, 2026. P. 239–252.
An urgent task is to preserve and maintain the health of the country’s population, including through the promotion of a healthy lifestyle. Since social networks are very popular, especially among young people, it is possible to promote a healthy lifestyle on their basis. Despite the existing research on the influence of social networks on user ...
Added: May 7, 2026
Ankudinov I., Социология: методология, методы, математическое моделирование 2025 № 61 С. 165–203
The changing political mood of Russians is a constant subject of interest for sociological agencies. With the development of the Internet, conventional questionnaire research began to be supplemented by online surveys and, despite some skepticism, by social media mining. This article attempts to adjust an accidental web-sample so as to bring its estimates closer to ...
Added: April 22, 2026
Tatarko A., Maklasova E., Lepshokova Z. et al., В кн.: Методики диагностики и программы исследования в социальной, политической и экономической психологии.: Институт психологии РАН, 2026. С. 876–903.
Цель данной работы состояла в разработке и апробации методики, позволяющей оценить степень вовлеченности в использование индивидом информационно-коммуникационных технологий в различных сферах жизни. В статье описаны этапы создания и валидизации авторской методики. Структура методики верифицировалась на выборке 859 респондентов. Валидность методики оценивалась на выборке, в которую вошел 171 респондент. В статье приводятся результаты эксплораторного факторного анализа, ...
Added: March 19, 2026
Smirnov A., Экономика региона 2022 Т. 18 № 1 С. 133–145
The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion ...
Added: March 18, 2026
Smirnov A., Демографическое обозрение 2022 Т. 9 № 2 С. 42–64
The digitalization of the economy and public life has expanded the possibilities of studying the population using digital traces – information that accumulates in the digital environment. Using digital traces, the article explores the migration of the population of the Russian Arctic, a huge macro-region that has experienced a significant outflow of population over the ...
Added: March 18, 2026
Yusupov V., Sukhorukov N., Frolov E., User Modelling and User-Adapted Interaction 2026 Vol. 36 Article 2
Graph-based recommender systems have emerged as a powerful paradigm for personalized recommendations. However, their reliance on full model retraining to incorporate new users or new interactions creates scalability barriers. The task becomes infeasible in real-life recommender systems due to excessive time and resource costs involved. To address this limitation, we propose a fast and efficient ...
Added: March 15, 2026
Fedorov A., В кн.: Социокультурные институты и культурные практики в Республике Марий ЭлВып. 3.: Йошкар-Ола: Марийский государственный университет, 2017. С. 27–31.
В статье анализируются причины разочарования (усталость аудитории от рекламы, алгоритмические ограничения соцсетей), а также успешные кейсы, где социальные сети помогли сформировать лояльные профессиональные сообщества. Делается вывод, что ожидания трансформировались: социальные сети стали не столько каналом массового привлечения читателей, сколько средой для удержания существующей аудитории и оперативного информирования экспертов. ...
Added: March 13, 2026
Халиков К., Roshchina Y., Экономическая социология 2026 Т. 27 № 1 С. 43–78
The aim of this study is to assess the impact of various factors, including social networks, on labor market mobility in modern Russia. The main assumption is that weak ties facilitate taking a better job. The empirical base consists
of data from the Russian Longitudinal Monitoring Survey (RLMS) of HSE for 2016–2017 and 2018–2019. Based on exploratory factor analysis, ...
Added: March 1, 2026
Maltseva S. V., Голубцов П. В., Барахнин В. Б., Вычислительные технологии 2026 Т. 31 № 1 С. 5–22
The issues of macro-level monitoring of the manufacturing system in the implementation of the concepts of Industry 4.0 and 5.0 based on the study of information flows in manufacturing network structures are considered. The numerical models of three types of network interaction, that taking into account the influence of the number of objects, external influences, ...
Added: February 26, 2026
Bocharova A., Денисов И. Е., Зуенко И. Ю., Вестник Санкт-Петербургского университета. Востоковедение и африканистика 2025 Т. 17 № 2 С. 366–377
The article focuses on analyzing the perceptions of recent changes in China’s demographic pol-icy by the contemporary Chinese society. These changes involved the relaxation of restrictions on the number of children in a family, first to two children in 2015 and subsequently to three children in 2021. The relevance of this research stems from the ...
Added: February 19, 2026
Халиков К., Экономическая социология 2026 Т. 27 № 1 С. 43–78
The aim of this study is to assess the impact of various factors, including social networks, on labor market mobility in modern Russia. The main assumption is that weak ties facilitate taking a better job. The empirical base consists of data from the Russian Longitudinal Monitoring Survey (RLMS) of HSE for 2016–2017 and 2018–2019. Based ...
Added: February 11, 2026
Klenitskiy A., Anna Volodkevich, Pembek A. et al., ACM Transactions on Recommender Systems 2026
Sequential recommender systems are an important and in-demand area of research. These systems aim to use the order of interactions in a user’s history to predict future interactions. The premise is that the order of interactions and sequential patterns play an essential role. Therefore, it is crucial to use datasets that exhibit a sequential structure ...
Added: January 28, 2026
Anna Volodkevich, Danil Gusak, Klenitskiy A. et al., User Modelling and User-Adapted Interaction 2025 No. 35 Article 13
The goal of modern sequential recommender systems is often formulated in terms of next-item prediction. In this paper, we explore the applicability of transformer-based generative models for the Top-K sequential recommendation task, where the goal is to predict items that a user is likely to interact with in the “near future.” This goal aligns with ...
Added: January 26, 2026
Klenitskiy A., Fatkulin A., Denisova D. et al., , in: RecSysChallenge '25: Proceedings of the Recommender Systems Challenge 2025.: Association for Computing Machinery (ACM), 2025. P. 26–30.
Building universal user representations that capture the essential aspects of user behavior is a crucial task for modern machine learning systems. In real-world applications, a user’s historical interactions often serve as the foundation for solving a wide range of predictive tasks, such as churn prediction, recommendations, or lifetime value estimation. Using a task-independent user representation ...
Added: January 26, 2026