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Алгоритмические рекомендательные системы и цифровые медиаплатформы: теоретические подходы
Информационное общество. 2022. № 6. С. 84–95.
The article examines the influence of algorithmic recommender systems on media communication processes in general and the formation of the information agenda in particular. The theoretical concepts of echo chambers, information bubbles, etc. are described. The user agreement and privacy policy of the VK platform are analyzed, the type of algorithm used on the digital media platform is explored.
Shirokov N. A., Rozenblum G., Israel Journal of Mathematics 2026 P. 1–30
We establish that a generalized H\¨older continuous function on an (m−2)-Ahlfors regular compact set in Rm can be approximated by solutions of an elliptic equation, with the rate of approximation determined by the continuity modulus of the function ...
Added: August 29, 2026
Avdoshin S.M., Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 No. 4 часть 2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Melnikov I., Pelinovsky E., Nonlinear Dynamics 2026 No. 114 Article 934
Pyramidal solitons (solitons with more than two inflection points) of the generalized Korteweg–de Vries (KdV) equation are investigated. Necessary and sufficient conditions for the existence of such structures are presented. Within the framework of the generalized Gardner equation — the simplest model that admits pyramidal solitons as solutions — it is shown that these solutions ...
Added: August 27, 2026
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Nesterenko A., Чирский В. Г., Матвеев В. Ю., Чебышевский сборник 2026 Т. 27 № 2 С. 118–127
The article presents the results of a practical study of the statistical properties of some sequences that are values of functions of a special type. ...
Added: August 26, 2026
Medushevsky A. N., Liberal.ru 2026
The Liberal Mission Foundation continues to introduce readers to new concepts of democracy and relevant publications. This discussion focuses on the challenges facing democracy in the era of globalization, as addressed in two recent books: *The Backsliders: Why Leaders Undermine Their Own Democracies* by S.C. Stokes (2025) and *Critical Theories and the Postsocialist Challenge: Race, ...
Added: August 26, 2026
Medushevsky A. N., Сравнительное конституционное обозрение 2026 Т. 35 № 2 (167) С. 4–29
In the context of the rapid changes in the modern world associated with globalization, informatiza tion, and the revision of ethical standards of mass behavior, legal theory faces a number of problems — the loss of consensus in understanding global constitutionalism, growing disagreements regard ing its values and principles, and unclear prospects for the future. ...
Added: August 26, 2026
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Джонов А. Т., Avdoshin S. M., Информационные технологии 2026 Т. 32 № 8 С. 421–427
This systematic review presents an analysis of the "Vibe Coding" methodology — a contemporary approach to the iterative software development process using Large Language Models (LLMs). Code generation tools are transforming software development by enabling programmers to formulate tasks and describe the desired behavior of software in natural language, while LLMs generate source code corresponding ...
Added: August 25, 2026
Блудов М. В., Journal of Fixed Point Theory and Applications 2026 No. 28 Article 73
In this paper, we study a construction of homotopy invariants of open or closed covers, where the homotopy class is defined relative to a pair (V, r), with V a finite set of points in and r a point in the interior of their convex hull. We show that the simplicial complex of non-balanced subsets associated with (V, r) has the homotopy ...
Added: August 25, 2026
Melman A., Evsyutin O., Journal of the Franklin Institute 2026 Vol. 363 No. 15 Article 109005
Open access to images creates opportunities for violation of the authors' rights. Digital watermarks can be used to securely publish images online. They are invisibly added into the images before publication and can be extracted at any time to verify ownership. However, achieving a balance between embedding imperceptibility and robustness to image processing operations is ...
Added: August 25, 2026
L.I. Kuzmina, Osipov , Y. V., Kolokoltseva, T. N., Advances in Water Resources 2026 Vol. 213 Article 105335
We study 1D transport of mobilized particles, detached from the solid matrix, in porous media (so-called fines migration). Three types of colloidal-suspension flow models are considered: (i) averaged model for multicomponent colloids with distributed properties; (ii) flow of binary colloids with interacting particles; (iii) discrete system for multicomponent low-concentration colloid. These models account for distributed ...
Added: August 25, 2026
Anna Volodkevich, Dmitry A., Gusak D. et al., , in: SIGIR '26: Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.: Association for Computing Machinery (ACM), 2026. P. 3434–3441.
Offline evaluation of recommender systems is often affected by hidden, under-documented choices in data preparation. Seemingly minor decisions in filtering, handling repeats, cold-start treatment, and splitting strategy design can substantially reorder model rankings and undermine reproducibility and cross-paper comparability.
In this paper, we introduce SplitLight, an open-source exploratory toolkit that enables researchers and practitioners designing preprocessing ...
Added: July 22, 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
Liakhnovich K., Lashinin O., Babkin A. et al., Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval 2025 P. 2754–2758
Relevance and diversity are critical objectives in modern information retrieval (IR), particularly in recommender systems. Achieving a balance between relevance (exploitation) and diversity (exploration) optimizes user satisfaction and business goals such as catalog coverage and novelty. While existing post-processing reranking methods address this trade-off, they usually rely on greedy strategies, leading to suboptimal outcomes for ...
Added: February 3, 2026
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
Gusak D., Volodkevich A., Klenitskiy A. et al., , in: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems.: ACM, 2025. P. 874–883.
Modern sequential recommender systems, ranging from lightweight transformer-based variants to large language models, have become increasingly prominent in academia and industry due to their strong performance in the next-item prediction task. Yet common evaluation protocols for sequential recommendations remain insufficiently developed: they often fail to reflect the corresponding recommendation task accurately, or are not aligned ...
Added: January 26, 2026
Yusupov V., Rakhuba M., Frolov E., , in: CIKM '25: Proceedings of the 34rd ACM International Conference on Information and Knowledge Management.: ACM, 2025. Ch. 1 P. 5469–5473.
In this work, we present a fast and effective Linear approach for updating recommendations in a scalable graph-based recommender system UltraGCN. Solving this task is extremely important to maintain the relevance of the recommendations under the conditions of a large amount of new data and changing user preferences. To address this issue, we adapt the ...
Added: October 3, 2025
Yusupov V., Rakhuba M., Frolov E., , in: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems.: ACM, 2025. Ch. 1 P. 1217–1221.
Recent studies have demonstrated the potential of hyperbolic geometry for capturing complex patterns from interaction data in recommender systems. In this work, we introduce a novel hyperbolic recommendation model that uses geometrical insights to improve representation learning and increase computational stability at the same time. We reformulate the notion of hyperbolic distances to unlock additional ...
Added: October 3, 2025
I. Safilo, D. Tikhonovich, Petrov A. et al., Doklady Mathematics 2023 Vol. 108 No. 2 P. S456–S464
We present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform. In contrast to other popular movie recommendation datasets, such as MovieLens or Netflix, our dataset is based on the implicit interactions registered at the watching time, rather than on explicit ratings. We also provide rich ...
Added: May 24, 2025
Anna Volodkevich, Ivanova V., Vasilev A. et al., , in: Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part IV.: Springer, 2025. P. 425–430.
Simulators for recommender systems are widely used for recommender systems performance evaluation and feedback loop effects analysis. Existing simulators often propose inflexible pipelines, are focused on narrow research tasks, or are not adapted to work with industrial large data volumes. To address these challenges, we developed the Sim4Rec simulation framework. The Sim4Rec models key aspects ...
Added: April 10, 2025
Gleb Mezentsev, Danil Gusak, Ivan Oseledets et al., , in: RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems.: Association for Computing Machinery (ACM), 2024. P. 475–485.
Added: January 16, 2025
M. Shirokikh, Shenbin I., Alekseev A. et al., Journal of Mathematical Sciences 2024 Vol. 285 No. 2 P. 255–284
Over the last several decades, recommender systems have become an integral part of both our daily lives and the research frontier at machine learning. In this survey, we explore various approaches to developing simulators for recommendation systems, especially for modeling the user response function. We consider simple probabilistic models, approaches based on generative adversarial networks, ...
Added: November 24, 2024
Tamm Y., Damdinov R., Vasilev A., , in: RecSys '21: Proceedings of the 15th ACM Conference on Recommender Systems.: Association for Computing Machinery (ACM), 2021. P. 708–713.
Added: November 24, 2024