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Интеграция Big Data в системы рекомендаций: технологии персонализации контента
Конкурентоспособность в глобальном мире: экономика, наука, технологии. 2024. № 9. С. 56–61.
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А., Смирнов А. П., Pshichenko D.
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are analyzed. The paper highlights examples of successful implementation of these technologies across various industries, including e-commerce, media, and the financial sector.
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2025 Т. 37 № 5 С. 7–32
Статья является продолжением предыдущей статьи авторов, в которой строится абстрактная модель распределенной сети, содержащей только хосты и коммутаторы. Хосты предлагают пользователям пакеты определенных услуг (сервисов), сообщения (запросы) между хостами пересылаются через промежуточные узлы по правилам коммутации, и настройка узлов определяет множество путей от хоста к хосту, по которым будут пересылаться пакеты. Ситуация моделируется с использованием ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2025 Т. 37 № 4-1 С. 7–30
В работе строится абстрактная модель распределенной сети, содержащей только хосты и коммутаторы, которая позволяет оценить классы задач, которые необходимо решать в такой сети, принимая во внимание, в том числе, нефункциональные параметры. Предполагается, что хосты предлагают пакеты определенных услуг (сервисов) и сообщения (запросы) между хостами пересылаются через промежуточные узлы по правилам коммутации. Правило определяет, каким соседним ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., PROGRAMMING AND COMPUTER SOFTWARE 2025 Vol. 51 No. 4 P. 224–241
In this paper, the problem of distributed network survivability is investigated. A distributed system is modeled by a finite connected undirected graph the nodes of which are divided into two types: hosts and switches. Hosts perform computational functions, while switches are used for message passing between hosts. The survivability of the system is understood as ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., Программирование 2025 № 4 С. 11–32
Исследуется проблема живучести распределенных сетей. Распределенная система моделируется конечным связным неориентированным графом, вершины которого делятся на два типа: хосты и коммутаторы. Хосты выполняют вычислительные функции, а коммутаторы обеспечивают доставку сообщений между хостами. Под живучестью системы понимается ее способность выполнять свои основные функции по передаче сообщений после выхода из строя некоторых ребер графа. Решение проблемы живучести ...
Added: October 30, 2026
M.: Pleiades Publishing, Ltd. (Плеадес Паблишинг, Лтд), 2025.
Programming and Computer Software is a peer-reviewed journal devoted to various problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc. The journal publishes original manuscripts submitted in English, as well as works translated from several other journals. The sources of content are indicated at the article level. The ...
Added: October 30, 2026
Karminsky A. M., Chernikov B. V., М.: НИЦ Инфра-М, 2026.
Рассмотрены методологические вопросы создания финансово-экономических информационных систем, проблемы информатизации производственной и дистрибьютерской деятельности, темы адаптации типовых систем в бизнес-структурах, в том числе систем поддержки офисной деятельности. Для студентов учреждений среднего профессионального образования, обучающихся по укрупненным группам специальностей 09.02.00 «Информатика и вычислительная техника», 38.02.00 «Экономика и управление», экономистов, юристов, предпринимателей и финансистов, а также специалистов и ...
Added: October 30, 2026
Guerreiro I., Sergey Skorokhod, di Volo M. et al., Communications in Nonlinear Science and Numerical Simulation 2027 Vol. 164 Article 110954
The collective dynamics of spiking networks of neurons has been of central interest to both computational
neuroscience and network science. Over the past years, a new generation of neural
population models based on exact reductions (ER) of spiking networks have been developed.
However, most of these efforts have been limited to networks of neurons with simple dynamics
(e.g. the ...
Added: October 29, 2026
Association for Computational Linguistics, 2026.
While Large Language Models (LLMs) have revolutionized NLP, they remain prone to hallucinations, reasoning “mode-collapse” in open-ended generation, and a lack of factual provenance. The Automated Knowledge Base Construction (AKBC) workshop addresses a key missing piece of the generative era: structured knowledge. Knowledge Bases (KBs) serve as ground truth for fact verification, the semantic backbone ...
Added: October 28, 2026
Ivanov D., ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация 2026 Т. 18 № 2 С. 13–29
This article addresses a methodological contradiction that arises when attempting to in- corporate artificial intelligence (AI) into qualitative sociological research grounded in the in- terpretivist paradigm. While in quantitative research, AI, at least at first glance, seamlessly fits into the natural-scientific ideal of “instrumental distancing”, for the qualitative tradition, which demands contextual sensitivity and proximity ...
Added: October 28, 2026
Nikitiuk B., Lenev D., Pisarev V. et al., Journal of Colloid and Interface Science 2026 Vol. 718 Article 140444
Hypothesis:Accurate determination of interfacial tension values is crucial for many modeling applications in the oil and gas industry. However, many of the presently used empirical and theoretical models show poor prediction accuracy and do not allow for direct consideration of the concentrations of gases and salts dissolved in the system as well as the specific ...
Added: October 28, 2026
Deshchenya V., Nikolay D. Kondratyuk, Sivakova A. et al., Chemical Engineering Sciences 2027 Vol. 337 Article 124616
Accurate prediction of complex formulation viscosity is crucial for the lubricant industry and engineering processes. However, developing generalizable models remains challenging due to the complexity of industrial mixtures and the scarcity of public experimental data, often resulting from corporate proprietary restrictions. This study presents a machine-learning workflow for viscosity estimation from a proprietary pseudonymized dataset, ...
Added: October 28, 2026
Zubov A., Zubov A., Малявко, Я. et al., Computer Physics Communications 2025 Vol. 317 Article 109860
The concept of representative volume (REV, or RVE in material sciences) is the cornerstone of continuum scale models – one needs to get the volume big enough so that it could be represented with an averaged value (scalar, vector or tensorial, etc.). While REV should be established in all larger scale simulations, this is rarely ...
Added: October 28, 2026
Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261
Abstract
Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...
Added: October 27, 2026
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52
Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...
Added: October 27, 2026
IEEE, 2026.
Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications"
(DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies,
engineering education, research and design of complex networks.
DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International
Forum on Artificial Intelligence and ...
Added: October 26, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20
We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...
Added: October 26, 2026
Sergei P. Zhdanov, Contemporary Educational Technology 2026 No. 18(4) Article 701
Generative artificial intelligence (GenAI) recently appeared as an issue of its time which has been
changing the educational landscape at a considerable rate and opening new pathways and
challenges for educators and learners. Therefore, in terms of GenAI for education this
bibliometric analysis will characterize the change and development by mapping trends and
patterns, examining prevalent subject areas in ...
Added: October 22, 2026
Obsie E. Y., Zhan Y., Liu Y., Engineering Research Express 2026 Article 7
Maintaining plant health is crucial for crop quality, food security, and agricultural productivity. Although deep learning methods have shown strong potential for species, disease, and severity classification, most existing approaches tackle these tasks separately, failing to exploit shared representations and interdependencies among them. Furthermore, the variability of disease symptoms, such as subtle differences in size, ...
Added: October 22, 2026
М.: Издательский дом НИУ ВШЭ, 2026.
В сборнике представлены отобранные оргкомитетом труды участников 17-й Международной научно-практической конференции студентов и аспирантов «Статистические методы анализа экономики и общества» из России, Армении, Беларуси и Китая, представляющих 27 вузов из 16 городов: Москва, Владивосток, Ереван, Йошкар-Ола, Минск, Новосибирск, Оренбург, Ростов-на-Дону, Санкт-Петербург, Саранск, Саратов, Севастополь, Уфа, Шахты, Шэньчжэнь, Электросталь.
Исследования посвящены вопросам статистической методологии, применению математико-статистических и ...
Added: October 21, 2026
Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813
In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...
Added: October 19, 2026
Vorontsova T., М.: Академия, 2025.
The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...
Added: October 19, 2026
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330
Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...
Added: October 14, 2026
Springer, 2026.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...
Added: October 13, 2026
Springer, 2026.
This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...
Added: October 13, 2026