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SmartTips: Online Products Recommendations System Based on Analyzing Customers Reviews
Applied Sciences (Switzerland). 2022. Vol. 12. No. 17. Article 8823.
Ali N., Alshahrani A., Alghamdi A., Novikov B.
Online customers’ opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known as the “Problem of Information Overload”. Recommender systems have been recognized as a promising way of solving such problems. In this paper, a product recommendation system called “SmartTips” is introduced. The proposed model is built based on aspect-based sentiment analysis, which exploits customers’ feedback and applies the aspect term extraction model to rate various products and extract user preferences as well. Several factors were considered, including readers’ votes, aspect term frequency, opinion words’ frequencies, etc. We tested our model on benchmark datasets that are widely used, and the results show that it outperforms the baseline methods regarding the mean squared errors of generated predictions.
Ефимов К. Д., Журнал Новой экономической ассоциации 2026 № 72 С. 105–114
This study proposes a method for automatic detection of collusive behavior in electronic public procurement auctions based on analysis of the full bid trajectory. The empirical dataset comprises 508 auction histories from 2016–2020 collected from the RTS tender e-procurement platform; the positive class is labeled using case materials of the Federal Antimonopoly Service (FAS Russia), ...
Added: November 13, 2026
Sergey N. Koltcov, Budkovaia M., Surkov A. et al., IEEE Journal of Biomedical and Health Informatics 2026 P. 1–10
Large language models (LLMs) show promise for clinical decision support, but privacy constraints and unreliable free-text decisions limit deployment. We present Medotor, a locally deployed system for screening patients with chronic rhinosinusitis with nasal polyps (CRSwNP) for biologic therapy, and evaluate prompt design on 163 retrospective cases (132 eligible and 31 ineligible). Five models were ...
Added: November 13, 2026
Физулин А. В., Stepanyants V., Amerikanov A. et al., FUTURE TRANSPORTATION 2026 Vol. 6 No. 6 Article 264
Cooperative warning functions depend on whether V2X information becomes available in time to influence vehicle control. This article presents an event-based co-simulation framework coupling SUMO, ns-3 (ms-van3t), 5G-LENA NR sidelink and application records, with Sionna RT enabled for the intersection scenario. In 140 emergency-vehicle-warning runs, reducing mean packet reception ratio (PRR) from 0.9412 to 0.0675 ...
Added: November 12, 2026
Stoianova A. D., Trofimets V. Y., Matrokhina K. V., International Journal of Engineering, Transactions A: Basics 2025 Vol. 38 No. 4 P. 701–709
The article considers the issue of managerial decision-making in an oil and gas company, which is related to the class of multi-criteria choice problems. To improve the validity of decisions in the context of companies’ sustainable development it is proposed to implement a Decision Support System (DSS). A brief review of the existing methods of ...
Added: November 10, 2026
Sergei Koltcov, Ryumin D., Alexandr Axyonov et al., PeerJ Computer Science 2026 Article 12:e4141
Educational institutions face increasing pressure to adapt their curricula to the rapidly evolving demands of the job market, and recommender systems can be important tools to guide students in selecting courses that align with their career goals. We present EdFitter, a hybrid course recommendation system that combines pretrained text embeddings for retrieval with large language ...
Added: November 10, 2026
Guskov T., Gerke K., Kondratyuk N. et al., Molecular Simulation 2026 Vol. 52 No. 7 P. 546 – 555
Equilibration is often assumed rather than tested in molecular dynamics studies of confined liquid–liquid interfaces, even though different physical properties may relax on different time scales. In this work, equilibration is examined using an automated truncation method based on the marginal standard error rule. Interfacial geometry, wetting behaviour, and density-related properties are analysed for liquid–liquid ...
Added: November 10, 2026
Lukyanchuk V., Norman G., Kondratyuk N. et al., Scientific Reports 2026 Vol. 16 No. 1 Article 16435
Previously, it has been effectively shown that nuclear quantum effects (NQE) considerably influence the prediction of the warm dense hydrogen phase diagram. Here, we study the influence of NQE on the parameters of the conducting state formation in warm dense hydrogen using path integral molecular dynamics (PIMD) within the framework of the finite temperature density ...
Added: November 10, 2026
Cham: Springer, 2027.
This volume is Part VIII of the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, September 7–11, 2026. It contains 40 papers from the Research Track and the Applied Data Science Track and is published as volume 16948 of Lecture Notes in ...
Added: November 9, 2026
Avdoshin S.M., Pesotskaya E.Y., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 6, part 2 P. 133–146
Artificial intelligence has significantly reshaped contemporary software engineering practice,
changing how software systems are designed, implemented, tested, and maintained. Recent advances in large
language models and AI-assisted development tools have expanded the role of AI from supporting isolated
tasks to participating in multiple stages of the software lifecycle. In many development settings, software is
now created from high-level specifications ...
Added: November 8, 2026
Aleksei Samarin, Belous F., Торопов А. Г. et al., Technologies 2026 Vol. 14 No. 11 P. 1–21
Abstract
Automated interpretation of magnetic flux leakage (MFL) data is central to condition assessment of long-distance oil and gas pipelines. Yet, full-resolution panoramas are difficult to process without either suppressing small anomalies through resizing or fragmenting elongated objects at sliding-window boundaries. We propose MFL-ScrollNet, a recurrent sliding-window detector that formulates panoramic analysis as an ordered sequence ...
Added: November 8, 2026
IEEE Computer Society (Conference Publishing Services, CPS), 2026.
Added: November 7, 2026
Sergey Avdoshin, Elena Pesotskaya, Saleh H. et al., Procedia Computer Science 2026 Vol. 292 P. 1332–1341
The rapid development of generative large language models (LLMs) has intensified the need for reliable methods capable of distinguishing AI-generated text from human writing, especially in academic and professional settings. This paper presents the results of a systematic benchmarking study evaluating the performance and limitations of contemporary LLM-text detectors
applied to Russian-language academic content. We introduce ...
Added: November 7, 2026
Zhang Z., Ilvovsky D., Neurocomputing 2027 Vol. 710
Efficient management of the Key-Value (KV) cache is essential for deploying large language models (LLMs) in long-context scenarios, where memory requirements often exceed the capacity of resource-constrained hardware. Many existing training-free compression algorithms typically rely on attention-driven heuristics, but exhibit two key limitations. First, they require explicit attention score computation, which is difficult to reconcile ...
Added: November 5, 2026
Kolmogorova A., Ekaterina Yavshitz, Margolina A. et al., Association for Computational Linguistics, 2026.
Automatic classification of aphasia severity presents persistent challenges, particularly for languages with limited clinical speech re sources such as Russian. This paper explores a multimodal approach to severity estimation that combines acoustic and semantic representa tions of pathological speech. Acoustic features are extracted using pretrained Wav2Vec 2.0 models, while semantic information is obtained from the ...
Added: November 4, 2026
Association for Computational Linguistics, 2026.
Findings of the Association for Computational Linguistics: EMNLP 2026 ...
Added: November 3, 2026
Abdulkhadirov T., Ryumina E., Ryumin D. et al., Expert Systems with Applications 2026 Vol. 334 P. 1–29
Assessing human psychological characteristics from speech requires models that can jointly capture affective states, expressive behavior, and relatively stable personality traits. However, most existing speech-based frameworks address isolated tasks and use separate task-specific models. This leads to model proliferation and complicates inference in real-world intelligent systems. Unified models are also difficult to develop because few ...
Added: November 3, 2026
Kuznetsov S., CEUR Workshop Proceedings 2026 Vol. Vol-4247 P. 27–32
A method for constructing interpretable graph neural networks based on an ordered subsets of "interesting" formal concepts is proposed. Interestingness indices for selecting concepts are compared, namely frequency (extent size) and Δ-stability. The experimental results demonstrate that Δ-stability provides superior performance of the generated networks at the inference stage. ...
Added: November 2, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., Труды Института системного программирования РАН 2025 Т. 37 № 6-1 С. 7–20
В статье исследуется длина адаптивной различающей последовательности для семейства инициальных полностью определенных наблюдаемых, возможно, недетерминированных автоматов. Приводится верхняя оценка длины такой последовательности и показывается ее достижимость. Обсуждается, каким образом полученные результаты можно применить при построении адаптивных диагностических тестов на основе конечно-автоматной модели. ...
Added: October 31, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 4-1 С. 7–24
В статье усовершенствуется предложенная в предыдущей статье авторов модель кластеризованной распределённой сети с опросом, соответствующая сервис-ориентированной архитектуре. Целью опроса является нахождение ближайшего узла, готового оказать требуемую услугу (сервис) как можно раньше. Предлагаемые алгоритмы обеспечивают достижимость узлов, отсутствие дублирования сообщений, и обмен сообщениями с найденным узлом по кратчайшему пути. Кластеризованность сети означает, что в графе сети ...
Added: October 31, 2026
Kalicheva V., Kirina M., , in: Speech and Computer. 28th International Conference, SPECOM 2026, Ohrid, North Macedonia, September 17–18, 2026, Proceedings, Part I.: Springer, 2026. P. 320–337.
The rapid expansion of the online education market has produced large volumes of unstructured data—course reviews containing detailed evaluations of specific educational components. Aspect-based sentiment analysis (ABSA) makes it possible to move from a holistic assessment of the educational experience to an analysis of its individual constituents, identifying particular aspects of learning and students’ attitudes ...
Added: September 20, 2026
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
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 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