Применение рекомендательных систем на базе социальных сетей для изучения иностранных языков
Гл. 1. С. 195-197.
Саляева М. С., Vizgunov A. N.
Современные проблемы в области экономики, менеджмента, бизнес-информатики, юриспруденции социально-гуманитарных наук: материалы XI научно-практической конференции студентов и преподавателей НИУ ВШЭ - Нижний Новгород
Н. Новгород : Нижегородский филиал НИУ ВШЭ, 2013
, , , in : Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021, Proceedings. : Springer, 2021. P. 782-795.
Nowadays, due to the growing demand for interdisciplinary research and innovation, different scientific communities pay substantial attention to cross-domain collaboration. However, having only information retrieval technologies in hands might be not enough to find prospective collaborators due to the large volume of stored bibliographic records in scholarly databases and unawareness about emerging cross-disciplinary trends. To ...
Added: January 14, 2021
, , , in : WI '17 Proceedings of the International Conference on Web Intelligence. : ACM, 2017. P. 1069-1071.
Improving user experience through personalized recommendations is crucial to organizing the abundance of data on news websites. Modeling user preferences based on implicit feedback has recently gained lots of attention, partly due to growing volume of web generated click stream data. Matrix factorization learned with stochastic gradient descent has successfully been adopted to approximate various ...
Added: November 14, 2017
, , Russian Journal of Management 2017 № 2
*Реализация соц. сети Facebook запрещена на территории России по основаниям осуществления экстремистской деятельности. In the study, the authors evaluated the effectiveness of Social Media Marketing as a tool for brand promotion territory from the point of view of increase brand awareness and brand appeal. As object of research had chosen the Nizhny Novgorod city. The aim ...
Added: February 6, 2017
, В кн. : Традиции и инновации в преподавании иностранного языка в неязыковом вузе. Сборник материалов III Межвузовской научно-практической конференции. : М. : МГИМО-Университет, 2020. С. 167-172.
*Реализация соц. сети Instagram запрещена на территории России по основаниям осуществления экстремистской деятельности ...
Added: December 2, 2020
Neural Attention Mechanism and Linear Squeezing of Descriptors in Image Classification for Visual Recommender Systems
, , , Optical Memory and Neural Networks (Information Optics) 2020 Vol. 29 No. 4 P. 297-304
In this paper, we analyze effective methods of multi-label classification of image sets in development of visual recommender systems. We propose a two-step algorithm, which at the first step performs fine-tuning of a convolutional neural network for extraction of visual features. At the second stage, the algorithm concatenates the obtained feature vectors of each image ...
Added: October 25, 2019
, , , in : CLA 2008. Proceedings of the Sixth International Conference on Concept Lattices and Their Applications. : Olomouc : Palacky University, 2008. P. 157-166.
The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. A part of them can be recommended as future advertising terms to the company. The goal ...
Added: December 9, 2012
, , , in : Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems. : Hershey : IGI Global, 2012. Ch. 8. P. 185-195.
Recommender systems are becoming an inseparable part of many modern Internet web sites and web shops. The quality of recommendations made may significantly influence the browsing experience of the user and revenues made by web site owners. Developers can choose between a variety of recommender algorithms; unfortunately no general scheme exists for evaluation of their ...
Added: December 3, 2012
, , , in : Advances in Computational Intelligence. IWANN 2019. : Berlin : Springer, 2019. P. 667-677.
In this paper, we study the problem of predicting quantity of collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, formed by authors writing papers in co-authorship represented by edges between authors in the network. Our task is formulated as regression for edge weights, for which ...
Added: July 29, 2019
, , , in : Proceedings of the 6th International Conference on Similarity Search and Applications (SISAP 2013), Lecture Notes in Computer Science. Vol. 8199.: Berlin, Heidelberg : Springer, 2013. P. 206-212.
An important characteristic feature of recommender systems for web pages is the abundance of textual information in and about the items being recommended (web pages). To improve recommendations and enhance user experience, we propose to use automatic tag (keyword) extraction for web pages entering the recommender system. We present a novel tag extraction algorithm that ...
Added: September 27, 2013
, , Экономика и управление 2020 Т. 26 № 9 С. 975-985
Aim. The presented study aims to assess the impact of Internet platforms on the efficiency of com mercial and economic activities of agents, through the example of the European Union (hereinafter — the EU). Tasks. The authors consider the characteristics of the European Union’s marketplaces, assess the impact of social networks on consumer shopping habits, examine e-commerce statistics in the ...
Added: May 17, 2021
Рекомендации товаров по набору фотографий на основе нейросетевых методов агрегации векторов признаков изображений
, , В кн. : Сборник трудов V Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2019). : [б.и.], 2019.
In this paper we focus on the problem of user prediction in visual product recommender systems based on the given set of photos of products purchased by the user previously. We studied neural aggregation methods for image features extracted by the deep neural networks. We propose the novel two-stage algorithm. At first, the image features ...
Added: December 4, 2018
Всегда онлайн: использование мобильных технологий и социальных сетей современными подростками дома и в школе
, Вопросы образования 2016 № 1 С. 205-224
16–18-year-old students of Moscow schools and other educational institutions were surveyed to assess how the Russian school uses modern methods of e-learning, mobiles technologies and social media in the learning process. The sample covered 3,194 respondents. The study describes three waves of Russian school informatization and the challenges the system has been fac- ing over ...
Added: June 5, 2016
, , , , in : CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia. Issue 757.: M. : Higher School of Economics Publishing House, 2011. P. 122-126.
In this paper we propose two new algorithms based on biclustering analysis, which can be used at the basis of a recommender system for educational orientation of Russian School graduates. The first algorithm was designed to help students make a choice between different university faculties when some of their preferences are known. The second algorithm ...
Added: December 3, 2012
CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia
M. : Higher School of Economics Publishing House, 2011
Concept discovery is a Knowledge Discovery in Databases (KDD) research field that uses human-centered techniques such as Formal Concept Analysis (FCA), Biclustering, Triclustering, Conceptual Graphs etc. for gaining insight into the underlying conceptual structure of the data. Traditional machine learning techniques are mainly focusing on structured data whereas most data available resides in unstructured, often ...
Added: December 3, 2012
, , et al., , in : Proceedings of International Conference on Conceptual Structures 2014. Vol. 8577: Graph-Based Representation and Reasoning.: Springer, 2014. P. 287-292.
This paper considers a recommender part of the data anal- ysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This recommender sys- tem is able to recommend ideas, like-minded users and antagonists at the respective phases ...
Added: June 9, 2014
, Вестник Томского государственного университета. Философия. Социология. Политология 2013 № 2 (22) С. 113-116
Современная социальная активность носит проектно-сетевой характер. Это порождает особые требования к процессу обучения, профессиональной деятельности, в том числе - в плане морали. ...
Added: November 29, 2013
, , ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация 2020 Т. 12 № 2 С. 65-80
The worldwide spread of social networks provides new opportunities to collect data for various applied research. The geotagging function, which is present in most social networks, is extremely useful in the case of spatial research. For urban researchers, this is more than just an opportunity to collect a huge amount of information about the behavior ...
Added: November 5, 2020
, , et al., , in : Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland. : Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 327-335.
This paper discusses the recommender models and methods for crowdsourcing platforms. These models are based on modern methods of data analysis of object-attribute data, such as Formal Concept Analysis and biclustering. In particular, the paper is focused on the solution of two tasks – idea and antagonists recommendation – on the example of crowdsourcing platform ...
Added: June 9, 2014
, В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 223-224.
Данная работа посвящена актуальной теме автоматизации в машинном обучении на примере создания универсальной рекомендательной системы. В работе исследуются различные типы рекомендательных систем, акцент делается на подходы коллаборативной фильтрации. Изучаются методы автоматизации машинного обучения, на основе которых будет разработана данная рекомендательная система. ...
Added: October 31, 2020
, , , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers. Vol. 11832.: Cham : Springer, 2019. Ch. 26. P. 291-297.
In this paper we focus on the problem of multi-label image recognition for visually-aware recommender systems. We propose a two stage approach in which a deep convolutional neural network is firstly fine-tuned on a part of the training set. Secondly, an attention-based aggregation network is trained to compute the weighted average of visual features in ...
Added: December 22, 2019
Проблема доверия и современные информационно-коммуникативные технологии // Российский гуманитарный журнал. 2016. Том 5. № 2. с.233-242
, , Российский гуманитарный журнал 2016 Т. 5 № 2 С. 233-242
In this article, the authors study the problem of balance of trust and mistrust associated with the turbulence of modern society, redundancy, and heterogeneity of information and communication flows creating a contradictory picture of the world. Social networks are considered as one of the basic modern information resources creating previously unavailable opportunities for communication, interaction, ...
Added: November 19, 2017
Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling
, , et al., Expert Systems with Applications 2016 Vol. 55 P. 546-558
We present a new recommender system developed for the Russian interactive radio network FMhost. To the best of our knowledge, it is the first model and associated case study for recommending radio stations hosted by real DJs rather than automatically built streamed playlists. To address such problems as cold start, gray sheep, boosting of rankings, preference ...
Added: June 28, 2016
, , et al., , in : Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics. : Springer, 2020. P. 101-119.
Nowadays, a lot of scientists’ works aim to improve the quality of people’s life but it could be quite complicated without building a successful collaboration. Productive partnerships can increase research efficiency in many cases and make a huge impact on society. However, today there is no clear way to find such collaborators. In this paper, ...
Added: February 27, 2020
, , , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2015). : Buenos Aires : [б.и.], 2015. P. 87-98.
We propose a new algorithm for recommender systems with numeric ratings which is based on Pattern Structures (RAPS). As the input the algorithm takes rating matrix, e.g., such that it contains movies rated by users. For a target user, the algorithm returns a rated list of items (movies) based on its previous ratings and ratings ...
Added: October 23, 2015