?
Recommender System Based on Algorithm of Bicluster Analysis RecBi
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 was developed for the special situation when nothing is known about their preferences. The final version of this recommender system will be used by Higher School of Economics.
In book
Issue 757. , M. : Higher School of Economics Publishing House, 2011
Ignatov D. I., Kaminskaya A. Y., Malioukov A. 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
Ignatov D. I., Kaminskaya A. Y., Konstantinova N. 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
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
Utkina I. E., Batsyn M. V., Программные продукты, системы и алгоритмы 2017 № 4 С. 1-10
The Cell Formation Problem (CFP) is an NP-hard optimization problem considered for cellular man- ufacturing systems. Because of its high computational complexity there have been developed a lot of heuristics and almost no exact algorithms for solving this problem. In this paper we suggest a branch- and-bound algorithm which provides exact solutions for the CFP ...
Added: October 18, 2017
Gnatyshak D. V., Ignatov D. I., Semenov A. et al., , in : Concept Discovery in Unstructured Data. 2nd International Workshop, CDUD 2012, Leuven, Belgium, May 2012, Proceedings. Issue 871.: Leuven : Katholieke Universiteit Leuven, 2012. P. 30-39.
In this paper we propose two novel methods for analyzing data collected from online social networks. In particular we will do analyses on Vkontake data (Russian online social network). Using biclustering we extract groups of users with similar interests and find communities of users which belong to similar groups. With triclustering we reveal users’ interests ...
Added: November 20, 2012
Gnatyshak D. V., Ignatov D. I., Semenov A. et al., , in : Perspectives in Business Informatics Research. 11th International Conference, BIR 2012, Nizhny Novgorod, Russia, September 2012 Proceedings. Issue 128.: Berlin, Heidelberg : Springer, 2012. P. 162-171.
We combine bi- and triclustering to analyse data collected from the Russian online social network Vkontakte. Using biclustering we extract groups of users with similar interests and find communities of users which belong to similar groups. With triclustering we reveal users' interests as tags and use them to describe Vkontakte groups. After this social tagging ...
Added: December 3, 2012
Savchenko A., Дёмочкин К. В., Savchenko L., 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
Ignatov D. I., Nikolenko S. I., Abaev T. 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
Ahmed Munna M. T., Delhibabu R., , 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
Дёмочкин К. В., Savchenko A., 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
Ignatov D. I., Kuznetsov S., , 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
Karpov N., Shashkin P, , 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
Ignatov D. I., Корнилов Д. И., , 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
Leksin V., Nikolenko S. I., , 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
Demochkin K., Savchenko A., , 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
Сендерович М. А., 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
Ignatov D. I., Ivanova P., Zamaletdinova A. et al., , in : Supplementary Proceedings ICFCA 2019 Conference and Workshops. Vol. 2378.: CEUR Workshop Proceedings, 2019. P. 28-32.
This short paper is related to the problem of finding maximum quasi-bicliques in a bipartite graph (bigraph). A quasi-biclique in a bigraph is its “almost” complete subgraph; here, we assume that the subgraph is a quasi-biclique if it lacks γ · 100% of the edges to become a biclique. The problem of finding the maximal ...
Added: October 31, 2019
Ignatov D. I., Khvorykh G. V., Khrunin A. V. et al., / Springer. Series LNCS "Lecture Notes in Computer Science". 2020.
Missing genotypes can affect the effcacy of machine learning approaches to identify the risk genetic variants of common diseases and traits. The problem occurs when genotypic data are collected from different experiments with different DNA microarrays, each being characterised by its pattern of uncalled (missing) genotypes. This can prevent the machine learning classifier from assigning ...
Added: November 10, 2020
Gerasimova O., Makarov I., , 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
Саляева М. С., Vizgunov A. N., В кн. : 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. Гл. 1. С. 195-197.
В статье рассмотрены вопросы использования социальных сетей для обучения иностранному языку. В контексте поставленной задачи создан прототип информационной системы, который позволяет использовать алгоритмы рекомендательных систем для повышения эффективности обучения. ...
Added: February 5, 2014
Anna Averchenkova, Alina Akhmetzyanova, Sudarikov K. 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
Ignatov D. I., Poelmans J., , 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
Irina E. Utkina, Mikhail V. Batsyn, Ekaterina K. Batsyna, International Journal of Production Research 2018 Vol. 56 No. 9 P. 3262-3273
The Cell Formation Problem (CFP) is an important optimisation problem in manufacturing. It has been introduced in the Group Technology (GT) and its goal is to group machines and parts processed on them into production cells minimising the movement of parts to other cells for processing and maximising for each cell the loading of its ...
Added: March 11, 2018
Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014
This volume contains the papers selected for presentation at the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), held as part of the 2014 Web Intelligence Congress (WIC'14) at the University of Warsaw, Warsaw, Poland, from 11 to 14 in August, 2014. The conference was sponsored and co-organized by the IEEE Computer Society, the Web ...
Added: June 9, 2014