Перегляд за Автор "Yanholenko, O."

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Developing the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparison
(CEUR Workshop Proceedings, 2020) Cherednichenko, O. Yu.; Yanholenko, O.; Kanishcheva, O.; Чередніченко, О. Ю.
With the constant growth of the number of products on e-marketplaces, buyers feel hard to find and choose items that would satisfy all their needs and expectations. Search and filtering algorithms of recommender systems, although are striving to help users, still fail quite often due to incomplete and inaccurate description of items. The given work suggests to combine analysis of bothitem description and item image in order to construct groups of similar items. Since a person can define whether two items are similar or not looking at two images and a brief description, it is suggested to form a set of similar items based on users’ judgments and then to extract the core of keywords for the specific type of prod-ucts. Further, it is proposed to use the given core to evaluate the similarity of any new itemaddedto the definite group. The case study deals with the building of the core of keywords for sneakers. The developed key attributes allow matching the items with a high precision, thus, proving the effectiveness of the method of the core construction.
A Model for Estimating the Security Level of Mobile Applications: a Fuzzy Logic Approach
(CEUR Workshop Proceedings, 2020) Yanholenko, O.; Cherednichenko, O. Yu.; Yakovleva, O.; Arkatov, D.; Чередніченко, О. Ю.
In this paper a model for solving the problem of estimating the secu-rity level of mobile applications was proposed. The estimation is performed based on a fuzzy inference system of the Mamdani type. The input criteria were defined as the most important security threats by applying the Analytic hierar-chy process method. The pairwise comparison matrix was constructed from mobile security research on OWASP Top 10 Mobile Risks. The proposed methodology can be applied for any kind of mobile applications available for modern platforms, except specific cases when security analyst does not have a sufficient amount of information about the chosen application for performing the security level testing. Mobile security analysts can easily make further deci-sions about comprehensive mobile application security based on the results ob-tained with the help of the introduced model.
Multi-Agent Modeling of Project Management Processes in Distributed Teams
(CEUR Workshop Proceedings, 2021) Cherednichenko, O. Yu.; Matveiev, O. M.; Yanholenko, O.; Maneva, R.; Матвєєв, О. М.; Чередніченко, О. Ю.
Changes in the business environment, the innovative nature of projects, lack of necessary skills of project team members lead to increased uncertainty and inability to plan with a given degree of accuracy. Such projects use adaptive project and program management methodologies. In the field of information technology,the use of multi-agent systems is of particular interest. In the context of the use of multi-agent systems for the design of intelligent systems for various purposes, the development and study of a model and software implementation of a prototype of an agent platform are relevant. The aim of this work is to develop and research an agent platform that can be implemented in the work of the distributed team in order to improvetheassignment of tasks. The paper presents the formal agent architecture as a basis of multi-agent model. The task assignment is a case studyto implement and test multi-agent model prototype. The agent platform is developed based on Kotlin programming language. A prototype of the agent platform based on the FIPA specification allows to increase the productivity, scalability and interoperability of multi-agent system.
Towards Structuring of Electronic Marketplaces Contents: Items Normalization Technology
(CEUR Workshop Proceedings, 2020) Cherednichenko, O. Yu.; Yanholenko, O.; Vovk, M.; Sharonova, N.; Чередніченко, О. Ю.
The E-commerce industry is going strong and is bringing a great profit to its stakeholders. However, there is probably no buyer of the e-marketplace who has not faced the issues connected with inappropriate search results or inadequate filtering and recommendation of irrelevant products. Modern search and collab-orative filtering algorithms of e-commerce systems do work well with the input data of high quality but the reality is that often items’ description contains inac-curacies and incompleteness, which negatively affects the results. The given pa-per suggests the concept of e-marketplace items normalization which goal is to provide the unified and standardized patterns of items inside the system that can be used by search and filtering algorithms. Items normalization is implemented based on the algebra of predicates models specified in this work. The case study deals with constructing normalized models of knapsacks items from the online sports store. The developed models allowed to build 141 normalized item pat-terns with a unified set of attributes and their values.
Моделі формування рекомендацій у інтелектуальних системах електронної комерції
(Харківський національний університет Повітряних Сил імені Івана Кожедуба, 2020) Чередніченко, О. Ю.; Янголенко, О. В.; Іващенко, О. В.; Матвєєв, О. М.; Cherednichenko, O. Yu.; Yanholenko, O.; Ivashchenko, O.; Matveiev, O. M.
Результати роботи пошукових та фільтраційних механізмів сучасних систем електронної комерції не завжди задовольняють вимоги користувачів, що проявляється у неточних та неповних рекомендаціях товарів за пошуковим запитом. Удосконалення якості рекомендацій для покупців онлайн торгівельних платформ є актуальною задачею. Дана робота наводить моделі формування рекомендацій на основі методів кластерного аналізу, які дозволяють згрупувати схожі товари та схожих клієнтів за їхніми характеристиками. Наведені результати експерименту щодо формування рекомендацій придбання рюкзаків для покупців онлайн магазину спортивного обладнання.