Перегляд за Автор "Ivashchenko, Oksana"
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Документ Item Matching Based on Collection and Processing Customer Perception of Images(2020) Cherednichenko, Olga; Vovk, Maryna; Ivashchenko, OksanaThe number of sellers and goods being sold on the e-marketplaces is growing, so the volume of data stored and processed by e-commerce information systems is increasing drastically. That is why the development of performance solutions is quite relevant. The given paper provides the approach of item matching based on the human perception of item images. The main goal of the study is to build a model for assessing the similarity of items. This paper provides a description of a software product for comparing product images collected on online trading platforms. The user evaluates the product visually. The developed software implements the crowdsourcing data collecting based on the comparator identification method. The use of this method involves an experiment in which the user is offered two images, by comparing which the determined binary reaction is obtained. The results show the perspective of the mobile client application as part of an item matching system that aims to optimize the search for products on the Internet.Документ Modern problems of computer science and IT-education(Premier Publishing s.r.o., Vienna, Austria, 2020) Aleksiyev, Volodymyr; Bilova, Mariia; Borysova, Natalia; Cherednichenko, Olga; Fedorchenko, Volodymyr; Goloskokov, Alexander; Goloskokova, Anna; Harasymchuk, Oleh; Havrylova, Alla; Holubnychyi, Dmytro; Ivashchenko, Oksana; Kalachova, Veronika; Kozulia, Mariia; Kozulia, Tatiana; Liutenko, Iryna Victorivna ; Melnyk, Karina; Melnyk, Marharyta; Milov, Oleksandr; Opirskyy, Ivan; Romaschenko, Natalya; Ryabukha, Yurii; Salo, Nataliia; Shmatko, Olexander; Soroka, Mykhailo; Tretiak, Viacheslav; Trystan, Andrii; Vlasov, Andrii; Vovk, Maryna; Yanholenko, Olha; Yevseiev, S. P.The collective monograph highlights modern problems of development and using information technologies for resolving some issues in different domain areas. The proposed theoretical methodologies, models and practical approaches are considered and investigated in the context of IT-education, software engineering, artificial intelligence and cybersecurity. Every chapter describes methods, efficient algorithms and resolutions specific for the particular domain area and field of knowledge.