Перегляд за Автор "Vovk, M."

Зараз показуємо 1 - 2 з 2

Item Matching Based on Collection and Processing Customer Perceptionof Images
(CEUR Workshop Proceedings, 2020) Cherednichenko, O. Yu.; Vovk, M.; Ivashchenko, O.; Чередніченко, О. Ю.
The 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 match-ing 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 de-scription of a software product for comparing product images collected on online trading platforms. The user evaluates the product visually. The developed soft-ware 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 reac-tion 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.
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.