Developing the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparison

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dc.contributor.authorCherednichenko, O. Yu.en
dc.contributor.authorYanholenko, O.en
dc.contributor.authorKanishcheva, O.en
dc.contributor.authorЧередніченко, О. Ю.uk
dc.date.accessioned2023-05-06T13:57:38Z
dc.date.available2023-05-06T13:57:38Z
dc.date.issued2020
dc.description.abstractWith 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.en
dc.identifier.citationCherednichenko, O., Yanholenko, O., & Kanishcheva, O. (2020). Developing the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparison. Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020) : proceedings of the 2nd International Workshop. CEUR Workshop Proceedings, 2631, 237–247.en
dc.identifier.citationCherednichenko O., Yanholenko O., Kanishcheva O. Developing the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparison. Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020) : proceedings of the 2nd International Workshop. CEUR Workshop Proceedings. 2020. Vol. 2631. P. 237–247.en
dc.identifier.issn1613-0073
dc.identifier.orcidhttps://orcid.org/0000-0002-9391-5220
dc.identifier.orcidhttps://orcid.org/0000-0001-7755-1255
dc.identifier.orcidhttps://orcid.org/0000-0002-9035-1765
dc.identifier.urihttps://dspace.mipolytech.education/handle/mip/213
dc.language.isoenen
dc.publisherCEUR Workshop Proceedingsen
dc.relation.ispartofModern Machine Learning Technologies and Data Science (MoMLeT+DS 2020) : proceedings of the 2nd International Workshop. CEUR Workshop Proceedings. 2020. Vol. 2631. P. 237–247.en
dc.subjectE-commerceen
dc.subjectitem’s imagesen
dc.subjectsimilarity itemsen
dc.subjectimage similarityen
dc.subjectimages matchingen
dc.subjecttag similarityen
dc.subjectkey attributesen
dc.titleDeveloping the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparisonen
dc.typeArticle
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