Visual similarity-based fashion recommendation system

dc.contributor.authorAy, Betul
dc.contributor.authorAydin, Galip
dc.date.accessioned2026-08-12T16:16:06Z
dc.date.issued2021
dc.departmentFırat Üniversitesi
dc.description.abstractFashion recommendation systems are designed to retrieve a ranked list of catalog images similar to the target catalog image. These systems are crucial in helping customers move toward potential buying decisions from recommended products. Catching true correlation between similar product recommendations and user satisfaction will exponentially improve sale experience of companies. One of the major tasks in fashion recommendation systems is accurately finding similar images for a given product image. © 2021 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/B978-0-12-823519-5.00023-3
dc.identifier.endpage203
dc.identifier.isbn978-012823519-5
dc.identifier.scopus2-s2.0-85126812653
dc.identifier.scopusqualityN/A
dc.identifier.startpage185
dc.identifier.urihttps://doi.org/10.1016/B978-0-12-823519-5.00023-3
dc.identifier.urihttps://hdl.handle.net/11508/44056
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofGenerative Adversarial Networks for Image-to-Image Translation
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectConvolutional neural network (CNN); Fashion recommendation system; Generative adversarial network (GAN); Image similarity; Visual search and similarity
dc.titleVisual similarity-based fashion recommendation system
dc.typeBook Chapter

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