Fashion Outfit Generation for E-Commerce

Bettaney, Elaine M.; Hardwick, Stephen R.; Zisimopoulos, Odysseas; Chamberlain, Benjamin Paul

doi:10.1007/978-3-030-67670-4_21

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…These studies aim to enhance the annotation process's object identification, segmentation, and classification algorithms [34,35,39,40,. Another group of studies develops techniques for advising and helping customers by pairing products or examining the textures of garments [78][79][80][81]84,[121][122][123][124][125][126][127][128]. Additionally, some authors [32, are developing virtual reality technology to help customers with clothing fitting.…”

Section: Ai In B2c Retail and Application Areas Of The Techniquesmentioning

confidence: 99%

“…In order to transition the traditional buying experience to e-commerce, NLP is mostly utilized for fashion advice and recommendations [34,78,79,124,126,[155][156][157][158][159][160][161][162][163][164][165][166][167][168]. Another significant area of study focuses on gathering data from consumers using sentiment analysis techniques, such as via reviews or social media [42,44,[169][170][171][172][173][174][175][176][177][178][179][180].…”

Section: Ai In B2c Retail and Application Areas Of The Techniquesmentioning

confidence: 99%

“…Amazon5-core [163] AmazonDresses [94] AmazonFashion [122] Amazonfashiondataset [73] ane-commerceplatform [50] ASOS [124] CCP [97] Clothing1M [70] Collar-6 [49] Collected [76,91-93,96,98,100,110,112,114,136,137,145,149,151,152,201,…”

Section: Databases Citationsmentioning

confidence: 99%

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Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

Goti,

Querejeta-Lomas,

Almeida

et al. 2023

Mathematics

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Many industries, including healthcare, banking, the auto industry, education, and retail, have already undergone significant changes because of artificial intelligence (AI). Business-to-Customer (B2C) e-commerce has considerably increased the use of AI in recent years. The purpose of this research is to examine the significance and impact of AI in the realm of fashion e-commerce. To that end, a systematic review of the literature is carried out, in which data from the Web Of Science and Scopus databases were used to analyze 219 publications on the subject. The articles were first categorized using AI techniques. In the realm of fashion e-commerce, they were divided into two categories. These categorizations allowed for the identification of research gaps in the use of AI. These gaps offer potential and possibilities for further research.

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