• E-ISSN3022-5388

Article Detail

Home > Article Detail
  • E-ISSN 3022-5388

Development of a Shoe Recommendation Model for Matching Outfits Using Generative Artificial Intelligence

Journal of Korean Artificial Intelligence Association / Journal of Korean Artificial Intelligence Association, (E)3022-5388
2023, v.1 no.1, pp.7-10
https://doi.org/10.24225/jkaia.2023.1.1.7
Jun Woo CHOI (Medical Intelligence Information Center)
  • Downloaded
  • Viewed

Abstract

This study proposes an AI-based shoe recommendation model based on user clothing image data to solve the problem of the global fashion industry, which is worsening due to factors such as the economic downturn. Shoes are an important part of modern fashion, and this research aims to improve user satisfaction and contribute to economic growth through a generative AI-based shoe recommendation service. By utilizing generative AI in the personalized consumer market, we show the feasibility, efficiency, and improvements through an accessible web-based implementation. In conclusion, this study provides insights to help fulfill consumer needs in the ever-changing fashion market by implementing a generative AI-based shoe recommendation model.

keywords
AI-based recommendation, Generative AI, Image data, shoe recommendation


Submission Date
2023-12-18
Revised Date
2023-12-27
Accepted Date
2023-12-30
상단으로 이동

Journal of Korean Artificial Intelligence Association