DOI QR코드

DOI QR Code

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

생성형 인공지능을 활용한 신발 추천 모델 개발

  • Jun Woo CHOI (Medical Intelligence Information Center)
  • Received : 2023.04.18
  • Accepted : 2023.06.30
  • Published : 2023.06.30

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

References

  1. Kim, D. (2022). "Korean Shoe Market Anticipates 7.5% Growth, Forecasted at 7 Trillion Won This Year... Startups Surging in the Pandemic." THE STOCK. Retrieved from https://www.the-stock.kr/news/articleView.html?idxno=16619
  2. Kim, E., & Lee, M. (2010). "A Study on Shoe Design in Fashion Collections - Focus on the Collections of Paris, Milan, New York, and London from 2001 S/S to 2008/09 F/W." Journal of the Korean Society of Fashion Design, 10(1), 1-19.
  3. Kim, M., & Kim, J. (2021). "A Study on Satisfaction with AI Recommendation Services in Fashion Online Shopping Malls - Focused on the MZ Generation." Journal of the Korean Society of Design Culture, 27(3), 15-26. https://doi.org/10.18208/ksdc.2021.27.3.15
  4. Kim, W., Yoon, J., Kim, H., & Jeon, S. (2021). "Deep Learning Based on Foot Parameters Estimation for Shoe Recommendation Service." Proceedings of the Korean Computer Information Conference, 29(2), 549-550.
  5. Kim, Woon-Yong, Yoon, Jung-Rok, Kim, Hoi-Min, & Jeon, Sung-Kook. (2021). Deep Learning-Based Foot Parameter Estimation for Shoe Recommendation Service. Journal of the Korea Computer Information Science Society, 29(2), 549-550.
  6. Lee, E., Eo, M., & Park, M. (2019). "Current Status and Competitiveness Analysis of the Footwear Industry." Journal of the Korean Society of Clothing and Textiles, 21(1), 59-72.
  7. Moon, C., Kim, B., Lee, J., Kim, Y., Kim, D., Kim, D., ... & Kim, J. (2023). "Image Processing-Based Intelligent Shoe Recommendation System." Proceedings of the Korean Institute of Communication Sciences Conference, 408-409.
  8. Moon, J., & Lee, S. (2011). "Survey on University Students' Preferences for Shoe Designs." Journal of Formative Media Studies, 14(1), 69-76.
  9. Oh, M., & Kim, I. (2014). "The Impact of Consumer Attitudes toward Fashion Products Based on SNS Characteristics on Purchase Intention and Online Word-of-Mouth." Journal of the Korean Society of Fashion Design, 14(1), 101-120.
  10. Park, H. (2022). "Digital Transformation Strategies for Enhancing Competitiveness in the Domestic Fashion Industry." KIET Industrial Research Institute, 17-20.
  11. Song, H., Ko, M., & Yoo, J. (2020). "Fashion Analysis Technology Utilizing Artificial Intelligence." Proceedings of the Korean Society for Broadcasting and Media Engineering Conference, 551-552.
  12. Song, M. (2021). "Development of AI-Based Fashion Recommendation Service: Introduction to Samsung C&T Industry-Academia Research." ie Magazine, 28(1), 12-16.