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Image recommendation system for K-Fashion clothing market : Focused on Performance Analysis of CBIR Algorithm

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 10th International Conference on Next Generation Computing 2024 (2024.11) 바로가기
  • 페이지
    pp.105-108
  • 저자
    Yu-bin Yang, Eung-Kyo Suh
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A468820

원문정보

목차

I. INTRODUCTION
A. Research Background and Necessity
B. Research Objectives and Scope
II. THEORETICAL BACKGROUND
A. Composition of Image Recommendation System
B. Classification of Algorithms for Similarity Search
C. Selection Criteria for CBIR Algorithms
III. SIMILARITY SEARCH EXPERIMENTS AND RESULTS
A. Experimental Procedures and Metrics
B. Components for Similarity Search
C. Similarity Experiment Measurement Results
D. Comprehensive Analysis
IV. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
References

저자

  • Yu-bin Yang [ Dept. of Metaverse convergence Graduate school, Dankook University ]
  • Eung-Kyo Suh [ Dept. of Metaverse convergence Graduate school, Dankook University Yongin, South Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004