Implementing Personalized Recommendation in Digital Media Art Design Using Machine Learning

被引：0
|
作者：
Chen, Qi [1 ]
机构：
[1] Department of Media, Nanchang Institute of Technology, Nanchang,330044, China
来源：
Computer-Aided Design and Applications | 2024年 / 21卷 / S21期
关键词：
Digital Media Art (DMA) not only drives innovation in the field of art but also opens up broader imaginative spaces for creators. This study focuses on utilizing big data-driven machine learning techniques to achieve precise; personalized recommendations in the computer-aided design (CAD) process of DMA. In response to the uniqueness of this field; we have customized and optimized the recommendation system to ensure that it better adapts to the designer's workflow. By capturing multidimensional data from designers during the creative process; this system can gain a deeper understanding of their creative intentions and provide more appropriate recommendations for design elements. Compared with traditional recommendation methods; the system pays more attention to the diversity of recommended content while maintaining recommendation relevance. The results show that the personalized recommendation system constructed based on this method performs well in user assessment; fully verifying its effectiveness in improving user satisfaction. By delving into the core technologies and methods of recommendation systems; not only has it brought accurate and efficient recommendation experiences to the field of CAD design; but it has also provided valuable practical experience and research ideas for the future development of recommendation systems. © 2024 U-turn Press LLC;
D O I：
10.14733/cadaps.2024.S21.166-180
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：166 / 180
相关论文
共 50 条
  • [1] Application of Digital Image Based on Machine Learning in Media Art Design
    Wu, Ciguli
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [2] A Survey on Personalized Movie Recommendation System Using Machine Learning
    Teppalwar, Vansh
    Sahoo, Kanhu Charan
    Jaiswal, R. C.
    Munot, Mousami, V
    [J]. SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 1, SMARTCOM 2024, 2024, 945 : 305 - 314
  • [3] Personalized Book Recommendation System using Machine Learning Algorithm
    Sarma, Dhiman
    Mittra, Tanni
    Hossain, Mohammad Shahadat
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (01) : 212 - 219
  • [4] Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms
    Chabane, Nail
    Bouaoune, Achraf
    Tighilt, Reda
    Abdar, Moloud
    Boc, Alix
    Lord, Etienne
    Tahiri, Nadia
    Mazoure, Bogdan
    Acharya, U. Rajendra
    Makarenkov, Vladimir
    [J]. PLOS ONE, 2022, 17 (12):
  • [5] Research on Personalized Recommendation System Based on Machine Learning
    Fang, Yong
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 1209 - 1213
  • [6] Personalized Learning Recommendation System in E-learning Platforms Using Collaborative Filtering and Machine Learning
    Alanya-Beltran, Joel
    [J]. 2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [7] Content's Personalized Recommendation for Implementing Ubiquitous Learning in Health 2.0
    Mendes Neto, F. M.
    da Costa, A. A. L.
    Sombra, E. L.
    Moreira, J. D. C.
    Valentim, R. A. M.
    Samper, J. J.
    do Nascimento, R. P. C.
    Flores, C. D.
    [J]. IEEE LATIN AMERICA TRANSACTIONS, 2014, 12 (08) : 1515 - 1522
  • [8] Machine Learning Based Social Media Recommendation
    Lai, Taiping
    Zheng, Xianghan
    [J]. PROCEEDINGS 2015 SECOND IEEE INTERNATIONAL CONFERENCE ON SPATIAL DATA MINING AND GEOGRAPHICAL KNOWLEDGE SERVICES (ICSDM 2015), 2015, : 28 - 32
  • [9] State-of-the-art Survey on Personalized Learning Path Recommendation
    Yun, Yue
    Dai, Huan
    Zhang, Yu-Pei
    Shang, Xue-Qun
    Li, Zhan-Huai
    [J]. Ruan Jian Xue Bao/Journal of Software, 2022, 33 (12): : 4590 - 4615
  • [10] Personalized Recommendation and Interaction of Digital Media Based on Collaborative Filtering Algorithm
    Tong, Jing
    Zhu, Wei
    Ren, Tingkui
    [J]. Computer-Aided Design and Applications, 2024, 21 (S23): : 300 - 316
12345