Personalized Design of Food Packaging Driven by User Preferences

被引:0
|
作者
Yan, Yan [1 ]
Tang, Chen [1 ]
Zhang, Liqun [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Design, Shanghai, Peoples R China
关键词
User preferences; Generative design; Personalized recommendations; Packaging;
D O I
10.1007/978-3-030-19135-1_50
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The rapid development of Internet information technology and the accelerated integration of manufacturing industry have made great progresses in manufacturing technology and reconstructed the supply and demand relationship between users and products in manufacturing. Internet-based user customization is a new mode of information technology advancement and supply-demand relationship reconstruction. The generative design that is gradually being formed is a new creation behavior in personalized customization. This paper is focused on the way of how to model user preference knowledge and graph generation parameters. In the food consumer market, a new generation of consumers have strong demand for personalized food packaging, providing users with personalized colors of packaging, which will greatly enhance users' tasting and purchasing desires. This study selects the taste preferences of user preferences and the color parameters of the graphical parameters. The neural network model was established to observe the taste preference and commonness of color. The proposed mechanism is experimentally verified and specific Demonstration in design practice.
引用
收藏
页码:514 / 523
页数:10
相关论文
共 50 条
  • [31] Personalized Trip Planning Considering User Preferences and Environmental Variables with Uncertainty
    Kim, Mingu
    Hong, Seungwoo
    Suh, Il Hong
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2019, E102D (11) : 2195 - 2204
  • [32] Preference Mining: A novel approach on mining user preferences for personalized applications
    Holland, S
    Ester, M
    Kiessling, W
    KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2003, PROCEEDINGS, 2003, 2838 : 204 - 216
  • [33] An Automatic Personalized Photo Recommender System based on Learning User Preferences
    Arya, Sweta
    Sen, Debashis
    Raman, Balasubramanian
    2016 IEEE ANNUAL INDIA CONFERENCE (INDICON), 2016,
  • [34] Personalized Egocentric Video Summarization of Cultural Tour on User Preferences Input
    Varini, Patrizia
    Serra, Giuseppe
    Cucchiara, Rita
    IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 19 (12) : 2832 - 2845
  • [35] #HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
    Zhang, Yuji
    Zhang, Yubo
    Xu, Chunpu
    Li, Jing
    Jiang, Ziyan
    Peng, Baolin
    2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021), 2021, : 7811 - 7820
  • [36] An User Interest Ontology Based on Trusted Friends Preferences for Personalized Recommendation
    Frikha, Mohamed
    Mhiri, Mohamed
    Gargouri, Faiez
    INFORMATION SYSTEMS, EMCIS 2017, 2017, 299 : 54 - 67
  • [37] Ontology-based user preferences Bayesian model for personalized recommendation
    Jin, C. (jinchun@dlut.edu.cn), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09):
  • [38] Personalized product design and user review and experience analysis: A data-driven hybrid novel approach
    Lan, Shulin
    Jiang, Yinfei
    Guo, Tao
    Li, Shaochun
    Yang, Chen
    Edwin Cheng, T.C.
    Sethanan, Kanchana
    Tseng, Ming-Lang
    Computers and Industrial Engineering, 2025, 202
  • [39] A Personalized Model for Ontology-driven User Profiles Mining
    Wei, Cuncun
    Huang, Chongben
    Tan, Hengsong
    2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT UBIQUITOUS COMPUTING AND EDUCATION, 2009, : 484 - 487
  • [40] Consumers' Preferences for Nanotechnology in Food Packaging: A Discrete Choice Experiment
    Erdem, Seda
    JOURNAL OF AGRICULTURAL ECONOMICS, 2015, 66 (02) : 259 - 279