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International Journal of Frontiers in Sociology, 2020, 2(9); doi: 10.25236/IJFS.2020.020915.

Customer Group Description of Chinese Artwork Market Based on User Portrait Theory


Hongpeng Yang

Corresponding Author:
Hongpeng Yang

Academy of Fine Arts, Henan University, Kaifeng, Henan, 475001,China


User portrait theory is a set of management tools that classify and abstract the objects of products and services, and describe their typical characteristics. The basic action of this theory is "labeling", and the main technical path is to construct story. This theory can be applied to the current customer groups in the Chinese artwork market. Based on its basic idea and technical path, this paper described a set of user portraits in artwork trading scenarios, which is composed of four roles: Afa, Da Luo, Xiaowen, and Lao Sun. Their main identity tags are arty person, art investor, sincere art lover and elegant briber. According to their different core demands, we can formulate targeted service strategies and product supply to improve the efficiency of artwork trade in market.


User Portrait, Artwork Market, Identity Tag, Collector

Cite This Paper

Hongpeng Yang. Customer Group Description of Chinese Artwork Market Based on User Portrait Theory. International Journal of Frontiers in Sociology (2020), Vol. 2, Issue 9: 107-113. https://doi.org/10.25236/IJFS.2020.020915.


[1] Jianxun Zeng. Precise service requires user portraits. Digital Library Forum, 2017(12): 1-1
[2] Lijuan Zhang. Research on user portraits based on big data analysis to help precision marketing.Telecom Technology, 2017(1): 61-65
[3] Cong Qi, Jun Wu. Research on the traceability and application scenarios of user portrait concepts. Journal of Chongqing Jiaotong University (Social Science Edition), 2017(5): 82-87
[4] Jiaqi Wu. Analysis of Knowledge Networks and Hot Areas in the Study of User Profiles in my country. Modern Information, 2018(8): 130-135
[5] Haiou Liu, Jingjing Sun, Yanyi Su, Yaming Zhang. Summarization of User Portrait Research at Home and Abroad.Information Theory and Practice, 2018(11): 155-160
[6] Kang Xie, Ji Wu, Jinghua Xiao. Analysis of User Portrait and User Behavior Based on Big Data Platform. China Information Technology, 2018(3): 100-104