TY - GEN
T1 - Hanfu Online Social Network Design based on Personalized Recommendation Technology
AU - Li, Zehang
AU - Cao, Peiqing
AU - Liu, Yushun
AU - Yang, Jianming
AU - Sun, Bowen
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This work aims to improve the efficiency of use and user experience for the Hanfu social platform, addressing two of the most significant issues for social platforms today. At present, social platforms mainly focus on discovering new and sharing; interests and hobbies have become the key link between users. On the Hanfu social platform, user groups have common interests in a broader sense. Individual users also have unique interests and hobbies, including categories such as hairstyles, cosmetology, jewellery, shoes, belts, and jade pendants. However, due to the complexity and diversity of information on the platform, they need to spend excessive time and energy to do so when they want to search and filter the information that interests them. Most users have poor experiences while browsing, making friends, publishing content, or doing other functions common to the platform the loss of users caused by bad experiences will only make the Hanfu platform worse. This paper discusses personalized recommendation systems, Hanfu culture, and the case of a social platform called 'Embracing Hanfu.' It also shows methods for optimizing the Hanfu platform so that users can find personalized information to meet their needs precisely.
AB - This work aims to improve the efficiency of use and user experience for the Hanfu social platform, addressing two of the most significant issues for social platforms today. At present, social platforms mainly focus on discovering new and sharing; interests and hobbies have become the key link between users. On the Hanfu social platform, user groups have common interests in a broader sense. Individual users also have unique interests and hobbies, including categories such as hairstyles, cosmetology, jewellery, shoes, belts, and jade pendants. However, due to the complexity and diversity of information on the platform, they need to spend excessive time and energy to do so when they want to search and filter the information that interests them. Most users have poor experiences while browsing, making friends, publishing content, or doing other functions common to the platform the loss of users caused by bad experiences will only make the Hanfu platform worse. This paper discusses personalized recommendation systems, Hanfu culture, and the case of a social platform called 'Embracing Hanfu.' It also shows methods for optimizing the Hanfu platform so that users can find personalized information to meet their needs precisely.
KW - Big data recommendations
KW - Hanfu culture
KW - Product service systems
KW - Social networking platforms
UR - http://www.scopus.com/inward/record.url?scp=85127666790&partnerID=8YFLogxK
U2 - 10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00074
DO - 10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00074
M3 - Conference contribution
AN - SCOPUS:85127666790
T3 - Proceedings - 2021 20th International Conference on Ubiquitous Computing and Communications, 2021 20th International Conference on Computer and Information Technology, 2021 4th International Conference on Data Science and Computational Intelligence and 2021 11th International Conference on Smart Computing, Networking, and Services, IUCC/CIT/DSCI/SmartCNS 2021
SP - 430
EP - 435
BT - Proceedings - 2021 20th International Conference on Ubiquitous Computing and Communications, 2021 20th International Conference on Computer and Information Technology, 2021 4th International Conference on Data Science and Computational Intelligence and 2021 11th International Conference on Smart Computing, Networking, and Services, IUCC/CIT/DSCI/SmartCNS 2021
A2 - Hu, Jia
A2 - Hao, Fei
A2 - Wang, Haozhe
A2 - Wang, Miaoqiong
A2 - Zhang, Xu
A2 - Zhao, Zhiwei
A2 - Wang, Zi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Ubiquitous Computing and Communications, 20th International Conference on Computer and Information Technology, 4th International Conference on Data Science and Computational Intelligence and 11th International Conference on Smart Computing, Networking, and Services, IUCC/CIT/DSCI/SmartCNS 2021
Y2 - 20 December 2021 through 22 December 2021
ER -