Hanfu Online Social Network Design based on Personalized Recommendation Technology

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.