This is because the Douyin platform uses user data analysis technology and recommendation algorithms. When users browse or search for content on Douyin, the platform will collect and analyze their browsing history and points of interest, and recommend relevant content and users to users based on this data.

Therefore, when users browse a certain type of content, Douyin will recommend more similar content and users to users based on this type.

The existence of this personalized recommendation algorithm enables users to experience richer and more interesting content, and also promotes the user activity and stickiness of the Douyin platform.