TikTok’s user suggestion algorithm connects individuals based on detected relationships. These suggestions appear as potential connections a user might recognize from their real-world networks. The system analyzes various data points to identify these potential links, providing a mechanism for users to expand their connections within the platform.
The function of suggesting potential connections aims to enhance user engagement and platform stickiness. By connecting users with individuals they know, TikTok increases the likelihood of interaction, content sharing, and overall platform usage. Historically, social media platforms have utilized similar algorithms to foster community growth and facilitate user interaction, contributing to increased user retention and advertising revenue.
