The phrase refers to the function on the TikTok platform that suggests accounts a user might be interested in following, typically based on shared connections or interactions. This feature leverages data about a users existing network and engagement patterns to recommend potentially relevant profiles. For example, if two individuals follow a number of the same accounts, or if one persons contacts have interacted with anothers content, the system may suggest that those two individuals connect on the platform.
This type of suggestion algorithm aims to enhance user experience by facilitating discovery of new content and expanding social networks. Its significance lies in its capacity to foster greater engagement within the platform and provide opportunities for users to connect with like-minded individuals or discover content aligned with their interests. Social media platforms have long utilized similar mechanisms, evolving over time to become more sophisticated and personalized based on increasing amounts of user data. The benefits include easier content discovery, network expansion, and a more personalized experience for each user.