Why is the same person always at the top of my suggested friends list?

Answered by Michael Wilson

The Facebook algorithm for suggesting friends is complex and takes into account several factors, including your interactions and communication with others on the platform. One possible reason why the same person always appears at the top of your suggested friends list is because you have had recent interactions or communication with them.

The Facebook algorithm prioritizes recent activity, so if you have recently interacted with a specific person by liking or commenting on their posts, sending them messages, or engaging in any other form of communication, they may appear at the top of your suggested friends list. This is because the algorithm considers recent interactions as a sign of a closer connection or interest.

It is also worth mentioning that the algorithm takes into account your overall level of interaction with a person. If you consistently engage with someone’s posts, visit their profile, or have a history of messaging them, Facebook may suggest them as a top friend because the algorithm believes they are someone you have a strong connection with.

Moreover, your recent friends may also be prioritized in the suggested friends list. Facebook aims to promote a sense of community and encourages interactions with people you may already know or have recently connected with. Therefore, it is not uncommon for two or three of your top friends to be your recent friends, as the algorithm pushes recent activity to the top.

It is important to note that the Facebook algorithm is constantly evolving and can change over time. So, while the suggestions may seem consistent now, they may vary in the future as the algorithm adjusts to your activity and interactions on the platform.

The same person appearing at the top of your suggested friends list could be due to recent interactions or communication with them. The Facebook algorithm places a strong emphasis on recent activity, and it is not uncommon for your recent friends to be prioritized in the suggestions. However, it is important to remember that the algorithm is dynamic and can change over time.