The Social Media Friend Recommendation System is designed to enhance user engagement and social relationships on social media platforms. It utilizes user profile attributes such as location, occupation, institution, and hobbies to recommend potential friends to users based on their similarity scores.

How Does It Work?

The recommendation system calculates the cosine similarity score between users based on their feature matrix (location, occupation, institution, and hobbies) and provides recommendations for friends with the highest similarity scores.

In this example, the user with ID 61377 is selected, and the system recommends friends with similar attributes. The recommended friends are listed along with their similarity scores.