Peer Recommendation Model Using KNN

Peer recommendation systems connect individuals based on shared interests or skills. This paper proposes a K-Nearest Neighbors (KNN) based approach to recommend peers for professional networking. Our method prioritizes both skill similarity and diversity, fostering well-rounded teams with complementary expertise. The evaluation demonstrates promising results, achieving high accuracy in skill matching while promoting diverse connections.