A Friend Recommendation System using Semantic Based KNN Algorithm
This addresses the need for improved friend recommendation systems in social media platforms like Facebook and Twitter, but appears incremental as it builds on existing KNN methods with semantic enhancements.
The paper tackles the problem of friend recommendation in social networks by proposing a semantic-based KNN algorithm, resulting in a system that aids users in finding new friends and forming associations.
Social networking has become a major part of all our lives and we depend on it for day to day purposes. It is a medium that is used by people all around the world even in the smallest of towns. Its main purpose is to promote and aid communication between people. Social networks, such as Facebook, Twitter etc. were created for the sole purpose of helping individuals communicate about anything with each other. These networks are becoming an important and also contemporary method to make friends from any part of this world. These new friends can communicate through any form of social media. Recommendation systems exist in all the social networks which aid users to find new friends and unite to more people and form associations and alliances with people.