A Modern Approach of Discovering Friends in Social Networks Based on Friend Matching Graph

Abstract

SNS is a platform to build social networks or social relations among people based on their social graph It is not satisfied to user’s preference on friend selection in real life. Mean while in prosposed system,we recommend friend by used semantic-based oruser based on their lifestyle. By taking merits of sensor-rich smartphones, Friend matching graph find out something life styles of people from user-centric sensor data, action to achieve something the similarity of life styles between users, and to advise someone to users if their life styles have most similarity. An extra ordinary quality by data mining, A user’s daily life documents are extracted by using the Hierarchical dirichlet algorithm .