SNAIR: a framework for personalised recommendations based on social network analysis

Abstract

This paper presents a social network mining and analysis framework delivering personalized recommendations to the user in a privacy-preserving manner. Recommendations are based on the core elements of social media namely location, interests, work domain, gender, friends and nature of interactions. These elements are mined from the multiple social networking applications utilized by the user. The user controls the source and nature of recommendations received through configurable privacy filters.