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

Authors:
Saajan Shridhar;Mithleshwar Lakhanpuria;Abhishek Charak;Ankur Gupta;Swapan Shridhar
Affiliations:
Model Institute of Engineering and Technology, Jammu, J&K, India;Model Institute of Engineering and Technology, Jammu, J&K, India;Model Institute of Engineering and Technology, Jammu, J&K, India;Model Institute of Engineering and Technology, Jammu, J&K, India;University of Texas at Dallas, Texas
Venue:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Year:
2012

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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.