Personalized Social Recommendations - Accurate or Private?

Understand

With the recent surge of social networks like Facebook, new forms of recommendations have become possible - personalized recommendations of ads, content, and even new friend and product connections based on one's social interactions.

• Since recommendations may use sensitive social information, it is speculated that these recommendations are associated with privacy risks.
• The main contribution of this work is in formalizing these expected trade-offs between the accuracy and privacy of personalized social recommendations.
• In this paper, we study whether "social recommendations", or recommendations that are solely based on a user's social network, can be made without disclosing sensitive links in the social graph.