Providing Private Recommendations on Personal Social Networks

KALELİ C., Polat H.

6th Atlantic Web Intelligence Conference, Prague, Czech Republic, 01 September 2009, vol.67, pp.117-125 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 67
  • Doi Number: 10.1007/978-3-642-10687-3_11
  • City: Prague
  • Country: Czech Republic
  • Page Numbers: pp.117-125
  • Keywords: Web mining, Multimedia, Semantics of the Images, Automatic Understanding
  • Anadolu University Affiliated: Yes


Personal social networks are recently used to offer recommendations. Due to privacy concerns, privacy protection while generating accurate referrals is imperative. Since accuracy and privacy are conflicting goals, providing accurate predictions with privacy is challenging. We investigate generating personal social networks-based referrals without greatly jeopardizing users' privacy using randomization techniques. We perform real data-based trials to evaluate the overall performance of our proposed schemes. We analyze our schemes in terms of privacy and efficiency. Our schemes make it possible to generate accurate recommendations on social networks efficiently while preserving users' privacy.