On the discovery of fake binary ratings

Okkalioglu M., Koc M., Polat H.

30th Annual ACM Symposium on Applied Computing, SAC 2015, Salamanca, İspanya, 13 - 17 Nisan 2015, cilt.13-17-April-2015, ss.901-907 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 13-17-April-2015
  • Doi Numarası: 10.1145/2695664.2695866
  • Basıldığı Şehir: Salamanca
  • Basıldığı Ülke: İspanya
  • Sayfa Sayıları: ss.901-907
  • Anahtar Kelimeler: Privacy analysis, binary data, auxiliary information, fake ratings, RANDOMIZED-RESPONSE, RECOMMENDATIONS
  • Anadolu Üniversitesi Adresli: Evet

Özet

Copyright 2015 ACM.Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, we analyze a privacy-preserving collaborative filtering method for binary data referred to as randomized response technique. We develop a method targeting the second aspect of privacy to discover fake binary ratings using auxiliary and public information.