On the discovery of fake binary ratings

Okkalioglu M., Koc M., Polat H.

30th Annual ACM Symposium on Applied Computing, SAC 2015, Salamanca, Spain, 13 - 17 April 2015, vol.13-17-April-2015, pp.901-907 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 13-17-April-2015
  • Doi Number: 10.1145/2695664.2695866
  • City: Salamanca
  • Country: Spain
  • Page Numbers: pp.901-907
  • Keywords: Privacy analysis, binary data, auxiliary information, fake ratings, RANDOMIZED-RESPONSE, RECOMMENDATIONS
  • Anadolu University Affiliated: Yes

Abstract

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.