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A privacy-protecting architecture for collaborative filtering via forgery and suppression of ratings

Autor
Parra-Arnau, J.; Rebollo-Monedero, D.; Forne, J.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2012
Volum
7122
Pàgina inicial
42
Pàgina final
57
DOI
https://doi.org/10.1007/978-3-642-28879-1_4 Obrir en finestra nova
Projecte finançador
CONSEQUENCE
Repositori
http://hdl.handle.net/2117/16000 Obrir en finestra nova
URL
http://www.springerlink.com/content/j0h7156677756q64/ Obrir en finestra nova
Resum
Recommendation systems are information-filtering systems that help users deal with information overload. Unfortunately, current recommendation systems prompt serious privacy concerns. In this work, we propose an architecture that protects user privacy in such collaborative-filtering systems, in which users are profiled on the basis of their ratings. Our approach capitalizes on the combination of two perturbative techniques, namely the forgery and the suppression of ratings. In our scenario, user...
Citació
Parra, J.; Rebollo-Monedero, D.; Forné, J. A privacy-protecting architecture for collaborative filtering via forgery and suppression of ratings. "Lecture notes in computer science", 2012, vol. 7122, p. 42-57.
Grup de recerca
SISCOM - Smart Services for Information Systems and Communication Networks

Participants