Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems

Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems

Recommendation systems are information-filtering systems that tailor information to users on the basis of knowledge about their preferences. The ability of these systems to profile users is what enables such intelligent functionality, but at the same time, it is the source of serious privacy concern...

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Bibliographic Details
Main Authors: Javier Parra-Arnau, David Rebollo-Monedero, Jordi Forné
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Entropy
Subjects:
information privacy
Kullback-Leibler divergence
Shannon’s entropy
user profiling
privacy-enhancing technologies
data perturbation
recommendation systems
Online Access:http://www.mdpi.com/1099-4300/16/3/1586

Internet

http://www.mdpi.com/1099-4300/16/3/1586

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