Information and Media Technologies
Online ISSN : 1881-0896
ISSN-L : 1881-0896
Computer Networks and Broadcasting
Privacy-preserving Collaborative Filtering Using Randomized Response
Hiroaki KikuchiAnna Mochizuki
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ジャーナル フリー

2013 年 8 巻 4 号 p. 1217-1223

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This paper proposes a new privacy-preserving recommendation method classified into a randomized perturbation scheme in which a user adds a random noise to the original rating value and a server provides a disguised data to allow users to predict the rating value for unseen items. The proposed scheme performs a perturbation in a randomized response scheme, which preserves a higher degree of privacy than that of an additive perturbation. To address the accuracy reduction of the randomized response, the proposed scheme uses a posterior probability distribution function, derived from Bayes' estimation for the reconstruction of the original distribution, to revise the similarity between items computed from the disguised matrix. A simple experiment shows the accuracy improvement of the proposed scheme.
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© 2013 Information Processing Society of Japan
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