A k-anonymous approach to privacy preserving collaborative filtering

作者：Casino Fran; Domingo Ferrer Josep; Patsakis Constantinos; Puig Domenec; Solanas Agusti^*

来源：Journal of Computer and System Sciences, 2015, 81(6): 1000-1011.

DOI：10.1016/j.jcss.2014.12.013

• Privacy preserving collaborative filtering
• Microaggregation
• Electronic commerce
• Recommender systems

This article proposes a new technique for Privacy Preserving Collaborative Filtering (PPCF) based on microaggregation, which provides accurate recommendations estimated from perturbed data whilst guaranteeing user k-anonymity. The experimental results presented in this article show the effectiveness of the proposed technique in protecting users' privacy without compromising the quality of the recommendations. In this sense, the proposed approach perturbs data in a much more efficient way than other well-known methods such as Gaussian Noise Addition (GNA).

• 出版日期2015-9