Privacy-preserving collaborative recommendations based on random perturbations

作者：

Highlights：

• We propose a solution to the privacy problem found in collaborative filtering.

• Our proposed method is based on multiple levels.

• We have evaluated our method using five real datasets and well known metrics.

摘要

•We propose a solution to the privacy problem found in collaborative filtering.•Our proposed method is based on multiple levels.•We have evaluated our method using five real datasets and well known metrics.

论文关键词：Collaborative filtering,Random perturbations,Multi-level privacy,Recommender systems

论文评审过程：Received 8 July 2016, Revised 14 November 2016, Accepted 15 November 2016, Available online 18 November 2016, Version of Record 25 November 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.018