A privacy-preserving recommender system for mobile commerce

被引：0
|
作者：
Garcia Clemente, Felix J. [1 ]
机构：
[1] Univ Murcia, Dept Ingn & Tecnol Comp, E-30100 Murcia, Spain
来源：
2015 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of preserving the user's privacy in recommender systems for mobile commerce is faced in this work. We propose a novel framework to support private queries and evaluations, based on the concept of k-anonymity to protect the user's identity, which does not require a trusted third-party. Privacy is achieved via a dummy-user selecting algorithm based on grid-maps and a collaborative filtering algorithm based on the simple Bayesian classifier.
引用
收藏
页码：725 / 726
页数：2
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