APRS: a privacy-preserving location-aware recommender system based on differentially private histogram

被引：1

作者：

Sheng GAO ^{[1
]}

Xindi MA ^{[2
,3
]}

Jianming ZHU ^{[1
]}

Jianfeng MA ^{[2
,3
]}

机构：

[1] School of Information, Central University of Finance and Economics

[2] School of Computer Science and Technology, Xidian University

[3] School of Cyber Engineering, Xidian University

来源：

Science China(Information Sciences) | 2017年 / 60卷 / 11期

关键词：

a privacy-preserving location-aware recommender system based on differentially private histogram; Si;

D O I：

暂无

中图分类号：

TP309 [安全保密]; TP391.3 [检索机];

学科分类号：

081201 ; 0839 ; 1402 ; 081203 ; 0835 ;

摘要：

<正>Dear editor,Recently,a new paradigm of location-aware recommender system(LARS)has become increasingly popular.Compared with traditional recommendation systems such as collaborative filtering and content-based recommendation,LARS exploits the spatial aspect of ratings for recommendations[1].However,these rating data contain privacy information such as users’locations and preferences,which enable recommender servers(RS)to easily infer the points of interest of users.Thus,RS can track users or provide users’preferences to advertisers,which would seriously threaten their personal safety.

引用

页码：294 / 296

页数：3