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

作　　者：Sheng GAO Xindi MA Jianming ZHU Jianfeng MA 

机构地区：[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

出　　处：《Science China(Information Sciences)》2017年第11期267-269,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61602537, 61272398, U1509214, U1405255);Beijing Municipal Philosophy and Social Science Foundation (Grant No. 16XCC023);National High Technology Research and Development Program of China (863 Program) (Grant No. 2015AA016007)

摘　　要：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＇ loca-tions 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.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＇ loca-tions 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.

关 键 词：a privacy-preserving location-aware recommender system based on differentially private histogram Si 

分 类 号：TP309[自动化与计算机技术—计算机系统结构] TP391.3[自动化与计算机技术—计算机科学与技术]