APRS： a pmvacy-preservmg location-aware recommender system based on differentially private histogram

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]. H...

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Bibliographic Details
Published in:中国科学：信息科学（英文版） 2017, Vol.60 (11), p.267-269
Main Authors: Sheng GAO, Xindi MA, Jianming ZHU, Jianfeng MA
Format: Article
Language:English
Subjects:
位置感知
利率
推荐系统
直方图
Online Access:Get full text
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Summary: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.
ISSN:1674-733X
1869-1919