Towards Privacy-Aware Location-Based Recommender Systems
Towards Privacy-Aware Location-Based Recommender Systems
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发表时间：
2011
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通讯作者：
M. Scipioni
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作者：
M. Scipioni
随着新一代支持GPS的智能手机的普及，基于位置的推荐系统正在市场上出现，允许用户根据用户的品味获得关于要去的新地方的个性化建议。尽管这些系统正变得非常流行，它们的功能对用户来说也非常有吸引力，但也出现了一些位置隐私问题。本文综述了目前基于位置的推荐系统的工作原理，并从用户隐私的角度对其进行了分析。在此基础上，提出了一种基于同态加密的位置推荐方法，以增强用户的隐私。
With the diffusion of new generations of GPS-enabled smartphones, location-based recommender systems are appearing on market, allowing users to get personalized suggestions on-the-go about new places to visit based on user tastes. Although these systems are getting very popular and their functionalities look very attractive to users, a number of location-privacy issues are arising. In this paper we give an overview of the working principles of current location-based recommender systems, analysing them from the user privacy perspective. We then call for a new approach to location-based recommendation based on homomorphic encryption in order to enhance users’ privacy.