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A Lightweight Privacy Preserving SMS-based Recommendation System for Mobile Users

机译:基于轻量级隐私保护短信的移动用户推荐系统

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In this paper we propose a fully decentralized approach for recommending new contacts in the social network of mobile phone users. With respect to existing solutions, our approach is characterized by some distinguishing features. In particular, the application we propose does not assume any centralized coordination: it transparently collects and processes user information that is accessible in any mobile phone, such as the log of calls, the list of contacts or the inbox/outbox of short messages and exchanges it with other users. This information is used to recommend new friendships to other users. Furthermore, the information needed to perform recommendation is collected and exchanged between users in a privacy preserving way. Finally, information necessary to implement the application is exchanged transparently and opportunistically, by using the residual space in standard short messages occasionally exchanged between users. As a consequence, we do not ask users to change their habits in using SMS.
机译:在本文中,我们提出了一种完全分散的方法来推荐手机用户社交网络中的新联系人。关于现有解决方案,我们的方法具有一些与众不同的特征。特别是,我们建议的应用程序不承担任何集中的协调:它透明地收集和处理可在任何移动电话中访问的用户信息,例如通话记录,联系人列表或短信和交换的收件箱/发件箱与其他用户一起使用。此信息用于向其他用户推荐新的友谊。此外,执行推荐所需的信息以隐私保护的方式在用户之间收集和交换。最后,通过使用偶尔在用户之间交换的标准短消息中的剩余空间,透明地和机会地交换实现该应用程序所需的信息。因此,我们不要求用户改变使用SMS的习惯。

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