In this paper we propose a fully decentralized approach for recommending new contacts in the social network of mo- bile 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 friend-ships to other users. Furthermore, the information needed to perform recommendation is collected and exchanged be- tween users in a privacy preserving way. Finally, information necessary to implement the application is exchanged trans-parently 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. Copyright 2010 ACM.
A lightweight privacy preserving SMS-based recommendation system for mobile users / Elisa, Baglioni; Becchetti, Luca; Bergamini, Lorenzo; Colesanti, Ugo Maria; Filipponi, Luca; G., Persiano; Vitaletti, Andrea. - (2010), pp. 191-198. (Intervento presentato al convegno 4th ACM Recommender Systems Conference, RecSys 2010 tenutosi a Barcelona; Spain nel 26 September 2010 through 30 September 2010) [10.1145/1864708.1864745].
A lightweight privacy preserving SMS-based recommendation system for mobile users
BECCHETTI, Luca;BERGAMINI, LORENZO;COLESANTI, Ugo Maria;FILIPPONI, Luca;VITALETTI, Andrea
2010
Abstract
In this paper we propose a fully decentralized approach for recommending new contacts in the social network of mo- bile 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 friend-ships to other users. Furthermore, the information needed to perform recommendation is collected and exchanged be- tween users in a privacy preserving way. Finally, information necessary to implement the application is exchanged trans-parently 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. Copyright 2010 ACM.File | Dimensione | Formato | |
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