FriendSensing: Recommending friends using mobile phones.
Presented at: UNSPECIFIED.
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, a social-networking user "senses" and keeps track of other phones in her proximity. FriendSensing processes proximity records using a variety of algorithms that are based on social network theories of geographical proximity and of link prediction. It then returns a personalized and automatically generated list of people the user may know. We evaluate the extent to which FriendSensing helps users find people they know against real mobility and social network data. Copyright 2009 ACM.
|Type:||Conference item (UNSPECIFIED)|
|Title:||FriendSensing: Recommending friends using mobile phones|
|Keywords:||Recommender systems, Social mathcing systems, Web 2.0|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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