Friend Recommendation Using Offline and Online Social Information for Face-To-Face Interactions

The combination of online social networking services (OSNSs) and the smartphones has changed the ways to acquire information and also influenced the ways people get to know and interact with each other. Despite with many advanced functions, online social interactions can hardly provide online social users with real-world (i.e., offline) social interactions. In this paper, we present an offline friend recommendation system for the OSNS users to have more serendipitous offline interactions. For that, we modeled both offline information (i.e., place visit history) and online social data (i.e., friend relationships) for recommending their offline interactions. Our system discovers those who seems most likely to have potential friend relationship so as to meet in the physical world. We present the design and implementation of our proposed system and conduct real-world experiment to show how the place visit information and online friend relationship together produce a new offline social networking service.

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