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Link prediction systems have been largely adopted to recommend new friends in online social networks using data about social interactions. With the soaring adoption of location-based social services it becomes possible to take advantage of an additional source of information: the places people visit. In this paper the authors study the problem of designing a link prediction system for online location-based social networks. They have gathered extensive data about one of these services, Gowalla, with periodic snapshots to capture its temporal evolution.
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