Exploiting Place Features in Link Prediction on Location-Based Social Networks

Free registration required

Executive Summary

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.

  • Format: PDF
  • Size: 654.5 KB