Recommending Social Events from Mobile Phone Location Data

@article{Quercia2010RecommendingSE,
  title={Recommending Social Events from Mobile Phone Location Data},
  author={Daniele Quercia and Neal Lathia and Francesco Calabrese and Giusy Di Lorenzo and Jon A Crowcroft},
  journal={2010 IEEE International Conference on Data Mining},
  year={2010},
  pages={971-976}
}
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one deals with such abundance. Mobile phones with positioning technology are now widely available, making it easy for people to broadcast their whereabouts, recommender systems can now identify patterns in people’s movements in order to, for example, recommend events. To do so, the system relies on having mobile users who… CONTINUE READING
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Recommending Social Events from Mobile Phone Location Data

  • F. Calabrese, F. Pereira, G. D. Lorenzo, L. Liu, C. Ratti
  • Pervasive
  • 2010
1 Excerpt

The Big Sort: Why the Clustering of Like-Minded American is Tearing Us Apart

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  • Mariner Books
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2 Excerpts

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