Differentially-private release of check-in data for venue recommendation

@article{Riboni2014DifferentiallyprivateRO,
  title={Differentially-private release of check-in data for venue recommendation},
  author={Daniele Riboni and Claudio Bettini},
  journal={2014 IEEE International Conference on Pervasive Computing and Communications (PerCom)},
  year={2014},
  pages={190-198}
}
Recommender systems suggesting venues offer very useful services to people on the move and a great business opportunity for advertisers. These systems suggest venues by matching the current context of the user with the venue features, and consider the popularity of venues, based on the number of visits (“check-ins”) that they received. Check-ins may be explicitly communicated by users to geo-social networks, or implicitly derived by analysing location data collected by mobile services. In… CONTINUE READING

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