Geo-spotting: mining online location-based services for optimal retail store placement

@article{Karamshuk2013GeospottingMO,
  title={Geo-spotting: mining online location-based services for optimal retail store placement},
  author={Dmytro Karamshuk and Anastasios Noulas and Salvatore Scellato and Vincenzo Nicosia and Cecilia Mascolo},
  journal={Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining},
  year={2013}
}
  • Dmytro Karamshuk, A. Noulas, C. Mascolo
  • Published 7 June 2013
  • Computer Science
  • Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
The problem of identifying the optimal location for a new retail store has been the focus of past research, especially in the field of land economy, due to its importance in the success of a business. [] Key Method The features we mine are based on two general signals: geographic, where features are formulated according to the types and density of nearby places, and user mobility, which includes transitions between venues or the incoming flow of mobile users from distant areas. Our evaluation suggests that…

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