Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data

@article{Huang2017WhereAY,
  title={Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data},
  author={Chao Huang and Dong Wang and Shenglong Zhu},
  journal={IEEE INFOCOM 2017 - IEEE Conference on Computer Communications},
  year={2017},
  pages={1-9}
}
Crowdsourcing has emerged as an important data collection paradigm in participatory and human-centric sensing applications. While many crowdsourcing studies focus on sensing and recovering the status of the physical world, this paper investigates the problem of profiling the crowd sensors (i.e., humans). In particular, we study the problem of accurately inferring the home locations of people from the noisy and sparse crowdsourcing data they contribute. In this study, we propose a semi… CONTINUE READING