Predicting next location using a variable order Markov model

@inproceedings{Yang2014PredictingNL,
  title={Predicting next location using a variable order Markov model},
  author={Jie Yang and Jian Xu and Ming Xu and Ning Zheng and Yu Chen},
  booktitle={IWGS},
  year={2014}
}
Due to the booming industry of location-based services, the analysis of human location histories is increasingly important. Next location prediction is essential to many location-based services. Predicting user's next location usually involves obtaining significant places from the history trajectories and predicting location with a certain statistic model. This paper presents new approaches to deal with both of above problems. For the former problem, a hierarchical clustering algorithm is… CONTINUE READING

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SHOWING 1-10 OF 17 CITATIONS

Location Prediction Based on Variable-order Markov Model and User's Spatio-temporal Rule

  • 2018 International Conference on Information and Communication Technology Convergence (ICTC)
  • 2018
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Fan Li, Qingquan Li, +3 authors Jizhe Xia
  • IEEE Access
  • 2019
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CITES BACKGROUND