CRIPAC-DIG / Distance2Pre

[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Distance2Pre

model

This is the code for the PAKDD 2019 Paper: Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction.

Usage

Requirements

Citation

Please cite our paper if you use the code:

@inproceedings{cui2019distance2pre,
  title={Distance2pre: Personalized spatial preference for next point-of-interest prediction},
  author={Cui, Qiang and Tang, Yuyuan and Wu, Shu and Wang, Liang},
  booktitle={Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III 23},
  pages={289--301},
  year={2019},
  organization={Springer}
}

Contact information

If you have other questions or confusions, please send email to [cuiqiang1990@hotmail.com].

About

[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"


Languages

Language:Python 46.3%Language:HTML 35.1%Language:MATLAB 13.0%Language:Jupyter Notebook 5.6%