DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection
Summary: DesTeller uses Sub-Trajectory Synthesis to overcome sparse historical trajectories and provide near-universal, real-time destination prediction. Its interactive public system also addresses privacy risks arising from trajectory-based inference. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Andy Yuan Xue (University of Melbourne)
- 2. Rui Zhang (University of Melbourne)
- 3. Yu Zheng (Microsoft)
- 4. Xing Xie (Microsoft)
- 5. Jianhui Yu (South China Normal University)
- 6. Yong Tang (South China Normal University)
BibTeX Citation
@article{xue_vldb13,
title = {{DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection}},
author = {Xue, Andy Yuan and Zhang, Rui and Zheng, Yu and Xie, Xing and Yu, Jianhui and Tang, Yong},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1198--1201},
doi = {10.14778/2536274.2536275},
url = {https://doi.org/10.14778/2536274.2536275},
year = {2013}
}
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