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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)

Paper ID
10759
Venue
VLDB
Year
2013
Pagerank
-
Overall Rank
13,643 | 6.40%
DOI
10.14778/2536274.2536275

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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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