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PerNav: A Route Summarization Framework for Personalized Navigation

Summary: PerNav uses user trajectories to extract landmarks and frequent routes, enabling personalized turn-by-turn directions. Route summarization as data-driven knowledge extraction from trajectories, highlighting data-management and personalization challenges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5218
Venue
SIGMOD
Year
2016
Pagerank
5.3017894e-05
Overall Rank
9,231 | 36.67%
DOI
10.1145/2882903.28899384

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod16,
        title = {{PerNav: A Route Summarization Framework for Personalized Navigation}},
        author = {Li, Yaguang and Su, Han and Demiryurek, Ugur and Zheng, Bolong and Zeng, Kai and Shahabi, Cyrus},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.28899384},
        url = {https://dl.acm.org/doi/10.1145/2882903.28899384},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,525 QARTA: An ML-based System for Accurate Map Services 2021 VLDB 5.4119882e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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