Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis
Summary: OMBM: online, irrevocable matching of arriving users to providers, maximizing cardinality with min total distance. Greedy often wins; average-case competitive ratio ~3.20, challenging decades of pessimism, with a uniform implementation for practitioners. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yongxin Tong (Beihang University)
- 2. Jieying She (Hong Kong University of Science and Technology)
- 3. Bolin Ding (Microsoft)
- 4. Lei Chen (Hong Kong University of Science and Technology)
- 5. Tianyu Wo (Beihang University)
- 6. Ke Xu (Beihang University)
BibTeX Citation
@article{tong_vldb16,
title = {{Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis}},
author = {Tong, Yongxin and She, Jieying and Ding, Bolin and Chen, Lei and Wo, Tianyu and Xu, Ke},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {12},
pages = {1053--1064},
doi = {10.14778/2994509.2994515},
url = {https://doi.org/10.14778/2994509.2994515},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,327 | Capacity Constrained Assignment in Spatial Databases | 2008 | SIGMOD | 8.7476945e-05 |
| 2,349 | On Efficient Spatial Matching | 2007 | VLDB | 8.7115756e-05 |
| 2,780 | A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing | 2014 | VLDB | 8.1294906e-05 |
| 10,032 | gMission: A General Spatial Crowdsourcing Platform | 2014 | VLDB | 5.1741314e-05 |
| 12,122 | Utility-Aware Social Event-Participant Planning | 2015 | SIGMOD | 5.093636e-05 |
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