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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)

Paper ID
11216
Venue
VLDB
Year
2016
Pagerank
7.3355287e-05
Overall Rank
3,235 | 77.50%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
2,085 Capacity Constrained Assignment in Spatial Databases 2008 SIGMOD 9.5804907e-05
2,179 A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing 2014 VLDB 9.3558219e-05
2,247 On Efficient Spatial Matching 2007 VLDB 9.2048219e-05
9,868 gMission: A General Spatial Crowdsourcing Platform 2014 VLDB 4.2675549e-05
11,923 Utility-Aware Social Event-Participant Planning 2015 SIGMOD 4.1945683e-05
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