Database Paper Browser

Back to papers

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
11217
Venue
VLDB
Year
2016
Pagerank
7.3284717e-05
Overall Rank
3,238 | 77.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

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
2,088 Capacity Constrained Assignment in Spatial Databases 2008 SIGMOD 9.5707955e-05
2,185 A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing 2014 VLDB 9.3470658e-05
2,248 On Efficient Spatial Matching 2007 VLDB 9.1958821e-05
9,867 gMission: A General Spatial Crowdsourcing Platform 2014 VLDB 4.2634671e-05
11,931 Utility-Aware Social Event-Participant Planning 2015 SIGMOD 4.1905499e-05
Previous Page 1 / 1 Next

Semantically Similar Papers