An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing

Summary: Experimental evaluation and uniform benchmark of spatial crowdsourcing task assignment algorithms. Offers shared definitions, a single open-source implementation, and cross-data comparisons to reveal strengths and weaknesses and guide research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11631
Venue: VLDB
Year: 2018
Pagerank: 4.594024e-05
Overall Rank: 8,063 | 43.91%
DOI: 10.14778/3236187.3236196

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,199	Ridesharing: Simulator, Benchmark, and Evaluation	2019	VLDB	4.8031349e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
8,543	Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers	2015	VLDB	4.4937074e-05
9,868	gMission: A General Spatial Crowdsourcing Platform	2014	VLDB	4.2675549e-05

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