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An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing

Summary: A unified experimental framework normalizes definitions, datasets, and implementations to compare spatial-crowdsourcing task-assignment algorithms. Extensive synthetic/real evaluations expose algorithmic strengths and weaknesses, providing an open-source benchmark for research and deployment. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11819
Venue
VLDB
Year
2018
Pagerank
5.6236299e-05
Overall Rank
7,417 | 49.12%
DOI
10.14778/3236187.3236196

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cheng_vldb18,
        title = {{An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing}},
        author = {Cheng, Peng and Jian, Xun and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {11},
        pages = {1428--1440},
        doi = {10.14778/3236187.3236196},
        url = {https://doi.org/10.14778/3236187.3236196},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,674 Ridesharing: Simulator, Benchmark, and Evaluation 2019 VLDB 5.5692535e-05
10,305 Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation 2026 SIGMOD 5.093636e-05
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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
8,747 Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers 2015 VLDB 5.3766157e-05
10,032 gMission: A General Spatial Crowdsourcing Platform 2014 VLDB 5.1741314e-05
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