ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms
Summary: Defines ACTA: coordinating independent spatial crowdsourcing platforms that share orders to maximize global revenue and fairness under limited information via public-order broadcast, local matching, global conflict adjustment, and result notification. Proposes mid-product-based revenue estimation and dynamic-weight task assignment enabling personalized local matching with fairness guarantees; experiments show improved global revenue and efficiency. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Boyang Li (Beijing Institute of Technology)
- 2. Yurong Cheng (Beijing Institute of Technology)
- 3. Ye Yuan (Beijing Institute of Technology)
- 4. Yi Yang (Beijing Institute of Technology)
- 5. QianQian Jin (Beijing Institute of Technology)
- 6. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@article{li_vldb23,
title = {{ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms}},
author = {Li, Boyang and Cheng, Yurong and Yuan, Ye and Yang, Yi and Jin, QianQian and Wang, Guoren},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1073--1085},
doi = {10.14778/3579075.3579082},
url = {https://doi.org/10.14778/3579075.3579082},
year = {2023}
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 4,661 | Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis | 2016 | VLDB | 6.5792798e-05 |
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