SpatialCrowdsourcing-LTC: Latency-oriented Task Completion via Spatial Crowdsourcing

This repository stores the source code of the proposed solutions to the problem called LTC in the following paper.

[1] Latency-Oriented Task Completion via Spatial Crowdsourcing. Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou. ICDE 2018: 317-328. link slides

If you find this work helpful in your research, please consider citing our paper and the bibtex are listed below:

@inproceedings{DBLP:conf/icde/ZengTCZ18,
  author    = {Yuxiang Zeng and
               Yongxin Tong and
               Lei Chen and
               Zimu Zhou},
  title     = {Latency-Oriented Task Completion via Spatial Crowdsourcing},
  booktitle = {{ICDE}},
  pages     = {317--328},
  year      = {2018},
}

Usage of the algorithms

Environment

gcc/g++ version: 7.4.0

OS: Ubuntu

Compile the algorithms

cd algorithm && make all

LAF: the LAF algorithm in the paper

AAM: the AAM algorithm in the paper

Run the algorithms

./LAF ../dataset/synthetic/1000_6_0.14_30_0.86_N/data_00.txt

1000_6_0.14_30_0.86_N: the varied parameters

data_00.txt: the information of the tasks and workers (i.e., the input)

Description of the data generator

Environment

Python: 2.7

Run the scripts

genDataSynthetic.py: a script to generate the synthetic datasets in the experiments

synthetic: a sample of the synthetic datasets

Related resources

We have maintained a paper list of the studies on spatial crowdsourcing. link

Contact

• Yuxiang Zeng: yzengal@cse.ust.hk
• Yongxin Tong: yxtong@buaa.edu.cn