The Research of Relevant Theory and Techniques for Spatial Crowdsourcing
Author:
Affiliation:
1. Department of Computer Science, Aalborg University, Denmark
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603165.3607379
Reference20 articles.
1. Xuanlei Chen Yan Zhao and Kai Zheng. 2022. Task Publication Time Recommendation in Spatial Crowdsourcing. In CIKM. 232–241. Xuanlei Chen Yan Zhao and Kai Zheng. 2022. Task Publication Time Recommendation in Spatial Crowdsourcing. In CIKM. 232–241.
2. Yue Cui Liwei Deng Yan Zhao Bin Yao Vincent W Zheng and Kai Zheng. [n. d.]. Hidden poi ranking with spatial crowdsourcing. In KDD. Yue Cui Liwei Deng Yan Zhao Bin Yao Vincent W Zheng and Kai Zheng. [n. d.]. Hidden poi ranking with spatial crowdsourcing. In KDD.
3. Tinghao Lai Yan Zhao Weizhu Qian and Kai Zheng. 2022. Loyalty-based Task Assignment in Spatial Crowdsourcing. In CIKM. 1014–1023. Tinghao Lai Yan Zhao Weizhu Qian and Kai Zheng. 2022. Loyalty-based Task Assignment in Spatial Crowdsourcing. In CIKM. 1014–1023.
4. Xiang Li Yan Zhao Jiannan Guo and Kai Zheng. 2020. Group task assignment with social impact-based preference in spatial crowdsourcing. In DASFAA. 677–693. Xiang Li Yan Zhao Jiannan Guo and Kai Zheng. 2020. Group task assignment with social impact-based preference in spatial crowdsourcing. In DASFAA. 677–693.
5. Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing
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