Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency-Reference-Cited by-同舟云学术

Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency

Published:2023-10-01 Issue:10 Volume:35 Page:10722-10734
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhao Yan¹^ORCID,Liu Jiaxin²^ORCID,Li Yunchuan²^ORCID,Zhang Dalin¹^ORCID,Jensen Christian S.¹^ORCID,Zheng Kai²^ORCID

Affiliation:

1. Department of Computer Science, Aalborg University, Aalborg, Denmark

2. Yangtze Delta Region Institute (Quzhou), School of Computer Science and Engineering, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

Shenzhen Municipal Science and Technology R&D Funding Basic Research Program

Municipal Government of Quzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10102298.pdf?arnumber=10102298

Reference42 articles.

1. GeoCrowd

2. The simpler the better

3. Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing

4. Task Allocation with Geographic Partition in Spatial Crowdsourcing

5. Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms

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