Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing-Reference-Cited by-同舟云学术

Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
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Author:

Zhong Xiaolong¹^ORCID,Miao Hao²^ORCID,Qiu Dazhuo²^ORCID,Zhao Yan²^ORCID,Zheng Kai¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. Aalborg University, Aalborg, Denmark

Funder

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

Key Laboratory of Data Intelligence and Cognitive Computing, Longhua District, Shenzhen

NSFC

Municipal Government of Quzhou under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615008

Reference50 articles.

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2. Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism

3. Xuanhao Chen , Yan Zhao , Kai Zheng , Bin Yang , and Christian S Jensen . 2022. Influence-aware Task Assignment in Spatial Crowdsourcing . In ICDE. IEEE , 2141--2153. Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, and Christian S Jensen. 2022. Influence-aware Task Assignment in Spatial Crowdsourcing. In ICDE. IEEE, 2141--2153.

4. Fair task assignment in spatial crowdsourcing

5. Peng Cheng , Lei Chen , and Jieping Ye. 2019. Cooperation-aware task assignment in spatial crowdsourcing . In ICDE. IEEE , 1442--1453. Peng Cheng, Lei Chen, and Jieping Ye. 2019. Cooperation-aware task assignment in spatial crowdsourcing. In ICDE. IEEE, 1442--1453.

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