Efficient Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
- 1 January 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Mobile Computing
- Vol. 25 (10) , 1-16
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62472068)
- DFF Inge Lehmann (4303-00014)
- Shenzhen Municipal Science and Technology R&D Funding Basic Research Program (JCYJ20210324133607021)
- Municipal Government of Quzhou (2024D036)
- Key Laboratory of Data Intelligence and Cognitive Computing
- Longhua District
- Shenzhen Graduate School, Peking University
This publication has 54 references indexed in Scilit:
- Coalition-based task assignment with priority-aware fairness in spatial crowdsourcingThe VLDB Journal, 2023
- Privacy-preserving worker allocation in crowdsourcingThe VLDB Journal, 2022
- Group Task Assignment with Social Impact-Based Preference in Spatial Crowdsourcing2020
- Consensus-Based Group Task Assignment with Social Impact in Spatial CrowdsourcingData Science and Engineering, 2020
- Real-Time Cross Online Matching in Spatial Crowdsourcing2020
- Spatial crowdsourcing: a surveyThe VLDB Journal, 2019
- SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing2019
- Crowdsourcing Database Systems: Overview and Challenges2019
- Long Short-Term Memory2012
- Q-learningMachine Learning, 1992