AdaTaskRec: An adaptive task recommendation framework in spatial crowdsourcing

Y Zhao, L Deng, K Zheng - ACM Transactions on Information Systems, 2023 - dl.acm.org
Spatial crowdsourcing is one of the prime movers for the orchestration of location-based
tasks, and task recommendation is a crucial means to help workers discover attractive tasks …

Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage

L Deng, Y Zhao, Y Cui, Y Xia, J Chen… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
The popularity of mobile devices has led to the increased attention of Spatial Crowdsourcing
(SC), a framework that assigns location-sensitive tasks to mobile workers. Task …

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

X Zhong, H Miao, D Qiu, Y Zhao, K Zheng - Proceedings of the 32nd …, 2023 - dl.acm.org
With the proliferation of wireless and mobile devices, Spatial Crowdsourcing (SC) attracts
increasing attention, where task assignment plays a critically important role. However, recent …

Worker-churn-based task assignment with context-lstm in spatial crowdsourcing

Y Zhao, T Lai, Z Wang, K Chen, H Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The pervasiveness of GPS-enabled devices and wireless communication technologies
flourish the market of Spatial Crowdsourcing (SC), which consists of location-based tasks …

Towards Workload-Constrained Efficient Order Assignment in Last-Mile Delivery

W Lyu, X Jin, H Wang, Y Song, S Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Efficient order assignment in last-mile delivery benefits customers, couriers, and the
platform. State-of-the-practice order assignment is based on the static delivery area partition …

HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment

Z Qiu, Z Xie, Z Ji, Y Mao, K Cheng - Knowledge and Information Systems, 2024 - Springer
The escalating pervasiveness of big data applications has incited the development of a
multitude of models for the same objectives within the identical scenarios and datasets …

Efficient Kernelization Algorithm for Bipartite Graph Matching

G Wu, X Gan, Z Pang, B Huang, B Ran - arXiv preprint arXiv:2412.00704, 2024 - arxiv.org
Finding the maximum matching in bipartite graphs is a fundamental graph operation widely
used in various fields. To expedite the acquisition of the maximum matching, Karp and …

The Research of Relevant Theory and Techniques for Spatial Crowdsourcing

Y Zhao - Proceedings of the ACM Turing Award Celebration …, 2023 - dl.acm.org
The proliferation of GPS-enabled smart devices and increased availability of wireless
network have enabled people to move as sensors and participate various location-based …