Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing-Reference-Cited by-同舟云学术

Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing

Published:2023-03 Issue:3 Volume:42 Page:928-941
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Wei Xiaohui¹,Sun Bingyi¹^ORCID,Cui Jiaxu¹^ORCID,Qiu Meikang²^ORCID

Affiliation:

1. College of Computer Science and Technology and the Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China

2. Department of Computer Science, Texas A&M University, Commerce, TX, USA

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

China Postdoctoral Science Foundation Funded Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10048562/09816080.pdf?arnumber=9816080

Reference46 articles.

1. Online optimization for scheduling preemptable tasks on IaaS cloud systems

2. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

3. Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing

4. A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation

5. Energy minimization with loop fusion and multi-functional-unit scheduling for multidimensional DSP

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3. A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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