Title
Recommending Deployment Strategies in Crowdsourcing Platforms
Abstract
We initiate the study of how to recommend deployment strategies to the task designers in crowdsourcing platforms. The work proposes the first ever optimization based formalism of the task deployment strategies based on different parameters that the task designers have in mind during deployment and present principled algorithms that are designed using computational geometry techniques.
Year
DOI
Venue
2019
10.1145/3299869.3300106
Proceedings of the 2019 International Conference on Management of Data
Keywords
Field
DocType
algorithm, computational geometry, task deployment
Data science,Software deployment,Crowdsourcing,Computer science,Database
Conference
ISSN
ISBN
Citations 
0730-8078
978-1-4503-5643-5
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
dong wei1166.83