Algorithmic management for improving collective productivity in crowdsourcing
Crowdsourcing systems are complex not only because of the huge number of potential strategies for assigning workers to tasks, but also due to the dynamic characteristics associated with workers. Maximizing social welfare in such situations is known to be NP-hard. To address these fundamental challen...
Saved in:
Main Authors: | Yu, Han, Miao, Chunyan, Chen, Yiqiang, Fauvel, Simon, Li, Xiaoming, Lesser, Victor R. |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/89483 http://hdl.handle.net/10220/44976 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Efficient algorithms for trajectory-aware mobile crowdsourcing
by: HAN, Chung-Kyun
Published: (2021) -
An exact single-agent task selection algorithm for the crowdsourced logistics
by: HAN, Chung-kyun, et al.
Published: (2020) -
Active crowdsourcing for annotation
by: HAO, Shuji, et al.
Published: (2015) -
Dynamic generation of internet of things organizational structures through evolutionary computing
by: Shen, Zhiqi, et al.
Published: (2019) -
The common oceanographer : crowdsourcing the collection of oceanographic data
by: Lauro, Federico M., et al.
Published: (2015)