Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

"GPT" Task Pricing Model

Authors
Yingshuai Dong
Corresponding Author
Yingshuai Dong
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.121How to use a DOI?
Keywords
Random threshold algorithm, Pricing scheme, Correlation analysis.
Abstract
Get Paid To (GPT) is a self-service model under the mobile Internet. The user downloads the APP, registers as an APP member, and then takes the task (such as going to the supermarkets to check the availability of a certain product) from the APP to earn the nominal fee of the APP for the task. Based on the pricing data given by an APP in Guangdong, this paper designs a new task scheme to make the pricing more reasonable. I used task pricing data, including the location, pricing and fulfillment of each task; and member information data, including the location of members, the credit and the booking time and booking limit referred to the member's credit. In principle, members of the higher credit, the more priority to start selecting tasks, the greater its limit.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
DOI
https://doi.org/10.2991/mecae-18.2018.121How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingshuai Dong
PY  - 2018/03
DA  - 2018/03
TI  - "GPT" Task Pricing Model
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/mecae-18.2018.121
DO  - https://doi.org/10.2991/mecae-18.2018.121
ID  - Dong2018/03
ER  -