A "Photographing and Making Money" Pricing Model Based on Game Theory

Yuefeng Li; Jianzhi Lang; Xingliang Zhou; Yuchen Pan

doi:doi:10.11648/j.sd.20180605.29

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A "Photographing and Making Money" Pricing Model Based on Game Theory

Yuefeng Li, Jianzhi Lang, Xingliang Zhou, Yuchen Pan

Published in Science Discovery (Volume 6, Issue 5)

Received: 7 November 2018 Accepted: Published: 8 November 2018

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Abstract

In recent years, the Internet has shown a booming situation. According to the survey, many emerging products have flooded into the market on a large scale. One of the self-service apps that make money by taking pictures has quietly emerged in many big cities. Firstly, taking Shenzhen City, Guangdong Province, China as the research object, the price of photographing and making money in different areas of Guangzhou was collected and analyzed. The relationship between location and price was obtained by multivariate linear fitting, and the latitude and longitude of the failed task after clustering was substituted. The three main reasons for the failure of the task in the software are: low pricing or remote location; members and tasks are far away, members have low credibility, and scheduled tasks start too late; the population of the region The flow rate is low and the market potential is insufficient. Secondly, in order to reduce the probability of task failure, a non-cooperative game model is established to improve the pricing law, which increases the task success rate by 11.3% compared with the original, indicating that the model can effectively improve the task success rate. Finally, in order to avoid the concentration of tasks, users are competing for choice, and also improve the efficiency of task completion. Consider combining these tasks together and publishing them. Therefore, the optimized “crowdsourcing” model is established again, and the implementation of the scheme is evaluated by data fitting. Effect. The result suggests that this model not only effectively ensures the authenticity of the survey's data, but also shortens the survey's period, which is conducive to increasing the respective interests between enterprises and users and promoting economic development.

Published in	Science Discovery (Volume 6, Issue 5)
DOI	10.11648/j.sd.20180605.29
Page(s)	436-443
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Make Money by Taking Pictures, Crowdsourcing, Pricing Model, Non-Cooperative Game Model

References

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[4]	罗洪飞. 基于非合作博弈及多目标优化的居民用户智能用电策略研究[D].重庆大学,2016。
[5]	孙剑萍,耿彪,汤兆平,刘欢.基于非合作博弈的城际运输通道客运分担率及定价策略研究[J].中国科技论文,2016,11(07):823-827+842。
[6]	宋天舒,童咏昕,王立斌,许可. 空间众包环境下的3类对象在线任务分配[J/OL]. 软件学报,2017,28(03):611-630. (2016-11-29)[2017-09-17]。
[7]	席蒙雨,刘婵.基于最短距离的打包任务定价模型[J].现代商业,2018(10):184-185。
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APA Style

Yuefeng Li, Jianzhi Lang, Xingliang Zhou, Yuchen Pan. (2018). A "Photographing and Making Money" Pricing Model Based on Game Theory. Science Discovery, 6(5), 436-443. https://doi.org/10.11648/j.sd.20180605.29

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ACS Style

Yuefeng Li; Jianzhi Lang; Xingliang Zhou; Yuchen Pan. A "Photographing and Making Money" Pricing Model Based on Game Theory. Sci. Discov. 2018, 6(5), 436-443. doi: 10.11648/j.sd.20180605.29

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AMA Style

Yuefeng Li, Jianzhi Lang, Xingliang Zhou, Yuchen Pan. A "Photographing and Making Money" Pricing Model Based on Game Theory. Sci Discov. 2018;6(5):436-443. doi: 10.11648/j.sd.20180605.29

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@article{10.11648/j.sd.20180605.29,
  author = {Yuefeng Li and Jianzhi Lang and Xingliang Zhou and Yuchen Pan},
  title = {A "Photographing and Making Money" Pricing Model Based on Game Theory},
  journal = {Science Discovery},
  volume = {6},
  number = {5},
  pages = {436-443},
  doi = {10.11648/j.sd.20180605.29},
  url = {https://doi.org/10.11648/j.sd.20180605.29},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20180605.29},
  abstract = {In recent years, the Internet has shown a booming situation. According to the survey, many emerging products have flooded into the market on a large scale. One of the self-service apps that make money by taking pictures has quietly emerged in many big cities. Firstly, taking Shenzhen City, Guangdong Province, China as the research object, the price of photographing and making money in different areas of Guangzhou was collected and analyzed. The relationship between location and price was obtained by multivariate linear fitting, and the latitude and longitude of the failed task after clustering was substituted. The three main reasons for the failure of the task in the software are: low pricing or remote location; members and tasks are far away, members have low credibility, and scheduled tasks start too late; the population of the region The flow rate is low and the market potential is insufficient. Secondly, in order to reduce the probability of task failure, a non-cooperative game model is established to improve the pricing law, which increases the task success rate by 11.3% compared with the original, indicating that the model can effectively improve the task success rate. Finally, in order to avoid the concentration of tasks, users are competing for choice, and also improve the efficiency of task completion. Consider combining these tasks together and publishing them. Therefore, the optimized “crowdsourcing” model is established again, and the implementation of the scheme is evaluated by data fitting. Effect. The result suggests that this model not only effectively ensures the authenticity of the survey's data, but also shortens the survey's period, which is conducive to increasing the respective interests between enterprises and users and promoting economic development.},
 year = {2018}
}

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TY - JOUR
T1 - A "Photographing and Making Money" Pricing Model Based on Game Theory
AU - Yuefeng Li
AU - Jianzhi Lang
AU - Xingliang Zhou
AU - Yuchen Pan
Y1 - 2018/11/08
PY - 2018
N1 - https://doi.org/10.11648/j.sd.20180605.29
DO - 10.11648/j.sd.20180605.29
T2 - Science Discovery
JF - Science Discovery
JO - Science Discovery
SP - 436
EP - 443
PB - Science Publishing Group
SN - 2331-0650
UR - https://doi.org/10.11648/j.sd.20180605.29
AB - In recent years, the Internet has shown a booming situation. According to the survey, many emerging products have flooded into the market on a large scale. One of the self-service apps that make money by taking pictures has quietly emerged in many big cities. Firstly, taking Shenzhen City, Guangdong Province, China as the research object, the price of photographing and making money in different areas of Guangzhou was collected and analyzed. The relationship between location and price was obtained by multivariate linear fitting, and the latitude and longitude of the failed task after clustering was substituted. The three main reasons for the failure of the task in the software are: low pricing or remote location; members and tasks are far away, members have low credibility, and scheduled tasks start too late; the population of the region The flow rate is low and the market potential is insufficient. Secondly, in order to reduce the probability of task failure, a non-cooperative game model is established to improve the pricing law, which increases the task success rate by 11.3% compared with the original, indicating that the model can effectively improve the task success rate. Finally, in order to avoid the concentration of tasks, users are competing for choice, and also improve the efficiency of task completion. Consider combining these tasks together and publishing them. Therefore, the optimized “crowdsourcing” model is established again, and the implementation of the scheme is evaluated by data fitting. Effect. The result suggests that this model not only effectively ensures the authenticity of the survey's data, but also shortens the survey's period, which is conducive to increasing the respective interests between enterprises and users and promoting economic development.
VL - 6
IS - 5
ER -

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Author Information

Yuefeng Li

Department of Mechanical Engineering, Harbin University of Science and Technology, Weihai, China
Jianzhi Lang

Department of Mechanical Engineering, Harbin University of Science and Technology, Weihai, China
Xingliang Zhou

Department of Mechanical Engineering, Harbin University of Science and Technology, Weihai, China
Yuchen Pan

Department of Mechanical Engineering, Harbin University of Science and Technology, Weihai, China

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APA Style

Yuefeng Li, Jianzhi Lang, Xingliang Zhou, Yuchen Pan. (2018). A "Photographing and Making Money" Pricing Model Based on Game Theory. Science Discovery, 6(5), 436-443. https://doi.org/10.11648/j.sd.20180605.29

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ACS Style

Yuefeng Li; Jianzhi Lang; Xingliang Zhou; Yuchen Pan. A "Photographing and Making Money" Pricing Model Based on Game Theory. Sci. Discov. 2018, 6(5), 436-443. doi: 10.11648/j.sd.20180605.29

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AMA Style

Yuefeng Li, Jianzhi Lang, Xingliang Zhou, Yuchen Pan. A "Photographing and Making Money" Pricing Model Based on Game Theory. Sci Discov. 2018;6(5):436-443. doi: 10.11648/j.sd.20180605.29

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@article{10.11648/j.sd.20180605.29,
  author = {Yuefeng Li and Jianzhi Lang and Xingliang Zhou and Yuchen Pan},
  title = {A "Photographing and Making Money" Pricing Model Based on Game Theory},
  journal = {Science Discovery},
  volume = {6},
  number = {5},
  pages = {436-443},
  doi = {10.11648/j.sd.20180605.29},
  url = {https://doi.org/10.11648/j.sd.20180605.29},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20180605.29},
  abstract = {In recent years, the Internet has shown a booming situation. According to the survey, many emerging products have flooded into the market on a large scale. One of the self-service apps that make money by taking pictures has quietly emerged in many big cities. Firstly, taking Shenzhen City, Guangdong Province, China as the research object, the price of photographing and making money in different areas of Guangzhou was collected and analyzed. The relationship between location and price was obtained by multivariate linear fitting, and the latitude and longitude of the failed task after clustering was substituted. The three main reasons for the failure of the task in the software are: low pricing or remote location; members and tasks are far away, members have low credibility, and scheduled tasks start too late; the population of the region The flow rate is low and the market potential is insufficient. Secondly, in order to reduce the probability of task failure, a non-cooperative game model is established to improve the pricing law, which increases the task success rate by 11.3% compared with the original, indicating that the model can effectively improve the task success rate. Finally, in order to avoid the concentration of tasks, users are competing for choice, and also improve the efficiency of task completion. Consider combining these tasks together and publishing them. Therefore, the optimized “crowdsourcing” model is established again, and the implementation of the scheme is evaluated by data fitting. Effect. The result suggests that this model not only effectively ensures the authenticity of the survey's data, but also shortens the survey's period, which is conducive to increasing the respective interests between enterprises and users and promoting economic development.},
 year = {2018}
}

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