基于多元线性回归对众包任务价格的设定
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摘要
在空间众包研究中,针对网络众包任务的价问题,综合分析众包任务发布地的会员密度、商业发展等数据,通过建立多元回归线性分析模型,得出对网络众包任务的价策略。通过聚类分析对任务的发布做优化,对一些距离过近的任务进行打包。最后利用神经网络算法由已完成的任务数据,预测待完成的任务是否成功。通过对预测数据进行仿真,得出任务密度、会员密度、会员信誉度和价对任务完成度与任务价成本的影响。
In this paper, based on the data of the member density of crowdsourcing assignments and commercial statistics, a multifactor linear regression model is established and so is the pricing strategy. Moreover, the optimization of the assignments is done according to clustering analysis. At last, a neural network algorithm for evaluating the price whether they can be accepted by the customer is given as well. Based on those models, the solution of the simulation sees the impact which the density of assignments and members, credit and price bring to the completion ratio and the cost of the platform.
In this paper, based on the data of the member density of crowdsourcing assignments and commercial statistics, a multifactor linear regression model is established and so is the pricing strategy. Moreover, the optimization of the assignments is done according to clustering analysis. At last, a neural network algorithm for evaluating the price whether they can be accepted by the customer is given as well. Based on those models, the solution of the simulation sees the impact which the density of assignments and members, credit and price bring to the completion ratio and the cost of the platform.
引文
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[2] University of California. SETI@home.[2018-02-21]. http://setiathome.berkeley.edu/
[3]北京拍拍赚科技有限责任公司.[2018-02-21]. http://www.ppznet.com/about.html
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[10]孙世超,顾保南,邓澄远.2015年中国城市轨道交通运营线路统计和分析——中国城市轨道交通“年报快递”之三[J].城市轨道交通研究,2016,19(01):1-4, 9
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[15]薛薇.R语言数据挖掘方法及应用[M].北京:电子工业出版社,2016:228-231
[16]肖华勇,周吕文,赵松.大学生数学建模竞赛指南[M].北京:电子工业出版社, 2015
[2] University of California. SETI@home.[2018-02-21]. http://setiathome.berkeley.edu/
[3]北京拍拍赚科技有限责任公司.[2018-02-21]. http://www.ppznet.com/about.html
[4] Minder P, Seuken S, Bernstein A, et al. CrowdManager-Combinatorial allocation and pricing of crowdsourcing tasks with timeconstraints[C].Workshop on Social Computing and User Generated Content, June 7, 2012, Valencia, Spain..
[5]YangY,LiM,HarmanM.Pricingcrowdsourcing-basedsoftwaredevelopmenttasks[M].SanFrancisco,CA:35thInternationalConference on Software Engineering(ICSE), 2013:18-26
[6] Singer Y, Mittal M. Pricing Mechanisms for Crowdsourcing Markets[J].Workshop on Human Computation,2011:1157-1166
[7]任延静.众包平台创新竞赛中加价延期机制采纳决策的研究[A].中国管理现代化研究会、复旦管理学奖励基金会.第八届(2013)中国管理学年会——信息管理分会场论文集[C].中国管理现代化研究会、复旦管理学奖励基金会, 2013:10
[8] Minder P, Seuken S, Bernstein A, et al. CrowdManager-Combinatorial allocation and pricing of crowdsourcing tasks with timeconstraints[C]..Workshop on Social Computing and User Generated Content, June 7, 2012, Valencia, Spain..
[9] Horton J J, Chilton L B. The labor economics of paid crowdsourcing[C]//2010:209-218
[10]孙世超,顾保南,邓澄远.2015年中国城市轨道交通运营线路统计和分析——中国城市轨道交通“年报快递”之三[J].城市轨道交通研究,2016,19(01):1-4, 9
[11]国家地震局地球物理研究所.近震分析[M].北京:地震出版社, 1977
[12]广州市统计局.广州统计信息手册2016[M].广州:广州市统计局,2016
[13]深圳市统计局,国家统计局深圳调查队. 2016深圳统计年鉴[M].北京:中国统计出版社, 2016
[14]佛山市统计信息网.[2017/9/16]. http://www.fstjj.gov.cn/tjsj/dqsczj/gdp2015/
[15]薛薇.R语言数据挖掘方法及应用[M].北京:电子工业出版社,2016:228-231
[16]肖华勇,周吕文,赵松.大学生数学建模竞赛指南[M].北京:电子工业出版社, 2015