基于多元线性回归的众包任务定价

Crowdsourcing Mission Pricing Based on Multiple Linear Regression

针对众包任务定价的问题,根据大量的任务点与会员位置信息数据,首先借助BDP软件对任务进行数据挖掘,探究其定价规律,进一步分析其部分任务未完成原因;接着通过分析选出三个区域,并以区域1为例运用多元线性回归的方法建立任务点定价的模型;最终利用残差分析与点预测的方法对定价模型进行检验,得出最优的任务定价模型.

To analyze the Crowdsourcing task pricing issues,according to a large number of tasks and member position information data,used BDP software for data mining task,its pricing law is explored,and some of its unfinished task reasons are analyzed. Then three regions are selected by analysis,and the pricing model of task points in region 1 as an example is established by using multiple linear regression method.Finally,the pricing model is tested by residual analysis and point forecasting method,and the optimal task pricing model is obtained.