基于多元线性回归对众包任务价格的设定

Analysis and evaluation on the price of crowdsourcing assignments

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.