基于回归模型的众包定价方案的计量分析

Study on quantitative analysis of crowd sourcing pricing based on regression model

针对"拍照赚钱"外包平台的任务定价问题,运用了多元线性拟合、BP神经网络算法及竞争导向定价法等,构建了基于任务聚集度相关指标的多元线性回归模型、基于三个显著影响指标的多元非线性回归模型及考虑密集任务可打包发布的任务定价模型,运用了Matlab软件编程求解,得出了原定价方案的定价与任务的密集程度有关的定价规律、任务未完成原因以及打包的影响.

Based on the multi-linear regression model,the BP neural network algorithm and the competition-oriented pricing method were used to construct the multi-linear regression model based on the correlation index of the task aggregation degree in this paper. Based on the three significant influencing indexes,the multi-linear regression model and the task pricing model which can be packaged in the intensive task were used. The pricing method of the pricing of the original pricing scheme and the degree of intensity of the task were obtained by Matlab software programming. The reasons of the completion of the task and the package influences were also been achieved.