“拍照赚钱”定价优化问题

"Photography Making" Pricing Optimization Problem

随着互联网的兴起,基于自助式互联网服务平台的"拍照赚钱"APP逐渐受到欢迎。为了解决众包任务定价问题,笔者依据2017年全国大学生数学建模B题提供的数据,通过系统聚类、逐步回归和二值响应回归等方法,对众包任务的价格建立了定价模型,并利用非线性规划建立了定价的优化模型。研究得出:周围人数越多或距离高信誉值会员越远,任务定价会越高;任务未完成是由任务过于分散、距离会员过远或价格过低等因素导致的。

Due to the rise of the Internet, the ＂Photo Make Money＂ APP based on the self-service internet service platform is gradually gaining popularity. In order to solve the problem of crowdsourcing task pricing, based on the data provided by the National College Students Mathematical Modeling Question B in 2017, the pricing model of crowdsourcing tasks is established through systematic clustering, stepwise regression and binary response regression. Using non-linear programming proposed pricing optimization model. The result shows that the more people around or the higher the reputation, the higher the task pricing will be. The unfinished task is caused by too scattered tasks, too far away from members or too low prices.