Pricing Model of Crowdsourced Tasks Based on Single-ObjectiveOptimizing Model

This paper aims at the crowdsourced tasks pricing problem for app ofMaking Money by Photographing.Considering the difference of regional pricing,the algorithm is based on curve fitting tool and K-Means clustering analysis algorithm.The statistic package for social science(SPSS)software is used to analyze the pricing rules of the package task and the regional living standard,the time cost,the per capita task number and the task difficulty coefficient.A new single objective optimization model is set up,which takes the task price as the decision variable,the profit limit of the public package platform as the constrain condition and the goal of maximizing the completion rate of the regional task.Considering that the task is packaged and released,the pricing model is modified,and the implementation effect of simulation is given by Monte Carlo simulation.