Research On Crowd-sourcing Task Pricing Based On The "Photo-making" APP

Under the background of the "Internet+" era,more and more people,companies,organizations and institutions begin to seek solutions to solve problems on the Internet,and gradually form a new business model--crowd-sourcing.Task pricing is a key research issue in the field of crowd-sourcing,and the same is true for the"photo-earning" APP.Task pricing is the core element of the "photo-earning" APP.Therefore,reasonable pricing of tasks in the "photo-earning”APP is of great value and significance to the normal and sustainable operation of the APP and the crowd-sourcing platform.Based on the research of crowd-sourcing task bidding at home and abroad,it is found that the current research is mainly of strategic nature,and the functional expression of crowd-sourcing bidding is not found.The key to all this is how to make a reasonable bid so that the task publisher can get a higher task completion rate at a lower cost.Through data analysis,this paper studies the factors influencing the bidding behavior of crowd-sourcing,and k-means cluster analysis,regression analysis and analytic hierarchy process to formulate reasonable bidding strategies.Based on the goal of "low cost,high efficiency",an optimization model of multi-constraint conditions is established,and a new task pricing and allocation model is obtained by solving the model with the idea of maximum flow.In addition,in order to further reduce costs and improve task completion rate,it is considered to package tasks according to certain packaging criteria,discuss the pricing and distribution model after packaging tasks,and figure out the distance between members and task packages based on TSP problem so as to reasonably price the task packages.Finally,the results show that the application of the pricing model presented in this paper can reduce the cost of publishers and improve the task completion rate,thus demonstrating the feasibility of the model.