Analysis of Optimal Pricing Model of Crowdsourcing Platform Based on Cluster and Proportional Sharing

Abstract

Aiming at the shortage of the task pricing model of current crowdsourcing platform, the paper use the improved proportional sharing mechanism to set up a general pricing optimization model that can evaluate mission success rate in advance. In order to optimize the pricing model, a strategy for packaging some tasks that are near in location into one task based on DBSCAN clustering algorithm is proposed, and the specific implementation method is given. At the same time, the pricing data set of a popular crowdsourcing platform is quoted to evaluate the pricing model. Through the simulation experiments of the algorithm in the data set, the pricing model established in the paper shows good practicability and novelty.