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In recent years, with a massive rise of mobile Internet applications, enterprise the self-help service crowdsourcing platform based on mobile Internet use of network resources for commercial inspection and information gathering. The paper mainly studies the factors that affect pricing in package task, eventually establish a reasonable pricing model, improve the completion of tasks. To obtain pricing rule, the first big data processing, using SPSS software for longitude, latitude and pricing for clustering analysis, it is concluded that the clustering center and clustering center distance and location analysis task thus giving pricing patterns and clustering center task latitude and longitude position and the distance of the three factors of relationship, and then find out the pricing rule, multivariate regression model. But because of the analysis of influence factors is too single, which leads to the unreasonable parts of pricing, the final task can't complete; So, give the pricing, tasks unfinished cause failure.

Pricing Model of Self-Service Package