Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 203-.doi: 10.11896/jsjkx.200900024

• Big Data & Data Science • Previous Articles     Next Articles

TAN-based Service Pricing Strategy

HAN Li-xia1, ZHANG Zhan-ying2   

  1. 1 The People's Procuratorate of Tianjin Xiqing District, Tianjin 300380, China
    2 College of Computer and Information Engineering,Tianjin Normal University,Tianjin 300387,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:HAN Li-xia,born in 1985,postgra-duate.Her main research interests include network security and so on.
    ZHANG Zhan-ying,born in 1984,Ph.D,lecturer,is a member of China ComputerFederation.His main research interests include iot and big data.

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Abstract: Aiming at the pricing problem of labor crowd sourcing platform in mobile Internet,this paper uses multiple linear regression to fit the main influencing factors of price.Based on the idea of divide and conquer,the geographic information is divided into five regions by using tree gain naive Bayesian network (TAN).Through clustering analysis,the scattered points are clustered,and the regional member reputation calculation method is proposed,and each region is calculated separately.According to the credibility and geographical location,the prices of different regions are derived.The solution proposed in this paper has a certain reference significance to the pricing problem,which is greatly affected by geographic information.

Key words: Crowd sourcing, Pricing strategy, TAN

CLC Number: 

  • TP399
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