An efficient pricing strategy of sensing tasks for crowdphotographing

摘要: The advancement of mobile Internet and ubiquitous computing is facilitating various crowdsourcing services in which individuals or organizations obtain goods with less time monetary cost. Recently, crowdphotographing, an emerging self-service mode over the Internet, to recruit several users take pictures via incentive mechanism. Mobile can earn money by executing their requested sensing tasks. Thus, how make efficient pricing strategy becoming a challenge issue crowdphotographing. To this end, paper mainly investigates rationality optimization task for First, we analyze correlation among tasks pricing, location members, Then, multivariable linear regression model adopted determining strategy. Further, improved devised considering package that be packaged terms locations distribution.