本文针对众包平台的任务定价问题进行了研究分析,并构建定价规律的数学模型。首先对不同经纬度进行区域划分,通过搜集资料找到不同区域的经济水平、会员密集程度和会员活跃度。再依据多元曲线拟合分析未完成的主要原因是期望定价大于实际定价,而活跃会员少和当地经济水平较发达则是期望定价过高的主要原因。 This paper analyzes the task pricing of crowdsourcing platform and builds a mathematical model of pricing rules. First of all, different latitudes and longitudes of the regional division, through the collection of information to find different regions of the economic level, membership-intensive and membership activities. Based on multivariate curve fitting analysis, the main reason for the unfinished business is that the expected price is greater than the actual price, while the less active members and the more developed local economy are the main reasons for the high price expectation.