摘要
针对"拍照赚钱"APP任务定价,首先运用回归分析和定价分析,构建定价-距离函数模型,分析任务未完成的原因。其次,考虑会员密度,对模型进一步深化,并引入SVM支持向量机,检验发现,与原方案相比,新方案更加合理。然后考虑实际情况,重新修改评价模型,并对新项目检验,评价新方案的实施效果。
In order to"make money for photography"APP task pricing,we first use regression analysis and pricing analysis to construct a pricing-distance function model and analyze why the task is not completed.Secondly,considering the density of members,the model is further deepened,and an SVM support vector machine is introduced.It is found that the new scheme is more reasonable than the original scheme.Then consider the actual situation,revisit the evaluation model,test the new project,and evaluate the effectiveness of the new program.
作者
顾承虎
张姗姗
黄华继
朱家明
GU Cheng-hu;ZHANG Shan-shan;ZHU Jia-ming(School of Finance,Anhui University of Finance and Economics,Bengbu,Anhui,233030,China;School of AccountingAnhui University of Finance and Economics,Bengbu,Anhui,233030,China;School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu,Anhui,233030,China)
出处
《佳木斯大学学报（自然科学版）》
CAS
2018年第6期973-976,共4页
Journal of Jiamusi University：Natural Science Edition
基金
国家自然科学基金(11601001)
安徽高等学校省级自然科学基金资助项目(KJ2013Z001)
2018年国家级大学生科研创新基金项目研究成果(201810378349)
关键词
劳务众包
聚类分析
回归分析
SVM模型
最短路径
labor crowdsourcing
cluster analysis
regression analysis
SVM function
shortest path
