摘要
随着移动互联网技术的发展,自助式劳务空间众包平台变得日益盛行。为了解决在空间众包环境下任务位置集中时的最优定价问题,该文考虑任务集中时的打包情况,引入整体自适应打包寻优模型来评估全局任务完成度,最终给出新项目的任务定价方案。
With the development of mobile Internet technology, self-service labor crowdsourcing platform has become increasingly prevalent. In order to solve the optimal pricing problem when the task location is centralized in the crowdsourcing environment, this paper considers the packaging situation when the task is centralized, introduces the overall adaptive package optimization model to evaluate the global task completion degree and finally gives the task of new project Pricing program.
作者
张宇
朱佳伟
郭珺然
ZHANG Yu;ZHU Jia-wei;GUO Jun-ran(College of Nuclear Science and Technology-,University of South China,Hengy-ang 421001,China;College of Nuclear Resources Engineering,University of South China,Hengy-ang 421001,China)
出处
《价值工程》
2018年第20期74-77,共4页
Value Engineering
关键词
空间众包
任务定价
自适应寻优
最优匹配模型
spatial crowdsourcing
task pricing
adaptive optimization
optimal matching model
