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数据挖掘在“拍照赚钱”任务定价中的应用
Application of Data Mining in Pricing of "Photographing and Making Money" Task
【摘要】 "拍照赚钱"是移动互联网下的一个自助式服务模式。APP用户会员通过完成需要拍照的任务,赚取对任务所标定的酬金。因此,任务定价是该平台运行的核心要素。本文利用数据挖掘的手段探索位置、任务、会员等相关因素与任务定价乃至任务认领完成情况的量化关系,实现统计建模,并优化了任务定价分配方案。
【Abstract】 "Photographing and making money" is a self-service mode under the mobile Internet. An APP user member earns a reward for the task by completing a task that requires photographing. Therefore, task pricing is the core element of the platform’s operation. This paper uses data mining tools to explore the quantitative relationship between location, tasks, members and other relevant factors and the task pricing and task completion, achieve statistical modeling, and optimize the task of pricing allocation program.
- 【文献出处】 数字技术与应用 ,Digital Technology and Application , 编辑部邮箱 ,2018年04期
- 【分类号】TP311.13
- 【被引频次】1
- 【下载频次】303