移动互联网自助式劳务众包任务定价问题的研究

Research on Task Pricing of Mobile Internet Self-Service Labor Crowdsourcing

摘要: 移动互联网自助式劳务众包平台，为企业提供各种商业检查和信息搜集，有效保证了调查数据的真实性，缩短了调查的周期。本文将劳务众包的任务定价问题考虑为一个多目标优化问题，目标函数是任务完成率和调查成本。从而，根据优化的结果得出了新的任务定价方案，结果表明新方案对完成率的提高产生了有益的效果。本文所涉及数据来自于2017年全国大学生数学建模竞赛B题(CUMCM2017B)。

Abstract: The mobile Internet self-service labor crowdsourcing platform provides enterprises with various business inspections and information collections, effectively guarantees the authenticity of survey data and shortens the investigation cycle. This paper considers the task pricing of labor crowdsourcing as a multi-objective optimization problem. The objective function is the task com-pletion rate and survey cost. Therefore, according to the result of the optimization, a new task pricing plan is obtained. The result shows that the new scheme has a beneficial effect on the im-provement of the completion rate. The data covered in this article come from the 2017 China Un-dergraduate Mathematical Contest in Modeling (CUMCM2017B).