软件众包的实例研究

Software Crowdsourcing Case Study

软件众包平台,这种基于移动互联网的自助式劳务众包平台不仅能够快速为企业提供各种商业检查和真实有效的信息搜集,还能够为用户带来可观收益。平台的良性运转取决于平台两端企业和用户,且企业与用户无法直接沟通,因此只能依靠平台对任务发布规则和任务标价去促成双方最大程度的满意。依据已结束项目的数据聚集位置在地图上的呈现,市与市之间因为地形、河流不同导致城市规划的区别,这也就导致了不同市之间定价的函数类型一致,但具体的函数却不尽相同。除了位置与距离,更应结合生活状况考虑到会员分布、城市规划、人口流量、经济发展能力这些客观因素对定价的影响。在只有已结束项目完成情况做数据挖掘的情况下,第一代定价模型只能在任务经纬度和任务标价这三者之间进行发掘。

The software crowdsourcing platform, which is a self-service labor-based crowdsourcing platform based on mobile Internet, can not only provide enterprises with various business inspections and real and effective information collection, but also can bring considerable benefits to users. The benign operation of the platform depends on the enterprises and users at the two ends of the platform and the enterprises and users cannot directly communicate with each other. Therefore, the platform can only rely on the task publishing rules and the task price to promote the maximum satisfaction of both parties. According to the presentation of the data aggregation location of the completed project on the map, the difference between the city and the city due to different terrain and rivers leads to the difference in city planning, which leads to the same type of function of pricing among different cities, but the specific function is not exactly. In addition to location and distance, the influence of objective factors such as membership distribution, urban planning, population flow, and economic development capacity on pricing should be taken into account in conjunction with the living conditions. In the case of data mining only when the completion of the project has been completed, the first-generation pricing model can only be excavated between the task latitude and longitude and the task price.