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软件众包的实例研究

2018-08-07马悦张楠

科教导刊 2018年12期
关键词:数据挖掘

马悦 张楠

摘 要 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。

关键词 软件众包 分区定价 数据挖掘 K-means聚类

中图分类号:F270 文献标识码:A DOI:10.16400/j.cnki.kjdkx.2018.04.030

Software Crowdsourcing Case Study

MA Yue, ZHANG Nan

(College of Science, Yanbian University, Yanji, Jilin 133000)

Abstract 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.

Keywords software crowdsourcing; partition pricing; data mining; K-means clustering

0 引言

“拍照賺钱”是时下非常火热的一种自助式服务模式,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。用户通过下载APP,注册成为会员,便可以领取拍照任务,上传任务照片后赚取相应酬金。“拍照赚钱”APP的核心要素是任务定价。如果定价过低,用户完成任务所获得的“利润”不能满足预期,就会导致有些任务无法完成;如果定价过高,企业和APP平台的利益无法得到最大的保障,因此要综合考虑任务区域的经济状况、任务的位置、会员的位置、会员的人数、信誉度等因素以确保三方的利益都能够得到满足。……

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