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Maximizing benefits from crowdsourced data

机译:最大化众包数据的收益

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Crowds of people can solve some problems faster than individuals or small groups. A crowd can also rapidly generate data about circumstances affecting the crowd itself. This crowdsourced data can be leveraged to benefit the crowd by providing information or solutions faster than traditional means. However, the crowdsourced data can hardly be used directly to yield usable information. Intelligently analyzing and processing crowdsourced information can help prepare data to maximize the usable information, thus returning the benefit to the crowd. This article highlights challenges and investigates opportunities associated with mining crowdsourced data to yield useful information, as well as details how crowdsource information and technologies can be used for response-coordination when needed, and finally suggests related areas for future research.
机译:人群可以比个人或小组更快地解决一些问题。人群还可以快速生成有关影响人群本身的情况的数据。通过比传统方式更快地提供信息或解决方案,可以利用这种众包数据使众人受益。但是,众包数据很难直接用于产生可用信息。智能分析和处理众包信息可以帮助准备数据以使可用信息最大化,从而将收益回报给众人。本文重点介绍了挑战,并研究了与挖掘众包数据相关联以产生有用信息的机会,并详细介绍了如何在需要时使用众包信息和技术进行响应协调,并最终提出了相关领域以供将来研究。

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