UserDEV:用于用户组分析的混合主动系统

Behrooz Omidvar-Tehrani, S. Amer-Yahia, Eric Simon, Fabian Colque Zegarra, J. Comba, V. Moreira
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引用次数: 2

摘要

用户数据可用性的增加为从行为分析到推荐等各种应用程序提供了新的机会。分析用户数据的一种常用方法是通过“用户组分析”,其目的是将用户分解为不同的组,以便更集中地了解他们的集体行为。这个过程包括群体发现、群体探索和群体可视化。到目前为止,用户组分析是使用单独的工具完成的,这使得分析人员的分析变得支离破碎,而且负担过重。在本文中,我们描述了UserDEV,一个完整的用户组分析管道,它以完全连接的方式结合了用户组的发现、探索和可视化。UserDEV提供了一个类似星形的架构,以及一个公共数据交换模型,以加强分析组件之间的连接。我们提供了一个实际的用例来展示UserDEV如何帮助分析人员对用户组执行分析任务。在我们报告初步用户研究的同时,我们还讨论了对群体分析框架进行端到端评估的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UserDEV: A Mixed-Initiative System for User Group Analytics
The increasing availability of user data constitutes new opportunities in various applications ranging from behavioral analytics to recommendations. A common way of analyzing user data is through "user group analytics" whose purpose is to breakdown users into groups to gain a more focused understanding of their collective behavior. The process consists of group discovery, group exploration, and group visualization. To date, user group analytics is done using separate tools which makes it fragmented and burdensome for analysts. In this paper, we describe UserDEV, a full-fledged user group analytics pipeline which combines discovery, exploration, and visualization of user groups, in a fully-connected fashion. UserDEV contributes a star-like architecture as well as a common data exchange model to tighten connections between the analytics components. We provide a realistic use case to show how UserDEV helps analysts perform analytical tasks on user groups. While we report a preliminary user study, we also discuss opportunities for an end-to-end evaluation of a group analytics framework.
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