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USER DATA SEGMENTATION AUGMENTED WITH PUBLIC EVENT STREAMS FOR FACILITATING CUSTOMIZATION OF ONLINE CONTENT

机译:用户数据分段使用公共事件流增强,以促进在线内容的自定义

摘要

Techniques are described herein for intelligently identifying and creating user segments based on public data attributes in addition to user data attributes. In certain embodiments, a data analytics platform is disclosed that receives user data associated with users and public event streams from public data sources. The data analytics platform selects a set of public event categories associated with the public event streams to display in a segment builder application for generating user segments associated with the users. The data analytics platform outputs the set of public event categories and the user data associated with the users to enable a user of the segment builder application to generate the user segments based on the user data and the set of one or more public event categories.
机译:除了用户数据属性之外,本文在此描述了基于公共数据属性来智能识别和创建用户段的技术。在某些实施例中,公开了一种数据分析平台,其接收与来自公共数据源的用户和公共事件流相关联的用户数据。数据分析平台选择与公共事件流关联的一组公共事件类别,以在段构建器应用程序中显示,用于生成与用户相关联的用户段。数据分析平台输出与用户关联的公共事件类别的集合和用户数据,以使段构建器应用程序的用户基于用户数据和一个或多个公共事件类别的集合来生成用户段。

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