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Systems and methods for predicting personal attributes based on public interaction data

机译:基于公共交互数据预测个人属性的系统和方法

摘要

Embodiments of a system for determining personal attributes based on public interaction data are illustrated. In one embodiment, the system employs a process for predicting personal attributes based on public interaction data by constructing matrices based on user interactions drawn from public posts on a social media website. The process may further learn a compact representation for a plurality of users based on public posts using the matrices, extract the compact representation of one or more users that have been labeled, and apply a classifier to learn about a particular personal attribute. Through this, a prediction of personal attributes of users that have not been labeled may be obtained.
机译:示出了用于基于公共交互数据确定个人属性的系统的实施例。在一个实施例中,该系统采用一种过程,该过程用于通过基于基于从社交媒体网站上的公共帖子中绘制的用户交互来构造矩阵来基于公共交互数据来预测个人属性。该过程可以进一步使用矩阵基于公共帖子来学习多个用户的紧凑表示,提取已经被标记的一个或多个用户的紧凑表示,并且应用分类器来学习特定的个人属性。通过这样,可以获得未被标记的用户的个人属性的预测。

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