公开(公告)号：US09454726B1

公开(公告)日：2016-09-27

申请号：US13911879

申请日：2013-06-06

Applicant: Google Inc.

Inventor： Jin Yao ,  Andrew Baldwin ,  Calvin Lee ,  Hui Sok Moon ,  Hetal Thakkar

IPC: G06F17/00 ,  G06F17/20 ,  G06N5/02 ,  G06N5/04

CPC classification number: G06N5/04 ,  G06F3/0481 ,  G06N5/022 ,  G06Q30/0204

Abstract: Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.

Abstract translation: 提供了在一组行为数据中定义自定义段的系统和方法。 所描述的方法包括接收与多个用户设备相关联的一组行为数据并识别多个队列组，每个群组包括一个或多个用户设备。 行为数据包括用于每个用户设备的行为度量，并且基于每个用户设备的行为度量识别队列组。 该方法还包括生成包括多个队列组的图形可视化的分割界面，并且使分割界面经由用户界面装置呈现。 该方法还包括基于经由分割界面的多个队列组中的一个或多个的用户选择来定义行为数据的自定义段。

公开(公告)号：US11100405B1

公开(公告)日：2021-08-24

申请号：US15265632

申请日：2016-09-14

Applicant: Google Inc.

Inventor： Jin Yao ,  Andrew Baldwin ,  Calvin Lee ,  Hui Sok Moon ,  Hetal Thakkar

IPC: G06N5/02

Abstract: Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.