公开(公告)号：US09817869B2

公开(公告)日：2017-11-14

申请号：US14258996

申请日：2014-04-22

Applicant: Google Inc.

Inventor： Hrishikesh Aradhye ,  Wei Hua ,  Ruei-Sung Lin ,  Mohammed Saberian

IPC: G06F3/048 ,  G06F17/30 ,  G06F3/0481 ,  G06F3/0482 ,  G06Q10/10 ,  H04L12/58

CPC classification number: G06F17/3053 ,  G06F3/0481 ,  G06F3/0482 ,  G06Q10/107 ,  H04L51/24 ,  H04L51/26 ,  H04L51/38

Abstract: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

公开(公告)号：US20140229880A1

公开(公告)日：2014-08-14

申请号：US14258996

申请日：2014-04-22

Applicant: Google Inc.

Inventor： Hrishikesh Aradhye ,  Wei Hua ,  Ruei-Sung Lin ,  Mohammed Saberian

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F3/0481 ,  G06F3/0482 ,  G06Q10/107 ,  H04L51/24 ,  H04L51/26 ,  H04L51/38

Abstract: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

Abstract translation: 所公开技术的某些实施例包括用于使用机器学习确定移动设备上的通知的优先级的系统和方法。 所公开技术的其他方面包括基于通知的优先级选择性地显示通知。 根据所公开的技术的实施例，提供了一种计算机实现方法，其包括向可操作地耦合到移动设备的显示设备输出多个通知，其中来自所述多个通知的每个相应的通知与相应的 优先分数 由所述移动设备修改基于响应于来自所述多个通知的第一通知接收到的用户输入和来自所述多个通知的第二通知的特征的排序模型; 基于所述修改的排序模型，由所述移动设备确定与第三通知相关联的优先级得分; 以及基于与所述第三通知相关联的优先级得分将所述第三通知输出到所述显示设备，其中所述第三通知响应于与所述第三通知相关联的优先级得分大于至少一个与 来自多个通知的对应的相应通知。