公开(公告)号：US20150112831A1

公开(公告)日：2015-04-23

申请号：US14578596

申请日：2014-12-22

Applicant: Google Inc.

Inventor： Dean Kenneth Jackson ,  Daniel Victor Klein

IPC: G06Q30/06 ,  H04L12/26

CPC classification number: G06Q30/0631 ,  H04L43/04 ,  H04L67/22

Abstract: An electronic device may generate use related information and resource consumption related information corresponding to each of used applications used in the electronic device. The use related information and the resource consumption related information may then be transmitted to a remote applications manager, which may analyze the information to generate, based on the analysis, specially tailored application recommendations. The application recommendations may list one or more other applications, newly available or offered, which may be recommended for download to and/or use in the electronic device. The analysis of the use and the resource consumption information may comprise ranking the used applications, such as based on use patterns and/or resource consumption, and/or classification of the used applications, such as based on application type. Generating the application recommendations may comprise correlating used applications, based on classification and/or ranking, with similar applications that may be recommended.

Abstract translation: 电子设备可以生成与电子设备中使用的每个使用的应用相对应的使用相关信息和资源消耗相关信息。 然后可以将使用相关信息和资源消耗相关信息发送到远程应用管理器，其可以基于分析来分析信息以生成特别定制的应用建议。 应用程序建议可以列出可能推荐用于下载到电子设备和/或在电子设备中使用的一种或多种其他新的可用或可用的应用。 使用和资源消耗信息的分析可以包括例如基于使用模式和/或资源消耗对所使用的应用进行排序，和/或使用的应用的分类，诸如基于应用类型。 生成应用程序建议可以包括基于分类和/或排名将所使用的应用与可能推荐的类似应用相关联。

公开(公告)号：US20150058679A1

公开(公告)日：2015-02-26

申请号：US13975719

申请日：2013-08-26

Applicant: Google Inc.

Inventor： Dean Kenneth Jackson ,  Daniel Victor Klein

IPC: G06F11/34

CPC classification number: G06F11/3433 ,  G06F8/62 ,  G06F8/65 ,  G06F9/44552 ,  G06F9/52 ,  G06F11/0742 ,  G06F11/0793 ,  G06F11/3409 ,  G06Q30/0601 ,  H04W4/50 ,  H04W4/60

Abstract: Methods and systems for automatically identifying an application that is experiencing performance problems caused by a resource utilization event may include receiving an indication that an application is experiencing a performance issue. It may be determined that the performance issue is caused by a resource utilization event on a device. The resource utilization event may include the application and one or more other applications running simultaneously, use of one or more functions of the device simultaneously by at least one of the first application and one or more other applications, and/or a resource utilization overload based on simultaneous use of a plurality of sensors on the device. Next, action may be taken to correct the performance issue of the application.

Abstract translation: 用于自动识别遇到由资源利用事件引起的性能问题的应用的方法和系统可以包括接收应用程序正在经历性能问题的指示。 可能会确定性能问题是由设备上的资源利用事件引起的。 资源利用事件可以包括应用和同时运行的一个或多个其他应用，由第一应用和一个或多个其他应用中的至少一个同时使用设备的一个或多个功能，和/或基于资源利用过载 同时使用设备上的多个传感器。 接下来，可以采取行动来纠正应用程序的性能问题。

公开(公告)号：US20150039690A1

公开(公告)日：2015-02-05

申请号：US13956332

申请日：2013-07-31

Applicant: Google Inc.

Inventor： Dean Kenneth Jackson ,  Daniel Victor Klein

IPC: G06F15/173

CPC classification number: H04L67/306 ,  G06F15/17306 ,  G06F17/3053 ,  G06Q10/10 ,  G06Q50/01 ,  H04L51/14 ,  H04L51/20 ,  H04L51/32 ,  H04L67/18

Abstract: Software authenticates the user of a social networking service which maintains one or more lists of contacts associated with the user that can be used by the user to selectively share content. The software ascertains a proposed group of contacts from at least one of the lists. The user and members of the proposed group are related by a plurality of communications and the communications are associated with one or more attributes including at least one of geographic locations associated with the communication, time of communication, or medium of communication. The software presents the proposed group of contacts to the user, with a recommendation that the user create a new list of contacts associated with the user from the proposed group of contacts. The software creates the new list of contacts from the proposed group, if the user indicates acceptance of the recommendation.

Abstract translation: 软件验证社交网络服务的用户，该社交网络服务维护与用户相关联的一个或多个可由用户使用的联系人列表以选择性地共享内容。 该软件确定了至少一个列表中提出的一组联系人。 所提出的组的用户和成员通过多个通信相关联，并且通信与包括与通信相关联的地理位置，通信时间或通信媒介中的至少一个的一个或多个属性相关联。 该软件向用户呈现建议的联系人组，并建议用户从建议的联系人组创建与用户相关联的联系人的新列表。 如果用户指示接受推荐，该软件将从建议组创建新的联系人列表。

公开(公告)号：US20150026006A1

公开(公告)日：2015-01-22

申请号：US14060357

申请日：2013-10-22

Applicant: GOOGLE INC.

Inventor： Dean Kenneth Jackson ,  Daniel Victor Klein

IPC: G06Q30/06

CPC classification number: G01C21/343 ,  G01C21/00 ,  G01C21/34 ,  G01C21/3617 ,  G01C21/3679 ,  G01C21/3691 ,  H04W4/029

Abstract: A latency analysis system determines a latency period, such as a wait time, at a user destination. To determine the latency period, the latency analysis system receives location history from multiple user devices. With the location histories, the latency analysis system identifies points-of-interest that users have visited and determines the amount of time the user devices were at a point-of-interest. For example, the latency analysis system determines when a user device entered and exited a point-of-interest. Based on the elapsed time between entry and exit, the latency analysis system determines how long the user device was inside the point-of-interest. By averaging elapsed times for multiple user devices, the latency analysis system determines a latency period for the point-of-interest. The latency analysis system then uses the latency period to provide latency-based recommendations to a user. For example, the latency analysis system may determine a shopping route for a user.