公开(公告)号：AU2014275203A1

公开(公告)日：2015-12-03

申请号：AU2014275203

申请日：2014-05-30

Applicant: APPLE INC

Inventor： MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  HUANG RONALD KERYUAN

IPC: H04W24/00

Abstract: Techniques for modeling significant locations are described. A significant location can be a location that is significant to a user of a mobile device for a variety of reasons. The mobile device can determine that a place or region is a significant location upon determining that, with sufficient certainty, the mobile device has stayed at the place or region for a sufficient amount of time. The mobile device can construct a state model that is an abstraction of one or more significant locations. The state model can include states representing the significant locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model to provide predictive user assistance.

公开(公告)号：AU2014275203B2

公开(公告)日：2017-08-24

申请号：AU2014275203

申请日：2014-05-30

Applicant: APPLE INC

Inventor： MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  HUANG RONALD KERYUAN

IPC: H04W24/00

Abstract: Techniques for modeling significant locations are described. A significant location can be a location that is significant to a user of a mobile device for a variety of reasons. The mobile device can determine that a place or region is a significant location upon determining that, with sufficient certainty, the mobile device has stayed at the place or region for a sufficient amount of time. The mobile device can construct a state model that is an abstraction of one or more significant locations. The state model can include states representing the significant locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model to provide predictive user assistance.

公开(公告)号：WO2014145145A2

公开(公告)日：2014-09-18

申请号：PCT/US2014029859

申请日：2014-03-14

Applicant: APPLE INC

Inventor： MCGAVRAN CHRISTINE B ,  MOORE BRADFORD A ,  BOLSINGA GREGORY D ,  DAL SANTO MICHAEL P ,  MARTI LUKAS ,  PYLAPPAN SEEJO K ,  VAN OS MARCEL

IPC: G01C21/36

CPC classification number: G01C21/00 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G01C21/362 ,  G06N5/04 ,  G06N99/005

Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

Abstract translation: 本发明的一些实施例提供了一种新颖的预测引擎，其（1）可以为用户制定关于当前或将来的目的地和/或路由到这些目的地的预测，以及（2）可以向用户传递关于这些预测的信息。 在一些实施例中，该引擎包括机器学习引擎，其基于存储的用户特定数据有助于预测的未来目的地和/或到目的地的未来路线的制定。 用户特定的数据在不同的实施例中是不同的。 在一些实施例中，所存储的用户特定数据包括关于以下任何组合的数据：（1）用户旅行的先前目的地，（2）用户采取的先前路由，（3）日历中的日历事件的位置 用户日历，（4）用户具有电子票的事件的位置，以及（5）从发送给用户的最近的电子邮件和/或消息中解析的地址。 在一些实施例中，预测引擎仅依赖于存储在该引擎执行的设备上的用户特定数据。 或者，在其他实施例中，它仅依赖于外部设备/服务器在设备外部存储的用户特定数据。 在其他实施例中，预测引擎依赖于由设备和其他设备/服务器存储的用户特定数据。

公开(公告)号：WO2015184184A3

公开(公告)日：2015-12-23

申请号：PCT/US2015033049

申请日：2015-05-28

Applicant: APPLE INC

Inventor： JENSEN BRADLEY JOEL ,  HUANG RONALD K ,  RHEE STEPHEN J ,  BRUINS JAY N ,  DRISCOLL ADAM M ,  MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  DILLON PATRICK THOMAS ,  CAO LILI

IPC: H04W4/02

CPC classification number: H04W4/028 ,  H04W4/021

Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).

Abstract translation: 用于基于用户的日常运动向移动设备向用户提供服务的系统，方法和程序产品。 移动设备基于在集群中的位置中指示用户的兴趣的一个或多个提示来确定位置集群是否指示用户的重要位置。 移动设备可以基于多个位置如何在位置集群中收敛来执行自适应聚类以确定重要位置的区域的大小。 移动设备可以为日历项目提供基于位置的服务，包括预测在日历项目的估计位置的到达时间。 移动设备可以通过应用编程接口（API）提供与移动设备的位置或用户的重要位置相关的各种服务。

公开(公告)号：WO2014197318A3

公开(公告)日：2015-03-19

申请号：PCT/US2014040258

申请日：2014-05-30

Applicant: APPLE INC

Inventor： MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  HUANG RONALD KERYUAN

IPC: H04W24/00

CPC classification number: H04W4/028 ,  G01C21/34 ,  G01S5/0278 ,  G01S5/0294 ,  H04W4/023 ,  H04W64/00 ,  H04W88/005

Abstract: Techniques for modeling significant locations are described. A significant location can be a location that is significant to a user of a mobile device for a variety of reasons. The mobile device can determine that a place or region is a significant location upon determining that, with sufficient certainty, the mobile device has stayed at the place or region for a sufficient amount of time. The mobile device can construct a state model that is an abstraction of one or more significant locations. The state model can include states representing the significant locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model to provide predictive user assistance.

Abstract translation: 描述了对重要位置进行建模的技术。 出于各种原因，重要的位置可以是对移动设备的用户重要的位置。 在确定移动设备已经在该地点或区域停留足够的时间的情况下，移动设备可以确定地点或区域是重要的位置。 移动设备可以构建作为一个或多个重要位置的抽象的状态模型。 状态模型可以包括表示重要位置的状态，以及表示移动设备在位置之间移动的转换。 移动设备可以使用状态模型来提供预测性的用户帮助。

公开(公告)号：WO2014197321A2

公开(公告)日：2014-12-11

申请号：PCT/US2014040273

申请日：2014-05-30

Applicant: APPLE INC

Inventor： MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  HUANG RONALD KERYUAN

CPC classification number: H04W4/028 ,  G01C21/34 ,  G01S5/0278 ,  G01S5/0294 ,  H04W4/023 ,  H04W64/00 ,  H04W88/005

Abstract: Techniques for predictive user assistance are described. A mobile device can learn movement patterns of the mobile device. The mobile device can construct a state model that is an abstraction of locations where the mobile device stayed for sufficient amount of time. The state model can include states representing the locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model, a current location of the mobile device, and a current time to determine a predicted future location of the mobile device at a given future time. Based on the predicted location and the given future time, the mobile device can predict what assistance a user of the mobile device may request. The mobile device can then provide the assistance to the user before the given future time.

Abstract translation: 描述用于预测性用户帮助的技术。 移动设备可以学习移动设备的移动模式。 移动设备可以构建状态模型，其是移动设备停留足够时间的位置的抽象。 状态模型可以包括表示位置的状态，以及表示移动设备在位置之间移动的转换。 移动设备可以使用状态模型，移动设备的当前位置以及当前时间来确定移动设备在给定未来时间的预测的未来位置。 基于预测的位置和给定的未来时间，移动设备可以预测移动设备的用户可以请求哪些帮助。 然后，移动设备可以在给定的未来时间之前向用户提供帮助。

公开(公告)号：EP3005780A4

公开(公告)日：2017-02-15

申请号：EP14737361

申请日：2014-05-30

Applicant: APPLE INC

Inventor： MARTI LUKAS M ,  DAL SANTO MICHAEL P ,  HUANG RONALD KERYUAN

IPC: H04W4/02 ,  G01S5/02 ,  H04W88/00

CPC classification number: H04W4/028 ,  G01C21/34 ,  G01S5/0278 ,  G01S5/0294 ,  H04W4/023 ,  H04W64/00 ,  H04W88/005

Abstract: Techniques for modeling significant locations are described. A significant location can be a location that is significant to a user of a mobile device for a variety of reasons. The mobile device can determine that a place or region is a significant location upon determining that, with sufficient certainty, the mobile device has stayed at the place or region for a sufficient amount of time. The mobile device can construct a state model that is an abstraction of one or more significant locations. The state model can include states representing the significant locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model to provide predictive user assistance.