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公开(公告)号：US20160212229A1
公开(公告)日：2016-07-21
申请号：US15085994
申请日：2016-03-30
Applicant: Apple Inc.
Inventor： Christine B. McGavran , Bradford A. Moore , Gregory D. Bolsinga , Michael P. Dal Santo , Lukas Marti , Seejo K. Pylappan , Marcel van Os
CPC classification number: G06N20/00 , G01C21/3617 , G06N5/022 , H04L67/02 , H04L67/10 , H04L67/18 , H04L67/22 , H04W4/025
Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's 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. The device's prediction engine only relies on user-specific data stored on the device in some embodiments, relies only on user-specific data stored outside of the device by external devices/servers in other embodiments, and relies on user-specific data stored both by the device and by other devices/servers in other embodiments.
Abstract translation: 本发明的一些实施例为移动设备提供了一种新颖的路由预测引擎，其中（1）可以为设备的用户制定有关当前或未来目的地和/或路由到这些目的地的预测，以及（2）可以向用户转发关于 这些预测。 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用户前往的以下（1）先前目的地的任何组合的数据，（2）用户采取的先前路线，（3）用户的日历中的日历事件的位置 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，设备的预测引擎仅依赖于存储在设备上的用户特定数据，在其他实施例中仅依赖于外部设备/服务器在设备外部存储的用户特定数据，并且依赖于由 该装置以及其他实施例中的其他设备/服务器。
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公开(公告)号：US09303997B2
公开(公告)日：2016-04-05
申请号：US14081895
申请日：2013-11-15
Applicant: Apple Inc.
Inventor： Christine B. McGavran , Bradford A. Moore , Gregory D. Bolsinga , Michael P. Dal Santo , Lukas Marti , Seejo K. Pylappan , Marcel van Os
IPC: B60G17/018 , B60G23/00 , B62C3/00 , B62K25/00 , G06F7/00 , G06F19/00 , G06F17/00 , G01C21/00 , G06N5/04 , G06N99/00 , G01C21/34 , 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。
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公开(公告)号：US20150350842A1
公开(公告)日：2015-12-03
申请号：US14502677
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： Ronald K. Huang , Lili Cao , Lukas M. Marti , Michael P. Dal Santo
CPC classification number: H04W4/021 , G06F9/54 , G06Q10/1095 , H04L67/18 , H04L67/26 , H04M1/72566 , H04M1/72572 , H04W4/027 , H04W4/029 , H04W4/04
Abstract: Systems, methods, and program products for determining a location of a calendar item are described. A mobile device can receive a calendar item including a description and a time. The mobile device can determine that, at the time specified in the calendar item, the mobile device is located at a location that is estimated to be significant to a user. The mobile device can store the description in association with the significant location. Upon receive a new calendar item containing at least one term in the description, the mobile device can predict that the user will visit the significant location at the time specified in the new calendar item. The mobile device can provide user assistance based on the prediction.
Abstract translation: 描述用于确定日历项目的位置的系统，方法和程序产品。 移动设备可以接收包括描述和时间的日历项目。 移动设备可以确定在日历项目中指定的时间，移动设备位于估计对用户有意义的位置。 移动设备可以存储与重要位置相关联的描述。 在接收到在描述中包含至少一个术语的新日历项目时，移动设备可以预测用户将在新日历项目中指定的时间访问重要位置。 移动设备可以基于预测提供用户帮助。
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公开(公告)号：US20150350828A1
公开(公告)日：2015-12-03
申请号：US14502464
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Michael P. Dal Santo , Ronald K. Huang , Lili Cao
CPC classification number: H04W4/021 , G06F9/54 , G06Q10/1095 , H04L67/18 , H04L67/26 , H04M1/72566 , H04M1/72572 , H04W4/027 , H04W4/029 , H04W4/04
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: 基于用户日常运动程序，由移动设备向用户提供服务的系统，方法和程序产品。 移动设备基于指示用户在群集中的位置的兴趣的一个或多个提示来确定位置群集是否指示用户的重要位置。 移动设备可以执行自适应聚类，以基于多个位置如何在位置聚类中聚合来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。
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55.发明申请公开(公告)号：US20150264518A1
公开(公告)日：2015-09-17
申请号：US14207132
申请日：2014-03-12
Applicant: APPLE INC.
Inventor： Michael P. Dal Santo , Lukas M. Marti
IPC: H04W4/02
CPC classification number: H04W4/02 , G06Q30/0201 , G06Q30/0261 , G06Q50/01 , H04W4/21 , H04W64/00
Abstract: A mobile device enables its user to retroactively “check in,” on social media, to locations to which the device has previously been. The mobile device automatically tracks the locations to which it goes during some time interval. As the mobile device goes to each location, the mobile device stores data that specifies that location. Following the time interval, and potentially in response to a request by the device's user to view the locations previously visited, the mobile device presents a list of at least some of the locations on its display. The device's user can select one or more of the presented locations. The selection of a location causes the mobile device to post, to an Internet-based social media service, information pertaining to the selected location. For example, such information can indicate that the device's user had been at the selected location.
Abstract translation: 移动设备使其用户能够在社交媒体上追溯地“检入”到设备之前所在的位置。 移动设备在一段时间间隔内自动跟踪它进入的位置。 随着移动设备到达每个位置，移动设备存储指定该位置的数据。 在时间间隔之后，并且潜在地响应于设备用户查看先前访问的位置的请求，移动设备在其显示器上呈现至少一些位置的列表。 设备的用户可以选择一个或多个所呈现的位置。 选择位置使得移动设备向基于因特网的社交媒体服务发布与所选择的位置有关的信息。 例如，这样的信息可以指示设备的用户已经在所选择的位置。
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Patent Agency Ranking
公开(公告)号：US20140364150A1
公开(公告)日：2014-12-11
申请号：US14022099
申请日：2013-09-09
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Michael P. Dal Santo , Ronald Keryuan Huang
IPC: H04W4/02
CPC classification number: H04W4/028 , G01C21/34 , G01S5/0278 , G01S5/0294 , H04W4/023 , H04W4/029 , 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。
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公开(公告)号：US20250005195A1
公开(公告)日：2025-01-02
申请号：US18731009
申请日：2024-05-31
Applicant: Apple Inc.
Inventor： Daniel P. Shepard , Michael P. Dal Santo , Ping-Ko Chiu , Kumar Gaurav Chhokra , Yannick L. Sierra , Andrew M. Pace , Richard L. Hagy , Lindsey McAllister , Dharini Sitaraman , Andrew N. Khoury , Richard Bower Warren , Brent M. Ledvina , Siva Ganesh Movva , Ronald Keryuan Huang , Robert W. Mayor , Stacey F. Lysik , Areeba Kamal , Ryan D. Shelby , Elizabeth Caroline Furches Cranfill , Kanika Malhotra , Gillian T. Verga
Abstract: Embodiments of the present disclosure are directed to, among other things, monitoring a user device to determine whether a user associated with the device is safe. In some examples, a user (which may be referred to herein as an “initiator” establishes a device monitoring session (which may be referred to herein as “session”) with a user, or a group of users, so that the user(s) are notified either when the initiator has safely ended the device monitoring session or receives access to session data that was collected during the session. In some configurations, the session can be handed off from a first user device that is currently active to a different user device. Instead of the first user device always being the device that interacts with the server, a different first user device may be selected as the active device to interact with the server.
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公开(公告)号：US12153154B2
公开(公告)日：2024-11-26
申请号：US17566476
申请日：2021-12-30
Applicant: Apple Inc.
Inventor： François M. Jouaux , Rama Krishna Chitta , Lukas M. Marti , Michael P. Dal Santo , Ronald Keryuan Huang
IPC: G01S5/02 , G01C21/26 , G01C21/36 , G06Q10/047 , G06Q10/101 , G06Q90/00 , G08G1/01 , G08G1/123 , H04W4/02 , H04W4/024 , H04W4/029 , H04W4/40 , H04W4/42 , H04W88/00
Abstract: Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.
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公开(公告)号：US11934961B2
公开(公告)日：2024-03-19
申请号：US16747698
申请日：2020-01-21
Applicant: Apple Inc.
Inventor： Christine B. McGavran , Bradford A. Moore , Gregory D. Bolsinga , Michael P. Dal Santo , Lukas Marti , Seejo K. Pylappan , Marcel van Os
IPC: G06N5/02 , G01C21/36 , G06N5/022 , G06N20/00 , G06Q10/109 , H04L67/02 , H04L67/10 , H04L67/50 , H04L67/52 , H04W4/02
CPC classification number: G06N5/02 , G01C21/3617 , G01C21/362 , G01C21/3691 , G06N5/022 , G06N20/00 , G06Q10/109 , H04L67/02 , H04L67/10 , H04L67/52 , H04L67/535 , H04W4/025
Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.
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公开(公告)号：US11934160B2
公开(公告)日：2024-03-19
申请号：US17035450
申请日：2020-09-28
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Lili Cao , Michael P. Dal Santo
CPC classification number: G05B15/02 , G06N7/01 , G06N20/00 , H04L12/282 , H04L12/2827 , H04M1/72454 , H04W4/021 , H04W4/023 , H04W4/029 , H04L2012/2841
Abstract: A mobile device can provide predictive user assistance based on various sensor readings, independently of or in addition to a location of the mobile device. The mobile device can determine a context of an event. The mobile device can store the context and a label of the event on a storage device. The label can be provided automatically by the mobile device or by the external system without user input. At a later time, the mobile device can match new sensor readings with the stored context. If a match is found, the mobile device can predict that the user is about to perform the action or recognize that the user has performed the action again. The mobile device can perform various operations, including, for example, providing user assistance, based on the prediction or recognition.
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