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    Prediction Engine
    1.
    发明申请
    Prediction Engine 有权
    预测引擎

    公开(公告)号：US20140278051A1

    公开(公告)日：2014-09-18

    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: G01C21/00 ,  G06N5/04 ,  G06N99/00

    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。

    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA
    2.
    发明申请
    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA 有权
    使用CROWD-SOURCED本地化应用程序使用数据的APP建议

    公开(公告)号：US20130325856A1

    公开(公告)日：2013-12-05

    申请号：US13842724

    申请日：2013-03-15

    Applicant: Apple Inc.

    Inventor： Leonardo A. Soto Matamala ,  Ronald K. Huang ,  Lukas Marti ,  Xiaoyuan Tu

    IPC: G06F17/30

    CPC classification number: G06F17/3087 ,  G06F17/30241 ,  G06F17/30554 ,  G06F17/3089 ,  H04L12/16 ,  H04L43/106 ,  H04M7/0024 ,  H04W4/02 ,  H04W4/021 ,  H04W4/21 ,  H04W8/18 ,  H04W12/02 ,  H04W40/242

    Abstract: Apps may be tagged with location data when they are used. Mobile device may anonymously submit app usage data. Aggregated app usage data from many mobile devices may be analyzed to determine apps that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the app usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular app, the device populations in a particular area, etc. Based on the localized app analysis, apps may be ranked according to local relevance, and, based on this ranking, app recommendations may be provided to a user.

    Abstract translation: 应用程序在使用时可能会使用位置数据进行标记。 移动设备可以匿名提交应用使用数据。 可以分析来自许多移动设备的聚合应用使用数据，以确定与给定位置特别相关（即，呈现高度定位）的应用。 分析可以包括确定应用使用强度，无论是否在给定位置存在热点，特定应用的空间熵，特定区域中的设备种群等。基于本地化应用分析，应用可以根据 本地相关性，并且基于该排名，可以向用户提供应用建议。

    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA
    3.
    发明申请
    APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA 审中-公开
    使用CROWD-SOURCED本地化应用程序使用数据的APP建议

    公开(公告)号：US20170075910A1

    公开(公告)日：2017-03-16

    申请号：US15360156

    申请日：2016-11-23

    Applicant: APPLE INC.

    Inventor： Leonardo A. Soto Matamala ,  Ronald K. Huang ,  Lukas Marti ,  Xiaoyuan Tu

    IPC: G06F17/30 ,  H04W4/20 ,  H04W12/02 ,  H04W40/24 ,  H04L12/26 ,  H04M7/00 ,  H04W4/02 ,  H04W8/18

    Abstract: Applications may be tagged with location data when they are used. Mobile device may anonymously submit application usage data. Aggregated application usage data from many mobile devices may be analyzed to determine applications that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the application usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular application, the device populations in a particular area, etc. Based on the localized application analysis, applications may be ranked according to local relevance, and, based on this ranking, application recommendations may be provided to a user.

    Abstract translation: 应用程序在使用时可能会使用位置数据进行标记。 移动设备可以匿名提交应用使用数据。 可以分析来自许多移动设备的聚合应用使用数据，以确定与给定位置特别相关（即，呈现高度定位）的应用。 分析可以包括确定应用使用强度，在给定位置是否存在热点，特定应用的空间熵，特定区域中的设备群体等。基于本地化应用分析，应用可以根据 本地相关性，并且基于该排名，可以向用户提供应用建议。

    App recommendation using crowd-sourced localized app usage data
    4.
    发明授权
    App recommendation using crowd-sourced localized app usage data 有权
    应用推荐使用大众来源的本地化应用使用数据

    公开(公告)号：US09510141B2

    公开(公告)日：2016-11-29

    申请号：US13842724

    申请日：2013-03-15

    Applicant: Apple Inc.

    Inventor： Leonardo A. Soto Matamala ,  Ronald K. Huang ,  Lukas Marti ,  Xiaoyuan Tu

    IPC: H04W4/02 ,  H04W8/18 ,  H04L12/16 ,  G06F17/30 ,  H04M7/00 ,  H04W4/20 ,  H04W40/24

    CPC classification number: G06F17/3087 ,  G06F17/30241 ,  G06F17/30554 ,  G06F17/3089 ,  H04L12/16 ,  H04L43/106 ,  H04M7/0024 ,  H04W4/02 ,  H04W4/021 ,  H04W4/21 ,  H04W8/18 ,  H04W12/02 ,  H04W40/242

    Abstract: Apps may be tagged with location data when they are used. Mobile device may anonymously submit app usage data. Aggregated app usage data from many mobile devices may be analyzed to determine apps that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the app usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular app, the device populations in a particular area, etc. Based on the localized app analysis, apps may be ranked according to local relevance, and, based on this ranking, app recommendations may be provided to a user.

    Abstract translation: 应用程序在使用时可能会使用位置数据进行标记。 移动设备可以匿名提交应用使用数据。 可以分析来自许多移动设备的聚合应用使用数据，以确定与给定位置特别相关（即，呈现高度定位）的应用。 分析可以包括确定应用使用强度，无论是否在给定位置存在热点，特定应用的空间熵，特定区域中的设备种群等。基于本地化应用分析，应用可以根据 本地相关性，并且基于该排名，可以向用户提供应用建议。

    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE
    5.
    发明申请
    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE 审中-公开

    公开(公告)号：US20200160223A1

    公开(公告)日：2020-05-21

    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: G06N20/00 ,  H04W4/02 ,  H04L29/08 ,  G06N5/02 ,  G01C21/36

    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.

    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE
    7.
    发明申请
    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE 审中-公开
    具有预测路由引擎的移动设备

    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

    IPC: H04L29/08 ,  G06N5/02 ,  H04W4/02

    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。

    Prediction engine
    8.
    发明授权
    Prediction engine 有权
    预测引擎

    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。

    Mobile device with predictive routing engine
    10.
    发明授权
    Mobile device with predictive routing engine 有权

    公开(公告)号：US10579939B2

    公开(公告)日：2020-03-03

    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

    IPC: G06N20/00 ,  G01C21/36 ,  G06N5/02 ,  H04L29/08 ,  H04W4/02

    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.

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