公开(公告)号：US10070261B2

公开(公告)日：2018-09-04

申请号：US15285387

申请日：2016-10-04

Applicant: Apple Inc.

Inventor： Michael P. Dal Santo ,  Stephen J. Rhee ,  Ronald K. Huang ,  Nicholas M. Holt

IPC: H04W24/00 ,  H04W4/02 ,  H04W64/00 ,  H04L29/08

Abstract: This disclosure describes embodiments for harvesting and serving labels for locations. In an embodiment, a method comprises: receiving, by one or more server computers, location data including wireless access point data and location labels associated with significant locations, the location data being harvested from a plurality of devices operating at a plurality of geographic locations; and updating, by the one or more server computers, a plurality of fingerprints representing the plurality of geographic locations, the updating including associating at least one of the received location labels with at least one of the plurality of fingerprints.

公开(公告)号：US20180014161A1

公开(公告)日：2018-01-11

申请号：US15713541

申请日：2017-09-22

Applicant: Apple Inc.

Inventor： Richard B. Warren ,  Danil Yuryevich Zvyagintsev ,  Michael P. Dal Santo ,  Liviu T. Popescu ,  Pejman Lotfali Kazemi ,  Hyo Jeong Shin ,  Zehua Zhou

IPC: H04W4/02 ,  G06F17/30

CPC classification number: H04W4/023 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9537 ,  H04W4/021 ,  H04W4/025

Abstract: In an example method, a computer system receives a query from a mobile device, including an indication of a location of the mobile device, and an environmental measurement obtained by the mobile device at the location. A set of candidate points of interest in geographical proximity to the location is determined. For each of one or more candidate points of interest of the set, a location fingerprint of the candidate point of interest and contextual data regarding the candidate point of interest are obtained. A similarity between the environmental measurement and each location fingerprint is determined. A particular candidate point of interest is selected from among the set based on the similarity, and based on an assessment of the contextual data. A label of the selected point of interest is associated with the location and transmitted to the mobile device.

公开(公告)号：US09843895B2

公开(公告)日：2017-12-12

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

IPC: H04W24/00 ,  H04W4/02 ,  G06F9/54 ,  H04L29/08 ,  H04M1/725 ,  G06Q10/10 ,  H04W4/04

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.

公开(公告)号：US09807565B2

公开(公告)日：2017-10-31

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 ,  H04W64/00 ,  H04W88/00 ,  G01S5/02 ,  G01C21/34

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.

公开(公告)号：US09769107B2

公开(公告)日：2017-09-19

申请号：US14070341

申请日：2013-11-01

Applicant: Apple Inc.

Inventor： Lukas M. Marti ,  Shannon M. Ma ,  Michael P. Dal Santo

IPC: H04L12/18 ,  H04L12/58

CPC classification number: H04L51/32

Abstract: Techniques for lifestyle-based social groups are described. A user device can learn movement patterns of the user device. Based on the movement pattern, and a user activity history, a computer system can determine a lifestyle of a user, or a meaning of a location. The system can create a social group based on the lifestyle and the meaning of location. The system can designate the lifestyle or meaning as a theme of the social group. The social group can be an ad hoc social network. For example, the social group can be created without an explicit user request, can be anonymous, and can be lifestyle and location based.

公开(公告)号：US09317813B2

公开(公告)日：2016-04-19

申请号：US13843796

申请日：2013-03-15

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: G06F17/00 ,  G06F17/20 ,  G06N99/00 ,  G01C21/36

CPC classification number: H04L67/18 ,  G01C21/3617 ,  G06N5/022 ,  G06N99/005 ,  H04L67/02 ,  H04L67/10 ,  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）用户采取的先前路由，（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。

公开(公告)号：US20140364149A1

公开(公告)日：2014-12-11

申请号：US14020689

申请日：2013-09-06

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 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：US20140279723A1

公开(公告)日：2014-09-18

申请号：US13843796

申请日：2013-03-15

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: G06N99/00

CPC classification number: H04L67/18 ,  G01C21/3617 ,  G06N5/022 ,  G06N99/005 ,  H04L67/02 ,  H04L67/10 ,  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。