公开(公告)号：US09726510B2

公开(公告)日：2017-08-08

申请号：US14426573

申请日：2013-10-24

Applicant: Intel Corporation

Inventor： Omer Shmuel Peri ,  Ronen Aharon Soffer ,  Amir Yissachar ,  Noam Sagi

IPC: G01C21/12 ,  G01C21/10 ,  G01C21/34

CPC classification number: G01C21/3476

Abstract: A method for navigation includes receiving in a mobile computing device (24) a designation of an origin (32, 92) and a destination (34, 94) of an itinerary of a user of the device. An optimal primary route (96) is computed from the origin to the destination. Multiple points of interest (40, 98, 100) are identified in proximity to the optimal primary route. A respective first optimal sub-route (42) is computed between the origin and each of the points of interest, and a respective second optimal sub-route (44) is computed between the destination and each of the points of interest. One or more alternative routes (102, 104) from the origin to the destination via one or more of the points of interest are presented to the user on the mobile computing device, by combining the respective first and second optimal sub-routes computed for the one or more of the points of interest.

公开(公告)号：US20170372268A1

公开(公告)日：2017-12-28

申请号：US15191594

申请日：2016-06-24

Applicant: Intel Corporation

Inventor： Gili Ilan ,  Noam Sagi ,  Gil Sharon ,  Oded Vainas ,  Ronen Aharon Soffer

IPC: G06Q10/10 ,  G06N99/00

Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

公开(公告)号：US20170372267A1

公开(公告)日：2017-12-28

申请号：US15191591

申请日：2016-06-24

Applicant: Intel Corporation

Inventor： Ronen Aharon Soffer ,  Oded Vainas ,  Gili Ilan ,  Noam Sagi ,  Merav Greenfeld

IPC: G06Q10/10

CPC classification number: G06Q10/1095

Abstract: Various techniques for performing contextual event rescheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This model is operated by the event scheduling service determine a contextual action option for rescheduling an electronic communication event at a proposed time with proposed scheduling parameters. The model may identify the proposed time and event scheduling parameters, from data indicating a user state, or external data, in addition to a semantic text option (such as “Call Back After Meeting”) corresponding to the proposed time and event scheduling parameters. Further examples to evaluate user activity and identify reschedule options based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

公开(公告)号：US10685332B2

公开(公告)日：2020-06-16

申请号：US15191594

申请日：2016-06-24

Applicant: Intel Corporation

Inventor： Gili Ilan ,  Noam Sagi ,  Gil Sharon ,  Oded Vainas ,  Ronen Aharon Soffer

IPC: G06Q10/10 ,  G06N20/00 ,  H04M3/56

Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

公开(公告)号：US20150285652A1

公开(公告)日：2015-10-08

申请号：US14426573

申请日：2013-10-24

Applicant: INTEL CORPORATION

Inventor： Omer Shmuel Peri ,  Ronen Aharon Soffer ,  Amir Yissachar ,  Noam Sagi

IPC: G01C21/34

CPC classification number: G01C21/3476

Abstract: A method for navigation includes receiving in a mobile computing device (24) a designation of an origin (32, 92) and a destination (34, 94) of an itinerary of a user of the device. An optimal primary route (96) is computed from the origin to the destination. Multiple points of interest (40, 98, 100) are identified in proximity to the optimal primary route. A respective first optimal sub-route (42) is computed between the origin and each of the points of interest, and a respective second optimal sub-route (44) is computed between the destination and each of the points of interest. One or more alternative routes (102, 104) from the origin to the destination via one or more of the points of interest are presented to the user on the mobile computing device, by combining the respective first and second optimal sub-routes computed for the one or more of the points of interest.

Abstract translation: 导航方法包括在移动计算设备（24）中接收设备的用户的行程的原点（32,92）和目的地（34,94）的指定。 从原点到目的地计算最优主要路线（96）。 在最佳主要路线附近识别出多个兴趣点（40,98,100）。 在起始点和每个兴趣点之间计算相应的第一最佳子路线（42），并且在目的地和每个兴趣点之间计算相应的第二最佳子路线（44）。 通过组合为第一和第二最佳子路由计算的相应的第一和第二最优子路由，在移动计算设备上向用户呈现从起点到目的地的一个或多个替代路线（102,104） 一个或多个兴趣点。