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公开(公告)号：US09449053B2
公开(公告)日：2016-09-20
申请号：US14546511
申请日：2014-11-18
Applicant: Google Inc.
Inventor： Guang Yang , Tushar Udeshi , Andrew Kirmse , Emil Praun , Pablo Bellver , Keir Banks Mierle
CPC classification number: G06N7/005 , G06F17/30241 , G06F17/3053 , G06F17/30864 , G06F17/3087 , G06N5/02 , G06N5/04 , G06N99/005
Abstract: In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
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公开(公告)号：US20130345957A1
公开(公告)日：2013-12-26
申请号：US13955874
申请日：2013-07-31
Applicant: Google Inc.
Inventor： Guang Yang , Tushar Udeshi , Andrew Kirmse , Emil Praun , Pablo Bellver , Keir Banks Mierle
CPC classification number: G06N7/005 , G06F17/30241 , G06F17/3053 , G06F17/30864 , G06F17/3087 , G06N5/02 , G06N5/04 , G06N99/005
Abstract: In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
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3.发明申请公开(公告)号：US20160321555A1
公开(公告)日：2016-11-03
申请号：US15206913
申请日：2016-07-11
Applicant: Google Inc.
Inventor： Guang Yang , Tushar Udeshi , Andrew Kirmse , Emil Praun , Pablo Bellver , Keir Banks Mierle
CPC classification number: G06N7/005 , G06F16/24578 , G06F16/29 , G06F16/951 , G06F16/9537 , G06N5/02 , G06N5/04 , G06N20/00
Abstract: In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
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公开(公告)号：US08959168B2
公开(公告)日：2015-02-17
申请号：US13940439
申请日：2013-07-12
Applicant: Google Inc.
Inventor： Emil Praun , James A. Guggemos , Gokay Baris Gultekin , Tom Carl Stamm
CPC classification number: G01W1/10 , H04L51/00 , H04L51/046 , H04L51/20
Abstract: A computing system is described that can automatically provide weather forecast information to a user based on the user's expected future location. In some embodiments, the methods can include predicting a future location of a user and storing the future location in the memory, fetching weather forecast information associated with the future location of the user, and outputting, to a mobile device associated with the user, the weather forecast information associated with the future location of the user.
Abstract translation: 描述了可以基于用户预期的未来位置向用户自动提供天气预报信息的计算系统。 在一些实施例中，所述方法可以包括预测用户的未来位置并将未来位置存储在存储器中，获取与用户的未来位置相关联的天气预报信息，以及向与用户相关联的移动设备输出 与用户的未来位置相关联的天气预报信息。
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公开(公告)号：US20150127263A1
公开(公告)日：2015-05-07
申请号：US14592201
申请日：2015-01-08
Applicant: Google Inc.
Inventor： Emil Praun , James A. Guggemos , Gokay Baris Gultekin , Tom Carl Stamm
IPC: G01W1/10
CPC classification number: G01W1/10 , H04L51/00 , H04L51/046 , H04L51/20
Abstract: A computing system is described that can automatically provide weather forecast information to a user based on the user's expected future location. In some embodiments, the methods can include predicting a future location of a user and storing the future location in the memory, fetching weather forecast information associated with the future location of the user, and outputting, to a mobile device associated with the user, the weather forecast information associated with the future location of the user.
Abstract translation: 描述了可以基于用户预期的未来位置向用户自动提供天气预报信息的计算系统。 在一些实施例中，所述方法可以包括预测用户的未来位置并将未来位置存储在存储器中，获取与用户的未来位置相关联的天气预报信息，以及向与用户相关联的移动设备输出 与用户的未来位置相关联的天气预报信息。
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Patent Agency Ranking
6.发明申请RANKING NEARBY DESTINATIONS BASED ON VISIT LIKELIHOODS AND PREDICTING FUTURE VISITS TO PLACES FROM LOCATION HISTORY 有权基于访问利益相关者的近期目的地和预测未来位置的位置历史公开(公告)号：US20150073693A1
公开(公告)日：2015-03-12
申请号：US14546511
申请日：2014-11-18
Applicant: Google Inc.
Inventor： Guang Yang , Tushar Udeshi , Andrew Kirmse , Emil Praun , Pablo Bellver , Keir Banks Mierle
CPC classification number: G06N7/005 , G06F17/30241 , G06F17/3053 , G06F17/30864 , G06F17/3087 , G06N5/02 , G06N5/04 , G06N99/005
Abstract: In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
Abstract translation: 在一些示例中，系统和技术可以至少部分地基于来自与用户相关联的位置历史的相应目的地和地理位置之间的相应距离以及比较来确定多个目的地的每个相应目的地的相应访问似然 在与地理位置相关联的时间和跨越时间的访问似然度分布之间。 系统和技术可以对多个目的地中的至少一些进行排序。 在其他示例中，系统和技术可以至少部分地基于与用户相关联的位置历史来确定在时隙的未来实例期间用户是否可能访问某个地点。 然后，系统和技术可以在时隙的未来实例开始之前输出与该地点有关的信息。
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7.发明授权Ranking nearby destinations based on visit likelihoods and predicting future visits to places from location history 有权根据访问可能性对附近目的地进行排名，并预测未来访问位置历史记录的地点公开(公告)号：US08949013B2
公开(公告)日：2015-02-03
申请号：US13955874
申请日：2013-07-31
Applicant: Google Inc.
Inventor： Guang Yang , Tushar Udeshi , Andrew Kirmse , Emil Praun , Pablo Bellver , Keir Banks Mierle
CPC classification number: G06N7/005 , G06F17/30241 , G06F17/3053 , G06F17/30864 , G06F17/3087 , G06N5/02 , G06N5/04 , G06N99/005
Abstract: In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
Abstract translation: 在一些示例中，系统和技术可以至少部分地基于来自与用户相关联的位置历史的相应目的地和地理位置之间的相应距离以及比较来确定多个目的地的每个相应目的地的相应访问似然 在与地理位置相关联的时间和跨越时间的访问似然度分布之间。 系统和技术可以对多个目的地中的至少一些进行排序。 在其他示例中，系统和技术可以至少部分地基于与用户相关联的位置历史来确定在时隙的未来实例期间用户是否可能访问某个地点。 然后，系统和技术可以在时隙的未来实例开始之前输出与该地点有关的信息。
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公开(公告)号：US20140350843A1
公开(公告)日：2014-11-27
申请号：US14455075
申请日：2014-08-08
Applicant: Google Inc.
Inventor： Tom Carl Stamm , Dale Kris Hawkins , James A. Guggemos , Tushar Udeshi , Pablo Bellver , Emil Praun , Guang Yang , Andrew Kirmse , Gokay Baris Gultekin , Bill Connor , Keir Banks Mierle
CPC classification number: G01C21/00 , G01C21/3697 , G01S19/13 , G06Q10/109 , G06Q10/1095 , H04L67/26 , H04W4/023 , H04W4/029
Abstract: A computing system is described that obtains, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time and event information associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and, based at least in part on the duration of time, obtains a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time based on the event. The computing system outputs, for transmission to the computing device, an indication associated with the event and including information indicative of the departure time.
Abstract translation: 描述了一种计算系统，其至少部分地基于包括在与计算设备的用户相关联的至少一个先前通信中的信息，获得与未来位置相关联的未来位置和未来时间和事件信息的指示，以及 未来的时间。 计算系统获得用户从计算设备的当前位置到未来位置的持续时间，并且至少部分地基于持续时间，获得用户被预测的出发时间 需要离开当前位置，以便根据事件到达时间到达未来的位置。 计算系统输出用于传输到计算设备的与事件相关联的指示并且包括指示出发时间的信息。
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公开(公告)号：US08831879B2
公开(公告)日：2014-09-09
申请号：US13952454
申请日：2013-07-26
Applicant: Google Inc.
Inventor： Tom Carl Stamm , Dale Kris Hawkins , James A. Guggemos , Tushar Udeshi , Pablo Bellver , Emil Praun , Guang Yang , Andrew Kirmse , Gokay Baris Gultekin , Bill Connor , Keir Banks Mierle
CPC classification number: G01C21/00 , G01C21/3697 , G01S19/13 , G06Q10/109 , G06Q10/1095 , H04L67/26 , H04W4/023 , H04W4/029
Abstract: A computing system is described that obtains, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time and event information associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and, based at least in part on the duration of time, obtains a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time based on the event. The computing system outputs, for transmission to the computing device, an indication associated with the event and including information indicative of the departure time.
Abstract translation: 描述了一种计算系统，其至少部分地基于包括在与计算设备的用户相关联的至少一个先前通信中的信息，获得与未来位置相关联的未来位置和未来时间和事件信息的指示，以及 未来的时间。 计算系统获得用户从计算设备的当前位置到未来位置的持续时间，并且至少部分地基于持续时间，获得用户被预测的出发时间 需要离开当前位置，以便根据事件到达时间到达未来的位置。 计算系统输出用于传输到计算设备的与事件相关联的指示并且包括指示出发时间的信息。
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公开(公告)号：US20130346523A1
公开(公告)日：2013-12-26
申请号：US13940439
申请日：2013-07-12
Applicant: Google Inc.
Inventor： Emil Praun , James A. Guggemos , Gokay Baris Gultekin , Tom Carl Stamm
IPC: H04L12/58
CPC classification number: G01W1/10 , H04L51/00 , H04L51/046 , H04L51/20
Abstract: A computing system is described that can automatically provide weather forecast information to a user based on the user's expected future location. In some embodiments, the methods can include predicting a future location of a user and storing the future location in the memory, fetching weather forecast information associated with the future location of the user, and outputting, to a mobile device associated with the user, the weather forecast information associated with the future location of the user.
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