INFORMATION RANKING BASED ON PROPERTIES OF A COMPUTING DEVICE

    公开(公告)号:US20170147579A1

    公开(公告)日:2017-05-25

    申请号:US14949074

    申请日:2015-11-23

    Applicant: Google Inc.

    Abstract: A system is described that, after executing a parameterless search query to identify results that are determined to be relevant to a user of a device, determines a respective target property, for each of the results, that indicates whether a result is associated with audio content, visual content, audio and visual content, haptic content, or textual content. The system also determines one or more dynamic properties, of the device, that indicate one or more of a network connection strength, connection status to an audio output device, battery level, or connection status to a multimedia streaming device. Based on the one or more dynamic properties of the computing device and the respective target property of each of the results, the system determines a dynamic ranking of the results and transmits the results and the dynamic ranking to the device

    Transportation information systems and methods
    3.
    发明授权
    Transportation information systems and methods 有权
    运输信息系统和方法

    公开(公告)号:US09552729B2

    公开(公告)日:2017-01-24

    申请号:US14145370

    申请日:2013-12-31

    Applicant: Google Inc.

    Abstract: An exemplary method includes determining whether real-time vehicle location information deviates from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method further includes generating scheduling information for a user based on user data and the public transportation data, determining that the real-time vehicle location information deviates from at least one of the historical real-time vehicle location information or the scheduled vehicle location information by more than a threshold deviation, and updating the scheduling information for the user based on the user data, the public transportation data, and the determined deviation.

    Abstract translation: 一种示例性方法包括确定实时车辆位置信息是否偏离历史实时车辆位置信息或调度车辆位置信息中的至少一个。 该示例性方法还包括基于用户数据和公共交通数据为用户生成调度信息,确定实时车辆位置信息偏离历史实时车辆位置信息或调度车辆位置信息中的至少一个 超过阈值偏差,并且基于用户数据,公共交通数据和所确定的偏差来更新用户的调度信息。

    DETERMINING A STATISTIC ABOUT RESOURCES EXPENDED FOR GOODS OR SERVICES IN A CONTEXT

    公开(公告)号:US20190188739A1

    公开(公告)日:2019-06-20

    申请号:US14322537

    申请日:2014-07-02

    Applicant: Google Inc.

    CPC classification number: G06Q30/0202

    Abstract: Methods, apparatus and computer-readable media (transitory and non-transitory) are disclosed for identifying a good or service of potential interest to the user and a context in which the good or service would be consumed, determining, based on historical data, a statistic about resources expended by other users to consume goods or services of a same class as the good or service of potential interest to the user in contexts that correspond to the predicted context, and providing an indication of the statistic. In some implementations, the good or service of potential interest to the user may be predicted, e.g., based on one or more signals associated with the user.

    DETECTING AND CORRECTING POTENTIAL ERRORS IN USER BEHAVIOR

    公开(公告)号:US20170083821A1

    公开(公告)日:2017-03-23

    申请号:US14860151

    申请日:2015-09-21

    Applicant: Google Inc.

    CPC classification number: G06N7/005 G01C21/3617 G06N5/022

    Abstract: A computing system is described that predicts a future action to be taken by a user of a computing device and determines, based on contextual information associated with the computing device, a current action being taken by the user. The computing system determines, based on the current action, a degree of likelihood of whether the user will be able to take the future action and predicts, based on the degree of likelihood, that the user will not be able to take the future action. The computing system sends information to the computing device indicating that the current action being taken by the user will lead to the user not being able to take the future action.

    Information ranking based on properties of a computing device

    公开(公告)号:US10685029B2

    公开(公告)日:2020-06-16

    申请号:US14949074

    申请日:2015-11-23

    Applicant: Google Inc.

    Abstract: A system is described that, after executing a parameterless search query to identify results that are determined to be relevant to a user of a device, determines a respective target property, for each of the results, that indicates whether a result is associated with audio content, visual content, audio and visual content, haptic content, or textual content. The system also determines one or more dynamic properties, of the device, that indicate one or more of a network connection strength, connection status to an audio output device, battery level, or connection status to a multimedia streaming device. Based on the one or more dynamic properties of the computing device and the respective target property of each of the results, the system determines a dynamic ranking of the results and transmits the results and the dynamic ranking to the device.

    GRAPHICAL USER INTERFACE TO PROVIDE TRIP INFORMATION

    公开(公告)号:US20180174075A1

    公开(公告)日:2018-06-21

    申请号:US15382580

    申请日:2016-12-16

    Applicant: GOOGLE INC.

    CPC classification number: G06Q10/02 G06F3/0482 G06Q10/1095 G06T11/206

    Abstract: Travel preferences are received from a user for a trip including a starting location, starting travel date, destination and arrival date. At least one month is presented in a calendar via a graphical user interface, including a month associated with the starting travel date. For one or more days from the starting travel date, a value of a feature is determined that is associated with originating travel on a respective day. A lowest value of the feature is determined of a ticket to travel on a trip starting on the respective day that lasts a projected number of days equal to a proposed trip length plus or minus a predetermined number of days. The lowest value of the feature for each day is presented in the calendar and in a graph that includes axes representing value of the feature and days.

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