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    Asymmetric Rankers for Vector-Based Recommendation
    1.
    发明申请
    Asymmetric Rankers for Vector-Based Recommendation 审中-公开
    基于向量推荐的不对称排名

    公开(公告)号：US20150242750A1

    公开(公告)日：2015-08-27

    申请号：US14188086

    申请日：2014-02-24

    Applicant: Google Inc.

    Inventor： John Roberts Anderson ,  Ryan Michael Rifkin ,  Douglas Eck

    IPC: G06N5/04

    CPC classification number: G06Q30/0631 ,  G06F16/3347

    Abstract: An asymmetric system for obtaining recommendations is disclosed. A reference magnitude may be obtained from a seed and/or a user model. The reference magnitude may be utilized to adjust the magnitude of candidate vectors that represent one or more items in a multi-dimensional vector space. This permits an item to receive credit for a popularity up to a certain point. The dot products between the adjusted candidate vectors and the seed vector may be obtained and, in some configurations, ranked. The highest dot products may correspond to items that are preferred to be recommended according to an implementation.

    Abstract translation: 公开了一种用于获得建议的不对称系统。 可以从种子和/或用户模型获得参考幅度。 可以利用参考幅度来调整表示多维向量空间中的一个或多个项目的候选向量的大小。 这允许项目在一定程度上获得受欢迎程度的信用。 可以获得调整后的候选向量与种子向量之间的点积，并且在一些配置中可以进行排名。 最高点产品可以对应于根据实施方案推荐推荐的项目。

    Scoring candidates for set recommendation problems
    3.
    发明授权
    Scoring candidates for set recommendation problems 有权

    公开(公告)号：US10115146B1

    公开(公告)日：2018-10-30

    申请号：US14688691

    申请日：2015-04-16

    Applicant: GOOGLE INC.

    Inventor： John Roberts Anderson ,  Ryan Michael Rifkin ,  Jay Yagnik ,  Rasmus Larsen ,  Sarvjeet Singh ,  Yi-Fan Chen ,  Anandsudhakar Kesari

    IPC: G06Q30/00 ,  G06Q30/06 ,  G06Q30/02

    Abstract: Implementations include systems and methods for scoring candidates for set recommendation problems. An example method includes repeating, for each code in code arrays for items in a set of items, determining a most common value for the code. In some implementations, the method includes determining that the most common value occurs with a frequency that meets an occurrence threshold and adding the code and the most common value to set-inclusion criteria. In other implementations, the method includes determining a value for the code from a code array for a seed item and adding the code and the most common value to set-inclusion criteria when the value for the code from the code array for the seed item matches the most common value. The method may also include evaluating a similarity with a candidate item based on the set-inclusion criteria and basing a recommendation regarding the candidate item on the similarity.

    Real time personalization and categorization of entities
    5.
    发明申请
    Real time personalization and categorization of entities 审中-公开
    实体个性化和实体分类

    公开(公告)号：US20150170035A1

    公开(公告)日：2015-06-18

    申请号：US14096815

    申请日：2013-12-04

    Applicant: GOOGLE INC.

    Inventor： Sarvjeet Singh ,  John Roberts Anderson ,  Ryan Michael Rifkin

    IPC: G06N5/02

    CPC classification number: G06N5/022

    Abstract: A user model may be generated using affinity and exposure values for each item a user interacts with in an embedded space. The user model may include exemplars which may refer to representative items in the embedded space. Based on the user model, a recommendation of items may be provided to the user. A truncated form of the user model and/or the recommended items may be sent to the user's mobile device.

    Abstract translation: 可以使用用户在嵌入式空间中交互的每个项目的亲和度和曝光值来生成用户模型。 用户模型可以包括可以参考嵌入空间中的代表性项目的示例。 基于用户模型，可以向用户提供项目的推荐。 可以将用户模型和/或推荐项目的截断形式发送到用户的移动设备。

    Using ultrasound to improve IMU-based gesture detection
    6.
    发明授权
    Using ultrasound to improve IMU-based gesture detection 有权

    公开(公告)号：US09811311B2

    公开(公告)日：2017-11-07

    申请号：US14230038

    申请日：2014-03-31

    Applicant: Google Inc.

    Inventor： Boris Smus ,  Christian Plagemann ,  Ankit Mohan ,  Ryan Michael Rifkin

    IPC: G06F3/16 ,  G06F3/01 ,  G01S1/76 ,  G01S11/14

    CPC classification number: G06F3/167 ,  G01S1/763 ,  G01S11/14 ,  G06F3/017

    Abstract: The present disclosure provides techniques for improving IMU-based gesture detection by a device using ultrasonic Doppler. A method may include detecting the onset of a gesture at a first device based on motion data obtained from an IMU of the first device. An indication of the detection of the onset of the gesture may be provided to a second device. Next, a first audio signal may be received from the second device. As a result, the gesture may be identified based on the motion data and the received first audio signal. In some cases, a first token encoded within the first audio signal may be decoded and the first token may be provided to a third coordinating device. A confirmation message may be received from the third coordinating device based on the first token provided and identifying the gesture may be further based on the confirmation message.

    Using Ultrasound to Improve IMU-based Gesture Detection
    8.
    发明申请
    Using Ultrasound to Improve IMU-based Gesture Detection 有权
    使用超声波改善基于IMU的手势检测

    公开(公告)号：US20150261495A1

    公开(公告)日：2015-09-17

    申请号：US14230038

    申请日：2014-03-31

    Applicant: Google Inc.

    Inventor： Boris Smus ,  Christian Plagemann ,  Ankit Mohan ,  Ryan Michael Rifkin

    IPC: G06F3/16 ,  G06F3/01

    CPC classification number: G06F3/167 ,  G01S1/763 ,  G01S11/14 ,  G06F3/017

    Abstract: The present disclosure provides techniques for improving IMU-based gesture detection by a device using ultrasonic Doppler. A method may include detecting the onset of a gesture at a first device based on motion data obtained from an IMU of the first device. An indication of the detection of the onset of the gesture may be provided to a second device. Next, a first audio signal may be received from the second device. As a result, the gesture may be identified based on the motion data and the received first audio signal. In some cases, a first token encoded within the first audio signal may be decoded and the first token may be provided to a third coordinating device. A confirmation message may be received from the third coordinating device based on the first token provided and identifying the gesture may be further based on the confirmation message.

    Abstract translation: 本公开提供了一种用于通过使用超声波多普勒的装置改进基于IMU的手势检测的技术。 一种方法可以包括基于从第一设备的IMU获得的运动数据来检测在第一设备处的手势的开始。 可以向第二设备提供对手势开始的检测的指示。 接下来，可以从第二设备接收第一音频信号。 结果，可以基于运动数据和接收到的第一音频信号来识别手势。 在一些情况下，可以解码在第一音频信号内编码的第一令牌，并且可以将第一令牌提供给第三协调装置。 可以基于提供的第一令牌从第三协调设备接收确认消息，并且可以基于确认消息进一步识别手势。

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