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    Finding similar cities using geo-related queries
    52.
    发明授权
    Finding similar cities using geo-related queries 有权
    使用地理相关查询查找类似城市

    公开(公告)号：US09135271B1

    公开(公告)日：2015-09-15

    申请号：US13959597

    申请日：2013-08-05

    Applicant: Google Inc.

    Inventor： Rohan Seth ,  Joshua J. Sacks ,  Michele Covell ,  Michael Chu ,  Shumeet Baluja ,  David Marwood

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30241 ,  G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for providing a method that comprises: determining excess queries over multiple time periods for a given geographic feature, where the geographic feature defines a location; comparing geographic features for similarity based at least in part on the excess queries associated with a respective geographic feature; and for a given target geographic feature, determining one or more similar geographic features based on the comparing.

    Abstract translation: 方法，系统和装置，包括在计算机可读存储介质上编码的计算机程序，用于提供一种方法，该方法包括：确定给定地理特征的多个时间段的超量查询，其中所述地理特征定义位置; 至少部分地基于与相应地理特征相关联的多余查询来比较相似性的地理特征; 并且对于给定的目标地理特征，基于所述比较来确定一个或多个相似的地理特征。

    Mapping keywords to geographic features
    54.
    发明授权
    Mapping keywords to geographic features 有权
    将关键字映射到地理位置

    公开(公告)号：US08914357B1

    公开(公告)日：2014-12-16

    申请号：US13913340

    申请日：2013-06-07

    Applicant: Google Inc.

    Inventor： Rohan Seth ,  Joshua J. Sacks ,  Michele Covell ,  Michael Chu ,  Shumeet Baluja ,  David Marwood

    IPC: G06F17/30

    CPC classification number: G06F17/30477 ,  G06F17/3087

    Abstract: Systems and methods are provided for mapping keywords to geographic features. In some aspects, a method includes identifying location keywords associated with granular locations and identifying geographic features associated with an area of interest that includes the granular locations. For each geographic feature, the method includes determining geo data for the geographic feature, forming a set of granular locations that is associated with the geographic feature using the determined geo data, and aggregating a set of location keywords from the identified location keywords. The set of location keywords is associated with the set of granular locations to form a keyword mapping for the geographic feature. The method includes receiving an indication of a geographic location associated with a user, determining a first geographic feature that includes the geographic location, and targeting content for delivery to the user using a corresponding keyword mapping for the determined first geographic feature.

    Abstract translation: 提供了将关键字映射到地理特征的系统和方法。 在一些方面，一种方法包括识别与粒度位置相关联的位置关键字，并且识别与包括粒状位置的感兴趣区域相关联的地理特征。 对于每个地理特征，所述方法包括确定所述地理特征的地理数据，使用所确定的地理数据形成与所述地理特征相关联的一组细粒度位置，以及从所识别的位置关键词聚集一组位置关键词。 位置关键字集合与粒度位置集合相关联，以形成地理要素的关键字映射。 所述方法包括：接收与用户相关联的地理位置的指示，确定包括所述地理位置的第一地理特征，以及使用针对所确定的第一地理特征的相应关键字映射来定位用于传递给所述用户的内容。

    Predictive Information Retrieval
    55.
    发明申请
    Predictive Information Retrieval 有权
    预测信息检索

    公开(公告)号：US20140258263A1

    公开(公告)日：2014-09-11

    申请号：US14281994

    申请日：2014-05-20

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Henry Allan Rowley

    IPC: G06F17/30

    CPC classification number: G06F17/30554 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30882

    Abstract: A computer-implemented method for generating results for a client-requested query involves receiving a query produced by a client communication device, generating a result for the query in response to reception of the query, determining one or more predictive follow-up requests before receiving an actual follow-up request from the client device, and initiating retrieval of information associated with the one or more predictive follow-up requests, and transmitting at least part of the result to the client device, and then transmitting to the client device at least part of the information associated with the one or more predictive follow-up requests.

    Abstract translation: 用于生成客户端请求的查询的结果的计算机实现的方法涉及接收由客户端通信设备产生的查询，响应于接收查询而产生用于查询的结果，在接收之前确定一个或多个预测性后续请求 来自客户端设备的实际后续请求，以及启动与所述一个或多个预测性后续请求相关联的信息的检索，以及将所述结果的至少一部分发送到所述客户端设备，然后至少向所述客户端设备发送 与一个或多个预测性跟踪请求相关联的信息的一部分。

    Image compression using exemplar dictionary based on hierarchical clustering
    56.
    发明授权
    Image compression using exemplar dictionary based on hierarchical clustering 有权
    使用基于层次聚类的示范字典的图像压缩

    公开(公告)号：US08787692B1

    公开(公告)日：2014-07-22

    申请号：US13946965

    申请日：2013-07-19

    Applicant: Google Inc.

    Inventor： Mei Han ,  Michele Covell ,  Saurabh Mathur ,  Shumeet Baluja ,  Vivek Kwatra

    IPC: G06K9/36

    CPC classification number: G06K9/6219 ,  G06K9/6807 ,  H04N19/30 ,  H04N19/90

    Abstract: An exemplar dictionary is built from example image blocks for determining predictor blocks for encoding and decoding images. The exemplar dictionary comprises a hierarchical organization of example image blocks. The hierarchical organization of image blocks is obtained by clustering a set of example image blocks, for example, based on k-means clustering. Performance of clustering is improved by transforming feature vectors representing the image blocks to fewer dimensions. Principal component analysis is used for determining feature vectors with fewer dimensions. The clustering performed at higher levels of the hierarchy uses fewer dimensions of feature vectors compared to lower levels of hierarchy. Performance of clustering is improved by processing only a sample of the image blocks of a cluster. The clustering performed at higher levels of the hierarchy uses lower sampling rates as compared to lower levels of hierarchy.

    Abstract translation: 从用于确定用于对图像进行编码和解码的预测器块的示例图像块构建示范字典。 示例性字典包括示例图像块的分级组织。 通过例如基于k均值聚类来聚类一组示例图像块来获得图像块的分级组织。 通过将表示图像块的特征向量变换为较少的维度来提高聚类的性能。 主成分分析用于确定尺寸较小的特征向量。 在层次较高的层次上执行的聚类与较低级别的层次相比，使用较少的特征向量维度。 通过仅处理集群的图像块的样本来提高聚类的性能。 与较低级别的层次相比，在较高层次上执行的聚类使用较低的采样率。

    Selection of an image or images most representative of a set of images
    57.
    发明授权
    Selection of an image or images most representative of a set of images 有权
    选择最具代表一组图像的图像或图像

    公开(公告)号：US08744191B1

    公开(公告)日：2014-06-03

    申请号：US13953167

    申请日：2013-07-29

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Yushi Jing

    IPC: G06K9/46 ,  G06K9/54 ,  G06F7/00

    CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30864 ,  G06F17/30876

    Abstract: Implementations consistent with the principles described herein relate to ranking a set of images based on features of the images determine the most representative and/or highest quality images in the set. In one implementation, an initial set of images is obtained and ranked based on a comparison of each image in the set of images to other images in the set of images. The comparison is performed using at least one predetermined feature of the images.

    Abstract translation: 与本文描述的原理一致的实现涉及基于图像的特征对图像集进行排序，从而确定集合中最具代表性和/或最高质量的图像。 在一个实现中，基于图像集合中的每个图像与该组图像中的其他图像的比较，获得初始图像集并进行排名。 使用图像的至少一个预定特征来执行比较。

    Transportation routing
    58.
    发明授权
    Transportation routing 有权
    交通路线

    公开(公告)号：US08606514B2

    公开(公告)日：2013-12-10

    申请号：US13868989

    申请日：2013-04-23

    Applicant: Google Inc.

    Inventor： Henry A. Rowley ,  Shumeet Baluja

    IPC: G01C21/36

    CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

    Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

    Abstract translation: 提供个性化路线信息的计算机实现方法包括随着时间的推移为无线客户端设备收集多个过去的位置指示符，使用多个先前收集的位置指示符确定未来的驾驶目标，获得区域的实时交通数据 靠近所确定的驾驶目标，并且使用近实时话务数据生成用于驾驶目标的建议路线。

    Automatic Language Model Update
    59.
    发明申请
    Automatic Language Model Update 有权

    公开(公告)号：US20130246065A1

    公开(公告)日：2013-09-19

    申请号：US13888770

    申请日：2013-05-07

    Applicant: Google Inc.

    Inventor： Michael H. Cohen ,  Shumeet Baluja ,  Pedro J. Moreno

    IPC: G10L15/06

    CPC classification number: G10L15/065 ,  G10L15/06 ,  G10L15/063 ,  G10L15/187 ,  G10L15/26 ,  G10L2015/0635

    Abstract: A method for generating a speech recognition model includes accessing a baseline speech recognition model, obtaining information related to recent language usage from search queries, and modifying the speech recognition model to revise probabilities of a portion of a sound occurrence based on the information. The portion of a sound may include a word. Also, a method for generating a speech recognition model, includes receiving at a search engine from a remote device an audio recording and a transcript that substantially represents at least a portion of the audio recording, synchronizing the transcript with the audio recording, extracting one or more letters from the transcript and extracting the associated pronunciation of the one or more letters from the audio recording, and generating a dictionary entry in a pronunciation dictionary.

    CONTENT ITEM DISTRIBUTION BASED ON USER INTERACTIONS
    60.
    发明申请
    CONTENT ITEM DISTRIBUTION BASED ON USER INTERACTIONS 审中-公开

    公开(公告)号：US20190279289A1

    公开(公告)日：2019-09-12

    申请号：US15346907

    申请日：2016-11-09

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Joshua J. Sacks ,  Michael Chu ,  Zhengrong Ji ,  Michele Covell

    IPC: G06Q30/08 ,  H04L12/26

    Abstract: Methods, systems, and apparatus for content item distribution based on user interactions. In one aspect, a method includes identifying a set of conversion events associated with a content item provider, each conversion event having a corresponding device identifier; identifying, for each conversion event, a number of pre-conversion interactions that i) occurred prior to the conversion event, and ii) are associated with a device identifier that corresponds to the conversion event; generating, for the content item provider, a conversion profile specifying a portion of the conversion events that are associated with different pre-conversion interaction values; and generating, based on the conversion profile, a bid profile specifying different bid values for different pre-conversion interaction values, a difference between the different bid values being based on a difference between the portion of the conversion events that are associated with the different pre-conversion interaction values corresponding to the different bid values.

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