公开(公告)号：US08917823B1

公开(公告)日：2014-12-23

申请号：US13116852

申请日：2011-05-26

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

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

IPC分类号： H04M1/64

CPC分类号： H04M3/5166 ,  H04M1/72519 ,  H04M3/4938

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium for transcribing information. A method includes: identifying a telephone number that once dialed has an associated message that is played or includes a response system; transcribing the message or information about the response system; storing the transcribed message or information in association with the telephone number in database; receiving a request from a user that includes the telephone number; and providing information about the transcribed information to the user.

摘要翻译： 方法，系统和装置，包括编码在用于转录信息的计算机可读存储介质上的计算机程序。 一种方法包括：识别一次拨打的电话号码具有播放的相关联的消息或包括响应系统; 转录有关响应系统的消息或信息; 将转录的消息或信息与电话号码相关联地存储在数据库中; 从用户接收包括电话号码的请求; 并向用户提供关于转录信息的信息。

公开(公告)号：US08909630B1

公开(公告)日：2014-12-09

申请号：US13116572

申请日：2011-05-26

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/30637 ,  G06F17/3087

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including a method that comprises: determining excess queries for a target geographic feature, where the geographic feature defines a location; determining one or more candidate geographic features that have similar excess queries, but displaced in time; determining a time offset between the target geographic feature and a candidate geographic feature based on the displacement in time of the similar excess queries; and targeting content to the candidate geographic feature using the time offset and based on content targeted to the target geographic feature.

摘要翻译： 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，包括方法，其包括：确定目标地理特征的多余查询，其中地理特征定义位置; 确定一个或多个候选地理特征具有相似的过多查询，但在时间上移位; 基于类似的多余查询的时间位移来确定目标地理特征与候选地理特征之间的时间偏移; 并使用时间偏移并基于针对目标地理特征的内容来将内容定向到候选地理特征。

公开(公告)号：US08745074B1

公开(公告)日：2014-06-03

申请号：US13619467

申请日：2012-09-14

申请人： Michele Covell ,  Shumeet Baluja ,  Josh Sacks ,  Yuchen Wu

发明人： Michele Covell ,  Shumeet Baluja ,  Josh Sacks ,  Yuchen Wu

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30867

摘要： Systems and methods of evaluating information via a computer network are provided. A content group can be identified, and each item of the content group can be associated with a vector indicating at least one user interest category of users exposed to the item. The vectors of each item can be evaluated to generate a first nearest neighbor list of each item of the content group. The nearest neighbor list of a first item can be compared with the nearest neighbor list of a second item. Based on a result of the comparison, the first and second items can be associated in a cluster.

摘要翻译： 提供了通过计算机网络评估信息的系统和方法。 可以识别内容组，并且内容组的每个项目可以与指示暴露给该项目的用户的至少一个用户感兴趣类别的向量相关联。 可以评估每个项目的向量以生成内容组的每个项目的第一最近邻居列表。 可以将第一项目的最近邻居列表与第二项目的最近邻居列表进行比较。 基于比较的结果，第一和第二项可以在集群中相关联。

公开(公告)号：US08712930B1

公开(公告)日：2014-04-29

申请号：US13100872

申请日：2011-05-04

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

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

IPC分类号： G06F15/18

CPC分类号： G06K9/6202 ,  G06F17/30247 ,  G06K9/00684 ,  G06K9/4604 ,  G06K9/6267 ,  G06K9/6292 ,  G06K9/66 ,  G06T1/0021 ,  H04N19/105 ,  H04N19/17 ,  H04N19/189

摘要： An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The exemplar dictionary is used to encode digital content. Clusters of exemplars are obtained by applying a prediction model to a target block of digital content for encoding. A predictor block is selected for encoding the target block based on frequency of occurrence of exemplars in the clusters. The target block is encoded using the predictor block.

摘要翻译： 由数字内容的示例构建示范字典，用于确定用于对数字内容进行编码和解码的预测器块。 示范字典将样本组织成类似样本的集群。 每个集群映射到一个标签。 机器学习技术用于生成用于预测样本的标签的预测模型。 示范字典用于对数字内容进行编码。 通过将预测模型应用于用于编码的数字内容的目标块来获得样本簇。 基于群集中的样本的出现频率，选择预测块来对目标块进行编码。 使用预测器块对目标块进行编码。

公开(公告)号：US08583579B1

公开(公告)日：2013-11-12

申请号：US13153094

申请日：2011-06-03

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

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

IPC分类号： G06F17/00 ,  G06F7/00 ,  G06F3/00 ,  G06Q10/00 ,  G06N99/00 ,  G06Q30/02 ,  G06F17/30 ,  G06F9/44

CPC分类号： G06Q30/0251 ,  G06F9/4411 ,  G06F17/30864 ,  G06F17/30867 ,  G06N99/005 ,  G06Q30/02

摘要： Methods, systems, and computer program products, including computer programs encoded on a computer readable storage medium, for providing content to a user based on the mode of the user. A method includes: identifying a user for targeting content; evaluating usage information for the user to determine targeting information for a plurality of modes associated with the user; receiving a request to deliver content to the user including an identifier associated with the user and information to determine which mode of the plurality of modes the user is operating in; and providing content to the user based on the mode and associated targeting information.

摘要翻译： 方法，系统和计算机程序产品，包括在计算机可读存储介质上编码的计算机程序，用于基于用户的模式向用户提供内容。 一种方法包括：识别用于定位内容的用户; 评估所述用户的使用信息以确定与所述用户相关联的多个模式的定向信息; 接收向用户传送内容的请求，包括与用户相关联的标识符和信息，以确定用户正在操作的多种模式的哪种模式; 以及基于模式和相关联的目标信息向用户提供内容。

公开(公告)号：US08566331B1

公开(公告)日：2013-10-22

申请号：US13532221

申请日：2012-06-25

申请人： Michele Covell ,  Yushi Jing ,  Jingbin Wang ,  Charles J. Rosenberg ,  Sarah Moussa

发明人： Michele Covell ,  Yushi Jing ,  Jingbin Wang ,  Charles J. Rosenberg ,  Sarah Moussa

IPC分类号： G06F17/30

CPC分类号： G06F17/30247 ,  G06F17/30265 ,  G06F17/30864

摘要： Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

摘要翻译： 公开了用于对图像排序的方法，系统和装置，包括计算机程序产品。 图像搜索子系统生成表示相对于搜索查询的图像的质量度量的调整因子。 质量表示图像与查询的相关性。 调整因子可以基于图像与查询的相关性数据计算，图像相似度数据表示图像和与查询相关的其他图像之间的相对相似度。 相关数据可以基于响应于图像被包括在查询的搜索结果中的用户动作。 可以基于相关性数据和图像相似性数据是否都指示图像与搜索查询相关来来调整调整因子。 基于调整因子（例如，调整因子和相关性得分的乘积）来计算相关性得分。

公开(公告)号：US08484198B1

公开(公告)日：2013-07-09

申请号：US13116999

申请日：2011-05-26

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/30477 ,  G06F17/3087

摘要： Methods, systems, and computer program products are provided for mapping keywords to geographic features. One example method includes identifying location keywords for each of a multitude of granular locations, determining a feature size for grouping granular locations over an area of interest, determining geo data for one or more features, locating all granular locations which are associated with a given feature using the geo data and forming a set of granular locations per feature, aggregating the location keywords for each granular location in a set forming a keyword mapping for the given feature, receiving an indication of a geographic location that is proximate to a user or is of interest to the user, determining a geographic feature associated with the geographic location, and targeting content for delivery to the user based at least in part on the keyword mapping.

摘要翻译： 提供了方法，系统和计算机程序产品，用于将关键字映射到地理特征。 一个示例性方法包括识别多个粒度位置中的每一个的位置关键词，确定用于在感兴趣区域上分组粒度位置的特征尺寸，确定一个或多个特征的地理数据，定位与给定特征相关联的所有粒度位置 使用地理数据并且形成每个特征的一组细粒度位置，对形成用于给定特征的关键字映射的集合中的每个粒度位置聚合位置关键字，接收与用户邻近的地理位置的指示， 对用户的兴趣，确定与地理位置相关联的地理特征，以及至少部分地基于关键字映射来定位用于递送给用户的内容。

公开(公告)号：US08447032B1

公开(公告)日：2013-05-21

申请号：US12042138

申请日：2008-03-04

申请人： Michele Covell ,  Sergey Ioffe ,  Shumeet Baluja

发明人： Michele Covell ,  Sergey Ioffe ,  Shumeet Baluja

IPC分类号： H04L9/00

CPC分类号： G06F17/30949

摘要： A computer-implemented method is disclosed for generating a signature representing an input bit vector. A signature generator generates a primary min-hash value based on a primary permutation from a sequence of permutation blocks. If the primary min-hash value is lower than a threshold value, a secondary min-hash value is generated based on a secondary permutation from the same permutation block. The signature generator then determines one or more signature values based on the primary min-hash value, the secondary min-hash value or both. The one or more signature values are stored as elements of the signature.

摘要翻译： 公开了一种用于生成表示输入比特向量的签名的计算机实现的方法。 签名生成器基于来自排列块序列的主置换生成主最小哈希值。 如果主要最小哈希值低于阈值，则基于来自相同置换块的二次置换生成二次最小哈希值。 签名生成器然后基于主要最小哈希值，二次最小哈希值或两者来确定一个或多个签名值。 一个或多个签名值被存储为签名的元素。

公开(公告)号：US08411977B1

公开(公告)日：2013-04-02

申请号：US11468265

申请日：2006-08-29

申请人： Shumeet Baluja ,  Michele Covell

发明人： Shumeet Baluja ,  Michele Covell

IPC分类号： G06K9/46 ,  G10L11/00

CPC分类号： G10L19/02 ,  G06F17/30743 ,  G06K9/00523 ,  G06K9/527

摘要： A method is described that includes producing an audio spectrogram from a target sample, generating a number of fingerprints based on the audio spectrogram, comparing the series of fingerprints to samples in a data repository using wavelet coefficients, and identifying the target sample based on the matches found in the data repository.

公开(公告)号：US08315465B1

公开(公告)日：2012-11-20

申请号：US12651128

申请日：2009-12-31

申请人： Shumeet Baluja ,  Michele Covell

发明人： Shumeet Baluja ,  Michele Covell

IPC分类号： G06K9/62

CPC分类号： G06K9/6257 ,  G06K9/00456

摘要： In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A plurality of electronic training images that are each classified as displaying substantially pictures is obtained. A plurality of local image features in each of the plurality of electronic training images is identified. A plurality of weak classifiers are recursively applied to the local image features. During each iteration a weak classifier that accurately classifies the local images features is selected. After each selection of a weak classifier features that were misclassified by the selected weak classifier are given greater weight than features that were classified correctly by the selected weak classifier. For each selected weak classifier a hillclimbing algorithm is performed to attempt to improve the weak classifier. A strong classifier that is a weighted combination of the selected weak classifiers on which hillclimbing algorithms have been performed is produced.

摘要翻译： 通常，本说明书中描述的主题可以体现在方法，系统和程序产品中。 获得被分类为基本上显示图像的多个电子训练图像。 识别多个电子训练图像中的每一个中的多个局部图像特征。 多个弱分类器递归地应用于局部图像特征。 在每次迭代期间，选择精确分类局部图像特征的弱分类器。 在选择的弱分类器被错误分类的弱分类器特征的每个选择之后，被赋予比选择的弱分类器正确分类的特征更大的权重。 对于每个选定的弱分类器，执行山坡计算以尝试改进弱分类器。 一种强分类器，它是已经执行了山地爬坡算法的所选弱分类器的加权组合。