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公开(公告)号：US20120158499A1
公开(公告)日：2012-06-21
申请号：US13164340
申请日：2011-06-20
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0254
摘要： In one implementation, a computer-implemented method includes receiving, at a server system, a request for an advertisement to provide to a first user of a social network, and determining, for each of a plurality of advertisements, a probability that the first user will select the advertisement based, at least in part, on previous propagations of the advertisement by one or more second users of the social network. The method can further include scoring, by the server system, the plurality of advertisements based upon the determined probabilities of selection by the first user and bids associated with the plurality of advertisements, and providing one or more of the plurality of advertisements for presentation to the first user based upon the scoring of the plurality of advertisements.
摘要翻译： 在一个实现中，计算机实现的方法包括在服务器系统处接收对广告的请求以提供给社交网络的第一用户，并且针对多个广告中的每一个确定第一用户的概率 将至少部分地基于社交网络的一个或多个第二用户的广告的先前传播来选择广告。 该方法还可以包括基于所确定的第一用户的选择概率和与多个广告相关联的出价，由服务器系统对多个广告进行评分，以及提供多个广告中的一个或多个以呈现给 基于多个广告的评分的第一用户。
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公开(公告)号：US20120226564A1
公开(公告)日：2012-09-06
申请号：US13471791
申请日：2012-05-15
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0254
摘要： In one implementation, a computer-implemented method includes receiving, at a server system, a request for an advertisement to provide to a first user of a social network, and determining, for each of a plurality of advertisements, a probability that the first user will select the advertisement based, at least in part, on previous propagations of the advertisement by one or more second users of the social network. The method can further include scoring, by the server system, the plurality of advertisements based upon the determined probabilities of selection by the first user and bids associated with the plurality of advertisements, and providing one or more of the plurality of advertisements for presentation to the first user based upon the scoring of the plurality of advertisements.
摘要翻译： 在一个实现中，计算机实现的方法包括在服务器系统处接收对广告的请求以提供给社交网络的第一用户，并且针对多个广告中的每一个确定第一用户的概率 将至少部分地基于社交网络的一个或多个第二用户的广告的先前传播来选择广告。 该方法还可以包括基于所确定的第一用户的选择概率和与多个广告相关联的出价，由服务器系统对多个广告进行评分，以及提供多个广告中的一个或多个以呈现给 基于多个广告的评分的第一用户。
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3.发明申请VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS 有权视频内容分析用于自动人脸识别用户和视频公开(公告)号：US20120272259A1
公开(公告)日：2012-10-25
申请号：US13488126
申请日：2012-06-04
申请人： Corinna Cortes , Sanjiv Kumar , Ameesh Makadia , Gideon Mann , Jay Yagnik , Ming Zhao
发明人： Corinna Cortes , Sanjiv Kumar , Ameesh Makadia , Gideon Mann , Jay Yagnik , Ming Zhao
IPC分类号： H04N21/24
CPC分类号： H04N21/2407 , G06F17/30784 , G06F17/30817 , G06F17/3082 , G06F17/30828 , G06K9/00711 , H04N21/23418 , H04N21/25883 , H04N21/4668 , H04N21/4826
摘要： A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
摘要翻译： 视频人口统计分析系统选择用于将观众人口特征和视频内容数据相关联的一组视频。 视频人口统计分析系统从与训练集中的视频相关的观众简档中提取人口统计学数据，并创建一组人口分布，并从训练集中的视频中提取视频数据。 视频人口统计分析系统将观众人口统计学与观众观看的视频的视频数据相关联。 使用机器学习过程产生的预测模型，可以将预测的人口分布与预测的人口分布相关联，所述预测人口统计分布规定了给定人口统计学类别中的不同类型的人的视频的概率，例如人 在不同年龄的人口统计学类别。
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公开(公告)号：US09116945B1
公开(公告)日：2015-08-25
申请号：US13488148
申请日：2012-06-04
IPC分类号： G06F17/30
CPC分类号： G06F17/30386 , G06F17/3053 , G06F17/30864 , Y10S707/944
摘要： A statistical model may be created that relates human ratings of documents to objective signals generated from the documents, search queries, and/or other information (e.g., query logs). The model can then be used to predict human ratings/rankings for new documents/search query pairs. These predicted ratings can be used to, for example, refine rankings from a search engine or assist in evaluating or monitoring the efficacy of a search engine system.
摘要翻译： 可以创建将文档的人类等级与从文档，搜索查询和/或其他信息（例如，查询日志）生成的客观信号相关联的统计模型。 然后，该模型可用于预测新文档/搜索查询对的人类评级/排名。 这些预测的等级可用于例如从搜索引擎改进排名或协助评估或监视搜索引擎系统的功效。
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公开(公告)号：US08442984B1
公开(公告)日：2013-05-14
申请号：US12059352
申请日：2008-03-31
IPC分类号： G06F7/00
CPC分类号： G06Q10/0639 , G06Q30/0203
摘要： Systems and methods relating to website quality rating are disclosed. Websites are rated, relationships between ratings and website signals are identified, models are generated and modeled ratings are assigned to unrated websites by applying the models to the website signals of the unrated websites.
摘要翻译： 披露与网站质量等级相关的系统和方法。 评估网站，评估评级和网站信号之间的关系，通过将模型应用于未分级网站的网站信号，生成模型并将模型评级分配给未分级网站。
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公开(公告)号：US08195654B1
公开(公告)日：2012-06-05
申请号：US11160872
申请日：2005-07-13
IPC分类号： G06F7/00
CPC分类号： G06F17/30386 , G06F17/3053 , G06F17/30864 , Y10S707/944
摘要： A statistical model may be created that relates human ratings of documents to objective signals generated from the documents, search queries, and/or other information (e.g., query logs). The model can then be used to predict human ratings/rankings for new documents/search query pairs. These predicted ratings can be used to, for example, refine rankings from a search engine or assist in evaluating or monitoring the efficacy of a search engine system.
摘要翻译： 可以创建将文档的人类等级与从文档，搜索查询和/或其他信息（例如，查询日志）生成的客观信号相关联的统计模型。 然后，该模型可用于预测新文档/搜索查询对的人类评级/排名。 这些预测的等级可用于例如从搜索引擎改进排名或协助评估或监视搜索引擎系统的功效。
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7.发明申请VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS 审中-公开视频内容分析用于自动人脸识别用户和视频公开(公告)号：US20100191689A1
公开(公告)日：2010-07-29
申请号：US12392987
申请日：2009-02-25
申请人： Corinna Cortes , Sanjiv Kumar , Ameesh Makadia , Gideon Mann , Jay Yagnik , Ming Zhao
发明人： Corinna Cortes , Sanjiv Kumar , Ameesh Makadia , Gideon Mann , Jay Yagnik , Ming Zhao
CPC分类号： H04N21/2407 , G06F16/735 , G06F16/78 , G06F16/783 , G06F16/7867 , G06K9/00711 , H04N21/23418 , H04N21/25883 , H04N21/4668 , H04N21/4826
摘要： A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
摘要翻译： 视频人口统计分析系统选择用于将观众人口特征和视频内容数据相关联的一组视频。 视频人口统计分析系统从与训练集中的视频相关的观众简档中提取人口统计学数据，并创建一组人口分布，并从训练集中的视频中提取视频数据。 视频人口统计分析系统将观众人口统计学与观众观看的视频的视频数据相关联。 使用机器学习过程产生的预测模型，可以将预测的人口分布与预测的人口分布相关联，所述预测人口统计分布规定了给定人口统计学类别中的不同类型的人的视频的概率，例如人 在不同年龄的人口统计学类别。
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公开(公告)号：US06539391B1
公开(公告)日：2003-03-25
申请号：US09373823
申请日：1999-08-13
申请人： William H. DuMouchel , Christopher T. Volinsky , Theodore J. Johnson , Corinna Cortes , Daryl Pregibon
发明人： William H. DuMouchel , Christopher T. Volinsky , Theodore J. Johnson , Corinna Cortes , Daryl Pregibon
IPC分类号： G06F1730
CPC分类号： G06F17/3061 , Y10S707/99932 , Y10S707/99942 , Y10S707/99943
摘要： Apparatus and method for summarizing an original large data set with a representative data set. The data elements in both the original data set and the representative data set have the same variables, but there are significantly fewer data elements in the representative data set. Each data element in the representative data set has an associated weight, representing the degree of compression. There are three steps for constructing the representative data set. First, the original data elements are partitioned into separate bins. Second, moments of the data elements partitioned in each bin are calculated. Finally, the representative data set is generated by finding data elements and associated weights having substantially the same moments as the original data set.
摘要翻译： 用于总结具有代表性数据集的原始大数据集的装置和方法。 原始数据集和代表性数据集中的数据元素具有相同的变量，但代表数据集中的数据元素显着减少。 代表数据集中的每个数据元素具有相关联的权重，表示压缩程度。 构建代表性数据集有三个步骤。 首先，将原始数据元素分割成单独的分区。 第二，计算每个仓中划分数据元素的时刻。 最后，通过查找具有与原始数据集基本上相同的时刻的数据元素和相关权重来生成代表数据集。
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9.发明授权公开(公告)号：US06480844B1
公开(公告)日：2002-11-12
申请号：US09276448
申请日：1999-03-25
申请人： Corinna Cortes , Daryl Pregibon
发明人： Corinna Cortes , Daryl Pregibon
IPC分类号： G06F1730
CPC分类号： G06F17/30539 , Y10S707/99935
摘要： A method provides for mining information from large volumes of data regarding transactions. The method provides for inferring a behavioral characteristic of a party to the transaction based on a large volume of data concerning a multitude of parties. That inferred characteristic may be dynamic in nature.
摘要翻译： 一种方法提供从关于交易的大量数据挖掘信息。 该方法提供了基于关于众多方的大量数据来推断交易的一方的行为特征。 这种推断的特征本质上可能是动态的。
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10.发明授权Method and apparatus for determining the accuracy limit of a learning machine for predicting path performance degradation in a communications network 失效用于确定用于预测通信网络中的路径性能劣化的学习机的精度极限的方法和装置
公开(公告)号：US5720003A
公开(公告)日：1998-02-17
申请号：US390183
申请日：1995-02-17
CPC分类号： G06N99/005 , H04L41/0681 , H04L41/147 , H04L41/16 , H04L41/5012 , H04L43/0823 , H04L41/5003 , H04L43/16 , Y10S706/917
摘要： A method and apparatus for determining the accuracy limit of a learning machine for predicting path performance degradation imposed by the quality of the path performance data is disclosed. A plurality of learning machines of increasing capacity are trained using training data and tested using test data, and the training error rates and test error rates are calculated. The asymptotic error rates of the learning machines are calculated and compared. When the change in asymptotic error rate falls below a certain rate, the asymptotic error rate estimates the accuracy limit for a learning machine for predicting path performance degradation. The accuracy limit is derived from insufficiencies in the path performance data and is applicable to any learning machine trained on and applied to the path performance data, regardless of the complexity of the learning machine or the size of the training data set.
摘要翻译： 公开了一种用于确定用于预测由路径性能数据的质量施加的路径性能退化的学习机的精度极限的方法和装置。 使用培训数据训练多个增加能力的学习机，并使用测试数据进行测试，并计算训练误差率和测试误差率。 计算和比较学习机的渐近误差率。 当渐近错误率的变化下降到一定速率以下时，渐近误差率估计学习机预测路径性能下降的精度极限。 精度限制来源于路径性能数据的不足，并且适用于训练和应用于路径性能数据的任何学习机，无论学习机的复杂性还是训练数据集的大小。
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