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31. 发明申请

US20060059044A1 Method and system to provide advertisements based on wireless access points 审中-公开
标题翻译：基于无线接入点提供广告的方法和系统
公开(公告)号：US20060059044A1
公开(公告)日：2006-03-16
申请号：US10941431
申请日：2004-09-14
申请人： Wesley Chan , Shioupyn Shen , Georges Harik
发明人： Wesley Chan , Shioupyn Shen , Georges Harik
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0267 , H04L67/04 , H04L67/18 , H04L67/306 , H04L69/329
摘要： Methods and system to provide advertisements in a view of an end user accessing a wireless access point. The advertisements are related to the WAP based on a predetermined criterion.
摘要翻译：在最终用户访问无线接入点的视图中提供广告的方法和系统。该广告基于预定标准与WAP相关。

32. 发明申请

US20050228797A1 Suggesting and/or providing targeting criteria for advertisements 有权
标题翻译：建议和/或提供广告的定位标准
公开(公告)号：US20050228797A1
公开(公告)日：2005-10-13
申请号：US10750451
申请日：2003-12-31
申请人： Ross Koningstein , Valentin Spitkovsky , Georges Harik , Noam Shazeer
发明人： Ross Koningstein , Valentin Spitkovsky , Georges Harik , Noam Shazeer
IPC分类号： G06F17/00
CPC分类号： G06Q30/0251 , G06F17/30619 , G06F17/3064 , G06F17/30675 , G06F17/3071 , G06F17/30752 , G06Q30/02 , G06Q30/0201
摘要： Keyword suggestions that are category-aware (and field-proven) may be used to help advertisers better target the serving of their ads, and may reduce unused ad spot inventory. The advertiser can enter ad information, such as a creative, a landing Webpage, other keywords, etc. for example. A keyword facility may use this entered ad information as seed information to infer one or more categories. It may then request that the advertiser confirm or deny some basic feedback information (e.g., categories, Webpage information, etc.). For example, an advertiser may be provided with candidate categories and may be asked to confirm (e.g., using checkboxes) which of the categories are relevant to their ad. Keywords may be determined using at least the categories. The determined keywords may be provided to the advertiser as suggested keywords, or may automatically populate ad serving constraint information as targeting keywords. The ad server system can run a trial on the determined keywords to qualify or disqualify them as targeting keyword.
摘要翻译：类别感知（经实地验证）的关键字建议可用于帮助广告客户更好地定位广告投放，并可能减少未使用的广告现货库存。广告客户可以输入广告信息，例如广告素材，着陆页面，其他关键字等。关键字设施可以使用该输入的广告信息作为种子信息来推断一个或多个类别。然后，它可以请求广告商确认或拒绝一些基本反馈信息（例如，类别，网页信息等）。例如，可以向广告商提供候选类别，并且可以要求其确认（例如，使用复选框）哪些类别与他们的广告相关。可以使用至少类别来确定关键字。所确定的关键字可以作为建议的关键字提供给广告商，或者可以自动地将广告投放约束信息填充为定位关键字。广告服务器系统可以对确定的关键字进行试用，以使其符合资格或取消资格作为定位关键字。

33. 发明授权

US09536206B2 Method and apparatus for improving resilience in customized program learning network computational environments 有权
标题翻译：用于提高定制程序学习网络计算环境中弹性的方法和装置
公开(公告)号：US09536206B2
公开(公告)日：2017-01-03
申请号：US13921124
申请日：2013-06-18
申请人： Georges Harik , PageBites, Inc.
发明人： Georges Harik
IPC分类号： G06N5/00 , G06N99/00 , G06N3/08
CPC分类号： G06N99/005 , G06N3/08
摘要： An apparatus and a method are provided for learning a program with a large number of parameters. In one embodiment, a method not only distorts the input values, but also distorts some of the parameters in the program model. Such an approach not only forces the learned program to acquire parameter values to predict missing or desired data, but also to correct errors in the input data and the program parameters themselves, thereby rendering the learned program more resilient to overfitting and falling into local optima.
摘要翻译：提供了一种用于学习具有大量参数的程序的装置和方法。在一个实施例中，一种方法不仅会扭曲输入值，而且会扭曲程序模型中的一些参数。这种方法不仅强制学习的程序获取参数值来预测丢失或期望的数据，而且还要纠正输入数据和程序参数本身中的错误，从而使学习的程序更适合过度拟合并落入局部最优。

34. 发明授权

US09166806B2 Shared communication space invitations 有权
标题翻译：共享通信空间邀请
公开(公告)号：US09166806B2
公开(公告)日：2015-10-20
申请号：US13071210
申请日：2011-03-24
申请人： Jeffrey Dean , Georges Harik , Obeka Tallis Brown Bakin
发明人： Jeffrey Dean , Georges Harik , Obeka Tallis Brown Bakin
IPC分类号： G06F17/30 , H04L12/18
CPC分类号： H04L12/1818 , G06F17/30699 , G06F17/30702 , G06F17/30867 , Y10S707/99933 , Y10S707/99939
摘要： A computer-implemented method of providing invitations to a shared communication space, performed by a server system, includes providing the shared communication space, which includes content associated with a set of characteristics, and identifying a user, in accordance with a set of characteristics associated with the user and the set of characteristics associated with the content in the shared communication space. The method further includes sending to the identified user a invitation to participate in the shared communication space, and upon acceptance of the invitation by the user, enabling access by the user to the shared communication space by the user and enabling the user to exchange information with other participants in the shared communication space via the shared communication space.
摘要翻译：由服务器系统执行的向共享通信空间提供邀请的计算机实现的方法包括提供共享通信空间，所述共享通信空间包括与一组特征相关联的内容，以及根据相关联的一组特征来标识用户用户和与共享通信空间中的内容相关联的特征集合。该方法还包括向所识别的用户发送参与共享通信空间的邀请，并且在用户接受邀请之后，使得用户能够由用户访问共享通信空间并且使用户能够与共享通信空间中的其他参与者通过共享通信空间。

35. 发明申请

US20150169507A1 METHOD AND AN APPARATUS TO PROVIDE A PERSONLIZED PAGE 有权
标题翻译：方法和提供个人化页面的设备
公开(公告)号：US20150169507A1
公开(公告)日：2015-06-18
申请号：US13280826
申请日：2011-10-25
申请人： Noam M. Shazeer , Georges Harik
发明人： Noam M. Shazeer , Georges Harik
IPC分类号： G06F17/22 , G06F17/30
CPC分类号： G06F17/2235 , G06F17/30867
摘要： A method and an apparatus to provide a personalized page to a user have been disclosed. In one embodiment, a user is identified as a member of a first group and a member of a second group. The first group's level of interest (LOI) in a first item is identified, as well as the second group's LOI in a second item. The user's LOI in at least one of the first and the second items is identified.
摘要翻译：已经公开了一种向用户提供个性化页面的方法和装置。在一个实施例中，用户被识别为第一组的成员和第二组的成员。第一组中的第一组兴趣水平（LOI）被确定，第二组的LOI在第二个项目中被识别。识别在第一和第二项中的至少一个中的用户的LOI。

36. 发明申请

US20140279748A1 METHOD AND PROGRAM STRUCTURE FOR MACHINE LEARNING 审中-公开
标题翻译：机器学习的方法与程序结构
公开(公告)号：US20140279748A1
公开(公告)日：2014-09-18
申请号：US14203277
申请日：2014-03-10
申请人： Georges Harik
发明人： Georges Harik
IPC分类号： G06N99/00
CPC分类号： G06N20/00 , G06F16/316
摘要： A method using a recognizer program structure is used in a program that is learned over training data. The method includes (a) for each vector in an input tuple of vectors, (i) mapping the vector to one of a domain index; (ii) using the domain index to select one or more corresponding linear transformations; (iii) applying one or more of the selected linear transformations on the vector to obtain a resulting vector in a first intermediate space; and (iv) applying a predetermined function on each element of the resulting vector to obtain an output vector in a second intermediate space; and (b) mapping the resulting vectors of the second intermediate space by linear transformation to obtain an output tuple of vectors in RN space.
摘要翻译：在通过训练数据学习的程序中使用使用识别程序结构的方法。该方法包括（a）对于向量的输入元组中的每个向量，（i）将向量映射到域索引之一; （ii）使用域索引来选择一个或多个对应的线性变换; （iii）将所选择的线性变换中的一个或多个应用于所述向量以在第一中间空间中获得所得到的向量; 以及（iv）对所得到的矢量的每个元素应用预定函数，以获得第二中间空间中的输出向量; 和（b）通过线性变换映射所得到的第二中间空间的向量，以获得RN空间中的向量的输出元组。

37. 发明申请

US20140258206A1 METHOD AND PROGRAM STRUCTURE FOR MACHINE LEARNING 审中-公开
标题翻译：机器学习的方法与程序结构
公开(公告)号：US20140258206A1
公开(公告)日：2014-09-11
申请号：US14203306
申请日：2014-03-10
申请人： Georges Harik
发明人： Georges Harik
IPC分类号： G06N5/02 , G06N99/00
CPC分类号： G06N99/005 , G06F17/276
摘要： A method provides program structures for constructing a program that is learned over training data. In one example, two specific program structures are provided in which the first program structure transforms each vector in an input tuple of vectors to provide an output tuple of vectors, and the second program structure operates on an input tuple of vectors to provide an output tuple of vectors by applying one or more transformations that each involves two or more vectors in the input tuple. The transformations of the first and second program structures may be linear transformations. The program may alternatively execute the first program structure and the second program structure in any suitable order a number of times, beginning with operating one of the program structures on an initial tuple of vectors. The vectors may each consist of an ordered set of real numbers.
摘要翻译：一种方法提供用于构建通过训练数据学习的程序的程序结构。在一个示例中，提供两个特定程序结构，其中第一程序结构在向量的输入元组中变换每个向量以提供向量的输出元组，并且第二程序结构对向量的输入元组进行操作以提供输出元组通过应用一个或多个变换，每个变换涉及输入元组中的两个或更多个向量。第一和第二程序结构的变换可以是线性变换。程序可替代地以任何合适的次序执行第一程序结构和第二程序结构，其次是在向量的初始元组上操作程序结构之一。向量可以各自由有序的实数集合组成。

38. 发明申请

US20140214735A1 METHOD FOR AN OPTIMIZING PREDICTIVE MODEL USING GRADIENT DESCENT AND CONJUGATE RESIDUALS 审中-公开
标题翻译：使用梯度和连续残差优化预测模型的方法
公开(公告)号：US20140214735A1
公开(公告)日：2014-07-31
申请号：US14165431
申请日：2014-01-27
申请人： Georges Harik , PageBites, Inc.
发明人： Georges Harik
IPC分类号： G06N99/00
CPC分类号： G06N99/005
摘要： An optimization in machine learning is achieved using Newton's algorithm together with an efficient technique for solving linear equations, such as the method of conjugate residuals. The techniques of the present invention are applicable to learning language models, predicting classes of objects from images and videos, and classifying financial transactions for prevention of fraud. Other uses include determining a function from a sequence of words to a relevant web page for a search engine, or to inverting arbitrary output values of an analyzed system into an internally running simulation.
摘要翻译：使用牛顿算法和解决线性方程的有效技术，如共轭残差法，实现机器学习的优化。本发明的技术适用于学习语言模型，从图像和视频中预测对象的类别，以及对金融交易进行分类以防止欺诈。其他用途包括从一系列单词到搜索引擎的相关网页确定一个函数，或将所分析的系统的任意输出值反转为内部运行的模拟。

39. 发明申请

US20140156569A1 METHOD AND APPARATUS FOR IMPROVING RESILIENCE IN CUSTOMIZED PROGRAM LEARNING NETWORK COMPUTATIONAL ENVIRONMENTS 有权
标题翻译：用于改善自定义程序学习网络计算环境中的可靠性的方法和装置
公开(公告)号：US20140156569A1
公开(公告)日：2014-06-05
申请号：US13921124
申请日：2013-06-18
申请人： Georges Harik
发明人： Georges Harik
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N3/08
摘要： An apparatus and a method are provided for learning a program with a large number of parameters. In one embodiment, a method not only distorts the input values, but also distorts some of the parameters in the program model. Such an approach not only forces the learned program to acquire parameter values to predict missing or desired data, but also to correct errors in the input data and the program parameters themselves, thereby rendering the learned program more resilient to overfitting and falling into local optima.
摘要翻译：提供了一种用于学习具有大量参数的程序的装置和方法。在一个实施例中，一种方法不仅会扭曲输入值，而且会扭曲程序模型中的一些参数。这种方法不仅强制学习的程序获取参数值来预测丢失或期望的数据，而且还要纠正输入数据和程序参数本身中的错误，从而使学习的程序更适合过度拟合并落入局部最优。

40. 发明授权

US08688720B1 Method and apparatus for characterizing documents based on clusters of related words 有权
标题翻译：基于相关单词集合来表征文档的方法和装置
公开(公告)号：US08688720B1
公开(公告)日：2014-04-01
申请号：US12131637
申请日：2008-06-02
申请人： Georges Harik , Noam M. Shazeer
发明人： Georges Harik , Noam M. Shazeer
IPC分类号： G06F7/00
CPC分类号： G06F17/30707 , G06F17/30616 , G06F17/30705 , Y10S707/99935 , Y10S707/99943
摘要： One embodiment of the present invention provides a system characterizes a document with respect to clusters of conceptually related words. Upon receiving a document containing a set of words, the system selects “candidate clusters” of conceptually related words that are related to the set of words. These candidate clusters are selected using a model that explains how sets of words are generated from clusters of conceptually related words. Next, the system constructs a set of components to characterize the document, wherein the set of components includes components for candidate clusters. Each component in the set of components indicates a degree to which a corresponding candidate cluster is related to the set of words.
摘要翻译：本发明的一个实施例提供了一种系统表征关于概念上相关词组的文档。在接收到包含一组单词的文档时，系统选择与该组词相关的概念上相关词的“候选聚类”。使用一个模型来选择这些候选群集，该模型解释了如何从概念上相关的单词群集中生成单词组。接下来，系统构造一组组件来表征文档，其中该组组件包括用于候选聚类的组件。组件组中的每个组件表示对应的候选集群与该组集合相关的程度。

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