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1. 发明授权

US07752119B2 Auction result prediction 有权
标题翻译：拍卖结果预测
公开(公告)号：US07752119B2
公开(公告)日：2010-07-06
申请号：US10867597
申请日：2004-06-14
申请人： Rayid Ghani , Hillery D. Simmons
发明人： Rayid Ghani , Hillery D. Simmons
IPC分类号： G06Q40/00
CPC分类号： G06Q30/08 , G06Q40/04
摘要： An auction analysis system predicts auction results. The analysis system may determine item, seller, or auction characteristics from prior or pending auctions. The analysis system also obtains item characteristics of an item for which a result prediction is sought, either by a buyer or by a seller. A price predictor in the system accepts the auction and item characteristics and predicts an auction result based on the characteristics.
摘要翻译：拍卖分析系统预测拍卖结果。分析系统可以从先前或未决的拍卖确定项目，卖方或拍卖特征。分析系统还可以由买方或卖方获得寻求结果预测的项目的项目特征。系统中的价格预测器接受拍卖和项目特征，并根据特征预测拍卖结果。

2. 发明授权

US07904378B2 Auction result prediction with auction insurance 有权
标题翻译：拍卖结果预测与拍卖保险
公开(公告)号：US07904378B2
公开(公告)日：2011-03-08
申请号：US12816079
申请日：2010-06-15
申请人： Rayid Ghani , Hillery D. Simmons
发明人： Rayid Ghani , Hillery D. Simmons
IPC分类号： G06Q40/00
CPC分类号： G06Q30/08 , G06Q30/0202 , G06Q40/04 , G06Q40/08
摘要： An auction result prediction system predicts auction results. The system may determine item, seller, or auction characteristics from prior or pending auctions. The system also obtains item characteristics of an item for which a result prediction is sought, either by a buyer or by a seller. A price predictor in the system accepts the auction and item characteristics and predicts an auction result based on the characteristics. The system also determines insurance parameters for insuring online auctions, and the insurance parameters may be based on predicted auction results. An insurance policy reflecting the insurance parameters may be offered to an online auction buyer, seller, or other market participant. The insurance policy may insure, for example, that an item for sale will obtain at least a price specified by the insurance policy.
摘要翻译：拍卖结果预测系统预测拍卖结果。系统可以从先前或未决的拍卖确定商品，卖家或拍卖特征。该系统还可以由买方或卖方获得寻求结果预测的项目的项目特征。系统中的价格预测器接受拍卖和项目特征，并根据特征预测拍卖结果。该系统还确定保险参数，以确保在线拍卖，保险参数可以基于预计的拍卖结果。可以向在线拍卖买方，卖方或其他市场参与者提供反映保险参数的保险单。保险单可以保险，例如，出售物品至少将获得保险单规定的价格。

3. 发明申请

US20100256999A1 AUCTION RESULT PREDICTION WITH AUCTION INSURANCE 有权
标题翻译：拍卖结果预测与拍卖保险
公开(公告)号：US20100256999A1
公开(公告)日：2010-10-07
申请号：US12816079
申请日：2010-06-15
申请人： Rayid Ghani , Hillery D. Simmons
发明人： Rayid Ghani , Hillery D. Simmons
IPC分类号： G06Q40/00 , G06Q10/00 , G06Q30/00
CPC分类号： G06Q30/08 , G06Q30/0202 , G06Q40/04 , G06Q40/08
摘要： An auction result prediction system predicts auction results. The system may determine item, seller, or auction characteristics from prior or pending auctions. The system also obtains item characteristics of an item for which a result prediction is sought, either by a buyer or by a seller. A price predictor in the system accepts the auction and item characteristics and predicts an auction result based on the characteristics. The system also determines insurance parameters for insuring online auctions, and the insurance parameters may be based on predicted auction results. An insurance policy reflecting the insurance parameters may be offered to an online auction buyer, seller, or other market participant. The insurance policy may insure, for example, that an item for sale will obtain at least a price specified by the insurance policy.
摘要翻译：拍卖结果预测系统预测拍卖结果。系统可以从先前或未决的拍卖确定商品，卖家或拍卖特征。该系统还可以由买方或卖方获得寻求结果预测的项目的项目特征。系统中的价格预测器接受拍卖和项目特征，并根据特征预测拍卖结果。该系统还确定保险参数，以确保在线拍卖，保险参数可以基于预计的拍卖结果。可以向在线拍卖买方，卖方或其他市场参与者提供反映保险参数的保险单。保险单可以保险，例如，出售物品至少将获得保险单规定的价格。

4. 发明授权

US08627483B2 Data anonymization based on guessing anonymity 有权
标题翻译：基于猜测匿名的数据匿名
公开(公告)号：US08627483B2
公开(公告)日：2014-01-07
申请号：US12338483
申请日：2008-12-18
申请人： Yaron Rachlin , Katherine Probst , Rayid Ghani
发明人： Yaron Rachlin , Katherine Probst , Rayid Ghani
IPC分类号： G06F7/04
CPC分类号： G06F21/60 , G06F21/6254
摘要： Privacy is defined in the context of a guessing game based on the so-called guessing inequality. The privacy of a sanitized record, i.e., guessing anonymity, is defined by the number of guesses an attacker needs to correctly guess an original record used to generate a sanitized record. Using this definition, optimization problems are formulated that optimize a second anonymization parameter (privacy or data distortion) given constraints on a first anonymization parameter (data distortion or privacy, respectively). Optimization is performed across a spectrum of possible values for at least one noise parameter within a noise model. Noise is then generated based on the noise parameter value(s) and applied to the data, which may comprise real and/or categorical data. Prior to anonymization, the data may have identifiers suppressed, whereas outlier data values in the noise perturbed data may be likewise modified to further ensure privacy.
摘要翻译：隐私在基于所谓的猜测不等式的猜测游戏的上下文中被定义。消毒记录的隐私，即猜测匿名，由攻击者需要正确猜测用于生成消毒记录的原始记录的猜测次数来定义。使用该定义，给出了优化问题，其优化给定第一匿名参数（分别为数据失真或隐私）的约束的第二匿名参数（隐私或数据失真）。在噪声模型中的至少一个噪声参数的可能值的频谱范围内执行优化。然后基于噪声参数值产生并施加到数据的噪声，该数据可以包括实际和/或分类数据。在匿名化之前，数据可以具有被抑制的标识符，而噪声干扰数据中的异常值数据值可以被修改以进一步确保隐私。

5. 发明申请

US20110307429A1 AUTOMATED CLASSIFICATION ALGORITHM COMPRISING AT LEAST ONE INPUT-INVARIANT PART 有权
标题翻译：自动分类算法包含至少一个输入不连续的部分
公开(公告)号：US20110307429A1
公开(公告)日：2011-12-15
申请号：US13216840
申请日：2011-08-24
申请人： Katharina Probst , Rayid Ghani
发明人： Katharina Probst , Rayid Ghani
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： A classification algorithm is separated into one or more input-invariant parts and one or more input-dependent classification parts. Classifiable electronic data is obtained via a communication network. Using the classification algorithm, classifications of a plurality of data elements in the classifiable data are identified, where the at least one classification part incorporates user input concerning classification of at least one data element of the plurality of data elements.
摘要翻译：分类算法被分成一个或多个输入不变部分和一个或多个输入相关分类部分。可通过通信网络获得分类电子数据。使用分类算法，识别可分类数据中的多个数据元素的分类，其中至少一个分类部分包含关于多个数据元素中的至少一个数据元素的分类的用户输入。

6. 发明申请

US20100153187A1 DETERMINATION OF A PROFILE OF AN ENTITY BASED ON PRODUCT DESCRIPTIONS 有权
标题翻译：基于产品描述确定实体的简档
公开(公告)号：US20100153187A1
公开(公告)日：2010-06-17
申请号：US12710832
申请日：2010-02-23
申请人： Rayid Ghani , Andrew E. Fano
发明人： Rayid Ghani , Andrew E. Fano
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q30/0204 , G06Q30/0255 , G06Q30/0631 , Y10S707/944
摘要： Relative to a given product or products, one or more attributes and, for each attribute, a plurality of possible attribute values, are defined. For a given product and attribute, one or more descriptions of the product are obtained and analyzed to determine the correspondence of the description(s), and hence the product itself, to each of the plurality of possible attribute values. In one embodiment, this analysis is based on previously-labeled training data. A knowledge base can be populated with information identifying the products and their correspondence to the plurality of possible attribute values for each attribute. This technique may be used to develop a profile of an entity, which in turn may be used to develop appropriate marketing messages or recommendations for other products.
摘要翻译：相对于给定的产品或产品，定义了一个或多个属性，并且对于每个属性，定义了多个可能的属性值。对于给定的产品和属性，获得和分析产品的一个或多个描述，以确定描述的对应关系，并因此确定产品本身与多个可能属性值中的每一个的对应关系。在一个实施例中，该分析基于先前标记的训练数据。可以使用识别产品的信息及其与每个属性的多个可能属性值的对应关系来填充知识库。该技术可以用于开发实体的简档，其可以用于为其他产品开发适当的营销消息或推荐。

7. 发明授权

US09460193B2 Context and process based search ranking 有权
标题翻译：基于上下文和流程的搜索排名
公开(公告)号：US09460193B2
公开(公告)日：2016-10-04
申请号：US13544551
申请日：2012-07-09
申请人： Rayid Ghani , Divna Djordjevic , Chad M. Cumby
发明人： Rayid Ghani , Divna Djordjevic , Chad M. Cumby
IPC分类号： G06F17/30
CPC分类号： G06F17/30654 , G06F17/30651 , G06F17/30675 , G06F17/30699 , G06F17/30867
摘要： A search ranking system may include a context mining module to determine a set of contexts based on profile of information rankable by the system and an access history of users that have accessed at least some of the information. A context detection module may compare an association of a user conducting a search with one or more of the contexts to thereby rank search results based on the comparison.
摘要翻译：搜索排名系统可以包括上下文挖掘模块，用于基于由该系统排序的信息的简档以及访问至少一些信息的用户的访问历史来确定一组上下文。上下文检测模块可以将进行搜索的用户与一个或多个上下文的关联进行比较，从而基于比较对搜索结果进行排名。

8. 发明授权

US08938386B2 Classification-based redaction in natural language text 有权
标题翻译：自然语言文本中基于分类的编辑
公开(公告)号：US08938386B2
公开(公告)日：2015-01-20
申请号：US13048003
申请日：2011-03-15
申请人： Chad Cumby , Rayid Ghani
发明人： Chad Cumby , Rayid Ghani
IPC分类号： G06F17/20 , G06F17/27 , G10L15/18 , G06F17/00 , G06F17/21
CPC分类号： G06F17/2785 , G06F17/21 , G06F17/2765
摘要： When redacting natural language text, a classifier is used to provide a sensitive concept model according to features in natural language text and in which the various classes employed are sensitive concepts reflected in the natural language text. Similarly, the classifier is used to provide an utility concepts model based on utility concepts. Based on these models, and for one or more identified sensitive concept and identified utility concept, at least one feature in the natural language text is identified that implicates the at least one identified sensitive topic more than the at least one identified utility concept. At least some of the features thus identified may be perturbed such that the modified natural language text may be provided as at least one redacted document. In this manner, features are perturbed to maximize classification error for sensitive concepts while simultaneously minimizing classification error in the utility concepts.
摘要翻译：当修改自然语言文本时，分类器用于根据自然语言文本中的特征提供敏感概念模型，其中使用的各种类别是反映在自然语言文本中的敏感概念。类似地，分类器用于提供基于效用概念的实用概念模型。基于这些模型，并且对于一个或多个识别的敏感概念和识别的实用性概念，识别自然语言文本中至少一个特征，其涉及至少一个所识别的敏感主题超过至少一个所标识的实用概念。所识别的至少一些特征可能受到干扰，使得修改的自然语言文本可以被提供为至少一个编辑文档。以这种方式，扰动特征以最大化敏感概念的分类误差，同时最小化效用概念中的分类误差。

9. 发明授权

US08650075B2 System for individualized customer interaction 有权
公开(公告)号：US08650075B2
公开(公告)日：2014-02-11
申请号：US13332590
申请日：2011-12-21
申请人： Andrew E. Fano , Chad M. Cumby , Rayid Ghani , Marko Krema
发明人： Andrew E. Fano , Chad M. Cumby , Rayid Ghani , Marko Krema
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0202 , G06N99/005 , G06Q10/087 , G06Q30/02 , G06Q30/0207 , G06Q30/0224 , G06Q30/0226 , G06Q30/0242 , G06Q30/0245 , G06Q30/0255 , G06Q30/0269 , G06Q30/0273 , G06Q30/0631 , G06Q30/0633 , G06Q50/12
摘要： A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).

10. 发明申请

US20120239380A1 Classification-Based Redaction in Natural Language Text 有权
标题翻译：自然语言文本中的基于分类的编辑
公开(公告)号：US20120239380A1
公开(公告)日：2012-09-20
申请号：US13048003
申请日：2011-03-15
申请人： Chad CUMBY , Rayid Ghani
发明人： Chad CUMBY , Rayid Ghani
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F17/21 , G06F17/2765
摘要： When redacting natural language text, a classifier is used to provide a sensitive concept model according to features in natural language text and in which the various classes employed are sensitive concepts reflected in the natural language text. Similarly, the classifier is used to provide an utility concepts model based on utility concepts. Based on these models, and for one or more identified sensitive concept and identified utility concept, at least one feature in the natural language text is identified that implicates the at least one identified sensitive topic more than the at least one identified utility concept. At least some of the features thus identified may be perturbed such that the modified natural language text may be provided as at least one redacted document. In this manner, features are perturbed to maximize classification error for sensitive concepts while simultaneously minimizing classification error in the utility concepts.
摘要翻译：当修改自然语言文本时，分类器用于根据自然语言文本中的特征提供敏感概念模型，其中使用的各种类别是反映在自然语言文本中的敏感概念。类似地，分类器用于提供基于效用概念的实用概念模型。基于这些模型，并且对于一个或多个识别的敏感概念和识别的实用性概念，识别自然语言文本中至少一个特征，其涉及至少一个所识别的敏感主题超过至少一个所标识的实用概念。所识别的至少一些特征可能受到干扰，使得修改的自然语言文本可以被提供为至少一个编辑文档。以这种方式，扰动特征以最大化敏感概念的分类误差，同时最小化效用概念中的分类误差。

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