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1. 发明授权

US07779009B2 Web query classification 有权
标题翻译： Web查询分类
公开(公告)号：US07779009B2
公开(公告)日：2010-08-17
申请号：US11340843
申请日：2006-01-27
申请人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
发明人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
IPC分类号： G06F17/30
CPC分类号： G06F17/30707 , G06F17/30657 , G06F17/30864
摘要： A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.
摘要翻译：查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。例如，广告可以基于分类来定制，而不是查询关键字。

2. 发明授权

US09424346B2 Web query classification 有权
公开(公告)号：US09424346B2
公开(公告)日：2016-08-23
申请号：US13453901
申请日：2012-04-23
申请人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
发明人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
IPC分类号： G06F17/30
CPC分类号： G06F17/30707 , G06F17/30657 , G06F17/30864
摘要： A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.

3. 发明申请

US20100299290A1 Web Query Classification 有权
标题翻译： Web查询分类
公开(公告)号：US20100299290A1
公开(公告)日：2010-11-25
申请号：US12848318
申请日：2010-08-02
申请人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
发明人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/30707 , G06F17/30657 , G06F17/30864
摘要： A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.
摘要翻译：查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。例如，广告可以基于分类来定制，而不是查询关键字。

4. 发明授权

US08166036B2 Web query classification 有权
标题翻译： Web查询分类
公开(公告)号：US08166036B2
公开(公告)日：2012-04-24
申请号：US12848318
申请日：2010-08-02
申请人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
发明人： Abdur R. Chowdhury , Steven Michael Beitzel , David Dolan Lewis , Aleksander Kolcz
IPC分类号： G06F17/30
CPC分类号： G06F17/30707 , G06F17/30657 , G06F17/30864
摘要： A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.
摘要翻译：查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。例如，广告可以基于分类来定制，而不是查询关键字。

5. 发明授权

US5950189A Retrieval system and method 失效
标题翻译：检索系统和方法
公开(公告)号：US5950189A
公开(公告)日：1999-09-07
申请号：US775913
申请日：1997-01-02
申请人： Edith Cohen , David Dolan Lewis
发明人： Edith Cohen , David Dolan Lewis
IPC分类号： G06F17/30
CPC分类号： G06F17/3069 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： The invention is an improved retrieval system and method. Many pattern recognition tasks, including estimation, classification, and the finding of similar objects, make use of linear models. For example, many text retrieval systems represent queries as linear functions, and retrieve documents whose vector representation has a high dot product with the query. The fundamental operation in such tasks is the computation of the dot product between a query vector and a large database of instance vectors. Often instance vectors which have high dot products with the query are of interest. The invention relates to a random sampling based retrieval system that can identify, for any given query vector, those instance vectors which have large dot products, while avoiding explicit computation of all dot products.
摘要翻译：本发明是一种改进的检索系统和方法。许多模式识别任务，包括估计，分类和类似对象的发现，都使用线性模型。例如，许多文本检索系统将查询表示为线性函数，并且检索其向量表示与查询具有高点积的文档。这些任务的基本操作是计算查询向量和实例向量的大型数据库之间的点积。通常，具有查询的高点积的实例向量是感兴趣的。本发明涉及一种基于随机抽样的检索系统，可以为任何给定的查询向量识别具有大点积的那些实例向量，同时避免所有点产品的显式计算。

6. 发明授权

US5671333A Training apparatus and method 失效
标题翻译：培训仪器和方法
公开(公告)号：US5671333A
公开(公告)日：1997-09-23
申请号：US224599
申请日：1994-04-07
申请人： Jason A. Catlett , William Arthur Gale , David Dolan Lewis
发明人： Jason A. Catlett , William Arthur Gale , David Dolan Lewis
IPC分类号： G06F17/27 , G06F15/18 , G06F17/30 , G06E1/00 , G06E3/00
CPC分类号： G06N99/005
摘要： Apparatus and methods for training classifiers. The apparatus includes a degree of certainty classifier which classifies examples in categories and indicates a degree of certainty regarding the classification and an annotating classifier which receives classified examples with a low degree of certainty from the degree of certainty classifier and annotates them to indicate whether their classifications are correct. The annotated examples are then used to train another classifier. In one version of the invention, the other classifier is a new version of the degree of certainty classifier, and training continues until the degree of certainty classifier has satisfactory performance. The degree of certainty classifier of the embodiment is a probabilistic binary classifier which is trained using relevance feedback. The annotating classifier may include an interactive interface which permits a human user of the system to examine an example and indicate whether it was properly classified.
摘要翻译：用于训练分类器的装置和方法。该装置包括一定程度的确定性分类器，其对类别中的示例进行分类，并且指示关于分类的确定性程度和注释分类器，其从确定性分类器的程度接收具有低度确定性的分类示例，并对其进行注释以指示其分类是正确的。然后将注释的示例用于训练另一个分类器。在本发明的一个版本中，其他分类器是确定性分类程度的新版本，并且训练继续进行，直到确定性分类器的程度具有令人满意的性能。该实施例的确定性分类器的程度是使用相关性反馈训练的概率二进制分类器。注释分类器可以包括允许系统的人类用户检查示例并指示其是否被适当分类的交互式界面。

7. 发明授权

US5970484A Method for retrieving texts which are similar to a sample text 失效
标题翻译：检索类似于示例文本的文本的方法
公开(公告)号：US5970484A
公开(公告)日：1999-10-19
申请号：US654044
申请日：1996-05-28
申请人： Kenneth Ward Church , Jonathan Isaac Helfman , David Dolan Lewis
发明人： Kenneth Ward Church , Jonathan Isaac Helfman , David Dolan Lewis
IPC分类号： G06F17/30 , H04N1/00 , H04N1/327
CPC分类号： H04N1/32778 , G06F17/30253 , G06F17/30637 , H04N1/00204 , H04N1/00244 , H04N1/32771 , H04N2201/0081 , H04N2201/0093 , Y10S707/99934
摘要： An information retrieval method wherein users may submit a query via a graphical bitmapping technique. The user provides an information retrieval system with a bitmap of a printed, written, or graphical query by either scanning the query with a graphical scanner, or employing a standard facsimile transmission machine. The information retrieval system then performs an optical image/character recognition process upon the received bitmap to determine the content of the query, information is then retried based upon the recognized characters and images. In a particular method of the invention, the user is provided with a bitmap of the retrieved information.
摘要翻译：一种信息检索方法，其中用户可以经由图形位图技术提交查询。用户通过使用图形扫描仪扫描查询或使用标准传真机提供具有打印，书写或图形查询的位图的信息检索系统。信息检索系统然后对所接收的位图执行光学图像/字符识别处理以确定查询的内容，然后基于所识别的字符和图像重新尝试信息。在本发明的特定方法中，向用户提供所检索信息的位图。

8. 发明授权

US5905863A Finding an e-mail message to which another e-mail message is a response 失效
标题翻译：查找另一个电子邮件是响应的电子邮件
公开(公告)号：US5905863A
公开(公告)日：1999-05-18
申请号：US866196
申请日：1997-05-30
申请人： Kimberly A. Knowles , David Dolan Lewis
发明人： Kimberly A. Knowles , David Dolan Lewis
IPC分类号： G06Q10/10 , H04L12/58 , G06F17/27
CPC分类号： H04L12/5885 , G06Q10/107 , H04L51/34
摘要： Current tools for processing e-mail and other messages do not adequately recognize and manipulate threads, i.e., conversations among two or more people carried out by exchange of messages. The present invention utilizes the textual context and characteristics of messages in order to provide a more reliable and effective way to construct message threads. In accordance with the present invention, statistical information retrieval techniques are used in conjunction with textual material obtained by "filtering" of messages to achieve a significant level of accuracy at identifying when one message is a reply to another.
摘要翻译：用于处理电子邮件和其他消息的当前工具不能充分地识别和操纵线程，即通过交换消息进行的两个或更多个人之间的对话。本发明利用消息的文本语境和特征，以提供构建消息线程的更可靠和有效的方式。根据本发明，统计信息检索技术与通过“过滤”消息获得的文本材料结合使用，以在识别何时一个消息是对另一个消息的回复时实现显着的准确度。

9. 发明授权

US09269053B2 Electronic review of documents 有权
标题翻译：电子审查文件
公开(公告)号：US09269053B2
公开(公告)日：2016-02-23
申请号：US13458219
申请日：2012-04-27
申请人： Jeffrey David Naslund , Kevin B. Thompson , David Dolan Lewis
发明人： Jeffrey David Naslund , Kevin B. Thompson , David Dolan Lewis
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N99/005
摘要： An example method for reviewing documents includes scoring documents using an artificial intelligence model, and selecting a subset of highest scoring documents. The method further includes inserting a number of randomly-selected documents into the subset of highest scoring documents to form a set of documents for review, wherein a reviewer cannot differentiate between the randomly-selected documents and the subset of highest scoring documents included in the set of documents for review, and presenting the set of documents for review by the reviewer.
摘要翻译：用于审查文档的示例性方法包括使用人造智能模型对文档进行评分，以及选择最高评分文档的子集。该方法还包括将多个随机选择的文档插入到最高评分文档的子集中以形成用于复审的一组文档，其中审阅者不能区分随机选择的文档和包括在该集合中的最高评分文档的子集的文件进行审查，并提交一组文件供审评员审查。

10. 发明申请

US20120278266A1 Electronic Review of Documents 有权
标题翻译：电子审查文件
公开(公告)号：US20120278266A1
公开(公告)日：2012-11-01
申请号：US13458219
申请日：2012-04-27
申请人： Jeffrey David Naslund , Kevin B. Thompson , David Dolan Lewis
发明人： Jeffrey David Naslund , Kevin B. Thompson , David Dolan Lewis
IPC分类号： G06N5/00
CPC分类号： G06N99/005
摘要： An example method for reviewing documents includes scoring documents using an artificial intelligence model, and selecting a subset of highest scoring documents. The method further includes inserting a number of randomly-selected documents into the subset of highest scoring documents to form a set of documents for review, wherein a reviewer cannot differentiate between the randomly-selected documents and the subset of highest scoring documents included in the set of documents for review, and presenting the set of documents for review by the reviewer.
摘要翻译：用于审查文档的示例性方法包括使用人造智能模型对文档进行评分，以及选择最高评分文档的子集。该方法还包括将多个随机选择的文档插入到最高评分文档的子集中以形成用于复审的一组文档，其中审阅者不能区分随机选择的文档和包括在该集合中的最高评分文档的子集的文件进行审查，并提交一组文件供审评员审查。

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