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公开(公告)号：US07831585B2
公开(公告)日：2010-11-09
申请号：US11294265
申请日：2005-12-05
CPC分类号： G06F17/3089 , G06F17/30867 , G06Q30/02 , G06Q30/0207 , G06Q40/04
摘要： A task-based advertisement system and method are provided. The system employs high-order concepts (e.g., booking a flight, checking stock quotes etc.) embodied in “task(s)” which can then be bid upon by advertisers. The task(s) employed by the system are based upon a semantic solution to a natural-language query. The system includes a search engine that is capable of serving content in response to user query(ies). The system further includes a task server that can include hardware and/or software to retrieve task(s) in response to user query(ies). The task(s) retrieved by the task server can be presented to advertiser(s) who can bid on the task(s).
摘要翻译： 提供了基于任务的广告系统和方法。 该系统采用体现在“任务”中的高级概念（例如，预订飞行，检查股票报价等），然后可以由广告商进行投标。 系统使用的任务是基于对自然语言查询的语义解决方案。 该系统包括能够响应用户查询服务内容的搜索引擎。 系统还包括任务服务器，其可以包括响应于用户查询来检索任务的硬件和/或软件。 任务服务器检索到的任务可以呈现给可以对任务进行投标的广告商。
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公开(公告)号：US20080010069A1
公开(公告)日：2008-01-10
申请号：US11483946
申请日：2006-07-10
IPC分类号： G10L15/18
CPC分类号： G06F9/451 , G10L2015/228
摘要： A semantic and speech component provides a user interface for interaction with a user or author, and handles interactions with speech subsystems and semantic subsystems, so the user or author is not required to know the idiosyncrasies of each of those subsystems.
摘要翻译： 语义和语音组件提供用于与用户或作者交互的用户界面，并且处理与语音子系统和语义子系统的交互，因此用户或作者不需要知道每个子系统的特征。
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公开(公告)号：US07814092B2
公开(公告)日：2010-10-12
申请号：US11249982
申请日：2005-10-13
CPC分类号： G06F17/278
摘要： A computer-implemented method of performing named entity recognition in a client-server environment includes providing a first named entity recognition module operable with a client machine in the client-server environment and a second named entity recognition module operable with a server in the client-server environment. The method also includes performing named entity recognition on the client machine to identify one or more domain dependent named entities in a set of tokens and data assessable to the client machine and performing named entity recognition on the server to identify one or more domain independent named entities in the set of tokens and data assessable to the server. A task is completed using at least information related to the identified named entities from the client machine and the server.
摘要翻译： 在客户机 - 服务器环境中执行命名实体识别的计算机实现的方法包括提供可与客户机 - 服务器环境中的客户端机器一起操作的第一命名实体识别模块和可与客户端 - 服务器环境中的服务器一起操作的第二命名实体识别模块， 服务器环境。 该方法还包括在客户端计算机上执行命名实体识别以识别一组令牌中的一个或多个依赖域名的命名实体和可评估给客户机的数据，并在服务器上执行命名实体识别以识别一个或多个域独立的命名实体 在一组令牌和数据可评估到服务器。 使用至少与来自客户机和服务器的所识别的命名实体相关的信息完成任务。
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公开(公告)号：US07606700B2
公开(公告)日：2009-10-20
申请号：US11270393
申请日：2005-11-09
IPC分类号： G06F17/27
CPC分类号： G06F17/279 , G06F17/278 , G10L2015/223
摘要： The subject disclosure pertains to systems and methods for performing natural language processing in which natural language input is mapped to a task. The system includes a task interface for defining a task, the associated data and the manner in which the task data is interpreted. Furthermore, the system provides a framework that manages the tasks to facilitate natural language processing. The task interface and framework can be used to provide natural language processing capabilities to third party applications. Additionally, the task framework can learn or be trained based upon feedback received from the third party applications.
摘要翻译： 本发明涉及用于执行自然语言处理的系统和方法，其中自然语言输入被映射到任务。 该系统包括用于定义任务的任务界面，相关联的数据以及解释任务数据的方式。 此外，系统提供了一个管理任务以促进自然语言处理的框架。 任务界面和框架可用于向第三方应用程序提供自然语言处理功能。 此外，任务框架可以基于从第三方应用程序接收的反馈来学习或接受培训。
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公开(公告)号：US20060287980A1
公开(公告)日：2006-12-21
申请号：US11157599
申请日：2005-06-21
申请人： Jun Liu , Adwait Ratnaparkhi , Qi Yao , Sanjeev Katariya
发明人： Jun Liu , Adwait Ratnaparkhi , Qi Yao , Sanjeev Katariya
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： The subject invention relates to systems and methods that automatically combine or interleave received search results from across knowledge databases in a uniform and consistent manner. In one aspect, an automated search results blending system is provided. The system includes a search component that directs a query to at least two databases. A learning component is employed to rank or score search results that are received from the databases in response to the query. A blending component automatically interleaves or combines the results according to the rank in order to provide a consistent ranking system across differing knowledge sources and search tools.
摘要翻译： 本发明涉及以统一和一致的方式自动地组合或交织来自跨知识数据库的接收的搜索结果的系统和方法。 一方面，提供了一种自动搜索结果混合系统。 该系统包括将查询引导至少两个数据库的搜索组件。 采用学习组件对从数据库接收的响应于查询的搜索结果进行排名或评分。 混合组件根据等级自动地交织或组合结果，以便在不同的知识源和搜索工具之间提供一致的排名系统。
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公开(公告)号：US20060253428A1
公开(公告)日：2006-11-09
申请号：US11123277
申请日：2005-05-06
申请人： Sanjeev Katariya , Qi Yao , Jun Liu , Adwait Ratnaparkhi , Bradley Green
发明人： Sanjeev Katariya , Qi Yao , Jun Liu , Adwait Ratnaparkhi , Bradley Green
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99932 , Y10S707/99933
摘要： Property store information and an aggregation of a plurality of ranking mechanisms, including a learning mechanism, are leveraged to provide performant query results with increased user relevancy. The learning mechanism permits query feedback to be accepted to facilitate in optimizing user relevance. This mechanism can also be incorporated with traditional Information Retrieval (IR) components, each supplying independent ranking to a relevance aggregation function that determines relevancy at a high level. This precludes diminishing the value of query feedback that occurs when the data is fed into traditional IR algorithms. By allowing the query feedback to maintain its proper weighting and utilizing scope and bias capabilities of the property store information, relevance increases in a highly performant manner.
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公开(公告)号：US07627564B2
公开(公告)日：2009-12-01
申请号：US11157600
申请日：2005-06-21
申请人： Qi Yao , Jun Liu , Sanjeev Katariya
发明人： Qi Yao , Jun Liu , Sanjeev Katariya
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937
摘要： The subject invention relates to systems and methods that employ automated learning techniques to database and information retrieval systems in order to facilitate knowledge capabilities for users and systems. In one aspect, an adaptive information retrieval system is provided. The system includes a database component to store structured and unstructured data values. A search component queries the data values from the database, wherein a learning component associated with the search component or the database component is provided to facilitate retrieval of desired information.
摘要翻译： 本发明涉及将自动化学习技术应用于数据库和信息检索系统以便促进用户和系统的知识能力的系统和方法。 一方面，提供了自适应信息检索系统。 该系统包括用于存储结构化和非结构化数据值的数据库组件。 搜索组件查询来自数据库的数据值，其中提供与搜索组件或数据库组件相关联的学习组件以便于检索所需信息。
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公开(公告)号：US07529736B2
公开(公告)日：2009-05-05
申请号：US11123277
申请日：2005-05-06
申请人： Sanjeev Katariya , Qi Yao , Jun Liu , Adwait Ratnaparkhi , Bradley R. Green
发明人： Sanjeev Katariya , Qi Yao , Jun Liu , Adwait Ratnaparkhi , Bradley R. Green
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99932 , Y10S707/99933
摘要： Property store information and an aggregation of a plurality of ranking mechanisms, including a learning mechanism, are leveraged to provide performant query results with increased user relevancy. The learning mechanism permits query feedback to be accepted to facilitate in optimizing user relevance. This mechanism can also be incorporated with traditional Information Retrieval (IR) components, each supplying independent ranking to a relevance aggregation function that determines relevancy at a high level. This precludes diminishing the value of query feedback that occurs when the data is fed into traditional IR algorithms. By allowing the query feedback to maintain its proper weighting and utilizing scope and bias capabilities of the property store information, relevance increases in a highly performant manner.
摘要翻译： 利用属性存储信息和包括学习机制在内的多个排名机制的聚合来提供具有增加的用户相关性的性能查询结果。 学习机制允许接受查询反馈以便于优化用户相关性。 这种机制还可以与传统的信息检索（IR）组件相结合，每个组件都提供独立排名，以确定相关性聚合功能，从而确定高水平的相关性。 这排除了当将数据馈送到传统IR算法时发生的查询反馈的值的减少。 通过允许查询反馈来维持其适当的权重并利用属性存储信息的范围和偏差能力，相关性以高性能的方式增加。
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公开(公告)号：US20060287993A1
公开(公告)日：2006-12-21
申请号：US11157600
申请日：2005-06-21
申请人： Qi Yao , Jun Liu , Sanjeev Katariya
发明人： Qi Yao , Jun Liu , Sanjeev Katariya
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937
摘要： The subject invention relates to systems and methods that employ automated learning techniques to database and information retrieval systems in order to facilitate knowledge capabilities for users and systems. In one aspect, an adaptive information retrieval system is provided. The system includes a database component to store structured and unstructured data values. A search component queries the data values from the database, wherein a learning component associated with the search component or the database component is provided to facilitate retrieval of desired information.
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公开(公告)号：US08583745B2
公开(公告)日：2013-11-12
申请号：US12124825
申请日：2008-05-21
申请人： Rob Bearman , Steve Bush , Thomas Butcher , Edward Jung , Sanjeev Katariya , Sami Khoury , Fajen Kyne
发明人： Rob Bearman , Steve Bush , Thomas Butcher , Edward Jung , Sanjeev Katariya , Sami Khoury , Fajen Kyne
IPC分类号： G06F15/16
CPC分类号： G06F15/16
摘要： A method and system for mapping logical identifiers to physical identifiers is provided. In one embodiment, a logical routing system allows each application, or more generally entity (e.g., user of an application), to register its logical identifier to physical identifier mapping when the application starts executing on a computer. To send a message to an application identified by a logical identifier, a client program uses the registered mapping to identify the physical identifier of the computer. If an application later starts executing on a different computer, then the application can register a different mapping.
摘要翻译： 提供了一种用于将逻辑标识符映射到物理标识符的方法和系统。 在一个实施例中，当应用程序在计算机上开始执行时，逻辑路由系统允许每个应用或更一般地实体（例如，应用的用户）将其逻辑标识符注册到物理标识符映射。 为了向由逻辑标识符标识的应用发送消息，客户机程序使用注册的映射来识别计算机的物理标识符。 如果应用程序稍后开始在不同的计算机上执行，则应用程序可以注册不同的映射。
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