公开(公告)号：US08583745B2

公开(公告)日：2013-11-12

申请号：US12124825

申请日：2008-05-21

Applicant: Rob Bearman ,  Steve Bush ,  Thomas Butcher ,  Edward Jung ,  Sanjeev Katariya ,  Sami Khoury ,  Fajen Kyne

Inventor： Rob Bearman ,  Steve Bush ,  Thomas Butcher ,  Edward Jung ,  Sanjeev Katariya ,  Sami Khoury ,  Fajen Kyne

IPC: G06F15/16

CPC classification number: G06F15/16

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20070094185A1

公开(公告)日：2007-04-26

申请号：US11246847

申请日：2005-10-07

Applicant: William Ramsey ,  Jianfeng Gao ,  Sanjeev Katariya

Inventor： William Ramsey ,  Jianfeng Gao ,  Sanjeev Katariya

IPC: G06N5/00

CPC classification number: G06F17/2785

Abstract: The subject disclosure pertains to systems and methods for performing natural language processing in which tokens are mapped to task slots. The system includes a mapper component that generates a lattice representing possible interpretations of the tokens, a decoder component that creates a ranked list of paths traversing the lattice, a scorer component that generates scores used to rank paths and post-processing components that format the paths for use by other software. Each of these components may be independent, such that the component may be modified or replaced without affecting the remaining components. This allows a variety of different mathematical models and algorithms to be tested or deployed without requiring changes to the remainder of the system.

Abstract translation: 本发明涉及用于执行令牌被映射到任务时隙的自然语言处理的系统和方法。 该系统包括生成表示可能的令牌解释的格的映射器组件，创建遍历格子的路径的排序列表的解码器组件，产生用于对路径进行排序的得分器组件，以及后处理格式化路径的组件 供其他软件使用。 这些组件中的每一个可以是独立的，使得可以修改或替换组件而不影响剩余组件。 这允许测试或部署各种不同的数学模型和算法，而不需要更改系统的其余部分。

公开(公告)号：US20060287980A1

公开(公告)日：2006-12-21

申请号：US11157599

申请日：2005-06-21

Applicant: Jun Liu ,  Adwait Ratnaparkhi ,  Qi Yao ,  Sanjeev Katariya

Inventor： Jun Liu ,  Adwait Ratnaparkhi ,  Qi Yao ,  Sanjeev Katariya

IPC: G06F17/30

CPC classification number: G06F16/951

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20060265232A1

公开(公告)日：2006-11-23

申请号：US11133549

申请日：2005-05-20

Applicant: Sanjeev Katariya ,  Hsiao-Wuen Hon

Inventor： Sanjeev Katariya ,  Hsiao-Wuen Hon

IPC: G06Q99/00

CPC classification number: G06Q30/016 ,  G06F9/453 ,  G06Q30/02 ,  G06Q30/0281

Abstract: An adaptive customer assistance system that can serve as an integrated online and offline help platform for a suite of software products is provided. The assistance system includes a customer-interaction interface and a data management component and a download management component for distributed customer interaction. The data management component includes an authoring component, a download component, a runtime component and an analysis component. The runtime component, which includes a customer assistance model, is configured to receive a user-formulated question from the customer-interaction interface. The runtime component provides an answer to the user-formulated question based on information included in the customer assistance model. The analysis component automatically analyzes, in substantially real-time, the user-formulated question and the corresponding answer, and provides an analysis output for use in improving a quality of customer assistance.

Abstract translation: 提供了一个自适应客户支持系统，可以作为一套软件产品的集成在线和离线帮助平台。 辅助系统包括客户交互界面和数据管理组件以及用于分布式客户交互的下载管理组件。 数据管理组件包括创作组件，下载组件，运行时组件和分析组件。 包括客户辅助模型的运行时组件被配置为从客户交互界面接收用户制定的问题。 运行时组件根据客户辅助模型中包含的信息提供了用户提出的问题的答案。 分析组件基本上实时地分析用户制定的问题和相应的答案，并提供用于提高客户协助质量的分析输出。

公开(公告)号：US20060253428A1

公开(公告)日：2006-11-09

申请号：US11123277

申请日：2005-05-06

Applicant: Sanjeev Katariya ,  Qi Yao ,  Jun Liu ,  Adwait Ratnaparkhi ,  Bradley Green

Inventor： Sanjeev Katariya ,  Qi Yao ,  Jun Liu ,  Adwait Ratnaparkhi ,  Bradley Green

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  Y10S707/99932 ,  Y10S707/99933

Abstract: 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.

公开(公告)号：US06449695B1

公开(公告)日：2002-09-10

申请号：US09321301

申请日：1999-05-27

Applicant: Alexandre Bereznyi ,  Sanjeev Katariya

Inventor： Alexandre Bereznyi ,  Sanjeev Katariya

IPC: G06F1212

CPC classification number: G06F17/30902 ,  G06F12/123

Abstract: A cache system controls the insertion and deletion of data items using a plurality of utilization lists. When a data item is stored within the data cache, a corresponding data pointer, or other indicator, is stored within the utilization list in a manner indicative of the sequence in which data items were stored in the data cache. When a data item is subsequently retrieved from the data cache, the corresponding data pointer may be altered or moved to indicate that the data item has recently been retrieved. The data pointers corresponding to data items that have never been retrieved will indicate the sequence with which the data items were stored in the cache such that data items may be identified as least recently used (LRU) data items. The data pointers corresponding to data items that have been retrieved provide an indication of the sequence with which the data items have been retrieved such that the most recently retrieved data item is considered the most recently used (MRU) data item. The system controls the deletion of data items from the cache by deleting the LRU data items. A large number of utilization lists may operate independently to accommodate a large number of users. An entry pointer selects one of the utilization lists to store the data pointer corresponding to a data item stored within the cache. A deletion pointer selects one of the utilization lists. The system deletes the LRU data item based on the utilization list currently selected by the deletion pointer.

Abstract translation: 高速缓存系统使用多个利用列表来控制数据项的插入和删除。 当数据项存储在数据高速缓存中时，相应的数据指针或其他指示符以指示数据项存储在数据高速缓存中的顺序的方式存储在利用列表内。 当随后从数据高速缓存中检索数据项时，相应的数据指针可以被改变或移动，以指示最近已经检索出数据项。 对应于从未被检索到的数据项的数据指针将指示数据项被存储在高速缓存中的顺序，使得数据项可被识别为最近最少使用（LRU）数据项。 对应于已被检索的数据项的数据指针提供数据项被检索的序列的指示，使得最近检索的数据项被认为是最近使用的（MRU）数据项。 系统通过删除LRU数据项来控制从缓存中删除数据项。 大量的利用列表可以独立地操作以容纳大量的用户。 条目指针选择一个使用列表来存储对应于存储在高速缓存中的数据项的数据指针。 删除指针选择一个利用率列表。 系统根据删除指针当前选择的利用率列表删除LRU数据项。

公开(公告)号：US20120158669A1

公开(公告)日：2012-06-21

申请号：US12972320

申请日：2010-12-17

Applicant: Magdi Morsi ,  Ying Sun ,  Wai-Ho Au ,  Sanjeev Katariya ,  Scott Sovine

Inventor： Magdi Morsi ,  Ying Sun ,  Wai-Ho Au ,  Sanjeev Katariya ,  Scott Sovine

IPC: G06F17/30

CPC classification number: G06F17/30085

Abstract: Systems and methods for dynamically managed data retention are described. The system comprises a tiered framework having a plurality of namespaces. The namespaces are configured by a user to have selected data retention attributes. Data including a manifest may be received by the system, processed, and directed to a namespace based upon the manifest. Data storage partitions may be created automatically in association with a namespace, and the data partitions may be assigned partition attributes. Data in a storage partition may be migrated automatically to another namespace based on the partition attributes. Code necessary for creating storage partitions and migrating data is generated by the data management system.

Abstract translation: 描述了用于动态管理数据保留的系统和方法。 该系统包括具有多个命名空间的分层框架。 命名空间由用户配置为具有选定的数据保留属性。 包括清单的数据可以由系统接收，根据清单进行处理并定向到命名空间。 可以与命名空间相关联地创建数据存储分区，并且数据分区可以被分配分区属性。 存储分区中的数据可能会根据分区属性自动迁移到另一个命名空间。 创建存储分区和迁移数据所需的代码由数据管理系统生成。

公开(公告)号：US07996783B2

公开(公告)日：2011-08-09

申请号：US11367292

申请日：2006-03-02

Applicant: William D. Ramsey ,  Sanjeev Katariya

Inventor： William D. Ramsey ,  Sanjeev Katariya

IPC: G06F3/048

CPC classification number: G06F17/30893

Abstract: A task framework and a semantic reasoning engine are combined to provide a scalable mechanism for dealing with extremely large numbers of widgets, allowing users to both find a widget and automatically fill-in whatever functionality is available on the widget. Calling applications are employed to obtain task information from each widget. The calling application also receives user queries that can be resolved by a widget. A task reasoning process based on an adaptive semantic reasoning engine utilizes the task information to select a widget best suited to respond to a user's query. The task reasoning process can also be employed to determine “best-guess” slot filling of the selected widget. The calling application can then invoke the selected widget and, if available, fill appropriate slots with information to facilitate user interaction with the selected widget. Instances can be client- and/or server-side based.

Abstract translation: 组合任务框架和语义推理引擎以提供可扩展的机制来处理极大数量的小部件，从而允许用户找到小部件，并自动填充小部件上可用的任何功能。 采用呼叫应用程序从每个小部件获取任务信息。 呼叫应用程序还接收可由窗口小部件解析的用户查询。 基于自适应语义推理引擎的任务推理过程利用任务信息来选择最适合于响应用户查询的小部件。 任务推理过程也可以用于确定所选小部件的“最佳猜测”插槽填充。 呼叫应用程序然后可以调用所选择的窗口小部件，并且如果可用，则填充具有信息的适当插槽以便于用户与所选择的窗口小部件交互。 实例可以是客户端和/或服务器端。

公开(公告)号：US07933914B2

公开(公告)日：2011-04-26

申请号：US11294581

申请日：2005-12-05

Applicant: William D. Ramsey ,  Qi Steven Yao ,  Sanjeev Katariya ,  Zhanliang Chen

Inventor： William D. Ramsey ,  Qi Steven Yao ,  Sanjeev Katariya ,  Zhanliang Chen

IPC: G06F17/30 ,  G06F15/16

CPC classification number: G06F17/30864

Abstract: A task system and method are provided. The system provides an automated approach for task creation, maintenance and/or execution. The system includes a browser that receives search results and at least one task associated with a query from a search engine. The system further includes a browser helper object that binds to the browser at runtime. The browser helper object provides information associated with a user's action with respect to the search results and/or at least one task. The information can be employed as feedback to update model(s) (e.g., query classification model(s) and/or slot-filling model(s)) of a semantic reasoning component that retrieves task based, at least in part, upon user query(ies).

Abstract translation: 提供了一个任务系统和方法。 该系统为任务创建，维护和/或执行提供了一种自动化方法。 该系统包括接收搜索结果的浏览器和与搜索引擎的查询相关联的至少一个任务。 该系统还包括在运行时绑定到浏览器的浏览器助手对象。 浏览器辅助对象提供与用户对于搜索结果和/或至少一个任务相关联的操作的信息。 该信息可以用作反馈，以至少部分地基于用户来更新检索任务的语义推理组件的模型（例如，查询分类模型和/或插槽填充模型） 查询（ies）。

公开(公告)号：US07627564B2

公开(公告)日：2009-12-01

申请号：US11157600

申请日：2005-06-21

Applicant: Qi Yao ,  Jun Liu ,  Sanjeev Katariya

Inventor： Qi Yao ,  Jun Liu ,  Sanjeev Katariya

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99937

Abstract: 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.

Abstract translation: 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。