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    • 3. 发明授权
    • Method for interactively creating an information database including preferred information elements, such as preferred-authority, world wide web pages
    • 用于交互地创建包括优选信息元素的信息数据库的方法,诸如首选权限,万维网页面
    • US06356899B1
    • 2002-03-12
    • US09261926
    • 1999-03-03
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonPrabhakar RaghavanSridhar RajagopalanShanmugasundaram RavikumarAndrew Tomkins
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonPrabhakar RaghavanSridhar RajagopalanShanmugasundaram RavikumarAndrew Tomkins
    • G06F1730
    • G06F17/30873Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99945
    • A method for identifying, filtering, ranking and cataloging information elements; as for example, World Wide Web pages, of the Internet in whole, part, or in combination. The method is preferably implemented in computer software and features steps for enabling a user to interactively create an information database including preferred information elements such as preferred World Wide Web pages in whole, part, or in combination. The method includes steps for enabling a user to interactively create a frame-based, hierarchical organizational structure for the information elements, and steps for identifying and automatically filtering and ranking by relevance, information elements, such as World Wide Web pages for populating the structure, to form; for example, a searchable, World Wide Web page database. Additionally, the method features steps for enabling a user to interactively define a frame-based, hierarchical information structure for cataloging information, identifying a preliminary population of information elements for a particular hierarchical category arranged as a frame, based upon the respective frame attributes, and thereafter, expanding the information population to include related information, and subsequently, automatically filtering and ranking the information based upon relevance, and then populating the hierarchical structure with the a definable portion of the filtered, ranked information elements.
    • 用于识别,过滤,排序和编目信息元素的方法; 例如,互联网的万维网页面,全部,部分或组合。 该方法优选地在计算机软件中实现,并且具有使用户能够以整体,部分或组合方式交互地创建包括优选信息元素(例如优选的万维网页)的信息数据库的步骤。 该方法包括使用户能够交互地创建用于信息元素的基于帧的分级组织结构的步骤,以及用于识别和自动过滤和排序相关性的步骤,用于填充结构的诸如万维网页面的信息元素, 来形成; 例如,可搜索的万维网页数据库。 另外,该方法具有以下步骤:使得用户能够交互地定义用于编目信息的基于帧的分层信息结构,基于相应的帧属性来识别为排列为帧的特定分级类别的信息元素的初步总体,以及 此后,扩展信息群体以包括相关信息,并随后基于相关性自动过滤和排序信息,然后使用经过滤的排名信息元素的可定义部分来填充分层结构。
    • 4. 发明授权
    • Method for cataloging, filtering, and relevance ranking frame-based hierarchical information structures
    • 编目,过滤和相关性排序基于帧的层次信息结构的方法
    • US06334131B2
    • 2001-12-25
    • US09143733
    • 1998-08-29
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonPrabhakar RaghavanSridhar RajagopalanShanmugasundaram RavikumarAndrew Tomkins
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonPrabhakar RaghavanSridhar RajagopalanShanmugasundaram RavikumarAndrew Tomkins
    • G06F1730
    • G06F17/30873Y10S707/99931Y10S707/99932Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99943Y10S707/99945
    • A method for cataloging, filtering and ranking information, as for example, World Wide Web pages of the Internet. The method is preferably implemented in computer software and features steps for enabling a user to interactively create an information database including preferred information elements such as preferred-authority World Wide Web pages. The method includes steps for enabling a user to interactively create a frame-based, hierarchical organizational structure for the information elements, and steps for identifying and automatically filtering and ranking by relevance, information elements, such as World Wide Web pages for populating the structure, to form, for example, a searchable, World Wide Web page database. Additionally, the method features steps for enabling a user to interactively define a frame-based, hierarchical information structure for cataloging information, identifying a preliminary population of information elements for a particular hierarchical category arranged as a frame, based upon the respective frame attributes, and thereafter, expanding the information population to include related information, and subsequently, automatically filtering and ranking the information based upon relevance, and then populating the hierarchical structure with a definable portion of the filtered, ranked information elements.
    • 用于对信息进行编目,过滤和排序的方法,例如互联网的万维网页面。 该方法优选地在计算机软件中实现,并且特征步骤用于使得用户能够交互地创建包括诸如优选权威万维网页面之类的优选信息元素的信息数据库。 该方法包括使用户能够交互地创建用于信息元素的基于帧的分层组织结构的步骤,以及用于识别和自动过滤和排序相关性的步骤,诸如用于填充结构的万维网页面的信息元素, 以形成例如可搜索的万维网页数据库。 另外,该方法具有以下步骤:使得用户能够交互地定义用于编目信息的基于帧的分层信息结构,基于相应的帧属性来识别为排列为帧的特定分级类别的信息元素的初步总体,以及 此后,扩展信息群体以包括相关信息,随后基于相关性自动过滤和排序信息,然后用经过排序的信息元素的可定义部分填充分层结构。
    • 5. 发明授权
    • Method and system for filtering of information entities
    • 信息实体过滤方法和系统
    • US06996572B1
    • 2006-02-07
    • US08947221
    • 1997-10-08
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonJon Michael KleinbergPrabhakar RaghavanSridhar Rajagopalan
    • Soumen ChakrabartiByron Edward DomDavid Andrew GibsonJon Michael KleinbergPrabhakar RaghavanSridhar Rajagopalan
    • G06F17/00
    • G06F17/30864Y10S707/99943
    • A system and method are provided for eliciting interesting structure from a collection of entities or resources with explicit and/or implicit, static and/or dynamic relations, called “affinities,” between them. Interesting structure includes (1) notions of quality, authority, or definitiveness of information, (2) notions of relevance to a user's information need, (3) notions of similarity among the plurality of resources retrieved from a universe of resources by a query process, and (4) notions of similarity among the usages of resources by different users/servers. Similarities between entities are computed, based on similarities between the affinity values for the entities. That is, where the affinitiy values for two entities resemble each other, the two entities have a high degree of similarity. Using the similarities, the entities are ranked, clustered, etc., based on a significance derived from the similarities. The ranking, clustering, etc., makes up the interesting structure which is sought.
    • 提供了一种系统和方法,用于从具有明确和/或隐含,静态和/或动态关系的实体或资源集合中引出有趣的结构,在它们之间称为“亲和度”。 有趣的结构包括(1)信息的质量,权威或定义的概念,(2)与用户信息需求相关的概念,(3)通过查询过程从资源范围检索的多个资源之间的相似度概念 ,(4)不同用户/服务器资源使用情况之间的相似性概念。 基于实体的亲和度值之间的相似度来计算实体之间的相似性。 也就是说,两个实体的亲属价值相似,两个实体的相似度很高。 使用相似之处,实体根据从相似性导出的意义进行排名,聚类等。 排名,聚类等构成了有趣的结构。
    • 10. 发明授权
    • Multilevel taxonomy based on features derived from training documents classification using fisher values as discrimination values
    • 基于使用渔民价值作为歧视价值的培训文件分类的特征的多级分类法
    • US06233575B1
    • 2001-05-15
    • US09102861
    • 1998-06-23
    • Rakesh AgrawalSoumen ChakrabartiByron Edward DomPrabhakar Raghavan
    • Rakesh AgrawalSoumen ChakrabartiByron Edward DomPrabhakar Raghavan
    • G06F1730
    • G06F17/3071Y10S707/99932Y10S707/99936
    • A system, process, and article of manufacture for organizing a large text database into a hierarchy of topics and for maintaining this organization as documents are added and deleted and as the topic hierarchy changes. Given sample documents belonging to various nodes in the topic hierarchy, the tokens (terms, phrases, dates, or other usable feature in the document) that are most useful at each internal decision node for the purpose of routing new documents to the children of that node are automatically detected. Using feature terms, statistical models are constructed for each topic node. The models are used in an estimation technique to assign topic paths to new unlabeled documents. The hierarchical technique, in which feature terms can be very different at different nodes, leads to an efficient context-sensitive classification technique. The hierarchical technique can handle millions of documents and tens of thousands of topics. A resulting taxonomy and path enhanced retrieval system (TAPER) is used to generate context-dependent document indexing terms. The topic paths are used, in addition to keywords, for better focused searching and browsing of the text database.
    • 将大型文本数据库组织到主题层次结构中并将该组织作为文档进行维护的系统,过程和制品被添加和删除,并且随着主题层级的改变。 给定属于主题层次结构中各种节点的示例文档,在每个内部决策节点最有用的令牌(文档中的术语,短语,日期或其他可用功能),以将新文档路由到该文档的子项 节点被自动检测。 使用特征项,为每个主题节点构建统计模型。 这些模型用于估计技术,以将主题路径分配给新的未标记的文档。 特征项在不同节点上可能非常不同的分层技术导致了一种有效的上下文相关分类技术。 分层技术可以处理数百万个文档和数万个主题。 所得到的分类和路径增强检索系统(TAPER)用于生成与上下文相关的文档索引条款。 除了关键字之外,还使用主题路径,以便更好地集中搜索和浏览文本数据库。