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1.发明授权Method and system for the routing of requests using an automated classification and profile matching in a networked environment 失效在网络环境中使用自动分类和配置文件匹配来路由请求的方法和系统公开(公告)号：US06510431B1
公开(公告)日：2003-01-21
申请号：US09340380
申请日：1999-06-28
申请人： Matthias Eichstaedt , Jeffrey Thomas Kreulen , Vikas Krishna , William Scott Spangler , Hovey Raymond Strong, Jr.
发明人： Matthias Eichstaedt , Jeffrey Thomas Kreulen , Vikas Krishna , William Scott Spangler , Hovey Raymond Strong, Jr.
IPC分类号： G06F1730
CPC分类号： H04L29/06 , H04L67/327 , H04L69/329
摘要： A system and method for routing customer requests to advisors is disclosed. The system and method comprises at least one customer server process for receiving customer requests and classifying the information to produce a classified request, the classified request comprising the original request and at least one attribute. The system further comprises at least one advisor server process for receiving the classified requests, comparing the classified requests by associated profiles from the advisors to find matching attributes with classified request, and creating a connection between the requesting customer and at least one advisor, the at least one advisor having submitted a profile with matching attributes. A routing system in accordance with the present invention reduces response time to a problem and saves advisor time. The system also provides for an automatic response to frequent problems at increased efficiency. Finally, a system and method in accordance with the present invention is widely applicable to online shopping and customer service.
摘要翻译： 公开了一种用于将客户请求路由到顾问的系统和方法。 该系统和方法包括用于接收客户请求和分类信息以产生分类请求的至少一个客户服务器进程，分类请求包括原始请求和至少一个属性。 该系统还包括至少一个顾问服务器进程，用于接收分类的请求，将来自顾问的相关简档的分类请求进行比较，以便与分类请求一起找到匹配属性，以及在请求的客户与至少一个顾问之间建立连接， 至少有一位顾问提交了具有匹配属性的配置文件。 根据本发明的路由系统减少了对问题的响应时间并节省了顾问时间。 该系统还提供自动响应频繁的问题，提高效率。 最后，根据本发明的系统和方法广泛适用于在线购物和客户服务。
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2.发明授权Searching databases that identifying group documents forming high-dimensional torus geometric k-means clustering, ranking, summarizing based on vector triplets 失效搜索识别组成文件的数据库，形成高维圆环几何k均值聚类，排序，基于向量三元组的总结公开(公告)号：US06862586B1
公开(公告)日：2005-03-01
申请号：US09502452
申请日：2000-02-11
申请人： Jeffrey Thomas Kreulen , Vikas Krishna , Dharmendra Shantilal Modha , William Scott Spangler , Hovey Raymond Strong, Jr.
发明人： Jeffrey Thomas Kreulen , Vikas Krishna , Dharmendra Shantilal Modha , William Scott Spangler , Hovey Raymond Strong, Jr.
IPC分类号： G06F17/30
CPC分类号： G06F17/30014 , Y10S707/99933 , Y10S707/99937 , Y10S707/99943
摘要： A method and structure for performing a database search includes searching a database using a query (searching producing result items), and ranking the result items based on one or more of a frequency of an occurrence of in-links and out-links in each of the result items.
摘要翻译： 用于执行数据库搜索的方法和结构包括使用查询（搜索生成结果项）来搜索数据库，并且基于每个中的链接中和出站链接的发生频率中的一个或多个来对结果项进行排序 结果项目。
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公开(公告)号：US06424971B1
公开(公告)日：2002-07-23
申请号：US09429650
申请日：1999-10-29
申请人： Jeffrey Thomas Kreulen , Dharmendra Shantilal Modha , William Scott Spangler , Hovey Raymond Strong, Jr.
发明人： Jeffrey Thomas Kreulen , Dharmendra Shantilal Modha , William Scott Spangler , Hovey Raymond Strong, Jr.
IPC分类号： G06F1730
CPC分类号： G06F17/3071 , Y10S707/917 , Y10S707/99934 , Y10S707/99936 , Y10S707/99937 , Y10S707/99942
摘要： A system, method, and computer program product for interactively classifying and analyzing data is particularly applicable to classification and analysis of textual data. It is particularly useful in identification of helpdesk inquiry and problem categories amenable to automated fulfillment or solution. A dictionary is generated based on a frequency of occurrence of words in a document set. A count of occurrences of each word in the dictionary within each document in the document set is generated. The set of documents is partitioned into a plurality of clusters. A name, a centroid, a cohesion score, and a distinctness score are generated for each cluster and displayed in a table. The documents contained in the clusters sorted based on their similarity to other documents in the cluster. The similarity may be determined by calculating the distance of the document to the centroid of the cluster and the documents may be sorted in order of ascending or descending distance of the document to the centroid of the cluster. Editing input may be received from a user and the displayed table modified based on the received editing input—clusters may be split or deleted. The helpdesk application area is only one of many areas to which the present invention may be advantageously applied. One of ordinary skill in the art would recognize that any set of text documents may be classified and subsequently analyzed using the present invention.
摘要翻译： 用于交互式分类和分析数据的系统，方法和计算机程序产品特别适用于文本数据的分类和分析。 它在识别帮助台查询和符合自动化实现或解决方案的问题类别方面特别有用。 基于文档集中的单词的出现频率生成词典。 生成文档集中每个文档中字典中每个单词出现的次数。 文档集被划分成多个集群。 为每个集群生成一个名称，一个质心，一个内聚分数和一个明确度分数，并显示在一个表中。 集群中包含的文档根据与群集中其他文档的相似性进行排序。 可以通过计算文档到群集的质心的距离来确定相似度，并且文档可以按照文档与群集的质心的升序或降低距离的顺序进行排序。 可以从用户接收编辑输入，并且可以拆分或删除基于所接收的编辑输入簇所修改的显示表。 帮助台应用领域只是有利地应用本发明的许多领域之一。 本领域普通技术人员将认识到，可以使用本发明分类和随后分析任何文本文档集合。
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公开(公告)号：US06397215B1
公开(公告)日：2002-05-28
申请号：US09429651
申请日：1999-10-29
IPC分类号： G06F1730
CPC分类号： G06F17/30705 , G06F17/2735 , Y10S707/99936 , Y10S707/99937
摘要： A system and method for automatic generation of a comparison list given two different classifications, and automatic sorting of the list in order of similarity. A first dictionary is generated including a subset of words contained in a first document set, the first document set including at least one document and having an associated first classification including at least one class, each class having a class name. A second dictionary is generated including a subset of words contained in a second document set, the second document set including at least one document and having an associated second classification including at least one class, each class having a class name. A common dictionary including words that are common to both the first dictionary and the second dictionary is generated. A count of occurrences of each word in the common dictionary within each document in each document set is generated. A centroid of each class in the space of the common dictionary is generated. A nearest centroid in the second classification for each centroid in the first classification is determined. A list is generated including class names of each class in the first classification and a class name of a corresponding nearest class in the second classification and the class names in the first classification are sorted based on a distance from a nearest centroid in the second classification.
摘要翻译： 一种用于自动生成比较列表的系统和方法，给出两种不同的分类，并且以相似性的顺序自动排序列表。 生成第一字典，其包括包含在第一文档集中的单词的子集，所述第一文档集包括至少一个文档，并具有包括至少一个类的相关联的第一分类，每个类具有类名称。 生成包括第二文档集中包含的单词的子集的第二字典，所述第二文档集包括至少一个文档，并且具有包括至少一个类的相关联的第二分类，每个类具有类名称。 生成包含第一字典和第二字典共同的单词的通用字典。 生成每个文档集中每个文档中的公用字典中每个单词的出现次数。 生成公共字典空间中每个类的质心。 确定第一分类中每个质心的第二分类中最接近的质心。 生成包括第一分类中的每个类的类名和第二分类中对应的最近类的类名的列表，并且基于与第二分类中的最近质心的距离对第一分类中的类名进行排序。
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公开(公告)号：US08805843B2
公开(公告)日：2014-08-12
申请号：US12132515
申请日：2008-06-03
CPC分类号： G06F17/3071 , G06F17/30713 , G06N5/022
摘要： A method and analytics tools for information mining incorporating domain specific knowledge and conceptual structures are disclosed, the method including: providing a first set of documents related to a first topic of interest; using a first taxonomy to categorize the first set of documents into a set of categories; providing a second set of documents related to a second topic of interest; categorizing the second set of documents according to the set of categories of the first set of documents; using an element of domain knowledge to re-categorize the first set of documents; and examining a category to identify a document of interest.
摘要翻译： 公开了一种包含领域特定知识和概念结构的信息挖掘的方法和分析工具，该方法包括：提供与感兴趣的第一主题相关的第一组文档; 使用第一分类法将第一组文档分类为一组类别; 提供与第二个感兴趣的话题有关的第二组文件; 根据第一组文件的类别集合对第二组文件进行分类; 使用领域知识的要素重新分类第一组文件; 并检查类别以识别感兴趣的文档。
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6.发明授权公开(公告)号：US07711649B2
公开(公告)日：2010-05-04
申请号：US12418862
申请日：2009-04-06
申请人： Stephen Kane Boyer , Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
发明人： Stephen Kane Boyer , Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
IPC分类号： G06F17/60
CPC分类号： G06Q30/02
摘要： A method is disclosed for use with at least one initial document describing a technical concept suitable for licensing, the method comprising: retrieving a set of intellectual property documents from a data warehouse; partitioning the set of intellectual property documents into a plurality of document categories; classifying the set of intellectual property documents by an industry parameter; constructing a contingency table that includes a listing of industry classifications for each of the document categories, and identifying documents within a particular one of the document categories that have different industry classifications so as to identify at least one potential new licensee industry of the technical concept described in the initial document.
摘要翻译： 公开了一种与描述适合许可的技术概念的至少一个初始文件一起使用的方法，所述方法包括：从数据仓库检索一组知识产权文档; 将知识产权文档集分为多个文档类别; 通过行业参数对知识产权文件进行分类; 构建应急表，其中包括每个文档类别的行业分类列表，以及识别具有不同行业分类的特定文档类别中的文档，以便识别描述的技术概念的至少一个潜在的新被许可人行业 在初始文件中。
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7.发明申请公开(公告)号：US20080301105A1
公开(公告)日：2008-12-04
申请号：US12134098
申请日：2008-06-05
CPC分类号： G06F17/30958 , G06F17/30705 , G06F17/30731 , G06Q10/06
摘要： A method and analytics tools for locating experts with specific sets of expertise are disclosed, the method including providing a collection of documents P0; generating categories representing fields of expertise derived from the collection of documents P0; refining the taxonomy of the categories by applying user domain knowledge; extracting structured fields from the collection of documents P0; constructing a contingency table having a first axis defined by the extracted structured fields and a second axis defined by the categories; and using the contingency table to identify a set of experts having a related expertise. The method may also include a network graph analysis that aids visualization of the relationship between people and expertise.
摘要翻译： 公开了一种用于定位具有特定专业知识的专家的方法和分析工具，该方法包括提供文档集合P0; 生成代表从文献P0收集的专业领域的类别; 通过应用用户域知识来提炼类别的分类; 从文件集合P0提取结构化字段; 构造具有由所提取的结构化场定义的第一轴和由所述类别定义的第二轴的应变表; 并使用应变表来识别一组具有相关专长的专家。 该方法还可以包括有助于可视化人与专业知识之间的关系的网络图分析。
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8.发明授权Method and system for identifying relationships between text documents and structured variables pertaining to the text documents 有权用于识别文本文档和与文本文档相关的结构化变量之间的关系的方法和系统公开(公告)号：US07810029B2
公开(公告)日：2010-10-05
申请号：US11592957
申请日：2006-11-06
IPC分类号： G06F17/00
CPC分类号： G06F17/27 , Y10S707/99935
摘要： A method and system for interesting relationships in text documents includes generating a dictionary of keywords in the text documents, forming categories of the text documents using the dictionary and an automated algorithm, counting occurrences of the structured variables, categories and structured variable/category combinations in the text documents, and calculating probabilities of occurrences of the structured variable/category combinations.
摘要翻译： 一种用于文本文档中有趣关系的方法和系统包括在文本文档中生成关键字词典，使用词典形成文本文档的类别和自动算法，计算结构化变量的出现，类别和结构化变量/类别组合 文本文档和计算结构化变量/类别组合的出现概率。
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9.发明授权Methodologies and analytics tools for locating experts with specific sets of expertise 失效用于定位具有特定专业知识的专家的方法和分析工具公开(公告)号：US07792786B2
公开(公告)日：2010-09-07
申请号：US11674606
申请日：2007-02-13
CPC分类号： G06F17/30958 , G06F17/30705 , G06F17/30731 , G06Q10/06
摘要： A method and analytics tools for locating experts with specific sets of expertise are disclosed, the method including providing a collection of documents P0; generating categories representing fields of expertise derived from the collection of documents P0; refining the taxonomy of the categories by applying user domain knowledge; extracting structured fields from the collection of documents P0; constructing a contingency table having a first axis defined by the extracted structured fields and a second axis defined by the categories; and using the contingency table to identify a set of experts having a related expertise. The method may also include a network graph analysis that aids visualization of the relationship between people and expertise.
摘要翻译： 公开了一种用于定位具有特定专业知识的专家的方法和分析工具，该方法包括提供文档集合P0; 生成代表从文献P0收集的专业领域的类别; 通过应用用户域知识来提炼类别的分类; 从文件集合P0提取结构化字段; 构造具有由所提取的结构化场定义的第一轴和由所述类别定义的第二轴的应变表; 并使用应变表来识别一组具有相关专长的专家。 该方法还可以包括有助于可视化人与专业知识之间的关系的网络图分析。
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10.发明授权Method for automatically finding frequently asked questions in a helpdesk data set 失效在帮助台数据集中自动查找常见问题的方法公开(公告)号：US06804670B2
公开(公告)日：2004-10-12
申请号：US09935473
申请日：2001-08-22
申请人： Jeffrey Thomas Kreulen , Justin Thomas Lessler , Michael Ponce Sanchez , William Scott Spangler
发明人： Jeffrey Thomas Kreulen , Justin Thomas Lessler , Michael Ponce Sanchez , William Scott Spangler
IPC分类号： G06F1730
CPC分类号： G06F17/3071 , Y10S707/99933 , Y10S707/99935 , Y10S707/99937 , Y10S707/99943
摘要： A system and method automatically identify candidate helpdesk problem categories that are most amenable to automated solutions. The system generates a dictionary wherein each word in the text data set is identified, and the number of documents containing these words is counted, and a corresponding count is generated. The documents are partitioned into clusters. For each generated cluster, the system sorts the dictionary terms in order of decreasing occurrence frequency. It then determines a search space by selecting the top dictionary terms as specified by a user defined depth of search. Next, the system chooses a set of terms from the search space as specified by a user-defined value indicating the desired level of detail. For each possible combination of frequent terms in the search space, the system finds the set of examples containing all the terms, and then determines if the frequency is sufficiently high and the overlap sufficiently low for this candidate set of examples to be a frequently asked question.
摘要翻译： 系统和方法自动识别最适合于自动化解决方案的候选帮助台问题类别。 系统生成字典，其中识别文本数据集中的每个字，并且包含这些字的文档的数量被计数，并且生成相应的计数。 这些文件被分成几个集群。 对于每个生成的集群，系统按照发生次数减少的顺序排列字典项。 然后，通过选择由用户定义的搜索深度指定的顶部词典术语来确定搜索空间。 接下来，系统从搜索空间中选择一组由用户定义的值指定的值，该值指示所需的详细程度。 对于搜索空间中频繁项的每个可能的组合，系统找到包含所有项的示例集合，然后确定频率是否足够高，并且该候选组示例的重叠足够低是常见问题 。
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