会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Automated adaptive classification system for knowledge networks
    • 自动化知识网络自适应分类系统
    • US07730072B2
    • 2010-06-01
    • US09751934
    • 2000-12-29
    • James Neal RichterDouglas K. WarnerGanesh Prabu
    • James Neal RichterDouglas K. WarnerGanesh Prabu
    • G06F7/00G06F17/00G06F17/30
    • G06F17/3071G06F17/30864G06F17/30873G06K9/62
    • A method and apparatus for use in an information retrieval system is provided, which derives related informational items that have a usage based relationship strength, and which results in an efficient and more accurate dynamic relationship association between informational items. This system comprises the steps for detecting a selection of at least a first informational item and a second informational item in an information retrieval session. A relationship type is assigned based on characteristic similarities between the first informational item and the second informational item. Additionally, a relationship strength is assigned based on historical frequency of the consecutive selection of the first and second informational items and providing an access to the second informational item upon detection of the first being accessed by a user of the information retrieval system. Also, in accordance with the principles of the present invention, the extraction of textual database fields; the application of multiple text classification algorithms; the merging of the algorithm results; the encoding of the merged results as a Bayesian-type link; the use of feedback methods to weight, prune and age the relationship link serves to automate and enhance the process of classification in an information retrieval system.
    • 提供了一种在信息检索系统中使用的方法和装置,其导出具有基于使用的关系强度的相关信息项,并且导致信息项之间的有效和更准确的动态关系关联。 该系统包括用于检测信息检索会话中的至少第一信息项和第二信息项的选择的步骤。 基于第一信息项和第二信息项之间的特征相似性来分配关系类型。 此外,基于第一和第二信息项目的连续选择的历史频率来分配关系强度,并且在检测到由信息检索系统的用户访问的第一信息项目时提供对第二信息项目的访问。 此外,根据本发明的原理,提取文本数据库字段; 多文本分类算法的应用; 合并算法结果; 合并结果的编码为贝叶斯型链接; 使用反馈方法来加权,修剪和老化关系链接,用于自动化和增强信息检索系统中的分类过程。
    • 2. 发明授权
    • Recursive document network searching system having manual and learned component structures
    • 递归文件网络搜索系统具有手动和学习的组件结构
    • US08583628B2
    • 2013-11-12
    • US11615629
    • 2006-12-22
    • James Neal RichterChristopher M. TarabochiaDouglas K Warner
    • James Neal RichterChristopher M. TarabochiaDouglas K Warner
    • G06F7/00G06F17/30
    • G06F17/30864
    • An apparatus and method for a recursive document network searching system comprising a searchable document database containing multiple root and sub-root documents containing relational links to other documents where the relational links are manually created or are created by way learned functional components. An inventive aspect of this work is the ability to co-mingle the manual and learned components of such structures so that the user can have an efficient system for and method of a convenient and economical retrieval of the one desired informational item in an informational retrieval system that allows leveraging of the time and effort invested during prior information retrieval sessions; and can have an efficient system and method for a dynamic and context sensitive mapping of help items in a help information retrieval system. The documents at any point in the network can contain relational links to other documents both for the purposes of constructing a network. This network can be cyclic or acyclic.
    • 一种用于递归文档网络搜索系统的装置和方法,包括可搜索文档数据库,其包含多个根和子根文档,其中包含与其他文档的关系链接,其中手动创建关系链接或通过学习的功能组件创建关系链接。 这项工作的一个发明方面是能够共同使用这种结构的手动和学习的组件,使得用户可以有一个有效的系统和便利和经济地检索信息检索系统中的一个所需信息项的方法和方法 可以利用在先前的信息检索会议期间投入的时间和精力; 并且可以具有用于帮助信息检索系统中的帮助项的动态和上下文敏感映射的有效的系统和方法。 网络中任何一点的文档都可以包含与其他文档的关系链接,以构建网络。 该网络可以是循环的或非循环的。
    • 3. 发明申请
    • METHOD FOR CLUSTERING AUTOMATION AND CLASSIFICATION TECHNIQUES
    • 用于分组自动化和分类技术的方法
    • US20090198717A1
    • 2009-08-06
    • US12353126
    • 2009-01-13
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • G06F17/00G06F17/30
    • G06F17/30707Y10S707/99942
    • A method and system for use in an information retrieval system that provides related informational items that can be automatically classified and summarized in a hierarchical manner. The system comprises the steps and means for the presentation and analysis of mined data through the application of four distinct processes, namely, feature selection, clustering, classification and summarization. The implementation of each of these techniques is a single process without regard to order. Individual informational items are analyzed, and relevant features extracted. Individual groups of informational items, otherwise known as clusters, are identified, and rules are determined to allow the assignment of informational items to the previously mentioned groups. Descriptive and meaningful titles are then identified for the groups. Various methods of presenting searched information to an end user are also provided. A method of adaptive clustering is also provided.
    • 一种在信息检索系统中使用的方法和系统,其提供可以以分级方式自动分类和总结的相关信息项目。 该系统包括通过应用四个不同的过程,即特征选择,聚类,分类和总结来呈现和分析开采数据的步骤和手段。 这些技术中的每一种的实现是单一过程,而不考虑顺序。 分析个人信息项目,并提取相关特征。 识别信息项目的单个组,也称为集群,并且确定规则以允许将信息项目分配给前述组。 然后为组确定描述性和有意义的标题。 还提供了向最终用户呈现搜索信息的各种方法。 还提供了一种自适应聚类的方法。
    • 4. 发明授权
    • Method for clustering automation and classification techniques
    • 自动化和分类技术的聚类方法
    • US07478103B2
    • 2009-01-13
    • US10226542
    • 2002-08-22
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • G06F7/00
    • G06F17/30707Y10S707/99942
    • A method and system for use in an information retrieval system that provides related informational items that can be automatically classified and summarized in a hierarchical manner. The system comprises the steps and means for the presentation and analysis of mined data through the application of four distinct processes, namely, feature selection, clustering, classification and summarization. The implementation of each of these techniques is a single process without regard to order. Individual informational items are analyzed, and relevant features extracted. Individual groups of informational items, otherwise known as clusters, are identified, and rules are determined to allow the assignment of informational items to the previously mentioned groups. Descriptive and meaningful titles are then identified for the groups. Various methods of presenting searched information to an end user are also provided. A method of adaptive clustering is also provided.
    • 一种在信息检索系统中使用的方法和系统,其提供可以以分级方式自动分类和总结的相关信息项目。 该系统包括通过应用四个不同的过程,即特征选择,聚类,分类和总结来呈现和分析开采数据的步骤和手段。 这些技术中的每一种的实现是单一过程,而不考虑顺序。 分析个人信息项目,并提取相关特征。 识别信息项目的单个组,也称为集群,并且确定规则以允许将信息项目分配给前述组。 然后为组确定描述性和有意义的标题。 还提供了向最终用户呈现搜索信息的各种方法。 还提供了一种自适应聚类的方法。
    • 5. 发明授权
    • Method for clustering automation and classification techniques
    • 自动化和分类技术的聚类方法
    • US08321455B2
    • 2012-11-27
    • US12353126
    • 2009-01-13
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • Douglas K. WarnerJames Neal RichterBikramjit Banerjee
    • G06F7/00G06F17/30
    • G06F17/30707Y10S707/99942
    • A method and system for use in an information retrieval system that provides related informational items that can be automatically classified and summarized in a hierarchical manner. The system comprises the steps and means for the presentation and analysis of mined data through the application of four distinct processes, namely, feature selection, clustering, classification and summarization. The implementation of each of these techniques is a single process without regard to order. Individual informational items are analyzed, and relevant features extracted. Individual groups of informational items, otherwise known as clusters, are identified, and rules are determined to allow the assignment of informational items to the previously mentioned groups. Descriptive and meaningful titles are then identified for the groups. Various methods of presenting searched information to an end user are also provided. A method of adaptive clustering is also provided.
    • 一种在信息检索系统中使用的方法和系统,其提供可以以分级方式自动分类和总结的相关信息项目。 该系统包括通过应用四个不同的过程,即特征选择,聚类,分类和总结来呈现和分析开采数据的步骤和手段。 这些技术中的每一种的实现是单一过程,而不考虑顺序。 分析个人信息项目,并提取相关特征。 识别信息项目的单个组,也称为集群,并且确定规则以允许将信息项目分配给前述组。 然后为组确定描述性和有意义的标题。 还提供了向最终用户呈现搜索信息的各种方法。 还提供了一种自适应聚类的方法。
    • 8. 发明授权
    • Predictive and profile learning salesperson performance system and method
    • 预测和概况学习销售人员绩效系统和方法
    • US08527324B2
    • 2013-09-03
    • US11617437
    • 2006-12-28
    • James Neal Richter
    • James Neal Richter
    • G06Q10/00
    • G06Q10/06398G06Q10/00G06Q10/06395G06Q30/0202
    • A sales automation system and method, namely a system and method for scoring sales representative performance and forecasting future sales representative performance. These scoring and forecasting techniques can apply to a sales representative monitoring his own performance, comparing himself to others within the organization (or even between organizations using methods described in application), contemplating which job duties are falling behind and which are ahead of schedule, and numerous other related activities. Similarly, with the sales representative providing a full set of performance data, the system is in a position to aid a sales manager identify which sales representatives are behind others and why, as well as help with resource planning should requirements, such as quotas or staffing, change.
    • 销售自动化系统和方法,即评估销售代表性能的系统和方法,以及对未来销售代表性能的预测。 这些评分和预测技术可以适用于监督他自己的表现的销售代表,将自己与组织内的其他人(甚至使用应用程序中描述的方法的组织之间)进行比较,考虑哪些工作职责落后于哪些是提前的,以及 许多其他相关活动。 同样,销售代表提供一套全面的业绩数据,该系统能够帮助销售经理确定哪些销售代表在其他人身后,以及为什么以及帮助资源规划,如需求,如配额或人员配置 ,改变。
    • 9. 发明申请
    • PREDICTIVE AND PROFILE LEARNING SALES AUTOMATION ANALYTICS SYSTEM AND METHOD
    • 预测和配置学习销售自动化分析系统和方法
    • US20080162487A1
    • 2008-07-03
    • US11617437
    • 2006-12-28
    • James Neal Richter
    • James Neal Richter
    • G06F17/30G06F15/18
    • G06Q10/06398G06Q10/00G06Q10/06395G06Q30/0202
    • A sales automation system and method, namely a system and method for scoring sales representative performance and forecasting future sales representative performance. These scoring and forecasting techniques can apply to a sales representative monitoring his own performance, comparing himself to others within the organization (or even between organizations using methods described in application), contemplating which job duties are falling behind and which are ahead of schedule, and numerous other related activities. Similarly, with the sales representative providing a full set of performance data, the system is in a position to aid a sales manager identify which sales representatives are behind others and why, as well as help with resource planning should requirements, such as quotas or staffing, change.
    • 销售自动化系统和方法,即评估销售代表性能的系统和方法,以及对未来销售代表性能的预测。 这些评分和预测技术可以适用于监督他自己的表现的销售代表,将自己与组织内的其他人(甚至使用应用程序中描述的方法的组织之间)进行比较,考虑哪些工作职责落后于哪些是提前的,以及 许多其他相关活动。 同样,销售代表提供一套全面的业绩数据,该系统能够帮助销售经理确定哪些销售代表在其他人身后,以及为什么以及帮助资源规划,如需求,如配额或人员配置 ,改变。