Corner assembly construction for an air handling unit
    3.
    发明申请
    Corner assembly construction for an air handling unit 审中-公开
    空气处理单元的角落组装结构

    公开(公告)号:US20050055917A1

    公开(公告)日:2005-03-17

    申请号:US10916894

    申请日:2004-08-12

    摘要: A structural fitting for constructing an air handling unit framework including a member having a first portion, a second portion and a third portion, each portion having a first leg and a second leg. The first leg of the first portion and the second leg of the second portion form a first edge, the second leg of the first portion and the first leg of the third portion form a second edge and the first leg of the second portion and the second leg of the third portion form a third edge. The first edge, the second edge and the third edge form a corner. The ends of the first edge, the second edge and the third edge opposite the corner each receive an end of a structural member to form a corner of the framework.

    摘要翻译: 一种用于构造空气处理单元框架的结构配件,其包括具有第一部分,第二部分和第三部分的构件,每个部分具有第一腿部和第二腿部。 第二部分的第一部分和第二腿部的第一腿形成第一边缘,第一部分的第二腿部和第三部分的第一腿部形成第二边缘,第二部分的第一腿部和第二部分的第二腿部 第三部分的腿部形成第三边缘。 第一边缘,第二边缘和第三边缘形成一个角。 第一边缘,第二边缘和与拐角相对的第三边缘的端部接收结构构件的端部以形成框架的拐角。

    Method and Apparatus for Context-Based Content Recommendation
    5.
    发明申请
    Method and Apparatus for Context-Based Content Recommendation 审中-公开
    基于上下文的内容建议的方法和装置

    公开(公告)号:US20120311139A1

    公开(公告)日:2012-12-06

    申请号:US13312665

    申请日:2011-12-06

    申请人: Scott Brave Jack Jia

    发明人: Scott Brave Jack Jia

    IPC分类号: G06F15/173

    CPC分类号: G06F16/9535

    摘要: Starting with the people in and around enterprises, the expertise and work patterns stored in people's brains as exhibited in their daily behavior is detected and captured. A behavioral based knowledge index is thus created that is used to produce expert-guided, personalized information.

    摘要翻译: 从企业内外的人们开始,发现和捕获了在日常行为中展示的人脑中存储的专业知识和工作模式。 因此,创建了一种基于行为的知识索引,用于产生专家指导的个性化信息。

    Method and apparatus for context-based content recommendation
    6.
    发明授权
    Method and apparatus for context-based content recommendation 有权
    基于上下文的内容推荐的方法和装置

    公开(公告)号:US08095523B2

    公开(公告)日:2012-01-10

    申请号:US12188850

    申请日:2008-08-08

    申请人: Scott Brave Jack Jia

    发明人: Scott Brave Jack Jia

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30867

    摘要: Starting with the people in and around enterprises, the expertise and work patterns stored in people's brains as exhibited in their daily behavior is detected and captured. A behavioral based knowledge index is thus created that is used to produce expert-guided, personalized information.

    摘要翻译: 从企业内外的人们开始,发现和捕获了在日常行为中展示的人脑中存储的专业知识和工作模式。 因此,创建了一种基于行为的知识索引,用于产生专家指导的个性化信息。

    Method and apparatus for predicting destinations in a navigation context based upon observed usage patterns
    7.
    发明申请
    Method and apparatus for predicting destinations in a navigation context based upon observed usage patterns 有权
    基于观察到的使用模式来预测导航上下文中的目的地的方法和装置

    公开(公告)号:US20070150464A1

    公开(公告)日:2007-06-28

    申请号:US11350646

    申请日:2006-02-08

    IPC分类号: G06F17/30

    摘要: The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

    摘要翻译: 本发明包括一组互补技术,其显着地改善企业搜索和导航结果。 本发明的核心是专门知识或知识指数,称为UseRank,用于跟踪网站访问者的行为。 专业知识指数旨在关注企业属性的四个主要发现:主体权限,工作模式,内容创新和组织知识。 本发明产生有用,及时,跨应用,基于专业知识的搜索和导航结果。 相比之下,传统的信息检索技术,如反向索引,NLP或分类法,解决了与企业需求相反的属性相同的问题:内容人口,词形式,内容存在和统计趋势。 总体而言,本发明涵盖了Baynote搜索 - 对现有IR搜索的增强,Baynote指南 - 一组社区驱动的导航,以及Baynote Insights - 访问者兴趣和趋势以及内容差距的综合观点。

    Method and apparatus for identifying, extracting, capturing, and leveraging expertise and knowledge
    8.
    发明授权
    Method and apparatus for identifying, extracting, capturing, and leveraging expertise and knowledge 有权
    用于识别,提取,捕获和利用专业知识和知识的方法和设备

    公开(公告)号:US07698270B2

    公开(公告)日:2010-04-13

    申请号:US11319928

    申请日:2005-12-27

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30867

    摘要: The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

    摘要翻译: 本发明包括一组互补技术,其显着地改善企业搜索和导航结果。 本发明的核心是专门知识或知识指数,称为UseRank,用于跟踪网站访问者的行为。 专业知识指数旨在关注企业属性的四个主要发现:主体权限,工作模式,内容创新和组织知识。 本发明产生有用,及时,跨应用,基于专业知识的搜索和导航结果。 相比之下,传统的信息检索技术,如反向索引,NLP或分类法,解决了与企业需求相反的属性相同的问题:内容人口,词形式,内容存在和统计趋势。 总体而言,本发明涵盖了Baynote搜索 - 对现有IR搜索的增强,Baynote指南 - 一组社区驱动的导航,以及Baynote Insights - 访问者兴趣和趋势以及内容差距的综合观点。

    Method and apparatus for determining peer groups based upon observed usage patterns
    9.
    发明授权
    Method and apparatus for determining peer groups based upon observed usage patterns 有权
    基于观察到的使用模式来确定对等体组的方法和装置

    公开(公告)号:US07693836B2

    公开(公告)日:2010-04-06

    申请号:US11350428

    申请日:2006-02-08

    IPC分类号: G06F17/30

    摘要: The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention encompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

    摘要翻译: 本发明包括一组互补技术,其显着地改善企业搜索和导航结果。 本发明的核心是专门知识或知识指数,称为UseRank,用于跟踪网站访问者的行为。 专业知识指数旨在关注企业属性的四个主要发现:主体权限,工作模式,内容创新和组织知识。 本发明产生有用,及时,跨应用,基于专业知识的搜索和导航结果。 相比之下,传统的信息检索技术,如反向索引,NLP或分类法,解决了与企业需求相反的属性相同的问题:内容人口,词形式,内容存在和统计趋势。 总体而言,本发明包括Baynote Search - 对现有IR搜索的增强,Baynote指南 - 一组社区导向的导航,以及Baynote Insights - 对访客兴趣和趋势以及内容差距的综合观点。

    Method and apparatus for determining peer groups based upon observed usage patterns
    10.
    发明申请
    Method and apparatus for determining peer groups based upon observed usage patterns 有权
    基于观察到的使用模式来确定对等体组的方法和装置

    公开(公告)号:US20070150470A1

    公开(公告)日:2007-06-28

    申请号:US11350428

    申请日:2006-02-08

    IPC分类号: G06F17/30

    摘要: The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

    摘要翻译: 本发明包括一组互补技术,其显着地改善企业搜索和导航结果。 本发明的核心是专门知识或知识指数,称为UseRank,用于跟踪网站访问者的行为。 专业知识指数旨在关注企业属性的四个主要发现:主体权限,工作模式,内容创新和组织知识。 本发明产生有用,及时,跨应用,基于专业知识的搜索和导航结果。 相比之下,传统的信息检索技术,如反向索引,NLP或分类法,解决了与企业需求相反的属性相同的问题:内容人口,词形式,内容存在和统计趋势。 总体而言,本发明涵盖了Baynote搜索 - 对现有IR搜索的增强,Baynote指南 - 一组社区驱动的导航,以及Baynote Insights - 访问者兴趣和趋势以及内容差距的综合观点。