公开(公告)号：US20070150464A1

公开(公告)日：2007-06-28

申请号：US11350646

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。

公开(公告)号：US07698270B2

公开(公告)日：2010-04-13

申请号：US11319928

申请日：2005-12-27

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

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。

公开(公告)号：US07693836B2

公开(公告)日：2010-04-06

申请号：US11350428

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。

公开(公告)号：US20070150470A1

公开(公告)日：2007-06-28

申请号：US11350428

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。

公开(公告)号：US07702690B2

公开(公告)日：2010-04-20

申请号：US11351143

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

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。 总体来说，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 - 对访问者兴趣和趋势以及内容差距的总体观点。

公开(公告)号：US07580930B2

公开(公告)日：2009-08-25

申请号：US11350646

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。

公开(公告)号：US20080040314A1

公开(公告)日：2008-02-14

申请号：US11874157

申请日：2007-10-17

申请人： Scott BRAVE ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott BRAVE ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

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 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.

公开(公告)号：US08601023B2

公开(公告)日：2013-12-03

申请号：US11874157

申请日：2007-10-17

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

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 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。

公开(公告)号：US07856446B2

公开(公告)日：2010-12-21

申请号：US11350904

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F7/00

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。

公开(公告)号：US07546295B2

公开(公告)日：2009-06-09

申请号：US11350668

申请日：2006-02-08

申请人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

发明人： Scott Brave ,  Robert Bradshaw ,  Jack Jia ,  Christopher Minson

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/966 ,  Y10S707/99936

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。