公开(公告)号：US09152722B2

公开(公告)日：2015-10-06

申请号：US12347882

申请日：2008-12-31

申请人： Saurabh Sahni ,  Ian Kennedy ,  Pankaj Kothari ,  Todd Sampson ,  Emanuel Miller ,  John Sampson ,  Chris Goffinet ,  Steve Ho ,  Raymund Ramos ,  Mani Kumar

发明人： Saurabh Sahni ,  Ian Kennedy ,  Pankaj Kothari ,  Todd Sampson ,  Emanuel Miller ,  John Sampson ,  Chris Goffinet ,  Steve Ho ,  Raymund Ramos ,  Mani Kumar

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/30876

摘要： A method of gathering information relevant to the interests of a user includes receiving activity history associated with the user from a network data source, where the activity history includes a description of a user action initiated by the user, generating a first metadata item based upon the activity history; and storing the first metadata item as user profile information associated with the user in a user profile database. Generating the first metadata item may include extracting text from the activity history and generating the first metadata item based upon the text. The activity history may include a description of a user action. The method may further include providing a server plugin for performing a second method in response to access of web content on a server by the user, the second method comprising retrieving a content object from the server, determining if the first metadata item is relevant to the content object, adding a web link to the web content as a reference to the content object in response to the content object being relevant to the first metadata item; and providing the web content to the user.

摘要翻译： 收集与用户兴趣相关的信息的方法包括从网络数据源接收与用户相关联的活动历史，其中活动历史包括由用户发起的用户动作的描述，基于 活动历史; 以及将所述第一元数据项目作为与所述用户相关联的用户简档信息存储在用户简档数据库中。 生成第一元数据项可以包括从活动历史中提取文本并且基于文本生成第一元数据项。 活动历史可以包括用户动作的描述。 该方法可以进一步包括提供服务器插件，用于响应于用户对服务器上的web内容的访问而执行第二方法，第二方法包括从服务器检索内容对象，确定第一元数据项是否与 内容对象，响应于与第一元数据项相关的内容对象，将作为对内容对象的引用的web链接添加到web内容; 并向用户提供网页内容。

公开(公告)号：US20100023506A1

公开(公告)日：2010-01-28

申请号：US12347882

申请日：2008-12-31

申请人： Saurabh Sahni ,  Ian Kennedy ,  Pankaj Kothari ,  Todd Sampson ,  Emanuel Miller ,  John Sampson ,  Chris Goffinet ,  Steve Ho ,  Raymund Ramos ,  Mani Kumar

发明人： Saurabh Sahni ,  Ian Kennedy ,  Pankaj Kothari ,  Todd Sampson ,  Emanuel Miller ,  John Sampson ,  Chris Goffinet ,  Steve Ho ,  Raymund Ramos ,  Mani Kumar

IPC分类号： G06F7/06 ,  G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/30876

摘要： A method of gathering information relevant to the interests of a user includes receiving activity history associated with the user from a network data source, where the activity history includes a description of a user action initiated by the user, generating a first metadata item based upon the activity history; and storing the first metadata item as user profile information associated with the user in a user profile database. Generating the first metadata item may include extracting text from the activity history and generating the first metadata item based upon the text. The activity history may include a description of a user action. The method may further include providing a server plugin for performing a second method in response to access of web content on a server by the user, the second method comprising retrieving a content object from the server, determining if the first metadata item is relevant to the content object, adding a web link to the web content as a reference to the content object in response to the content object being relevant to the first metadata item; and providing the web content to the user.

摘要翻译： 收集与用户兴趣相关的信息的方法包括从网络数据源接收与用户相关联的活动历史，其中活动历史包括由用户发起的用户动作的描述，基于 活动历史; 以及将所述第一元数据项作为与所述用户相关联的用户简档信息存储在用户简档数据库中。 生成第一元数据项可以包括从活动历史中提取文本并且基于文本生成第一元数据项。 活动历史可以包括用户动作的描述。 该方法可以进一步包括提供服务器插件，用于响应于用户对服务器上的web内容的访问而执行第二方法，第二方法包括从服务器检索内容对象，确定第一元数据项是否与 内容对象，响应于与第一元数据项相关的内容对象，将作为对内容对象的引用的web链接添加到web内容; 并向用户提供网页内容。

公开(公告)号：US08468158B2

公开(公告)日：2013-06-18

申请号：US12266508

申请日：2008-11-06

申请人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

发明人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30035 ,  G06F17/30867

摘要： Embodiments are directed towards determining frequencies for adaptively crawling user activity feeds, by taking into account user activity patterns, as well as a type or nature of a service to be crawled. A statistical model of activity patterns is generated for each user and user activity source based on various parameters. The activity patterns may be weighted to account for variation in relevancy of user content. Various measures are generated that are adaptive by being updated at a rate determined sufficient to detect user activity pattern changes. The statistical model produces clusters of users for each service. A crawling frequency may be assigned to the various clusters such that different users for a given service may have content crawled at different frequencies.

摘要翻译： 实施例旨在通过考虑用户活动模式以及要爬行的服务的类型或性质来确定用于自适应地爬取用户活动馈送的频率。 基于各种参数为每个用户和用户活动源生成活动模式的统计模型。 可以加权活动模式以考虑用户内容的相关性的变化。 通过以足以检测用户活动模式改变的速率进行更新来生成适应性的各种措施。 统计模型为每个服务生成用户群集。 可以将爬行频率分配给各种群集，使得给定服务的不同用户可能具有以不同频率爬行的内容。

公开(公告)号：US08112393B2

公开(公告)日：2012-02-07

申请号：US12329443

申请日：2008-12-05

申请人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

发明人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

IPC分类号： G06F7/00

CPC分类号： G06F17/30663 ,  G06F17/30699

摘要： Embodiments are directed towards providing related keywords determined to be relevant to a search term using life-streaming data to identify the related keywords. Relevancy is determined by performing the related keyword analysis when life-stream services have been updated. Related keywords may be identified for a given search term using a combination of an aggregated life-stream analysis, a user profile based analysis, and/or a community based life-stream analysis. Each of these mechanisms identify a subset of updated life-streams or profiles to be analyzed to identify keywords that co-occur within each life-steam along with the given search term. The resulting co-occurring keywords may then be ordered based on a frequency of occurrence for the subset of life-streams. A weighted combination of the identified related keywords may be used to display related keywords to a user for use in modifying a search query.

摘要翻译： 实施例旨在提供使用生命流数据来确定与搜索词相关的相关关键词以识别相关关键字。 通过在生命周期服务更新时执行相关的关键字分析来确定相关性。 可以使用聚合的生命流分析，基于用户简档的分析和/或基于社区的生命周期分析的组合来针对给定搜索词来识别相关关键词。 这些机制中的每一个识别要分析的更新的生命流或简档的子集，以识别与给定搜索项一起在每个生命周期内共同出现的关键字。 然后可以基于生命流子集的发生频率来排序所产生的共同出现的关键词。 可以使用所标识的相关关键字的加权组合来向用户显示相关关键字以用于修改搜索查询。

公开(公告)号：US08515908B2

公开(公告)日：2013-08-20

申请号：US13343673

申请日：2012-01-04

申请人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

发明人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

IPC分类号： G06F17/30

CPC分类号： G06F17/30663 ,  G06F17/30699

摘要： Embodiments are directed towards providing related keywords determined to be relevant to a search term using life-streaming data to identify the related keywords. Relevancy is determined by performing the related keyword analysis when life-stream services have been updated. Related keywords may be identified for a given search term using a combination of an aggregated life-stream analysis, a user profile based analysis, and/or a community based life-stream analysis. Each of these mechanisms identify a subset of updated life-streams or profiles to be analyzed to identify keywords that co-occur within each life-steam along with the given search term. The resulting co-occurring keywords may then be ordered based on a frequency of occurrence for the subset of life-streams. A weighted combination of the identified related keywords may be used to display related keywords to a user for use in modifying a search query.

摘要翻译： 实施例旨在提供使用生命流数据来确定与搜索词相关的相关关键词以识别相关关键词。 通过在生命周期服务更新时执行相关的关键字分析来确定相关性。 可以使用聚合的生命流分析，基于用户简档的分析和/或基于社区的生命周期分析的组合来针对给定搜索词来识别相关关键词。 这些机制中的每一个识别要分析的更新的生命流或简档的子集，以识别与给定搜索项一起在每个生命周期内共同出现的关键字。 然后可以基于生命流子集的发生频率来排序所产生的共同出现的关键词。 可以使用所标识的相关关键字的加权组合来向用户显示相关关键字以用于修改搜索查询。

公开(公告)号：US20100145939A1

公开(公告)日：2010-06-10

申请号：US12329443

申请日：2008-12-05

申请人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

发明人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30663 ,  G06F17/30699

摘要： Embodiments are directed towards providing related keywords determined to be relevant to a search term using life-streaming data to identify the related keywords. Relevancy is determined by performing the related keyword analysis when life-stream services have been updated. Related keywords may be identified for a given search term using a combination of an aggregated life-stream analysis, a user profile based analysis, and/or a community based life-stream analysis. Each of these mechanisms identify a subset of updated life-streams or profiles to be analyzed to identify keywords that co-occur within each life-steam along with the given search term. The resulting co-occurring keywords may then be ordered based on a frequency of occurrence for the subset of life-streams. A weighted combination of the identified related keywords may be used to display related keywords to a user for use in modifying a search query.

摘要翻译： 实施例旨在提供使用生命流数据来确定与搜索词相关的相关关键词以识别相关关键词。 通过在生命周期服务更新时执行相关的关键字分析来确定相关性。 可以使用聚合的生命流分析，基于用户简档的分析和/或基于社区的生命周期分析的组合来针对给定搜索词来识别相关关键词。 这些机制中的每一个识别要分析的更新的生命流或简档的子集，以识别与给定搜索项一起在每个生命周期内共同出现的关键字。 然后可以基于生命流子集的发生频率来排序所产生的共同出现的关键词。 可以使用所标识的相关关键字的加权组合来向用户显示相关关键字以用于修改搜索查询。

公开(公告)号：US20100114946A1

公开(公告)日：2010-05-06

申请号：US12266508

申请日：2008-11-06

申请人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

发明人： Mani Kumar ,  Pankaj Kothari ,  Saurabh Sahni

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30035 ,  G06F17/30867

摘要： Embodiments are directed towards determining frequencies for adaptively crawling user activity feeds, by taking into account user activity patterns, as well as a type or nature of a service to be crawled. A statistical model of activity patterns is generated for each user and user activity source based on various parameters. The activity patterns may be weighted to account for variation in relevancy of user content. Various measures are generated that are adaptive by being updated at a rate determined sufficient to detect user activity pattern changes. The statistical model produces clusters of users for each service. A crawling frequency may be assigned to the various clusters such that different users for a given service may have content crawled at different frequencies.

摘要翻译： 实施例旨在通过考虑用户活动模式以及要爬行的服务的类型或性质来确定用于自适应地爬取用户活动馈送的频率。 基于各种参数为每个用户和用户活动源生成活动模式的统计模型。 可以加权活动模式以考虑用户内容的相关性的变化。 通过以足以检测用户活动模式改变的速率进行更新来生成适应性的各种措施。 统计模型为每个服务生成用户群集。 可以将爬行频率分配给各种群集，使得给定服务的不同用户可能具有以不同频率爬行的内容。