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1. 发明授权

US08265778B2 Event prediction using hierarchical event features 有权
标题翻译：使用分层事件特征的事件预测
公开(公告)号：US08265778B2
公开(公告)日：2012-09-11
申请号：US12817577
申请日：2010-06-17
申请人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
发明人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
IPC分类号： G06F19/00
CPC分类号： G06F17/30958 , G06F17/30867
摘要： Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
摘要翻译：描述使用分层事件特征的事件预测。在一个实施例中，搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。例如，描述搜索结果事件的特征是通常的资源定位符前缀级别，其本质上是分层相关的。在一个实施例中，创建和存储图形数据结构并用于表示特征之间的分层关系。在实例中使用在线训练过程，使知识能够通过图形数据结构根据特征之间的层次关系进行传播。在一个示例中，图形数据结构用于预测用户是否将点击搜索结果，并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。在另一个例子中，事件是广告印象，并且预测被在线广告系统使用。

2. 发明申请

US20110313548A1 Event Prediction Using Hierarchical Event Features 有权
标题翻译：使用分层事件特征的事件预测
公开(公告)号：US20110313548A1
公开(公告)日：2011-12-22
申请号：US12817577
申请日：2010-06-17
申请人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
发明人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
IPC分类号： G05B13/02 , G06F15/18 , G06F17/30
CPC分类号： G06F17/30958 , G06F17/30867
摘要： Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
摘要翻译：描述使用分层事件特征的事件预测。在一个实施例中，搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。例如，描述搜索结果事件的特征是通常的资源定位符前缀级别，其本质上是分层相关的。在一个实施例中，创建和存储图形数据结构并用于表示特征之间的分层关系。在实例中使用在线训练过程，使知识能够通过图形数据结构根据特征之间的层次关系进行传播。在一个示例中，图形数据结构用于预测用户是否将点击搜索结果，并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。在另一个例子中，事件是广告印象，并且预测被在线广告系统使用。

3. 发明授权

US08831754B2 Event prediction using hierarchical event features 有权
标题翻译：使用分层事件特征的事件预测
公开(公告)号：US08831754B2
公开(公告)日：2014-09-09
申请号：US13608714
申请日：2012-09-10
申请人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
发明人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
IPC分类号： G06F19/00 , G06F17/30
CPC分类号： G06F17/30958 , G06F17/30867
摘要： Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
摘要翻译：描述使用分层事件特征的事件预测。在一个实施例中，搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。例如，描述搜索结果事件的特征是通常的资源定位符前缀级别，其本质上是分层相关的。在一个实施例中，创建和存储图形数据结构并用于表示特征之间的分层关系。在实例中使用在线训练过程，使知识能够通过图形数据结构根据特征之间的层次关系进行传播。在一个示例中，图形数据结构用于预测用户是否将点击搜索结果，并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。在另一个例子中，事件是广告印象，并且预测被在线广告系统使用。

4. 发明申请

US20130006900A1 Event Prediction Using Hierarchical Event Features 有权
标题翻译：使用分层事件特征的事件预测
公开(公告)号：US20130006900A1
公开(公告)日：2013-01-03
申请号：US13608714
申请日：2012-09-10
申请人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
发明人： Michael J. Taylor , Vishwa Vinay , Yauhen Shnitko
IPC分类号： G06F15/18
CPC分类号： G06F17/30958 , G06F17/30867
摘要： Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
摘要翻译：描述使用分层事件特征的事件预测。在一个实施例中，搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。例如，描述搜索结果事件的特征是通常的资源定位符前缀级别，其本质上是分层相关的。在一个实施例中，创建和存储图形数据结构并用于表示特征之间的分层关系。在实例中使用在线训练过程，使知识能够通过图形数据结构根据特征之间的层次关系进行传播。在一个示例中，图形数据结构用于预测用户是否将点击搜索结果，并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。在另一个例子中，事件是广告印象，并且预测被在线广告系统使用。

5. 发明授权

US09922120B2 Online learning of click-through rates on federated search results 有权
公开(公告)号：US09922120B2
公开(公告)日：2018-03-20
申请号：US13593759
申请日：2012-08-24
申请人： Vishwa Vinay , Michael J. Taylor
发明人： Vishwa Vinay , Michael J. Taylor
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Online learning of click-through rates on search result blocks from one or more federated sources may be provided. Click-through feedback for the search result blocks may be received from the one or more federated sources in response to a query. Weights may be assigned to each of the search result blocks based on the received click-through feedback. The search result blocks may then be ranked based on the assigned weights. Finally, a search results page may be generated for displaying the ranked search results blocks to a user.

6. 发明申请

US20140059042A1 Online Learning of Click-through Rates on Federated Search Results 有权
标题翻译：在线学习联合搜索结果的点击率
公开(公告)号：US20140059042A1
公开(公告)日：2014-02-27
申请号：US13593759
申请日：2012-08-24
申请人： Vishwa Vinay , Michael J. Taylor
发明人： Vishwa Vinay , Michael J. Taylor
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Online learning of click-through rates on search result blocks from one or more federated sources may be provided. Click-through feedback for the search result blocks may be received from the one or more federated sources in response to a query. Weights may be assigned to each of the search result blocks based on the received click-through feedback. The search result blocks may then be ranked based on the assigned weights. Finally, a search results page may be generated for displaying the ranked search results blocks to a user.
摘要翻译：可以提供来自一个或多个联合来源的搜索结果块上的点击率的在线学习。响应于查询，可以从一个或多个联合源接收针对搜索结果块的点击式反馈。可以基于所接收的点击反馈将权重分配给每个搜索结果块。然后可以基于分配的权重对搜索结果块进行排名。最后，可以生成用于向用户显示排名的搜索结果块的搜索结果页面。

7. 发明授权

US08375052B2 Outgoing message monitor 有权
标题翻译：传出消息监视器
公开(公告)号：US08375052B2
公开(公告)日：2013-02-12
申请号：US11866637
申请日：2007-10-03
申请人： Lucas Bordeaux , Youssef Hamadi , Shahram Izadi , Vishwa Vinay
发明人： Lucas Bordeaux , Youssef Hamadi , Shahram Izadi , Vishwa Vinay
IPC分类号： G06F17/30
CPC分类号： G06Q10/107
摘要： An outgoing message monitor is provided. In an embodiment, outgoing messages are monitored to detect potential errors and alerts may be triggered. Using information about a message such as an email, a first classifier classifies the email into an expected class and a second classifier classifies the email into an actual class. On the basis of a comparison of the expected and actual classes an alert may be triggered. In an embodiment, the second classifier uses information derived from text content of the email which may optionally be pre-processed. The first classifier, for example, uses other information about the email such as its intended recipients, information about the presence of attachments, information about whether the email is part of a thread and other information.
摘要翻译：提供一个传出的消息监视器。在一个实施例中，监视传出的消息以检测潜在的错误，并且可以触发警报。使用关于诸如电子邮件的消息的信息，第一分类器将电子邮件分类为预期类，并且第二分类器将电子邮件分类为实际类。根据预期和实际类别的比较，可能会触发警报。在一个实施例中，第二分类器使用从可能可预先处理的电子邮件的文本内容导出的信息。例如，第一个分类器使用关于电子邮件的其他信息，例如其预期收件人，关于附件的存在的信息，关于该电子邮件是否是线程的一部分的信息以及其他信息。

8. 发明申请

US20090094240A1 Outgoing Message Monitor 有权
标题翻译：传出消息监视器
公开(公告)号：US20090094240A1
公开(公告)日：2009-04-09
申请号：US11866637
申请日：2007-10-03
申请人： Lucas Bordeaux , Youssef Hamadi , Shahram Izadi , Vishwa Vinay
发明人： Lucas Bordeaux , Youssef Hamadi , Shahram Izadi , Vishwa Vinay
IPC分类号： G06F17/30
CPC分类号： G06Q10/107
摘要： An outgoing message monitor is provided. In an embodiment, outgoing messages are monitored to detect potential errors and alerts may be triggered. Using information about a message such as an email, a first classifier classifies the email into an expected class and a second classifier classifies the email into an actual class. On the basis of a comparison of the expected and actual classes an alert may be triggered. In an embodiment, the second classifier uses information derived from text content of the email which may optionally be pre-processed. The first classifier, for example, uses other information about the email such as its intended recipients, information about the presence of attachments, information about whether the email is part of a thread and other information.
摘要翻译：提供一个传出的消息监视器。在一个实施例中，监视传出的消息以检测潜在的错误，并且可以触发警报。使用关于诸如电子邮件的消息的信息，第一分类器将电子邮件分类为预期类，并且第二分类器将电子邮件分类为实际类。根据预期和实际类别的比较，可能会触发警报。在一个实施例中，第二分类器使用从可能可预先处理的电子邮件的文本内容导出的信息。例如，第一个分类器使用关于电子邮件的其他信息，例如其预期收件人，关于附件的存在的信息，关于该电子邮件是否是线程的一部分的信息以及其他信息。

9. 发明申请

US20130110824A1 CONFIGURING A CUSTOM SEARCH RANKING MODEL 审中-公开
标题翻译：配置自定义搜索排名模型
公开(公告)号：US20130110824A1
公开(公告)日：2013-05-02
申请号：US13286752
申请日：2011-11-01
申请人： Pedro Dantas DeRose , Vishwa Vinay , Dmitriy Meyerzon
发明人： Pedro Dantas DeRose , Vishwa Vinay , Dmitriy Meyerzon
IPC分类号： G06F17/30
CPC分类号： G06F16/90335
摘要： A custom search ranking model is configured using a base ranking model that is combined with one or more additional ranking features. A base ranking model that has already been configured and tuned is selected that serves as the base ranking model for a custom search ranking model. The additional ranking feature(s) to combine with the base ranking model may be manually/automatically identified. For example, a feature selection algorithm may be used to automatically identify ranking features that are likely to have a positive impact on results provided by the base search ranking model. A user may also know of the ranking feature(s) that they would like to add to the base ranking model. The custom search ranking model may also be evaluated by automatically creating a set of virtual queries for evaluation.
摘要翻译：使用与一个或多个附加排名特征组合的基本排名模型来配置自定义搜索排名模型。选择已经配置和调整的基本排名模型，作为自定义搜索排名模型的基本排名模型。可以手动/自动识别与基本排名模型组合的附加排名特征。例如，可以使用特征选择算法来自动识别可能对由基本搜索排名模型提供的结果产生积极影响的排名特征。用户还可以知道他们想要添加到基本排名模型的排名特征。也可以通过自动创建一组用于评估的虚拟查询来评估自定义搜索排名模型。

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