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1. 发明授权

US07664740B2 Automatically displaying keywords and other supplemental information 有权
标题翻译：自动显示关键字和其他补充信息
公开(公告)号：US07664740B2
公开(公告)日：2010-02-16
申请号：US11426509
申请日：2006-06-26
申请人： Bryan T Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M Anand , Joshua T. Goodman , Alexei V Bocharov
发明人： Bryan T Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M Anand , Joshua T. Goodman , Alexei V Bocharov
IPC分类号： G06F7/00
CPC分类号： G06F17/30648 , Y10S707/99933
摘要： Various embodiments can utilize information that is displayed for a user to automatically generate a list of keywords and use that list as a means to display supplemental information that is relevant to the keywords. In at least some embodiments, the displayed information is analyzed using an extraction algorithm to identify words or, more generally, character strings of interest. If these words or character strings of interest are determined to constitute relevant search terms or “keywords”, then a special user interface portion can be used to display this supplemental information along with the information that is already displayed for the user. This supplemental information can include the search terms themselves, ads that pertain to the search terms, and/or search results that have been ascertained from a web search engine.
摘要翻译：各种实施例可以利用为用户显示的信息来自动生成关键字列表，并使用该列表作为显示与关键字相关的补充信息的手段。在至少一些实施例中，使用提取算法来分析所显示的信息以识别字词，或者更一般地，识别感兴趣的字符串。如果确定这些关键词或字符串构成相关搜索词或“关键字”，则可以使用特殊用户界面部分来显示该补充信息以及已经为用户显示的信息。该补充信息可以包括搜索词本身，与搜索词相关的广告，和/或已从网页搜索引擎确定的搜索结果。

2. 发明申请

US20070299815A1 Automatically Displaying Keywords and Other Supplemental Information 有权
标题翻译：自动显示关键字和其他补充信息
公开(公告)号：US20070299815A1
公开(公告)日：2007-12-27
申请号：US11426509
申请日：2006-06-26
申请人： Bryan T. Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M. Anand , Joshua T. Goodman , Alexei V. Bocharov
发明人： Bryan T. Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M. Anand , Joshua T. Goodman , Alexei V. Bocharov
IPC分类号： G06F17/30
CPC分类号： G06F17/30648 , Y10S707/99933
摘要： Various embodiments can utilize information that is displayed for a user to automatically generate a list of keywords and use that list as a means to display supplemental information that is relevant to the keywords. In at least some embodiments, the displayed information is analyzed using an extraction algorithm to identify words or, more generally, character strings of interest. If these words or character strings of interest are determined to constitute relevant search terms or “keywords”, then a special user interface portion can be used to display this supplemental information along with the information that is already displayed for the user. This supplemental information can include the search terms themselves, ads that pertain to the search terms, and/or search results that have been ascertained from a web search engine.
摘要翻译：各种实施例可以利用为用户显示的信息来自动生成关键字列表，并使用该列表作为显示与关键字相关的补充信息的手段。在至少一些实施例中，使用提取算法来分析所显示的信息以识别字词，或者更一般地，识别感兴趣的字符串。如果确定这些关键词或字符串构成相关搜索词或“关键字”，则可以使用特殊用户界面部分来显示该补充信息以及已经为用户显示的信息。该补充信息可以包括搜索词本身，与搜索词相关的广告，和/或已从网页搜索引擎确定的搜索结果。

3. 发明授权

US08224905B2 Spam filtration utilizing sender activity data 有权
标题翻译：垃圾邮件过滤利用发送者活动数据
公开(公告)号：US08224905B2
公开(公告)日：2012-07-17
申请号：US11567632
申请日：2006-12-06
申请人： Alexei V. Bocharov , Joshua T. Goodman
发明人： Alexei V. Bocharov , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： G06Q10/107
摘要： Spam is identified by computing sender reputation derived from historical activity data across counts for various categories. A spam filter or machine learning system can be trained utilizing pre-categorized data in conjunction with activity data associated with a sender aggregated across at least one time period. This sender activity filter can be employed alone or in combination with other filters to facilitate classification of messages as spam or non-spam.
摘要翻译：通过计算来自各种类别的历史活动数据的发送者信誉来识别垃圾邮件。可以使用预先分类的数据结合在至少一个时间段内聚集的发送者的活动数据来训练垃圾邮件过滤器或机器学习系统。该发件人活动过滤器可以单独使用或与其他过滤器组合使用，以便于将邮件分类为垃圾邮件或非垃圾邮件。

4. 发明申请

US20080140781A1 SPAM FILTRATION UTILIZING SENDER ACTIVITY DATA 有权
标题翻译：垃圾邮件过滤利用SENDER活动数据
公开(公告)号：US20080140781A1
公开(公告)日：2008-06-12
申请号：US11567632
申请日：2006-12-06
申请人： Alexei V. Bocharov , Joshua T. Goodman
发明人： Alexei V. Bocharov , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： G06Q10/107
摘要： Spam is identified by computing sender reputation derived from historical activity data across counts for various categories. A spam filter or machine learning system can be trained utilizing pre-categorized data in conjunction with activity data associated with a sender aggregated across at least one time period. This sender activity filter can be employed alone or in combination with other filters to facilitate classification of messages as spam or non-spam.
摘要翻译：通过计算来自各种类别的历史活动数据的发送者信誉来识别垃圾邮件。可以使用预先分类的数据结合在至少一个时间段内聚集的发送者的活动数据来训练垃圾邮件过滤器或机器学习系统。该发件人活动过滤器可以单独使用或与其他过滤器组合使用，以便于将邮件分类为垃圾邮件或非垃圾邮件。

5. 发明授权

US07665131B2 Origination/destination features and lists for spam prevention 有权
标题翻译：起始/目的地功能和垃圾邮件防范列表
公开(公告)号：US07665131B2
公开(公告)日：2010-02-16
申请号：US11621363
申请日：2007-01-09
申请人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
发明人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
IPC分类号： H04L29/06
CPC分类号： H04L51/12 , G06Q10/107
摘要： The present invention involves a system and method that facilitate extracting data from messages for spam filtering. The extracted data can be in the form of features, which can be employed in connection with machine learning systems to build improved filters. Data associated with origination information as well as other information embedded in the body of the message that allows a recipient of the message to contact and/or respond to the sender of the message can be extracted as features. The features, or a subset thereof, can be normalized and/or deobfuscated prior to being employed as features of the machine learning systems. The (deobfuscated) features can be employed to populate a plurality of feature lists that facilitate spam detection and prevention. Exemplary features include an email address, an IP address, a URL, an embedded image pointing to a URL, and/or portions thereof.
摘要翻译：本发明涉及一种便于从垃圾邮件过滤的消息中提取数据的系统和方法。提取的数据可以是特征的形式，其可以与机器学习系统结合使用以构建改进的过滤器。可以提取与发起信息相关联的数据以及嵌入在消息正文中的允许消息的接收者联系和/或响应消息的发送者的其他信息作为特征。特征或其子集可以在被用作机器学习系统的特征之前被归一化和/或去混淆。可以使用（去模糊化）功能来填充便于垃圾邮件检测和预防的多个特征列表。示例性特征包括电子邮件地址，IP地址，URL，指向URL的嵌入图像和/或其部分。

6. 发明授权

US08250159B2 Message rendering for identification of content features 有权
标题翻译：消息渲染用于识别内容功能
公开(公告)号：US08250159B2
公开(公告)日：2012-08-21
申请号：US12359126
申请日：2009-01-23
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
IPC分类号： G06F15/16 , G06F12/16
CPC分类号： G06Q10/107 , H04L51/12
摘要： Architecture for detecting and removing obfuscating clutter from the subject and/or body of a message, e.g., e-mail, prior to filtering of the message, to identify junk messages commonly referred to as spam. The technique utilizes the powerful features built into an HTML rendering engine to strip the HTML instructions for all non-substantive aspects of the message. Pre-processing includes pre-rendering of the message into a final format, which final format is that which is displayed by the rendering engine to the user. The final format message is then converted to a text-only format to remove graphics, color, non-text decoration, and spacing that cannot be rendered as ASCII-style or Unicode-style characters. The result is essentially to reduce each message to its common denominator essentials so that the junk mail filter can view each message on an equal basis.
摘要翻译：用于在过滤消息之前检测和去除来自主体和/或消息主体（例如电子邮件）的模糊杂波的体系结构，以识别通常被称为垃圾邮件的垃圾邮件。该技术利用内置于HTML呈现引擎中的强大功能来剥离消息的所有非实质性方面的HTML指令。预处理包括将消息预渲染成最终格式，最终格式是由呈现引擎向用户显示的最终格式。最终格式化消息然后转换为纯文本格式以删除不能以ASCII样式或Unicode风格字符呈现的图形，颜色，非文本装饰和间距。结果基本上是将每个消息减少到其公分要素，以便垃圾邮件过滤器可以在平等的基础上查看每个消息。

7. 发明授权

US08533270B2 Advanced spam detection techniques 有权
标题翻译：高级垃圾邮件检测技术
公开(公告)号：US08533270B2
公开(公告)日：2013-09-10
申请号：US10601741
申请日：2003-06-23
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman , Eliot C. Gillum , Nathan D. Howell , Kenneth R. Aldinger
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman , Eliot C. Gillum , Nathan D. Howell , Kenneth R. Aldinger
IPC分类号： G06F15/16
CPC分类号： G06F17/3061 , G06Q10/107 , H04L51/12
摘要： The subject invention provides for an advanced and robust system and method that facilitates detecting spam. The system and method include components as well as other operations which enhance or promote finding characteristics that are difficult or the spammer to avoid and finding characteristics in non-spam that are difficult for spammers to duplicate. Exemplary characteristics include examining origination features in pairs, analyzing character and/or number sequences, strings, and sub-strings, detecting various entropy levels of one or more character sequences, strings and/or sub-strings as well as analyzing message and/or feature sizes.
摘要翻译：本发明提供了一种便于检测垃圾邮件的先进且健壮的系统和方法。该系统和方法包括增强或促进发现难以避免的特征或垃圾邮件发送者避免并且发现垃圾邮件发送者难以复制的非垃圾邮件特性的其他操作。示例性特征包括成对检查起始特征，分析字符和/或数字序列，字符串和子串，检测一个或多个字符序列，字符串和/或子串的各种熵级，以及分析消息和/或特征尺寸。

8. 发明授权

US07483947B2 Message rendering for identification of content features 有权
标题翻译：消息渲染用于识别内容功能
公开(公告)号：US07483947B2
公开(公告)日：2009-01-27
申请号：US10428649
申请日：2003-05-02
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： G06Q10/107 , H04L51/12
摘要： Architecture for detecting and removing obfuscating clutter from the subject and/or body of a message, e.g., e-mail, prior to filtering of the message, to identify junk messages commonly referred to as spam. The technique utilizes the powerful features built into an HTML rendering engine to strip the HTML instructions for all non-substantive aspects of the message. Pre-processing includes pre-rendering of the message into a final format, which final format is that which is displayed by the rendering engine to the user. The final format message is then converted to a text-only format to remove graphics, color, non-text decoration, and spacing that cannot be rendered as ASCII-style or Unicode-style characters. The result is essentially to reduce each message to its common denominator essentials so that the junk mail filter can view each message on an equal basis.
摘要翻译：用于在过滤消息之前检测和去除来自主体和/或消息主体（例如电子邮件）的模糊杂波的体系结构，以识别通常被称为垃圾邮件的垃圾邮件。该技术利用内置于HTML呈现引擎中的强大功能来剥离消息的所有非实质性方面的HTML指令。预处理包括将消息预渲染成最终格式，最终格式是由呈现引擎向用户显示的最终格式。最终格式化消息然后转换为纯文本格式以删除不能以ASCII样式或Unicode风格字符呈现的图形，颜色，非文本装饰和间距。结果基本上是将每个消息减少到其公分要素，以便垃圾邮件过滤器可以在平等的基础上查看每个消息。

9. 发明申请

US20100088380A1 MESSAGE RENDERING FOR IDENTIFICATION OF CONTENT FEATURES 有权
标题翻译：用于识别内容特征的消息呈现
公开(公告)号：US20100088380A1
公开(公告)日：2010-04-08
申请号：US12359126
申请日：2009-01-23
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman
IPC分类号： G06F21/00 , G06F15/16
CPC分类号： G06Q10/107 , H04L51/12
摘要： Architecture for detecting and removing obfuscating clutter from the subject and/or body of a message, e.g., e-mail, prior to filtering of the message, to identify junk messages commonly referred to as spam. The technique utilizes the powerful features built into an HTML rendering engine to strip the HTML instructions for all non-substantive aspects of the message. Pre-processing includes pre-rendering of the message into a final format, which final format is that which is displayed by the rendering engine to the user. The final format message is then converted to a text-only format to remove graphics, color, non-text decoration, and spacing that cannot be rendered as ASCII-style or Unicode-style characters. The result is essentially to reduce each message to its common denominator essentials so that the junk mail filter can view each message on an equal basis.
摘要翻译：用于在过滤消息之前检测和去除来自主体和/或消息主体（例如电子邮件）的模糊杂波的体系结构，以识别通常被称为垃圾邮件的垃圾邮件。该技术利用内置于HTML呈现引擎中的强大功能来剥离消息的所有非实质性方面的HTML指令。预处理包括将消息预渲染成最终格式，最终格式是由呈现引擎向用户显示的最终格式。最终格式化消息然后转换为纯文本格式以删除不能以ASCII样式或Unicode风格字符呈现的图形，颜色，非文本装饰和间距。结果基本上是将每个消息减少到其公分要素，以便垃圾邮件过滤器可以在平等的基础上查看每个消息。

10. 发明授权

US07272853B2 Origination/destination features and lists for spam prevention 有权
标题翻译：起始/目的地功能和垃圾邮件防范列表
公开(公告)号：US07272853B2
公开(公告)日：2007-09-18
申请号：US10454168
申请日：2003-06-04
申请人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
发明人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
IPC分类号： H04L29/00
CPC分类号： H04L51/12 , G06Q10/107
摘要： The present invention involves a system and method that facilitate extracting data from messages for spam filtering. The extracted data can be in the form of features, which can be employed in connection with machine learning systems to build improved filters. Data associated with origination information as well as other information embedded in the body of the message that allows a recipient of the message to contact and/or respond to the sender of the message call be extracted as features. The features, or a subset thereof, can be normalized and/or deobfuscated prior to being employed as features of the machine learning systems. The (deobfuscated) features can be employed to populate a plurality of feature lists that facilitate spam detection and prevention. Exemplary features include an email address, an IP address, a URL, an embedded image pointing to a URL, and/or portions thereof.
摘要翻译：本发明涉及一种便于从垃圾邮件过滤的消息中提取数据的系统和方法。提取的数据可以是特征的形式，其可以与机器学习系统结合使用以构建改进的过滤器。与源信息相关联的数据以及允许消息的接收者联系和/或响应消息呼叫的发送者的消息正文中嵌入的其他信息被提取为特征。特征或其子集可以在被用作机器学习系统的特征之前被归一化和/或去混淆。可以使用（去模糊化）功能来填充便于垃圾邮件检测和预防的多个特征列表。示例性特征包括电子邮件地址，IP地址，URL，指向URL的嵌入图像和/或其部分。

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