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公开(公告)号：US08463827B2
公开(公告)日：2013-06-11
申请号：US12984539
申请日：2011-01-04
申请人： Vishwanath Tumkur Ramarao , Andrei Broder , Idan Szpektor , Edo Liberty , Yehuda Koren , Mark E. Risher , Yoelle Maarek Smadja
发明人： Vishwanath Tumkur Ramarao , Andrei Broder , Idan Szpektor , Edo Liberty , Yehuda Koren , Mark E. Risher , Yoelle Maarek Smadja
CPC分类号： G06Q10/00
摘要： Embodiments are directed towards identifying auto-folder tags for messages by using a combinational optimization approach of bi-clustering folder names and features of messages based on relationship strengths. The combinational optimization approach of bi-clustering, generally, groups a plurality of folder names and a plurality of features into one or more metafolders to optimize a cost. The cost is based on an aggregate of cut relationship strengths, where a cut results when a relationship folder name and feature are grouped in separate metafolders. Furthermore, the plurality of folder names and the plurality of features are obtained by monitoring actions of a plurality of users, where the folder names are user generated folder names and features are from a plurality of messages. The metafolders may be used to tag new user messages with an auto-folder tag.
摘要翻译： 实施例旨在通过使用基于关系强度的消息的双重聚类文件夹名称和特征的组合优化方法来识别消息的自动文件夹标签。 双组合的组合优化方法通常将多个文件夹名称和多个特征分组到一个或多个元文件夹中以优化成本。 成本基于剪切关系强度的总和，当关系文件夹名称和要素分组在单独的元文件夹中时，会产生裁剪。 此外，通过监视多个用户的动作来获得多个文件夹名称和多个特征，其中文件夹名称是用户生成的文件夹名称和特征来自多个消息。 元文件夹可用于使用自动文件夹标签来标记新的用户消息。
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公开(公告)号：US20120173533A1
公开(公告)日：2012-07-05
申请号：US12984539
申请日：2011-01-04
申请人： Vishwanath Tumkur Ramarao , Andrei Broder , Idan Szpektor , Edo Liberty , Yehuda Koren , Mark E. Risher , Yoelle Maarek Smadja
发明人： Vishwanath Tumkur Ramarao , Andrei Broder , Idan Szpektor , Edo Liberty , Yehuda Koren , Mark E. Risher , Yoelle Maarek Smadja
IPC分类号： G06F17/30
CPC分类号： G06Q10/00
摘要： Embodiments are directed towards identifying auto-folder tags for messages by using a combinational optimization approach of bi-clustering folder names and features of messages based on relationship strengths. The combinational optimization approach of bi-clustering, generally, groups a plurality of folder names and a plurality of features into one or more metafolders to optimize a cost. The cost is based on an aggregate of cut relationship strengths, where a cut results when a relationship folder name and feature are grouped in separate metafolders. Furthermore, the plurality of folder names and the plurality of features are obtained by monitoring actions of a plurality of users, where the folder names are user generated folder names and features are from a plurality of messages. The metafolders may be used to tag new user messages with an auto-folder tag.
摘要翻译： 实施例旨在通过使用基于关系强度的消息的双重聚类文件夹名称和特征的组合优化方法来识别消息的自动文件夹标签。 双组合的组合优化方法通常将多个文件夹名称和多个特征分组到一个或多个元文件夹中以优化成本。 成本基于剪切关系强度的总和，当关系文件夹名称和要素分组在单独的元文件夹中时，会产生裁剪。 此外，通过监视多个用户的动作来获得多个文件夹名称和多个特征，其中文件夹名称是用户生成的文件夹名称和特征来自多个消息。 元文件夹可用于使用自动文件夹标签来标记新的用户消息。
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公开(公告)号：US20110185024A1
公开(公告)日：2011-07-28
申请号：US12694173
申请日：2010-01-26
IPC分类号： G06F15/16
CPC分类号： G06Q10/107 , H04L51/08
摘要： Disclosed are apparatus and methods for annotating an electronic mail message and processing the annotated electronic mail message. More particularly, an electronic mail message may be generated and annotated such that the electronic mail message includes metadata identifying data provided in the electronic mail message. The electronic mail message may then be transmitted. When the annotated electronic mail message is received, at least a portion of the metadata may be obtained from the electronic mail message. At least a portion of the data in the electronic mail message may be identified using at least a portion of the metadata. At least a portion of the identified data in the electronic mail message may then be processed.
摘要翻译： 公开了用于注释电子邮件消息并处理注释的电子邮件消息的装置和方法。 更具体地，电子邮件消息可以被生成和注释，使得电子邮件消息包括识别电子邮件消息中提供的数据的元数据。 然后可以发送电子邮件消息。 当接收到带注释的电子邮件消息时，可以从电子邮件消息获得元数据的至少一部分。 可以使用元数据的至少一部分来识别电子邮件消息中的数据的至少一部分。 然后可以处理电子邮件消息中的所识别的数据的至少一部分。
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公开(公告)号：US08892661B2
公开(公告)日：2014-11-18
申请号：US12562792
申请日：2009-09-18
IPC分类号： G06F15/16 , G06F11/00 , G06F12/14 , G06F12/16 , G08B23/00 , G06F7/04 , G06F17/30 , H04N7/16 , H04L12/58 , H04L29/06
CPC分类号： H04L12/585 , H04L51/12 , H04L63/1425
摘要： The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
摘要翻译： 本发明提供至少三个过程，用于检测滥用于消息帐户以将大量未经请求的消息（例如垃圾邮件）发送到其他消息帐户的可能性的过程。 例如，可以处理在注册新消息帐户时提供的信息，以确定滥用该消息帐户的可能性。 此外，可以处理入站邮件以确定发送入站邮件的邮件帐户是否滥用该邮件帐户的使用。 此外，可以处理出站邮件，以确定尝试发送出站邮件的邮件帐户是否滥用该邮件帐户的使用。 这三个进程中的每一个可以分开地或彼此以任何组合的方式进行操作，以进一步提高迅速且准确地检测到滥用消息账户的可能性。
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公开(公告)号：US08868663B2
公开(公告)日：2014-10-21
申请号：US12561940
申请日：2009-09-17
申请人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
发明人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
CPC分类号： H04L12/585 , H04L51/12 , H04L63/1425
摘要： The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
摘要翻译： 本发明提供至少三个过程，用于检测滥用于消息帐户以将大量未经请求的消息（例如垃圾邮件）发送到其他消息帐户的可能性的过程。 例如，可以处理在注册新消息帐户时提供的信息，以确定滥用该消息帐户的可能性。 此外，可以处理入站邮件以确定发送入站邮件的邮件帐户是否滥用该邮件帐户的使用。 此外，可以处理出站邮件，以确定尝试发送出站邮件的邮件帐户是否滥用该邮件帐户的使用。 这三个进程中的每一个可以分开地或彼此以任何组合的方式进行操作，以进一步提高迅速且准确地检测到滥用消息账户的可能性。
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公开(公告)号：US08364766B2
公开(公告)日：2013-01-29
申请号：US12328723
申请日：2008-12-04
申请人： Lei Zheng , Sharat Narayan , Mark E. Risher , Stanley Ke Wei , Vishwanath Tumkur Ramarao , Anirban Kundu
发明人： Lei Zheng , Sharat Narayan , Mark E. Risher , Stanley Ke Wei , Vishwanath Tumkur Ramarao , Anirban Kundu
IPC分类号： G06F15/16
摘要： Embodiments are directed towards classifying messages as spam using a two phased approach. The first phase employs a statistical classifier to classify messages based on message content. The second phase targets specific message types to capture dynamic characteristics of the messages and identify spam messages using a token frequency based approach. A client component receives messages and sends them to the statistical classifier, which determines a probability that a message belongs to a particular type of class. The statistical classifier further provides other information about a message, including, a token list, and token thresholds. The message class, token list, and thresholds are provided to the second phase where a number of spam tokens in a given message for a given message class are determined. Based on the threshold, the client component then determines whether the message is spam or non-spam.
摘要翻译： 实施例针对使用两阶段方法将消息分类为垃圾邮件。 第一阶段采用统计分类器根据消息内容分类消息。 第二阶段针对特定的消息类型来捕获消息的动态特征，并使用基于令牌频率的方法识别垃圾邮件。 客户端组件接收消息并将其发送到统计分类器，该分类器确定消息属于特定类型的类的概率。 统计分类器还提供关于消息的其他信息，包括令牌列表和令牌阈值。 消息类别，令牌列表和阈值被提供给第二阶段，其中给定消息类别的给定消息中的多个垃圾邮件令牌被确定。 基于阈值，客户端组件然后确定消息是垃圾邮件还是非垃圾邮件。
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公开(公告)号：US20100077040A1
公开(公告)日：2010-03-25
申请号：US12561940
申请日：2009-09-17
申请人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
发明人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
IPC分类号： G06F15/16
CPC分类号： H04L12/585 , H04L51/12 , H04L63/1425
摘要： The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
摘要翻译： 本发明提供至少三个过程，用于检测滥用于消息帐户以将大量未经请求的消息（例如垃圾邮件）发送到其他消息帐户的可能性的过程。 例如，可以处理在注册新消息帐户时提供的信息，以确定滥用该消息帐户的可能性。 此外，可以处理入站邮件以确定发送入站邮件的邮件帐户是否滥用该邮件帐户的使用。 此外，可以处理出站邮件，以确定尝试发送出站邮件的邮件帐户是否滥用该邮件帐户的使用。 这三个进程中的每一个可以分开地或彼此以任何组合的方式进行操作，以进一步提高迅速且准确地检测到滥用消息账户的可能性。
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公开(公告)号：US08826450B2
公开(公告)日：2014-09-02
申请号：US12561875
申请日：2009-09-17
申请人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
发明人： Bhasker Hariharan , Naveen Jamal , Anirban Kundu , Vishwanath Tumkur Ramarao , Mark E. Risher , Xiaopeng Xi , Lei Zheng
CPC分类号： H04L12/585 , H04L51/12 , H04L63/1425
摘要： The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
摘要翻译： 本发明提供至少三个过程，用于检测滥用于消息帐户以将大量未经请求的消息（例如垃圾邮件）发送到其他消息帐户的可能性的过程。 例如，可以处理在注册新消息帐户时提供的信息，以确定滥用该消息帐户的可能性。 此外，可以处理入站邮件以确定发送入站邮件的邮件帐户是否滥用该邮件帐户的使用。 此外，可以处理出站邮件，以确定尝试发送出站邮件的邮件帐户是否滥用该邮件帐户的使用。 这三个进程中的每一个可以分开地或彼此以任何组合的方式进行操作，以进一步提高迅速且准确地检测到滥用消息账户的可能性。
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公开(公告)号：US20100145900A1
公开(公告)日：2010-06-10
申请号：US12328723
申请日：2008-12-04
申请人： Lei Zheng , Sharat Narayan , Mark E. Risher , Stanley Ke Wei , Vishwanath Tumkur Ramarao , Anirban Kundu
发明人： Lei Zheng , Sharat Narayan , Mark E. Risher , Stanley Ke Wei , Vishwanath Tumkur Ramarao , Anirban Kundu
摘要： Embodiments are directed towards classifying messages as spam using a two phased approach. The first phase employs a statistical classifier to classify messages based on message content. The second phase targets specific message types to capture dynamic characteristics of the messages and identify spam messages using a token frequency based approach. A client component receives messages and sends them to the statistical classifier, which determines a probability that a message belongs to a particular type of class. The statistical classifier further provides other information about a message, including, a token list, and token thresholds. The message class, token list, and thresholds are provided to the second phase where a number of spam tokens in a given message for a given message class are determined. Based on the threshold, the client component then determines whether the message is spam or non-spam.
摘要翻译： 实施例针对使用两阶段方法将消息分类为垃圾邮件。 第一阶段采用统计分类器根据消息内容分类消息。 第二阶段针对特定的消息类型来捕获消息的动态特征，并使用基于令牌频率的方法识别垃圾邮件。 客户端组件接收消息并将其发送到统计分类器，该分类器确定消息属于特定类型的类的概率。 统计分类器还提供关于消息的其他信息，包括令牌列表和令牌阈值。 消息类别，令牌列表和阈值被提供给第二阶段，其中给定消息类别的给定消息中的多个垃圾邮件令牌被确定。 基于阈值，客户端组件然后确定消息是垃圾邮件还是非垃圾邮件。
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公开(公告)号：US20100077043A1
公开(公告)日：2010-03-25
申请号：US12562792
申请日：2009-09-18
IPC分类号： G06F15/16
CPC分类号： H04L12/585 , H04L51/12 , H04L63/1425
摘要： The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
摘要翻译： 本发明提供至少三个过程，用于检测滥用于消息帐户以将大量未经请求的消息（例如垃圾邮件）发送到其他消息帐户的可能性的过程。 例如，可以处理在注册新消息帐户时提供的信息，以确定滥用该消息帐户的可能性。 此外，可以处理入站邮件以确定发送入站邮件的邮件帐户是否滥用该邮件帐户的使用。 此外，可以处理出站邮件，以确定尝试发送出站邮件的邮件帐户是否滥用该邮件帐户的使用。 这三个进程中的每一个可以分开地或彼此以任何组合的方式进行操作，以进一步提高迅速且准确地检测到滥用消息账户的可能性。
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