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    • 93. 发明授权
    • Adaptive junk message filtering system
    • 自适应垃圾邮件过滤系统
    • US07249162B2
    • 2007-07-24
    • US10374005
    • 2003-02-25
    • Robert L. RounthwaiteJoshua T. GoodmanDavid E. HeckermanJohn C. PlattCarl M. Kadie
    • Robert L. RounthwaiteJoshua T. GoodmanDavid E. HeckermanJohn C. PlattCarl M. Kadie
    • G06F15/16
    • G06Q10/107H04L51/12
    • The invention relates to a system for filtering messages—the system includes a seed filter having associated therewith a false positive rate and a false negative rate. A new filter is also provided for filtering the messages, the new filter is evaluated according to the false positive rate and the false negative rate of the seed filter, the data used to determine the false positive rate and the false negative rate of the seed filter are utilized to determine a new false positive rate and a new false negative rate of the new filter as a function of threshold. The new filter is employed in lieu of the seed filter if a threshold exists for the new filter such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the seed filter.
    • 本发明涉及一种用于过滤消息的系统 - 该系统包括具有与其相关联的假阳性率和假阴性率的种子滤波器。 还提供了一种过滤消息的新过滤器,根据种子过滤器的假阳性率和假阴性率评估新过滤器,用于确定种子过滤器的假阳性率和假阴性率的数据 用于确定新过滤器的新的假阳性率和新的假阴性率作为阈值的函数。 如果新的过滤器存在阈值,则使用新的过滤器来代替种子过滤器,使得新的假阳性率和新的假阴性率一起被认为优于种子过滤器的假阳性率和假阴性率。
    • 95. 发明授权
    • Trees of classifiers for detecting email spam
    • 用于检测电子邮件垃圾邮件的分类树
    • US07930353B2
    • 2011-04-19
    • US11193691
    • 2005-07-29
    • David M. ChickeringGeoffrey J. HultenRobert L. RounthwaiteChristopher A. MeekDavid E. HeckermanJoshua T. Goodman
    • David M. ChickeringGeoffrey J. HultenRobert L. RounthwaiteChristopher A. MeekDavid E. HeckermanJoshua T. Goodman
    • G06F15/16
    • H04L51/12
    • Decision trees populated with classifier models are leveraged to provide enhanced spam detection utilizing separate email classifiers for each feature of an email. This provides a higher probability of spam detection through tailoring of each classifier model to facilitate in more accurately determining spam on a feature-by-feature basis. Classifiers can be constructed based on linear models such as, for example, logistic-regression models and/or support vector machines (SVM) and the like. The classifiers can also be constructed based on decision trees. “Compound features” based on internal and/or external nodes of a decision tree can be utilized to provide linear classifier models as well. Smoothing of the spam detection results can be achieved by utilizing classifier models from other nodes within the decision tree if training data is sparse. This forms a base model for branches of a decision tree that may not have received substantial training data.
    • 利用分类器模型填充的决策树利用电子邮件的每个功能使用单独的电子邮件分类器来提供增强的垃圾邮件检测。 这通过定制每个分类器模型提供了更高的垃圾邮件检测的概率,以便于在逐个特征的基础上更准确地确定垃圾邮件。 分类器可以基于诸如逻辑回归模型和/或支持向量机(SVM)等线性模型来构建。 分类器也可以基于决策树构建。 基于决策树的内部和/或外部节点的“复合特征”也可以用于提供线性分类器模型。 垃圾邮件检测结果的平滑可以通过使用来自决策树内的其他节点的分类器模型来实现,如果训练数据是稀疏的。 这形成了可能没有接收到大量训练数据的决策树的分支的基本模型。
    • 98. 发明授权
    • Viral advertising for interactive services
    • 用于互动服务的病毒广告
    • US07665107B2
    • 2010-02-16
    • US11078555
    • 2005-03-11
    • Joshua T. GoodmanChristopher A. MeekCarl M. Kadie
    • Joshua T. GoodmanChristopher A. MeekCarl M. Kadie
    • H04N7/10
    • H04N7/173G06Q30/02H04N21/2547H04N21/4143H04N21/4788H04N21/812
    • The subject invention provides a unique system and method that facilitates propagating selected advertisements among users of interactive services. Interactive service users can be targeted for specific types of advertisements for particular products or services. When a user selects at least one advertisement for more detailed viewing, the advertisement can be distributed to or shared with one or more other users. These other users may be part of the original user's social network. Thus user-selected advertisements can be shared among users who are familiar with each other's current or future interests. In some cases, user-selected advertisements can replace system-selected advertisements. As a result, advertisers can benefit from increased exposure of and interest in their advertisements.
    • 本发明提供了一种有助于在交互式服务的用户之间传播所选广告的独特系统和方法。 互动服务用户可以针对特定产品或服务的特定类型的广告。 当用户选择至少一个广告以进行更详细的观看时,该广告可以被分发给一个或多个其他用户或与一个或多个其他用户共享。 这些其他用户可能是原始用户社交网络的一部分。 因此,用户选择的广告可以在熟悉彼此的当前或未来兴趣的用户之间共享。 在某些情况下,用户选择的广告可以替代系统选择的广告。 因此,广告商可以从广告的曝光和兴趣中获益。
    • 99. 发明授权
    • Intelligent quarantining for spam prevention
    • 智能隔离垃圾邮件防范
    • US07543053B2
    • 2009-06-02
    • US10779295
    • 2004-02-13
    • Joshua T. GoodmanRobert L. RounthwaiteGeoffrey J. HultenDerek Hazeur
    • Joshua T. GoodmanRobert L. RounthwaiteGeoffrey J. HultenDerek Hazeur
    • G06F15/173
    • G06Q10/107H04L51/12
    • The subject invention provides for an intelligent quarantining system and method that facilitates a more robust classification system in connection with spam prevention. The invention involves holding back some messages that appear to be questionable, suspicious, or untrustworthy from classification (as spam or good). In particular, the filter lacks information about these messages and thus classification is temporarily delayed. This provides more time for a filter update to arrive with a more accurate classification. The suspicious messages can be quarantined for a determined time period to allow more data to be collected regarding these messages. A number of factors can be employed to determine whether messages are more likely to be flagged for further analysis. User feedback by way of a feedback loop system can also be utilized to facilitate classification of the messages. After some time period, classification of the messages can be resumed.
    • 本发明提供了一种智能隔离系统和方法,其有助于与防止垃圾邮件相关联的更强大的分类系统。 本发明涉及阻止一些似乎是有疑问的,可疑的或不可分类的消息(作为垃圾邮件或好的)。 特别地,过滤器缺少关于这些消息的信息,因此分类被暂时延迟。 这样可以提供更多的时间来进行更新,以更精确的分类。 可疑邮件可以隔离一段确定的时间段,以便收集有关这些邮件的更多数据。 可以采用许多因素来确定消息是否更有可能标记为进一步分析。 通过反馈回路系统的用户反馈也可以用来促进消息的分类。 一段时间后,可以恢复消息分类。
    • 100. 发明授权
    • Obfuscation of spam filter
    • 垃圾邮件过滤器的混淆
    • US07519668B2
    • 2009-04-14
    • US10601034
    • 2003-06-20
    • Joshua T. GoodmanRobert L. RounthwaiteJohn C. Platt
    • Joshua T. GoodmanRobert L. RounthwaiteJohn C. Platt
    • G06F15/16
    • H04L51/12
    • The subject invention provides systems and methods that facilitate obfuscating a spam filtering system to hinder reverse engineering of the spam filters and/or to mitigate spammers from finding a message that consistently gets through the spam filters almost every time. The system includes a randomization component that randomizes a message score before the message is classified as spam or non-spam so as to obscure the functionality of the spam filter. Randomizing the message score can be accomplished in part by adding a random number or pseudo-random number to the message score before it is classified as spam or non-spam. The number added thereto can vary depending on at least one of several types of input such as time, user, message content, hash of message content, and hash of particularly important features of the message, for example. Alternatively, multiple spam filters can be deployed rather than a single best spam filter.
    • 主题发明提供了系统和方法,其有助于混淆垃圾邮件过滤系统以阻止垃圾邮件过滤器的反向工程和/或减轻垃圾邮件发送者几乎每次都能始终获得通过垃圾邮件过滤器的消息。 该系统包括随机化组件,其在消息被分类为垃圾邮件或非垃圾邮件之前随机化消息得分,以掩盖垃圾邮件过滤器的功能。 随机化消息分数可以部分地通过在消息分数被分类为垃圾邮件或非垃圾邮件之前向消息得分添加随机数或伪随机数来完成。 附加的数量可以根据例如时间,用户,消息内容,消息内容的散列以及消息的特别重要的特征的散列中的至少一种输入而变化。 或者,可以部署多个垃圾邮件过滤器,而不是一个最好的垃圾邮件过滤器。