公开(公告)号：US20050015454A1

公开(公告)日：2005-01-20

申请号：US10601034

申请日：2003-06-20

申请人： Joshua Goodman ,  Robert Rounthwaite ,  John Platt

发明人： Joshua Goodman ,  Robert Rounthwaite ,  John Platt

IPC分类号： G06F13/00 ,  H04L12/58 ,  H04L12/66 ,  G06F15/16

CPC分类号： H04L51/12

摘要： 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.

摘要翻译： 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，而不是单个最佳垃圾邮件过滤器。

公开(公告)号：US20050022008A1

公开(公告)日：2005-01-27

申请号：US10454168

申请日：2003-06-04

申请人： Joshua Goodman ,  Robert Rounthwaite ,  Daniel Gwozdz ,  John Mehr ,  Nathan Howell ,  Micah Rupersburg ,  Bryan Starbuck

发明人： Joshua Goodman ,  Robert Rounthwaite ,  Daniel Gwozdz ,  John Mehr ,  Nathan Howell ,  Micah Rupersburg ,  Bryan Starbuck

IPC分类号： G06F13/00 ,  G06F12/00 ,  G06F17/00 ,  G06Q10/10 ,  G06Q99/00 ,  H04L12/58 ,  H04L29/06 ,  H04L9/00

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。

公开(公告)号：US20050257148A1

公开(公告)日：2005-11-17

申请号：US10874955

申请日：2004-06-23

申请人： Joshua Goodman ,  Carl Kadie ,  David Chickering ,  Donald Bradford ,  Dane Glasgow

发明人： Joshua Goodman ,  Carl Kadie ,  David Chickering ,  Donald Bradford ,  Dane Glasgow

IPC分类号： G06F15/00 ,  G06F17/24 ,  G06F17/30

CPC分类号： G06F17/243 ,  Y10S707/99931 ,  Y10S707/99945

摘要： The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.

公开(公告)号：US20060218577A1

公开(公告)日：2006-09-28

申请号：US11078555

申请日：2005-03-11

申请人： Joshua Goodman ,  Christopher Meek ,  Carl Kadie

发明人： Joshua Goodman ,  Christopher Meek ,  Carl Kadie

IPC分类号： H04N7/025 ,  H04N7/10

CPC分类号： H04N7/173 ,  G06Q30/02 ,  H04N21/2547 ,  H04N21/4143 ,  H04N21/4788 ,  H04N21/812

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20060167747A1

公开(公告)日：2006-07-27

申请号：US11042246

申请日：2005-01-25

申请人： Joshua Goodman ,  Christopher Meek ,  Carl Kadie

发明人： Joshua Goodman ,  Christopher Meek ,  Carl Kadie

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0261 ,  G06Q30/0264 ,  G06Q30/0269

摘要： The subject invention provides a unique system and method that facilitates providing content-targeted advertising to a user based at least in part on the content of a user action. The user action can be performed in connection with an outbound messaging system, a real-time messaging system such as a chat or instant messaging, a game environment, and/or calendaring system. The system and method analyze at the least the content of an outbound message and then present a content-targeted advertisement based on the content of the message. The same can be done with respect to calendar entries. However, outbound and inbound calendar entries, invitations, and responses to invitations can be analyzed for content and have content-targeted advertisements presented to the sender or receiver of such items. User privacy can be maintained and/or increased by allowing a user to opt out of content-targeting advertisements. Reasons for being targeted can also be provided to the user.

摘要翻译： 本发明提供了一种独特的系统和方法，其有助于至少部分地基于用户动作的内容向用户提供针对内容的广告。 可以结合出站消息系统，诸如聊天或即时消息的实时消息系统，游戏环境和/或日历系统来执行用户动作。 系统和方法至少分析出站消息的内容，然后基于消息的内容呈现基于内容的广告。 对于日历条目也可以这样做。 然而，可以分析出站和入站日历条目，邀请和对邀请的响应，并针对内容进行分析，并向这些项目的发件人或接收方提供内容定向广告。 通过允许用户选择停用内容定位广告，可以维护和/或增加用户隐私。 也可以向用户提供目标的原因。

公开(公告)号：US20060271425A1

公开(公告)日：2006-11-30

申请号：US11139750

申请日：2005-05-27

申请人： Joshua Goodman ,  Christopher Meek

发明人： Joshua Goodman ,  Christopher Meek

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0261 ,  G06Q30/0269 ,  G06Q30/0273

摘要： The subject invention provides a unique system and method that facilitates displaying content-targeted advertisements within applications running on an end-user or client computer. To mitigate privacy concerns, one or more advertisements can be stored on a client computer. At least one advertisement can be displayed on the client based at least in part on the context relating to the user's interaction with the client. By doing so, the user's private data or content is not passed to the server—meanwhile content-targeted advertising processing can be run on the user's content to determine which advertisements to display. Different forms of advertisements can be displayed to the user when the client is offline or online to facilitate optimizing use interaction with the advertisements and billing capabilities. To ensure that advertisements are displayed when content is displayed on a client, various encryption and decryption techniques can be employed to mitigate tampering of advertisement display code.

摘要翻译： 本发明提供了一种独特的系统和方法，其有助于在最终用户或客户端计算机上运行的应用内显示面向内容的广告。 为了减轻隐私问题，一个或多个广告可以存储在客户端计算机上。 至少一部分广告可以至少部分地基于与用户与客户端的交互相关的上下文来显示在客户端上。 通过这样做，用户的私有数据或内容不被传递到服务器 - 同时可以在用户的​​内容上运行针对内容的广告处理，以确定要显示的广告。 当客户离线或在线时，可以向用户显示不同形式的广告，以便于优化与广告的使用交互和计费能力。 为了确保在客户端上显示内容时显示广告，可以采用各种加密和解密技术来减轻广告显示代码的篡改。

公开(公告)号：US20060195604A1

公开(公告)日：2006-08-31

申请号：US11042245

申请日：2005-01-25

申请人： Joshua Goodman ,  Carl Kadie ,  Christopher Meek

发明人： Joshua Goodman ,  Carl Kadie ,  Christopher Meek

IPC分类号： G06F15/173 ,  G06F15/16

CPC分类号： G06F21/606 ,  G06F21/316 ,  G06F21/552 ,  G06F2221/2135 ,  H04L51/00 ,  H04L63/1408

摘要： The subject invention provides a unique system and method that facilitates mitigation of storage abuse in connection with free storage provided by messaging service providers such as email, instant messaging, chat, blogging, and/or web hosting service providers. The system and method involve measuring the outbound volume of stored data. When the volume satisfies a threshold, a cost can be imposed on the account to mitigate the suspicious or abusive activity. Other factors can be considered as well that can modify the cost imposed on the cost such as by increasing the cost. Machine learning can be employed as well to predict a level or degree of suspicion. The various factors or the text of the messages can be used as input for the machine learning system.

摘要翻译： 本发明提供了一种独特的系统和方法，其有助于缓解由诸如电子邮件，即时消息，聊天，博客和/或网络托管服务提供商之类的消息传递服务提供商提供的免费存储的存储滥用。 系统和方法涉及测量存储数据的出站量。 当卷满足阈值时，可以对该帐户施加成本以减轻可疑或滥用活动。 也可以考虑其他因素，从而可以通过增加成本来改变对成本的成本。 也可以使用机器学习来预测一定程度的怀疑。 消息的各种因素或文本可以用作机器学习系统的输入。

公开(公告)号：US20060179453A1

公开(公告)日：2006-08-10

申请号：US11052394

申请日：2005-02-07

申请人： Carl Kadie ,  Joshua Goodman ,  Christopher Meek

发明人： Carl Kadie ,  Joshua Goodman ,  Christopher Meek

IPC分类号： H04N7/10 ,  G06F13/00 ,  H04N7/025 ,  G06F3/00

CPC分类号： H04N7/163 ,  G06Q30/02 ,  H04N21/4331 ,  H04N21/44008 ,  H04N21/44016 ,  H04N21/84 ,  H04N21/8405

摘要： The subject invention provides a unique system and method that facilitates providing contextual advertisements based on one or more identified terms extracted from a non-text object such as an image, video, and/or audio object. Terms can also be identified and extracted from metadata associated with or other data derived from text objects such as email messages and attached text documents. One or more recognition techniques can be employed to identify data found in the non-text object (including the metadata or any other data derived therefrom) and data found in the metadata associated with the text object. Once the identified terms are analyzed, an appropriate contextual advertisement can be presented to the user. If the content of the non-text or text object is deemed of a negative nature, no contextual advertisement is provided.

摘要翻译： 本发明提供了一种独特的系统和方法，其有助于基于从诸如图像，视频和/或音频对象的非文本对象提取的一个或多个所标识的项来提供上下文广告。 还可以从与文本对象（例如电子邮件消息和附加文本文档）导出的其他数据相关联的元数据中识别和提取术语。 可以使用一种或多种识别技术来识别在非文本对象（包括元数据或从其导出的任何其他数据）中发现的数据以及与文本对象相关联的元数据中找到的数据。 一旦分析了所识别的术语，就可以向用户呈现适当的上下文广告。 如果非文本或文本对象的内容被认为是消极性质，则不提供上下文广告。

公开(公告)号：US20050257134A1

公开(公告)日：2005-11-17

申请号：US10844540

申请日：2004-05-12

申请人： Joshua Goodman ,  Carl Kadie ,  David Chickering ,  Donald Bradford ,  Dane Glasgow

发明人： Joshua Goodman ,  Carl Kadie ,  David Chickering ,  Donald Bradford ,  Dane Glasgow

IPC分类号： G06F15/00 ,  G06F17/24 ,  G06F17/30 ,  G06F7/00 ,  G06F15/18 ,  G06F17/00 ,  G06F17/21

CPC分类号： G06F17/243 ,  Y10S707/99931 ,  Y10S707/99945

摘要： The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.

摘要翻译： 本发明提供了一种独特的系统和方法，该系统和方法可以采用机器学习技术来自动填充不同数量的web形式的一个或多个字段。 特别地，一个或多个仪器化工具可以收集表单字段的输入或条目。 机器学习可用于了解与哪些字段或类型的字段对应的数据。 输入可以发送到中央存储库，也可以汇总其他数据库。 该输入可以提供给机器学习系统以学习如何预测期望的输出。 或者或另外，学习可以部分地通过观察条目执行，然后相应地适应自动填充组件。 此外，可以采用数据库字段和约束的许多特征来促进数据库条目的分配以形成值 - 特别是当自动填充系统之前从未看到Web形式时。

公开(公告)号：US06573844B1

公开(公告)日：2003-06-03

申请号：US09484079

申请日：2000-01-18

申请人： Daniel Venolia ,  Joshua Goodman ,  Xuedong Huang ,  Hsiao-Wuen Hon

发明人： Daniel Venolia ,  Joshua Goodman ,  Xuedong Huang ,  Hsiao-Wuen Hon

IPC分类号： H03M122

CPC分类号： G06F3/0237 ,  G06F3/04886

摘要： Predictive keyboards, such as predictive soft keyboards, are disclosed. In one embodiment, a computer-implemented method predicts at least one key to be entered next within a sequence of keys. The method displays a soft keyboard where the predicted keys are displayed on the soft keyboard differently than the other keys on the keyboard. For example, the predicted keys may be larger in size on the soft keyboard as compared to the other keys. This makes the predicted keys more easily typed by a user as compared to the other keys.

摘要翻译： 公开了预测键盘，例如预测软键盘。 在一个实施例中，计算机实现的方法预测将在键序列中接下来要输入的至少一个键。 该方法显示软键盘，其中预测键在软键盘上显示与键盘上的其他键不同。 例如，与其他键相比，预测键在软键盘上的尺寸可能更大。 这使得与其他键相比，用户更容易地键入预测键。