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：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：US20080010353A1

公开(公告)日：2008-01-10

申请号：US11779263

申请日：2007-07-17

申请人： Robert Rounthwaite ,  Joshua Goodman ,  David Heckerman ,  John Platt ,  Carl Kadie

发明人： Robert Rounthwaite ,  Joshua Goodman ,  David Heckerman ,  John Platt ,  Carl Kadie

IPC分类号： G06F15/16

CPC分类号： G06Q10/107 ,  H04L51/12

摘要： 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.

摘要翻译： 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。

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：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：US20070050253A1

公开(公告)日：2007-03-01

申请号：US11214485

申请日：2005-08-29

申请人： Jody Biggs ,  Christian Borgs ,  Jennifer Chayes ,  Uriel Feige ,  Kamal Jain ,  Ying Li ,  Christopher Meek ,  Tarek Najm ,  Joshua Goodman

发明人： Jody Biggs ,  Christian Borgs ,  Jennifer Chayes ,  Uriel Feige ,  Kamal Jain ,  Ying Li ,  Christopher Meek ,  Tarek Najm ,  Joshua Goodman

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0271

摘要： The user interfaces, methods and systems described herein facilitate user interaction with an ad space by conveying additional advertising content via a preview pane and facilitate automatically generating the content of the preview pane. By way of example, an electronic advertisement is conveyed to a user in an ad space provided by a third party, and a secondary advertisement generating component automatically generates at least part of the content of a secondary advertisement. The secondary advertisement provides content associated with the electronic advertisement and occurs upon receiving a user indication. A context acquiring component also may provide context information to the secondary advertisement generating component to automatically generate at least part of the content of the secondary advertisement. By way of another example, a user is provided with one or more ads from a plurality of different advertisers in a first ad space maintained by an ad space supplier. A user input identifying at least one of the ads from the plurality of different advertisers is received. A second ad space for a supplemental ad having supplemental advertising information relating to the at least one ad identified by the user input is provided. At least part of the supplemental advertising information supplied in the supplemental ad is automatically produced. Contextual information also may be employed to automatically produce at least part of the supplemental advertising information.

摘要翻译： 这里描述的用户界面，方法和系统通过经由预览窗格传送额外的广告内容来促进用户与广告空间的交互，并促进自动生成预览窗格的内容。 作为示例，在由第三方提供的广告空间中向用户传送电子广告，并且辅助广告生成部件自动生成次要广告的内容的至少一部分。 次要广告提供与电子广告相关联的内容，并且在接收到用户指示时发生。 上下文获取组件还可以向次要广告生成组件提供上下文信息以自动生成辅助广告的至少部分内容。 作为另一示例，在由广告空间供应商维护的第一广告空间中向用户提供来自多个不同广告商的一个或多个广告。 接收识别来自多个不同广告商的广告中的至少一个的用户输入。 提供了补充广告的第二广告空间，其具有与由用户输入标识的至少一个广告相关的补充广告信息。 补充广告中提供的补充广告信息的至少一部分将自动生成。 还可以使用上下文信息来自动产生补充广告信息的至少一部分。

公开(公告)号：US20050278253A1

公开(公告)日：2005-12-15

申请号：US10868116

申请日：2004-06-15

申请人： Christopher Meek ,  David Heckerman ,  Josh Benaloh ,  Marcus Peinado ,  Joshua Goodman

发明人： Christopher Meek ,  David Heckerman ,  Josh Benaloh ,  Marcus Peinado ,  Joshua Goodman

IPC分类号： G06F1/00 ,  G06F12/06 ,  G06F21/00 ,  H04L9/32 ,  G06F17/60

CPC分类号： G06F21/31

摘要： A method describes user interaction in combination with sending a send item from an application of a computing device to a recipient. The computing device has an attestation unit thereon for attesting to trustworthiness. The application facilitates a user in constructing the send item, and pre-determined indicia are monitored that can be employed to detect that the user is in fact expending effort to construct the send item. The attestation unit authenticates the application to impart trust thereto, and upon the user commanding the application to send, a send attestation is constructed to accompany the send item. The send attestation is based on the monitored indicia and the authentication of the application and thereby describes the user interaction. The constructed send attestation is packaged with the constructed send item and the package is sent to the recipient.

摘要翻译： 一种方法描述了将发送项目从计算设备的应用发送到接收者的用户交互。 计算设备在其上具有用于证明可信赖性的证明单元。 应用程序便于用户构建发送项目，并且监视可以用于检测用户事实上花费构建发送项目的努力的预定标记。 认证单元认证应用程序以赋予其信任，并且在用户命令应用发送时，构造发送认证以伴随发送项目。 发送证明是基于监控的标记和应用的认证，从而描述用户交互。 构建的发送证明与构建的发送项目一起打包，并将包发送给收件人。

公开(公告)号：US20070038705A1

公开(公告)日：2007-02-15

申请号：US11193691

申请日：2005-07-29

申请人： David Chickering ,  Geoffrey Hulten ,  Robert Rounthwaite ,  Christopher Meek ,  David Heckerman ,  Joshua Goodman

发明人： David Chickering ,  Geoffrey Hulten ,  Robert Rounthwaite ,  Christopher Meek ,  David Heckerman ,  Joshua Goodman

IPC分类号： G06F15/16

CPC分类号： H04L51/12

摘要： 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.

摘要翻译： 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。