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1. 发明申请

US20060195604A1 Storage abuse prevention 有权
标题翻译：存储滥用预防
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。

2. 发明申请

US20060179453A1 Image and other analysis for contextual ads 审中-公开
标题翻译：内容相关广告的图片和其他分析
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。

3. 发明申请

US20060218577A1 Viral advertising for interactive services 有权
标题翻译：用于互动服务的病毒广告
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。

4. 发明申请

US20060167747A1 Content-targeted advertising for interactive computer-based applications 审中-公开
标题翻译：针对基于互动计算机的应用的面向内容的广告
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。

5. 发明申请

US20050234960A1 Automatic data perspective generation for a target variable 有权
标题翻译：为目标变量生成自动数据透视图
公开(公告)号：US20050234960A1
公开(公告)日：2005-10-20
申请号：US10824108
申请日：2004-04-14
申请人： David Chickering , Bo Thiesson , Carl Kadie , David Heckerman , Christopher Meek , Allan Folting , Eric Vigesaa
发明人： David Chickering , Bo Thiesson , Carl Kadie , David Heckerman , Christopher Meek , Allan Folting , Eric Vigesaa
IPC分类号： G06F19/00 , G06F17/00 , G06F17/30 , G06N5/04
CPC分类号： G06F17/30592 , G06F2216/03 , Y10S707/99936 , Y10S707/99943
摘要： The present invention leverages machine learning techniques to provide automatic generation of conditioning variables for constructing a data perspective for a given target variable. The present invention determines and analyzes the best target variable predictors for a given target variable, employing them to facilitate the conveying of information about the target variable to a user. It automatically discretizes continuous and discrete variables utilized as target variable predictors to establish their granularity. In other instances of the present invention, a complexity and/or utility parameter can be specified to facilitate generation of the data perspective via analyzing a best target variable predictor versus the complexity of the conditioning variable(s) and/or utility. The present invention can also adjust the conditioning variables (i.e., target variable predictors) of the data perspective to provide an optimum view and/or accept control inputs from a user to guide/control the generation of the data perspective.
摘要翻译：本发明利用机器学习技术来提供用于为给定目标变量构建数据透视图的自动生成调节变量。本发明确定和分析给定目标变量的最佳目标变量预测变量，使用它们来促进向用户传达关于目标变量的信息。它自动离散化用作目标变量预测变量的连续和离散变量以确定其粒度。在本发明的其他实例中，可以规定复杂度和/或效用参数，以通过分析最佳目标变量预测器与调节变量和/或效用的复杂性来促进数据透视图的产生。本发明还可以调整数据透视图的调节变量（即，目标变量预测器），以提供最佳视图和/或接受来自用户的控制输入以指导/控制数据视角的产生。

6. 发明申请

US20050192936A1 Decision-theoretic web-crawling and predicting web-page change 失效
标题翻译：决策理论网络爬行和预测网页更改
公开(公告)号：US20050192936A1
公开(公告)日：2005-09-01
申请号：US10777365
申请日：2004-02-12
申请人： Christopher Meek , Carl Kadie
发明人： Christopher Meek , Carl Kadie
IPC分类号： G06F13/00 , G06F17/30 , G06F7/00
CPC分类号： G06F17/30864 , Y10S707/99932 , Y10S707/99933
摘要： Systems and methods are described that facilitate predictive web-crawling in a computer environment. Aspects of the invention provide for predictive, utility-based, and decision theoretic probability assessments of changes in subsets of web pages, enhancing web-crawling ability and ensuring that web page information is maintained in a fresh state. Additionally, the invention facilitates selective crawling of pages with a high probability of change.
摘要翻译：描述了在计算机环境中促进预测性网络爬行的系统和方法。本发明的方面提供了对网页子集的改变的预测，实用性和决策理论概率评估，增强了网络爬行能力，并确保网页信息保持在新鲜状态。此外，本发明有助于选择性地爬行具有高变化概率的页面。

7. 发明申请

US20080010353A1 ADAPTIVE JUNK MESSAGE FILTERING SYSTEM 有权
标题翻译：自适应垃圾信息过滤系统
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。

8. 发明申请

US20050257148A1 Intelligent autofill 有权
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.

9. 发明申请

US20050257134A1 Intelligent autofill 有权
标题翻译：智能自动填充
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。

10. 发明申请

US20060184572A1 Sampling method for estimating co-occurrence counts 有权
标题翻译：用于估计同现数量的抽样方法
公开(公告)号：US20060184572A1
公开(公告)日：2006-08-17
申请号：US11055952
申请日：2005-02-11
申请人： Christopher Meek , Carl Kadie
发明人： Christopher Meek , Carl Kadie
IPC分类号： G06F17/30
CPC分类号： G06F17/30536 , Y10S707/99931 , Y10S707/99933 , Y10S707/99945
摘要： The subject invention leverages data sampling techniques to provide an efficient means to determine co-occurrence count estimations for objects and features from relational data, simplifying measure-of-association determinations. By providing an efficient mechanism to estimate co-occurrence counts, instances of the subject invention can be incorporated directly into a database, increasing its versatility and performance for such uses as collaborative filtering recommendations. Other instances of the subject invention can be utilized for enhancing database query selectivity, optimizing query performance through employment of á priori co-occurrence counts.
摘要翻译：本发明利用数据采样技术来提供用于从关系数据确定对象和特征的同现计数估计的有效手段，从而简化关联度测定。通过提供有效的机制来估计同现数量，本发明的实例可以直接并入到数据库中，从而增加其对协作过滤建议等用途的多功能性和性能。本发明的其他实例可以用于增强数据库查询选择性，通过使用先验同时计数优化查询性能。

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