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    Viral advertising for interactive services
    1.
    发明授权
    Viral advertising for interactive services 有权
    用于互动服务的病毒广告

    公开(公告)号：US07665107B2

    公开(公告)日：2010-02-16

    申请号：US11078555

    申请日：2005-03-11

    申请人： Joshua T. Goodman ,  Christopher A. Meek ,  Carl M. Kadie

    发明人： Joshua T. Goodman ,  Christopher A. Meek ,  Carl M. Kadie

    IPC分类号： 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。

    Storage abuse prevention
    2.
    发明授权
    Storage abuse prevention 有权
    存储滥用预防

    公开(公告)号：US07848501B2

    公开(公告)日：2010-12-07

    申请号：US11042245

    申请日：2005-01-25

    申请人： Joshua T. Goodman ,  Carl M. Kadie ,  Christopher A. Meek

    发明人： Joshua T. Goodman ,  Carl M. Kadie ,  Christopher A. Meek

    IPC分类号： H04M3/42 ,  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。

    Sampling method for estimating co-occurrence counts
    3.
    发明授权
    Sampling method for estimating co-occurrence counts 有权
    用于估计同现数量的抽样方法

    公开(公告)号：US07430550B2

    公开(公告)日：2008-09-30

    申请号：US11055952

    申请日：2005-02-11

    申请人： Christopher A. Meek ,  Carl M. Kadie

    发明人： Christopher A. Meek ,  Carl M. 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。

    Automatic data perspective generation for a target variable
    4.
    发明授权
    Automatic data perspective generation for a target variable 有权
    为目标变量生成自动数据透视图

    公开(公告)号：US07225200B2

    公开(公告)日：2007-05-29

    申请号：US10824108

    申请日：2004-04-14

    申请人： David M. Chickering ,  Bo Thiesson ,  Carl M. Kadie ,  David E. Heckerman ,  Christopher A. Meek ,  Allan Folting ,  Eric B. Vigesaa

    发明人： David M. Chickering ,  Bo Thiesson ,  Carl M. Kadie ,  David E. Heckerman ,  Christopher A. Meek ,  Allan Folting ,  Eric B. Vigesaa

    IPC分类号： G06F17/00 ,  G06F7/00

    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，可以规定复杂性和/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。

    Systems and methods for improving collaborative filtering
    5.
    发明授权
    Systems and methods for improving collaborative filtering 有权
    改进协同过滤的系统和方法

    公开(公告)号：US07630916B2

    公开(公告)日：2009-12-08

    申请号：US10603541

    申请日：2003-06-25

    申请人： Jesper B. Lind ,  Carl M. Kadie ,  Christopher A. Meek ,  David E. Heckerman

    发明人： Jesper B. Lind ,  Carl M. Kadie ,  Christopher A. Meek ,  David E. Heckerman

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/06 ,  G06Q30/0201 ,  G06Q30/0202 ,  Y10S707/99933 ,  Y10S707/99935

    摘要： The present invention provides collaborative filtering systems and methods employing statistical smoothing to provide quickly creatable models that can efficiently predict probability that a user likes an item and/or similarities between items. Smoothing is accomplished by utilizing statistical methods such as support cutoff, single and multiple prior on counts, and prior on measure of association and the like. By improving model-based collaborative filtering with such techniques, performance is increased with regard to product-to-product recommendations. The present invention also provides improvements over systems based on dependency nets (DN) in both areas of quality of recommendations and speed of model creation. It can also be complementary to DN to improve the value of an existing collaborative filtering system's overall efficiency. It is also employable with low frequency user preference data.

    摘要翻译： 本发明提供协同过滤系统和采用统计平滑的方法来提供可以有效地预测用户喜欢项目的概率和/或项目之间的相似性的快速可创建的模型。 平滑化是通过利用统计方法来实现的，例如支持截止，单次和多次之前的计数，以及之前关联度量等。 通过使用这些技术改进基于模型的协同过滤，关于产品对产品的建议，性能得到提高。 本发明还提供了在建模质量和模型创建速度的两个领域中基于依赖网络（DN）的系统的改进。 它也可以作为DN的补充，以提高现有协作过滤系统的整体效率的价值。 也可以使用低频用户偏好数据。

    Decision-theoretic web-crawling and predicting web-page change
    6.
    发明授权
    Decision-theoretic web-crawling and predicting web-page change 失效
    决策理论网络爬行和预测网页更改

    公开(公告)号：US07310632B2

    公开(公告)日：2007-12-18

    申请号：US10777365

    申请日：2004-02-12

    申请人： Christopher A. Meek ,  Carl M. Kadie

    发明人： Christopher A. Meek ,  Carl M. Kadie

    IPC分类号： G06F17/30

    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。