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1. 发明授权

US07665107B2 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：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。

2. 发明授权

US07430550B2 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：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。

3. 发明授权

US07225200B2 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：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。

4. 发明授权

US07848501B2 Storage abuse prevention 有权
标题翻译：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。

5. 发明授权

US07630916B2 Systems and methods for improving collaborative filtering 有权
标题翻译：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。

6. 发明授权

US07310632B2 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：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。

7. 发明授权

US07747719B1 Methods, tools, and interfaces for the dynamic assignment of people to groups to enable enhanced communication and collaboration 有权
标题翻译：方法，工具和界面，用于将人员动态分配给组，以实现增强的通信和协作
公开(公告)号：US07747719B1
公开(公告)日：2010-06-29
申请号：US11047066
申请日：2005-01-31
申请人： Eric J. Horvitz , Carl M. Kadie , Sean Blagsvedt
发明人： Eric J. Horvitz , Carl M. Kadie , Sean Blagsvedt
IPC分类号： G06F15/173
CPC分类号： G06Q10/10
摘要： A system for optimizing the value of communications between communicating parties is provided. The system includes a communication group manager that facilitates specifying policies, preferences and/or automated analysis of ideal communication channels, routing and/or scheduling in terms of communicating party groups that can be pre-populated clusters of communicating parties, assembled based on relationships (e.g., organizational), and/or assembled based on satisfying inclusion criteria (e.g., age, location, competence, communication history, meeting history). The communication group manager maps communicating parties into predefined and/or dynamically created groups that facilitate specifying and/or automatically computing ideal communication actions like selecting a channel, displaying lists of potential channels sorted by communicating party preferences, and (re)scheduling communications to different channels and/or times. Ideal communication actions can be identified by maximizing a measure of expected communication utility, where groups provide simplifying abstractions to facilitate assessment of outcome utilities. The method can employ representations of preferences of the contactor and contactee that allow for group-specific preference considerations that weight differentially contactor and/or contactee preference considerations in communication action optimization. The system includes a group wise communication coordinator that identifies optimal group communication sets. The method facilitates a recipient communicating with a group member where the communication utility is optimized based on a preference, and a context associated with the group to which the member belongs.
摘要翻译：提供了一种用于优化通信方之间的通信价值的系统。该系统包括通信组管理器，其有助于指定关于理想通信信道的策略，偏好和/或自动分析，根据可以是基于关系组装的可以是预先填充的通信方集群的通信方群组的路由和/或调度（（例如，组织），和/或基于满足纳入标准（如年龄，位置，能力，沟通历史，会议历史）组合。通信组管理器将通信方映射到预定义和/或动态创建的组中，其有助于指定和/或自动计算理想的通信动作，例如选择频道，显示由通信方偏好分类的潜在信道的列表，以及（重新）将通信调度到不同的渠道和/或时间。可以通过最大化预期通信效用的度量来确定理想的通信动作，其中组提供简化的抽象以便于评估结果实用程序。该方法可以采用允许在通信动作优化中对差异接触者和/或接触者偏好考虑进行加权的组特定优先考虑的接触器和被接收者的偏好的表示。该系统包括识别最佳组通信集的组智能通信协调器。该方法便于接收者基于优先级和与该成员所属的组相关联的上下文与通信实用程序优化的组成员通信。

8. 发明授权

US07644144B1 Methods, tools, and interfaces for the dynamic assignment of people to groups to enable enhanced communication and collaboration 有权
公开(公告)号：US07644144B1
公开(公告)日：2010-01-05
申请号：US10036566
申请日：2001-12-21
申请人： Eric J. Horvitz , Carl M. Kadie , Sean Blagsvedt
发明人： Eric J. Horvitz , Carl M. Kadie , Sean Blagsvedt
IPC分类号： G06F15/173
CPC分类号： G06Q10/10
摘要： A system for optimizing the value of communications between communicating parties is provided. The system includes a communication group manager that facilitates specifying policies, preferences and/or automated analysis of ideal communication channels, routing and/or scheduling in terms of communicating party groups that can be pre-populated clusters of communicating parties, assembled based on relationships (e.g., organizational), and/or assembled based on satisfying inclusion criteria (e.g., age, location, competence, communication history, meeting history). The communication group manager maps communicating parties into predefined and/or dynamically created groups that facilitate specifying and/or automatically computing ideal communication actions like selecting a channel, displaying lists of potential channels sorted by communicating party preferences, and (re)scheduling communications to different channels and/or times. Ideal communication actions can be identified by maximizing a measure of expected communication utility, where groups provide simplifying abstractions to facilitate assessment of outcome utilities. The method can employ representations of preferences of the contactor and contactee that allow for group-specific preference considerations that weight differentially contactor and/or contactee preference considerations in communication action optimization. The system includes a group wise communication coordinator that identifies optimal group communication sets. The method facilitates a recipient communicating with a group member where the communication utility is optimized based on a preference, and a context associated with the group to which the member belongs.

9. 发明申请

US20090106172A1 FALSE DISCOVERY RATE FOR GRAPHICAL MODLES 失效
标题翻译：图形模型的虚拟发现率
公开(公告)号：US20090106172A1
公开(公告)日：2009-04-23
申请号：US11873440
申请日：2007-10-17
申请人： David E. Heckerman , Jennifer Listgarten , Carl M. Kadie
发明人： David E. Heckerman , Jennifer Listgarten , Carl M. Kadie
IPC分类号： G06F15/18
CPC分类号： G06N7/005
摘要： The claimed subject matter provides systems and/or methods that determines a number of non-spurious arcs associated with a learned graphical model. The system can include devices and mechanisms that utilize learning algorithms and datasets to generate learned graphical models and graphical models associated with null permutations of the datasets, ascertaining the average number of arcs associated with the graphical models associated with null permutations of the datasets, enumerating the total number of arcs affiliated with the learned graphical model, and presenting a ratio of the average number of arcs to the total number of arcs, the ratio indicative of the number of non-spurious arcs associated the learned graphical model.
摘要翻译：所要求保护的主题提供确定与学习的图形模型相关联的多个非虚假弧的系统和/或方法。该系统可以包括利用学习算法和数据集来生成学习图形模型和与数据集的零排列相关联的图形模型的装置和机制，确定与与数据集的零排列相关联的图形模型相关联的平均弧数，列举与所学习的图形模型相关联的弧的总数，并且呈现平均弧数与总弧数的比率，该比率表示与所学习的图形模型相关联的非虚假弧的数量。

10. 发明申请

US20080172215A1 T-CELL EPIOTOPE PREDICTION 有权
标题翻译： T细胞EPIOTOPE预测
公开(公告)号：US20080172215A1
公开(公告)日：2008-07-17
申请号：US11963081
申请日：2007-12-21
申请人： David E. Heckerman , Carl M. Kadie , Jennifer Listgarten , Noah Aaron Zaitlen , Nebojsa Jojic
发明人： David E. Heckerman , Carl M. Kadie , Jennifer Listgarten , Noah Aaron Zaitlen , Nebojsa Jojic
IPC分类号： G06G7/60
CPC分类号： G06F19/24 , G06F19/16 , G06F19/18
摘要： Epitope prediction models are described herein. By way of example, a system for predicting epitope information relating to a epitope can include a classification model (e.g., logistic regression model). The trained classification model can illustratively operatively execute one ore logistic functions on received protein data, and incorporate one or more of hidden binary variables and shift variables that when processed represent the identification (e.g., prediction) of one or more desired epitopes. The classification model can be configured to predict the epitope information by processing data including various features of an epitope, MHC, MHC supertype, and Boolean combinations thereof.
摘要翻译：本文描述了表位预测模型。作为示例，用于预测与表位相关的表位信息的系统可以包括分类模型（例如逻辑回归模型）。经训练的分类模型可以说明性地操作地对所接收的蛋白质数据执行一个矿物物流功能，并且包含一个或多个隐藏的二进制变量和移位变量，其在被处理时表示一个或多个所需表位的识别（例如，预测）。分类模型可以被配置为通过处理包括表位，MHC，MHC超类型和布尔组合的各种特征的数据来预测表位信息。

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