公开(公告)号：US07747719B1

公开(公告)日：2010-06-29

申请号：US11047066

申请日：2005-01-31

Applicant: Eric J. Horvitz ,  Carl M. Kadie ,  Sean Blagsvedt

Inventor： Eric J. Horvitz ,  Carl M. Kadie ,  Sean Blagsvedt

IPC: G06F15/173

CPC classification number: G06Q10/10

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07665107B2

公开(公告)日：2010-02-16

申请号：US11078555

申请日：2005-03-11

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

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

IPC: H04N7/10

CPC classification number: H04N7/173 ,  G06Q30/02 ,  H04N21/2547 ,  H04N21/4143 ,  H04N21/4788 ,  H04N21/812

Abstract: 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.

Abstract translation: 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：US07644144B1

公开(公告)日：2010-01-05

申请号：US10036566

申请日：2001-12-21

Applicant: Eric J. Horvitz ,  Carl M. Kadie ,  Sean Blagsvedt

Inventor： Eric J. Horvitz ,  Carl M. Kadie ,  Sean Blagsvedt

IPC: G06F15/173

CPC classification number: G06Q10/10

Abstract: 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.

公开(公告)号：US20090106172A1

公开(公告)日：2009-04-23

申请号：US11873440

申请日：2007-10-17

Applicant: David E. Heckerman ,  Jennifer Listgarten ,  Carl M. Kadie

Inventor： David E. Heckerman ,  Jennifer Listgarten ,  Carl M. Kadie

IPC: G06F15/18

CPC classification number: G06N7/005

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07430550B2

公开(公告)日：2008-09-30

申请号：US11055952

申请日：2005-02-11

Applicant: Christopher A. Meek ,  Carl M. Kadie

Inventor： Christopher A. Meek ,  Carl M. Kadie

IPC: G06F17/30

CPC classification number: G06F17/30536 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99945

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20080172215A1

公开(公告)日：2008-07-17

申请号：US11963081

申请日：2007-12-21

Applicant: David E. Heckerman ,  Carl M. Kadie ,  Jennifer Listgarten ,  Noah Aaron Zaitlen ,  Nebojsa Jojic

Inventor： David E. Heckerman ,  Carl M. Kadie ,  Jennifer Listgarten ,  Noah Aaron Zaitlen ,  Nebojsa Jojic

IPC: G06G7/60

CPC classification number: G06F19/24 ,  G06F19/16 ,  G06F19/18

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20140066320A1

公开(公告)日：2014-03-06

申请号：US13603403

申请日：2012-09-04

Applicant: David Earl Heckerman ,  Jennifer Listgarten ,  Christoph Anthony Lippert ,  Jing Xiang ,  Nicolo Fusi ,  Carl M. Kadie ,  Robert I. Davidson

Inventor： David Earl Heckerman ,  Jennifer Listgarten ,  Christoph Anthony Lippert ,  Jing Xiang ,  Nicolo Fusi ,  Carl M. Kadie ,  Robert I. Davidson

IPC: C40B30/02

CPC classification number: G16B20/00 ,  G16B40/00

Abstract: Described herein are technologies pertaining to computationally-efficiently performing genome-wide association studies. Feature selection methods are used to identify genetic markers for addressing potential confounding in the data. Then, single SNPs, or groups of genetic markers are analyzed to ascertain whether such groups are causal or tagging of causal as to a specified phenotype, after taking in to account the feature-selected SNPs. Group and univariate analysis is accomplished by way of analyzing a group of genetic markers conditioned upon other genetic markers that are found to be predictive of the specified phenotype.

Abstract translation: 这里描述的是涉及计算上有效执行全基因组关联研究的技术。 特征选择方法用于识别用于解决数据中潜在混淆的遗传标记。 然后分析单核苷酸多态性（SNPs）或遗传标记物组，以确定这些群体在考虑特征选择的单核苷酸多态性之后，是否因为特定表型的因果性或标记因素。 组和单变量分析是通过分析一组基于其他遗传标记的遗传标记来实现的，这些遗传标记被发现是预测指定的表型。

公开(公告)号：US08121797B2

公开(公告)日：2012-02-21

申请号：US11963081

申请日：2007-12-21

Applicant: David E. Heckerman ,  Carl M. Kadie ,  Jennifer Listgarten ,  Noah Aaron Zaitlen ,  Nebojsa Jojic

Inventor： David E. Heckerman ,  Carl M. Kadie ,  Jennifer Listgarten ,  Noah Aaron Zaitlen ,  Nebojsa Jojic

IPC: G01N33/50

CPC classification number: G06F19/24 ,  G06F19/16 ,  G06F19/18

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07975015B2

公开(公告)日：2011-07-05

申请号：US11749508

申请日：2007-05-16

Applicant: Eric J. Horvitz ,  David O. Hovel ,  Andrew W. Jacobs ,  Carl M. Kadie

Inventor： Eric J. Horvitz ,  David O. Hovel ,  Andrew W. Jacobs ,  Carl M. Kadie

IPC: G06F15/16

CPC classification number: G06Q10/107

Abstract: The present invention relates to a system and methodology to enable a variety of information associated with one or more notification sources to be directed to one or more notification sinks via a notification platform architecture. The architecture includes a context analyzer for determining a user's state such as location and attentional focus, wherein the user's state is employed by a notification manager to make decisions regarding what, when and how information generated by the notification sources should be forwarded to the notification sinks, for example. These decisions can include a cost benefit analysis wherein considerations are given as to whether the benefits of notifying the user are outweighed by the costs of disrupting the user. Decision-theoretic policies and/or somewhat less formal heuristic policies can be employed to enable the decision-making process within the notification manager.

Abstract translation: 本发明涉及一种使得能够通过通知平台架构将与一个或多个通知源相关联的各种信息定向到一个或多个通知汇的系统和方法。 该架构包括用于确定用户的状态（例如位置和注意焦点）的上下文分析器，其中，通知管理器使用用户的状态来做出关于通知源生成的信息何时以及如何被转发到通知汇的决定 ， 例如。 这些决定可以包括成本效益分析，其中考虑到通知用户的益处是否超过了中断用户的成本。 可以采用决策理论政策和/或一些较不正式的启发式策略来使通知管理器内的决策过程成为可能。

公开(公告)号：US07603427B1

公开(公告)日：2009-10-13

申请号：US11299512

申请日：2005-12-12

Applicant: Eric J. Horvitz ,  Carl M. Kadie

Inventor： Eric J. Horvitz ,  Carl M. Kadie

IPC: G06F15/16

CPC classification number: H04W4/02 ,  G06Q10/107 ,  H04L51/24 ,  H04L67/18 ,  H04L67/24 ,  H04L67/26 ,  H04L67/306 ,  Y10S707/922 ,  Y10S707/99942 ,  Y10S707/99943

Abstract: A system and method is provided for personalizing and refining policies within a general notification platform. The system includes a profile definition and selection system that receives contextual information relating to a user state. The profile definition and selection system generates and/or relays a set of control parameters based at least partially upon the contextual information, and a notification manager selectively sends a user notification and/or communication based upon the set of control parameters. Methods are provided for tuning the notification platform. This may include defining one or more context profiles, assigning values to parameters employed in one or more context profiles, determining a current user context, determining which of the one or more user profiles is consistent with the current user context, and utilizing the parameter value associated with the one or more context profiles consistent with the current user context to adjust the notification system.

Abstract translation: 提供了一种在一般通知平台内个性化和完善政策的系统和方法。 该系统包括简档定义和选择系统，其接收与用户状态有关的上下文信息。 简档定义和选择系统至少部分地基于上下文信息生成和/或中继一组控制参数，并且通知管理器基于该组控制参数选择性地发送用户通知和/或通信。 提供了调整通知平台的方法。 这可以包括定义一个或多个上下文简档，为在一个或多个上下文简档中使用的参数分配值，确定当前用户上下文，确定一个或多个用户简档中的哪一个与当前用户上下文一致，以及利用参数值 与与当前用户上下文一致的一个或多个上下文简档相关联以调整通知系统。