公开(公告)号：US20080005068A1

公开(公告)日：2008-01-03

申请号：US11426985

申请日：2006-06-28

Applicant: Susan T. Dumais ,  Kyle G. Peltonen ,  Anoop Gupta ,  Bradly A. Brunell ,  William H. Gates ,  Gary W. Flake ,  Ramez Naam ,  Eric J. Horvitz ,  Xuedong D. Huang ,  John C. Platt ,  Oliver Hurst-Hiller ,  Trenholme J. Griffin ,  Joshua T. Goodman

Inventor： Susan T. Dumais ,  Kyle G. Peltonen ,  Anoop Gupta ,  Bradly A. Brunell ,  William H. Gates ,  Gary W. Flake ,  Ramez Naam ,  Eric J. Horvitz ,  Xuedong D. Huang ,  John C. Platt ,  Oliver Hurst-Hiller ,  Trenholme J. Griffin ,  Joshua T. Goodman

IPC: G06F17/30

CPC classification number: G06F16/24575

Abstract: A system that incorporates a user context into a computer-based search is provided. To establish the context, the innovation can identify information about a user state or context via a variety of sources and sensors. The state/context information can be used to filter, arrange and/or rank search results so as to facilitate converging on meaningful searches and results. Machine learning systems (implicitly and/or explicitly trained) can be employed to infer a current and/or future context related to user. An identified or inferred user context can be employed to modify an automated or user-defined search input/query. Contextual cues can be considered directly in the construction and use of context of context-sensitive retrieval algorithms that are optimized for identifying and/or ranking of informational items of potential interest or value in different contexts. As well, the context can be employed to intelligently render results of a query (e.g., user/application defined, context-modified query).

公开(公告)号：US20080004951A1

公开(公告)日：2008-01-03

申请号：US11427764

申请日：2006-06-29

Applicant: Xuedong D. Huang ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Bradly A. Brunell ,  Susan T. Dumais ,  Gary W. Flake ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller

Inventor： Xuedong D. Huang ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Bradly A. Brunell ,  Susan T. Dumais ,  Gary W. Flake ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q30/0269 ,  G06Q30/0271

Abstract: Architecture for presenting advertisements in realtime in retail establishments. A sensor component includes sensors for collecting information about a customer or group of customers as they move through the store. The sensors can include capability for image processing, audio processing, light sensing, velocity sensing, direction sensing, proximity sensing, face recognition, pose recognition, transaction recognition, and biometric sensing, for example. A customer component analyzes the information and generates a profile about the customer. Advertisements are selected for presentation that target the customers as they walk in proximity of a presentation system of the store. An advertisement component facilitates dynamic presentation of a targeted advertisement to the individual as a function of the profile. The customer component can infer information during analysis using machine learning and reasoning.

Abstract translation: 在零售店内实时呈现广告的建筑。 传感器组件包括传感器，用于在客户或客户群经过商店移动时收集有关客户或客户群的信息。 例如，传感器可以包括用于图像处理，音频处理，光感测，速度感测，方向感测，接近感测，面部识别，姿态识别，事务识别和生物测量感测的能力。 客户组件分析信息并生成有关客户的配置文件。 广告被选择用于呈现，当客户在商店的呈现系统附近走动时将其定位成客户。 广告组件有助于作为简档的函数向个人动态地呈现目标广告。 客户组件可以使用机器学习和推理来分析分析期间的信息。

公开(公告)号：US20070299815A1

公开(公告)日：2007-12-27

申请号：US11426509

申请日：2006-06-26

Applicant: Bryan T. Starbuck ,  Ojiakonobi Udezue ,  Stephen Lardieri ,  Manish M. Anand ,  Joshua T. Goodman ,  Alexei V. Bocharov

Inventor： Bryan T. Starbuck ,  Ojiakonobi Udezue ,  Stephen Lardieri ,  Manish M. Anand ,  Joshua T. Goodman ,  Alexei V. Bocharov

IPC: G06F17/30

CPC classification number: G06F17/30648 ,  Y10S707/99933

Abstract: Various embodiments can utilize information that is displayed for a user to automatically generate a list of keywords and use that list as a means to display supplemental information that is relevant to the keywords. In at least some embodiments, the displayed information is analyzed using an extraction algorithm to identify words or, more generally, character strings of interest. If these words or character strings of interest are determined to constitute relevant search terms or “keywords”, then a special user interface portion can be used to display this supplemental information along with the information that is already displayed for the user. This supplemental information can include the search terms themselves, ads that pertain to the search terms, and/or search results that have been ascertained from a web search engine.

Abstract translation: 各种实施例可以利用为用户显示的信息来自动生成关键字列表，并使用该列表作为显示与关键字相关的补充信息的手段。 在至少一些实施例中，使用提取算法来分析所显示的信息以识别字词，或者更一般地，识别感兴趣的字符串。 如果确定这些关键词或字符串构成相关搜索词或“关键字”，则可以使用特殊用户界面部分来显示该补充信息以及已经为用户显示的信息。 该补充信息可以包括搜索词本身，与搜索词相关的广告，和/或已从网页搜索引擎确定的搜索结果。

公开(公告)号：US07272853B2

公开(公告)日：2007-09-18

申请号：US10454168

申请日：2003-06-04

Applicant: Joshua T. Goodman ,  Robert L. Rounthwaite ,  Daniel Gwozdz ,  John D. Mehr ,  Nathan D. Howell ,  Micah C. Rupersburg ,  Bryan T. Starbuck

Inventor： Joshua T. Goodman ,  Robert L. Rounthwaite ,  Daniel Gwozdz ,  John D. Mehr ,  Nathan D. Howell ,  Micah C. Rupersburg ,  Bryan T. Starbuck

IPC: H04L29/00

CPC classification number: H04L51/12 ,  G06Q10/107

Abstract: The present invention involves a system and method that facilitate extracting data from messages for spam filtering. The extracted data can be in the form of features, which can be employed in connection with machine learning systems to build improved filters. Data associated with origination information as well as other information embedded in the body of the message that allows a recipient of the message to contact and/or respond to the sender of the message call be extracted as features. The features, or a subset thereof, can be normalized and/or deobfuscated prior to being employed as features of the machine learning systems. The (deobfuscated) features can be employed to populate a plurality of feature lists that facilitate spam detection and prevention. Exemplary features include an email address, an IP address, a URL, an embedded image pointing to a URL, and/or portions thereof.

Abstract translation: 本发明涉及一种便于从垃圾邮件过滤的消息中提取数据的系统和方法。 提取的数据可以是特征的形式，其可以与机器学习系统结合使用以构建改进的过滤器。 与源信息相关联的数据以及允许消息的接收者联系和/或响应消息呼叫的发送者的消息正文中嵌入的其他信息被提取为特征。 特征或其子集可以在被用作机器学习系统的特征之前被归一化和/或去混淆。 可以使用（去模糊化）功能来填充便于垃圾邮件检测和预防的多个特征列表。 示例性特征包括电子邮件地址，IP地址，URL，指向URL的嵌入图像和/或其部分。

公开(公告)号：US07254569B2

公开(公告)日：2007-08-07

申请号：US10874955

申请日：2004-06-23

Applicant: Joshua T Goodman ,  Carl M Kadie ,  David M Chickering ,  Donald E Bradford ,  Dane A Glasgow

Inventor： Joshua T Goodman ,  Carl M Kadie ,  David M Chickering ,  Donald E Bradford ,  Dane A Glasgow

IPC: G06F7/00 ,  G06F17/30 ,  G06F3/48

CPC classification number: G06F17/243 ,  Y10S707/99931 ,  Y10S707/99945

Abstract: 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.

Abstract translation: 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地填充不同数量的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：US07249162B2

公开(公告)日：2007-07-24

申请号：US10374005

申请日：2003-02-25

Applicant: Robert L. Rounthwaite ,  Joshua T. Goodman ,  David E. Heckerman ,  John C. Platt ,  Carl M. Kadie

Inventor： Robert L. Rounthwaite ,  Joshua T. Goodman ,  David E. Heckerman ,  John C. Platt ,  Carl M. Kadie

IPC: G06F15/16

CPC classification number: G06Q10/107 ,  H04L51/12

Abstract: 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.

Abstract translation: 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，则使用新的过滤器来代替种子过滤器，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：US09396269B2

公开(公告)日：2016-07-19

申请号：US11427288

申请日：2006-06-28

Applicant: Christopher A. Meek ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Anoop Gupta ,  Ramez Naam ,  Kenneth A. Moss ,  William H. Gates, III ,  John C. Platt ,  Trenholme J. Griffin ,  Bradly A. Brunell

Inventor： Christopher A. Meek ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Anoop Gupta ,  Ramez Naam ,  Kenneth A. Moss ,  William H. Gates, III ,  John C. Platt ,  Trenholme J. Griffin ,  Bradly A. Brunell

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Architecture that monitors interaction data (e.g., search queries, query results and click-through rates), and provides users with links to other users that fall into similar categories with respect to the foregoing monitored activities (e.g., providing links to individuals and groups that share common interests and/or profiles). A search engine can be interactively coupled with one or more social networks, and that maps individuals and/or groups within respective social networks to subsets of categories associated with searches. A database stores mapped information which can be continuously updated and reorganized as links within the system mapping become stronger or weaker. The architecture can comprise a social network system that includes a database for mapping search-related information to an entity of a social network, and a search component for processing a search query for search results and returning a link to an entity of a social network based on the search query.

Abstract translation: 监视交互数据（例如搜索查询，查询结果和点击率）的架构，并向用户提供与上述受监视活动相类似的类别的其他用户的链接（例如，提供与个人和组的链接 分享共同的兴趣和/或简介）。 搜索引擎可以与一个或多个社交网络交互地耦合，并且将各个社交网络内的个人和/或组映射到与搜索相关联的类别的子集。 数据库存储可以不断更新和重新组织的映射信息，因为系统映射中的链接变得更强或更弱。 该架构可以包括社交网络系统，其包括用于将搜索相关信息映射到社交网络的实体的数据库，以及用于处理搜索结果的搜索查询并返回到基于社交网络的实体的链接的搜索组件 在搜索查询上。

公开(公告)号：US07997485B2

公开(公告)日：2011-08-16

申请号：US11427748

申请日：2006-06-29

Applicant: Gary W. Flake ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Eric D. Brill ,  Bradly A. Brunell ,  Susan T. Dumais ,  Alexander G. Gounares ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Raymond E. Ozzie

Inventor： Gary W. Flake ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Eric D. Brill ,  Bradly A. Brunell ,  Susan T. Dumais ,  Alexander G. Gounares ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Raymond E. Ozzie

IPC: G06K15/00

CPC classification number: G06F21/6245 ,  G06Q30/02 ,  G06Q30/0273 ,  H04L63/0227 ,  H04L63/102 ,  H04L63/1483 ,  H04L67/306 ,  H04W12/12

Abstract: Architecture is provided that facilitates user-controlled access to user profile information. A user is allowed to selectively expose (or mask) portions of his/her profile to third parties. Additionally, advertisers and/or content providers can offer incentives or enticement in response to the acceptance of which a user exposes larger portions of their profile. The architecture comprises a system that facilitates profile management utilizing a profile component that facilitates creation and storage of an electronic profile of a user, and a control component under control of the user for controlling access to the profile. Machine learning and reasoning is provided to make inferences and automate aspects thereof.

Abstract translation: 提供了便于用户控制访问用户简档信息的体系结构。 允许用户选择性地（或掩盖）他/她的个人资料的部分到第三方。 此外，广告商和/或内容提供商可以提供激励或诱惑以响应用户公开其配置文件的较大部分的接受。 该架构包括利用简化组件来促进简档管理的系统，该简档组件便于用户的电子简档的创建和存储，以及用户控制下的用于控制对简档的访问的控制组件。 提供机器学习和推理来推断和自动化其方面。

公开(公告)号：US07904517B2

公开(公告)日：2011-03-08

申请号：US10914325

申请日：2004-08-09

Applicant: Nina W Kang ,  Joshua T Goodman ,  Robert L Rounthwaite ,  Josh Benaloh ,  Elissa E Murphy ,  Manav Mishra ,  Gopalakrishnan Seshadrinathan ,  Derek M Hazeur ,  Ryan C Colvin

Inventor： Nina W Kang ,  Joshua T Goodman ,  Robert L Rounthwaite ,  Josh Benaloh ,  Elissa E Murphy ,  Manav Mishra ,  Gopalakrishnan Seshadrinathan ,  Derek M Hazeur ,  Ryan C Colvin

IPC: G06F15/16 ,  G06Q20/00

CPC classification number: G06Q20/3674 ,  H04L51/12

Abstract: Disclosed are systems and methods that facilitate securing communication channels used in a challenge-response system to mitigate spammer intrusion or deception. The systems and methods make use of unique IDs that can be added to outbound messages originating from a sender, a recipient, and a third-party server. The IDs can be correlated according to the relevant parties. Thus, for example, a sender can add a signed ID to an outgoing message. A challenge sent back to the sender for that particular message can echo the same ID or a new ID derived from the original ID to allow a sender to verify that the challenge corresponds to an actual message. The IDs can include cookies as well to facilitate correlation of messages and to facilitate the retrieval of messages once a sender is determined to be legitimate.

Abstract translation: 公开了有助于确保在挑战 - 响应系统中使用的通信信道的系统和方法，以减轻垃圾邮件发送者入侵或欺骗。 系统和方法使用可以添加到源自发件人，收件人和第三方服务器的出站邮件的唯一ID。 ID可以根据相关方关联。 因此，例如，发送者可以向输出消息添加签名的ID。 向该发送者发送的针对该特定消息的挑战可以回显与原始ID相同的ID或新的ID，以允许发送方验证该挑战是否对应于实际的消息。 ID可以包括cookie，以便于消息的相关性，并且一旦发送者被确定为合法，便于检索消息。

公开(公告)号：US07848501B2

公开(公告)日：2010-12-07

申请号：US11042245

申请日：2005-01-25

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

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

IPC: H04M3/42 ,  G06F15/16

CPC classification number: G06F21/606 ,  G06F21/316 ,  G06F21/552 ,  G06F2221/2135 ,  H04L51/00 ,  H04L63/1408

Abstract: 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.

Abstract translation: 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。