公开(公告)号：WO2008100690A1

公开(公告)日：2008-08-21

申请号：PCT/US2008/051939

申请日：2008-01-24

Applicant: MICROSOFT CORPORATION

Inventor： HOLMES, John S. ,  FERGUSON, Heather ,  CZEISLER, Adam C. ,  GOODMAN, Joshua T.

IPC: G06F17/00 ,  G06Q50/00

CPC classification number: G06F17/30864 ,  G06Q10/10 ,  H04L51/04

Abstract: In the context of an instant messaging application, a conversation is analyzed and contextually or textually relevant keywords and/or phrases are identified. Keywords or phrases are highlighted in a visually-identifiable manner for selection by an individual participating in the conversation. Once selected by an individual, a user interface is presented and exposes various contextually- or textually-relevant material or functionality that pertains to the selected word or phrase. An individual can also manually select a word or phrase to access the user interface. At least some of this relevant material or functionality is presented to the user in the context of the instant messaging application and in a manner in which it can be consumed by the individual within the instant messaging application itself.

Abstract translation: 在即时消息应用程序的上下文中，分析对话并识别上下文或文本相关的关键字和/或短语。 关键词或短语以视觉上可识别的方式突出显示，以供参与对话的个人选择。 一旦被个人选择，就呈现用户界面并且公开与所选择的单词或短语相关的各种与内容或文本相关的材料或功能。 个人还可以手动选择单词或短语来访问用户界面。 这些相关材料或功能中的至少一些在即时消息应用程序的上下文中呈现给用户，并且以其可以由即时消息收发应用程序本身内的个人消费的方式呈现给用户。

公开(公告)号：WO2008079628A1

公开(公告)日：2008-07-03

申请号：PCT/US2007/086700

申请日：2007-12-06

Applicant: MICROSOFT CORPORATION

Inventor： FLAKE, Gary W. ,  GOUNARES, Alexander G. ,  HORVITZ, Eric J. ,  GOODMAN, Joshua T. ,  JAIN, Kamal ,  CHENG, Lili ,  CHICKERING, David M. ,  CONNOLLY, Michael ,  DANI, Nishant V. ,  NAJM, Tarek ,  HEMMEN, Jeffrey R. ,  SMITH, Leonard ,  BLINN, Arnold N. ,  BREWER, Brett D. ,  DIEKEN, Darryn

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q20/10 ,  G06Q30/0226

Abstract: The claimed subject matter relates to an architecture that can quantify a value of a consumer transaction to a market ecosystem. The value to the ecosystem of the transaction can be based upon features of the transaction as well as dynamics unique to the ecosystem. In addition, the value can be monetized as well as aggregated in order to produce a net economic value of a set of transactions involving a particular consumer. The architecture can further facilitate a repatriation of all or portions of the net economic value to the consumer, potentially based upon ranking and/or loyalty tiers.

Abstract translation: 所要求保护的主题涉及可以量化消费者交易对市场生态系统的价值的架构。 交易生态系统的价值可以基于交易的特征以及生态系统特有的动力。 此外，该价值可以通过货币化和汇总，以产生涉及特定消费者的一组交易的净经济价值。 该架构可进一步促进将全部或部分净经济价值汇回消费者，潜在地基于排名和/或忠诚度层级。

公开(公告)号：WO2008002638A1

公开(公告)日：2008-01-03

申请号：PCT/US2007/014990

申请日：2007-06-26

Applicant: MICROSOFT CORPORATION

Inventor： LAWLER, Stephen ,  HORVITZ, Eric J. ,  GOODMAN, Joshua T. ,  GUPTA, Anoop ,  MEEK, Christopher A. ,  BRILL, Eric D. ,  FLAKE, Gary W. ,  NAAM, Ramez ,  CHAUDHURI, Surajit ,  HURST-HILLER, Oliver

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30592 ,  Y10S707/913

Abstract: A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.

Abstract translation: 一种能够基于从输入中提取的特征建立搜索查询的分析多维输入的系统。 在特定示例中，图像可以用作搜索机制的输入。 模式识别和图像分析可以应用于图像，然后建立对应于从图像输入提取的特征的搜索查询。 该系统还可以方便索引多维可搜索项目，从而使得它们可以作为结果被检索到搜索查询。 更具体地，系统可以采用文本分析，模式和/或语音识别机制来从可搜索项目中提取特征。 这些提取的特征可用于索引可搜索的项目。

公开(公告)号：WO2008002527A3

公开(公告)日：2008-01-03

申请号：PCT/US2007/014721

申请日：2007-06-25

Applicant: MICROSOFT CORPORATION

Inventor： HORVITZ, Eric J. ,  GATES III, William H. ,  GOODMAN, Joshua T. ,  BRUNELL, Bradly A. ,  FLAKE, Gary W. ,  HURST-HILLER, Oliver ,  MOSS, Kenneth A. ,  OZZIE, Raymond E. ,  PLATT, John C.

IPC: G06F17/30

Abstract: Provided is mechanism for guiding computer searches (e.g., web, Internet, intranet...). Machine learning and reasoning mechanisms are employed together with a search engine to facilitate intelligent guidance of queries and results based on a query and responses to computer generated inquires. Also, disclosed is a mechanism that enables users to validate computer-based information. Users can receive a validity metric associated with computer generated or provided results indicative of the veracity of such results. Validation systems and methods are disclosed to facilitate determining the veracity of results including those that employ humans (e.g., referrals, voting...) and/or automated means (e.g., source analysis, data mining...).

公开(公告)号：WO2008076655A1

公开(公告)日：2008-06-26

申请号：PCT/US2007/086643

申请日：2007-12-06

Applicant: MICROSOFT CORPORATION

Inventor： FLAKE, Gary W. ,  GOUNARES, Alexander G. ,  HORVITZ, Eric J. ,  GOODMAN, Joshua T. ,  JAIN, Kamal ,  CHENG, Lili ,  CHICKERING, David M. ,  CONNOLLY, Michael ,  DANI, Nishant V. ,  NAJM, Tarek ,  HEMMEN, Jeffrey R. ,  SMITH, Leonard ,  BLINN, Arnold N. ,  BREWER, Brett D. ,  DIEKEN, Darryn

IPC: G06Q30/00 ,  G06Q99/00

CPC classification number: G06Q30/02 ,  G06Q30/0215 ,  G06Q30/0601

Abstract: The claimed subject matter relates to an architecture that can characterize an item involved in a consumer transaction and/or a behavior of a consumer as a virtual financial instrument. The architecture can monitor the future performance of the virtual instrument in order to identify trendspotters as well as trend followers in a particular market domain.

Abstract translation: 所要求保护的主题涉及可以将涉及消费者交易的项目和/或消费者的行为表征为虚拟金融工具的架构。 该架构可以监控虚拟仪器的未来性能，以便识别趋势点和特定市场领域的趋势追踪者。

公开(公告)号：WO2007027453A1

公开(公告)日：2007-03-08

申请号：PCT/US2006/032352

申请日：2006-08-17

Applicant: MICROSOFT CORPORATION

Inventor： BIGGS, Jody David ,  BORGS, Christian Herwarth ,  CHAYES, Jennifer Tour ,  FEIGE, Uriel M. ,  JAIN, Kamal ,  LI, Ying ,  MEEK, Christopher A. ,  NAJM, Tarek ,  GOODMAN, Joshua T.

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q30/0271

Abstract: The user interfaces, methods and systems described herein facilitate user interaction with an ad space by conveying additional advertising content via a preview pane and facilitate automatically generating the content of the preview pane. By way of example, an electronic advertisement is conveyed to a user in an ad space provided by a third party, and a secondary advertisement generating component automatically generates at least part of the content of a secondary advertisement. The secondary advertisement provides content associated with the electronic advertisement and occurs upon receiving a user indication. A context acquiring component also may provide context information to the secondary advertisement generating component to automatically generate at least part of the content of the secondary advertisement.

Abstract translation: 这里描述的用户界面，方法和系统通过经由预览窗格传送额外的广告内容来促进用户与广告空间的交互，并促进自动生成预览窗格的内容。 作为示例，在由第三方提供的广告空间中向用户传送电子广告，并且次要广告生成部件自动生成次要广告的内容的至少一部分。 次要广告提供与电子广告相关联的内容，并且在接收到用户指示时发生。 上下文获取组件还可以向次要广告生成组件提供上下文信息以自动生成辅助广告的至少部分内容。

公开(公告)号：EP1599781A2

公开(公告)日：2005-11-30

申请号：EP04714607.1

申请日：2004-02-25

Applicant: MICROSOFT CORPORATION

Inventor： ROUNTHWAITE, Robert L. ,  HECKERMAN, David E. ,  MEHR, John D. ,  HOWELL, Nathan D. ,  RUPERSBURG, Micah C. ,  SLAWSON, Dean A. ,  GOODMAN, Joshua T.

IPC: G06F1/00

CPC classification number: H04L51/12 ,  G06Q10/107

Abstract: The subject invention provides for a feedback loop system and method that facilitate classifying items in connection with spam prevention in server and/or client-based architectures. The invention makes uses of a machine-learning approach as applied to spam filters, and in particular, randomly samples incoming email messages so that examples of both legitimate and junk/spam mail are obtained to generate sets of training data. Users which are identified as spam-fighters are asked to vote on whether a selection of their incoming email messages is individually either legitimate mail or junk mail. A database stores the properties for each mail and voting transaction such as user information, message properties and content summary, and polling results for each message to generate training data for machine learning systems. The machine learning systems facilitate creating improved spam filter(s) that are trained to recognize both legitimate mail and spam mail and to distinguish between them.

Abstract translation: 本发明提供了一种反馈回路系统和方法，其有助于在服务器和/或基于客户端的体系结构中与垃圾邮件防止相关联的项目进行分类。 本发明利用机器学习方法应用于垃圾邮件过滤器，特别是随机抽取传入的电子邮件消息，以便获得合法和垃圾/垃圾邮件的示例以产生一组训练数据。 被要求被识别为垃圾邮件机的用户被要求对所接收的电子邮件的选择是否是合法邮件或垃圾邮件进行投票。 数据库存储每个邮件和投票交易的属性，例如用户信息，消息属性和内容摘要，以及每个消息的轮询结果以生成机器学习系统的训练数据。 机器学习系统便于创建改进的垃圾邮件过滤器，该过滤器被训练以识别合法邮件和垃圾邮件并区分它们。

公开(公告)号：EP2126821A1

公开(公告)日：2009-12-02

申请号：EP07869019.5

申请日：2007-12-06

Applicant: Microsoft Corporation

Inventor： FLAKE, Gary W. ,  GOUNARES, Alexander G. ,  HORVITZ, Eric J. ,  GOODMAN, Joshua T. ,  JAIN, Kamal ,  CHENG, Lili ,  CHICKERING, David M. ,  CONNOLLY, Michael ,  DANI, Nishant V. ,  NAJM, Tarek ,  HEMMEN, Jeffrey R. ,  SMITH, Leonard ,  BLINN, Arnold N. ,  BREWER, Brett D. ,  DIEKEN, Darryn

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q20/10 ,  G06Q30/0226

Abstract: The claimed subject matter relates to an architecture that can quantify a value of a consumer transaction to a market ecosystem. The value to the ecosystem of the transaction can be based upon features of the transaction as well as dynamics unique to the ecosystem. In addition, the value can be monetized as well as aggregated in order to produce a net economic value of a set of transactions involving a particular consumer. The architecture can further facilitate a repatriation of all or portions of the net economic value to the consumer, potentially based upon ranking and/or loyalty tiers.

公开(公告)号：EP2143010A1

公开(公告)日：2010-01-13

申请号：EP08713971.3

申请日：2008-01-24

Applicant: Microsoft Corporation

Inventor： HOLMES, John S. ,  FERGUSON, Heather ,  CZEISLER, Adam C. ,  GOODMAN, Joshua T.

IPC: G06F17/00 ,  G06Q50/00

CPC classification number: G06F17/30864 ,  G06Q10/10 ,  H04L51/04

Abstract: In the context of an instant messaging application, a conversation is analyzed and contextually or textually relevant keywords and/or phrases are identified. Keywords or phrases are highlighted in a visually-identifiable manner for selection by an individual participating in the conversation. Once selected by an individual, a user interface is presented and exposes various contextually- or textually-relevant material or functionality that pertains to the selected word or phrase. An individual can also manually select a word or phrase to access the user interface. At least some of this relevant material or functionality is presented to the user in the context of the instant messaging application and in a manner in which it can be consumed by the individual within the instant messaging application itself.

公开(公告)号：EP2038775A1

公开(公告)日：2009-03-25

申请号：EP07796536.6

申请日：2007-06-26

Applicant: Microsoft Corporation

Inventor： LAWLER, Stephen ,  HORVITZ, Eric J. ,  GOODMAN, Joshua T. ,  GUPTA, Anoop ,  MEEK, Christopher A. ,  BRILL, Eric D. ,  FLAKE, Gary W. ,  NAAM, Ramez ,  CHAUDHURI, Surajit ,  HURST-HILLER, Oliver

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30592 ,  Y10S707/913

Abstract: A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.