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31. 发明申请

US20090192966A1 COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA 失效
标题翻译：成本效益自动组合方式从大型非结构性公司提取信息提出问题
公开(公告)号：US20090192966A1
公开(公告)日：2009-07-30
申请号：US12417959
申请日：2009-04-03
申请人： Eric J. Horvitz , David R. Azari , Susan T. Dumais , Eric D. Brill
发明人： Eric J. Horvitz , David R. Azari , Susan T. Dumais , Eric D. Brill
IPC分类号： G06N5/02
CPC分类号： G06F17/30684 , G06F17/30687 , Y10S707/99933
摘要： The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.
摘要翻译：本发明涉及一种便利从诸如万维网和/或其他非结构化来源的大型非结构化语料库提取信息的系统和方法。通过概率模型和成本效益分析，可以通过这些来源自动构成问题答案形式的信息，以指导基于知识的问答系统采用的资源密集型信息提取程序。分析可以利用由贝叶斯或其他统计模型提供的系统生成的答案的最终质量的预测。当与实用新型相结合时，这种预测可以为系统提供对发出给搜索引擎（或引擎）的查询数量的决定的能力，考虑到查询的成本和查询结果的期望值来提炼最终的回答。给定一个偏好模型，可以采用最高预期效用的信息提取动作。以这种方式，可以将问题答案的准确性与信息提取和分析的成本进行平衡，以构成答案。

32. 发明授权

US07454393B2 Cost-benefit approach to automatically composing answers to questions by extracting information from large unstructured corpora 有权
标题翻译：通过从大型非结构化语料库中提取信息来自动构成问题答案的成本效益方法
公开(公告)号：US07454393B2
公开(公告)日：2008-11-18
申请号：US10635274
申请日：2003-08-06
申请人： Eric J. Horvitz , David R. Azari , Susan T. Dumais , Eric D. Brill
发明人： Eric J. Horvitz , David R. Azari , Susan T. Dumais , Eric D. Brill
IPC分类号： G06F17/00 , G06F17/30 , G06N5/02
CPC分类号： G06F17/30684 , G06F17/30687 , Y10S707/99933
摘要： The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.
摘要翻译：本发明涉及一种便利从诸如万维网和/或其他非结构化来源的大型非结构化语料库提取信息的系统和方法。通过概率模型和成本效益分析，可以通过这些来源自动构成问题答案形式的信息，以指导基于知识的问答系统采用的资源密集型信息提取程序。分析可以利用由贝叶斯或其他统计模型提供的系统生成的答案的最终质量的预测。当与实用新型相结合时，这种预测可以为系统提供对发出给搜索引擎（或引擎）的查询数量的决定的能力，考虑到查询的成本和查询结果的期望值来提炼最终的回答。给定一个偏好模型，可以采用最高预期效用的信息提取动作。以这种方式，可以将问题答案的准确性与信息提取和分析的成本进行平衡，以构成答案。

33. 发明申请

US20090254390A1 COMMUNICATION WORKSPACE 有权
标题翻译：通信工作空间
公开(公告)号：US20090254390A1
公开(公告)日：2009-10-08
申请号：US12098027
申请日：2008-04-04
申请人： Eran Megiddo , Joshua T. Goodman , Jensen M. Harris , Susan T. Dumais , Michael V. Ehrenberg , Srikanth Shoroff , William H. Gates, III
发明人： Eran Megiddo , Joshua T. Goodman , Jensen M. Harris , Susan T. Dumais , Michael V. Ehrenberg , Srikanth Shoroff , William H. Gates, III
IPC分类号： G06Q99/00 , G06Q10/00 , G06F21/00
CPC分类号： G06Q10/10 , G06F21/6218
摘要： Multiple pieces of information can be arranged into a single construct that allows the employee to ascertain information quickly while at her workstation. Selection of information for placement into the construct can employ various statistical models and the like. Selective pieces of information can be masked for a user's construct based upon access rights of the user. Constructs can be configured by a user based on personal preferences as well as by an administrator. Population of metadata upon the construct can be performed automatically through an instruction of the administrator or be overridden by a user request. In addition, various types of synchronization can be implemented between constructs, such that identical or near-identical information is populated upon multiple constructs.
摘要翻译：多个信息可以被安排成一个单一的结构，允许员工在她的工作站快速地确定信息。用于放置到构造中的信息的选择可以采用各种统计模型等。基于用户的访问权限，可以为用户的构造掩蔽选择性的信息。构造可以由用户基于个人偏好以及由管理员进行配置。可以通过管理员的指令自动执行构造中的元数据的群体，或者被用户请求覆盖。此外，可以在构造之间实现各种类型的同步，使得在多个构造上填充相同或近乎相同的信息。

34. 发明申请

US20090254336A1 PROVIDING A TASK DESCRIPTION NAME SPACE MAP FOR THE INFORMATION WORKER 有权
标题翻译：为信息工作者提供任务说明名称空间地图
公开(公告)号：US20090254336A1
公开(公告)日：2009-10-08
申请号：US12098189
申请日：2008-04-04
申请人： Susan T. Dumais , William H. Gates, III , Srikanth Shoroff , Michael Ehrenberg , Jensen M. Harris , Richard J. Wolf , Joshua T. Goodman , Eran Megiddo
发明人： Susan T. Dumais , William H. Gates, III , Srikanth Shoroff , Michael Ehrenberg , Jensen M. Harris , Richard J. Wolf , Joshua T. Goodman , Eran Megiddo
IPC分类号： G06F17/27
CPC分类号： G06F9/451
摘要： Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural language description of an application level task. Furthermore, the system can include a language modeling component that can generate the data structure based on an association between the description of the task and at least one application level command utilized in executing the computer related task. Once generated, the data structure can be utilized to automate computer related tasks by input of a human centric description of those tasks. According to further embodiments, machine learning can be employed to train classifiers and heuristic models to optimize task/description relationships and/or tailor such relationships to the needs of particular users.
摘要翻译：本文描述了生成可将计算机相关任务的自然语言描述与应用级命令和功能相关联的面向任务的数据结构。作为示例，系统可以包括能够接收应用级任务的自然语言描述的活动翻译组件。此外，系统可以包括语言建模组件，该组件可以基于任务描述与在执行计算机相关任务中使用的至少一个应用程序级别命令之间的关联来生成数据结构。一旦生成，数据结构可以用于通过输入对这些任务的以人为中心的描述来自动化计算机相关任务。根据另外的实施例，可以采用机器学习来训练分类器和启发式模型以优化任务/描述关系和/或根据特定用户的需要定制这样的关系。

35. 发明授权

US08700385B2 Providing a task description name space map for the information worker 有权
标题翻译：为信息工作者提供任务描述名称空间图
公开(公告)号：US08700385B2
公开(公告)日：2014-04-15
申请号：US12098189
申请日：2008-04-04
申请人： Susan T. Dumais , William H. Gates, III , Srikanth Shoroff , Michael Ehrenberg , Jensen M. Harris , Richard J. Wolf , Joshua T. Goodman , Eran Megiddo
发明人： Susan T. Dumais , William H. Gates, III , Srikanth Shoroff , Michael Ehrenberg , Jensen M. Harris , Richard J. Wolf , Joshua T. Goodman , Eran Megiddo
IPC分类号： G06F17/27
CPC分类号： G06F9/451
摘要： Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural language description of an application level task. Furthermore, the system can include a language modeling component that can generate the data structure based on an association between the description of the task and at least one application level command utilized in executing the computer related task. Once generated, the data structure can be utilized to automate computer related tasks by input of a human centric description of those tasks. According to further embodiments, machine learning can be employed to train classifiers and heuristic models to optimize task/description relationships and/or tailor such relationships to the needs of particular users.
摘要翻译：本文描述了生成可将计算机相关任务的自然语言描述与应用级命令和功能相关联的面向任务的数据结构。作为示例，系统可以包括能够接收应用级任务的自然语言描述的活动翻译组件。此外，系统可以包括语言建模组件，该组件可以基于任务描述与在执行计算机相关任务中使用的至少一个应用程序级别命令之间的关联来生成数据结构。一旦生成，数据结构可以用于通过输入对这些任务的以人为中心的描述来自动化计算机相关任务。根据另外的实施例，可以采用机器学习来训练分类器和启发式模型以优化任务/描述关系和/或根据特定用户的需要定制这样的关系。

36. 发明授权

US08782179B2 Communication workspace 有权
标题翻译：通讯工作区
公开(公告)号：US08782179B2
公开(公告)日：2014-07-15
申请号：US12098027
申请日：2008-04-04
申请人： Eran Megiddo , Joshua T. Goodman , Jensen M. Harris , Susan T. Dumais , Michael V. Ehrenberg , Srikanth Shoroff , William H. Gates, III
发明人： Eran Megiddo , Joshua T. Goodman , Jensen M. Harris , Susan T. Dumais , Michael V. Ehrenberg , Srikanth Shoroff , William H. Gates, III
IPC分类号： G06F15/177 , G06F15/16 , G06Q10/00
CPC分类号： G06Q10/10 , G06F21/6218
摘要： Multiple pieces of information can be arranged into a single construct that allows the employee to ascertain information quickly while at her workstation. Selection of information for placement into the construct can employ various statistical models and the like. Selective pieces of information can be masked for a user's construct based upon access rights of the user. Constructs can be configured by a user based on personal preferences as well as by an administrator. Population of metadata upon the construct can be performed automatically through an instruction of the administrator or be overridden by a user request. In addition, various types of synchronization can be implemented between constructs, such that identical or near-identical information is populated upon multiple constructs.
摘要翻译：多个信息可以被安排成一个单一的结构，允许员工在她的工作站快速地确定信息。用于放置到构造中的信息的选择可以采用各种统计模型等。基于用户的访问权限，可以为用户的构造掩蔽选择性的信息。构造可以由用户基于个人偏好以及由管理员进行配置。可以通过管理员的指令自动执行构造中的元数据的群体，或者被用户请求覆盖。此外，可以在构造之间实现各种类型的同步，使得在多个构造上填充相同或近乎相同的信息。

37. 发明授权

US07590619B2 Search system using user behavior data 有权
标题翻译：搜索系统使用用户行为数据
公开(公告)号：US07590619B2
公开(公告)日：2009-09-15
申请号：US10805706
申请日：2004-03-22
申请人： Oliver Hurst-Hiller , Susan T. Dumais
发明人： Oliver Hurst-Hiller , Susan T. Dumais
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30867 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935
摘要： Context-based user behavior data is collected from a search mechanism. This data includes, for a given query, user feedback (implicit and explicit) on the query and context information on the query. This information can be used, for example, to evaluate a search mechanism or to check a relevance model. This context-based user behavior data may include user information. In one embodiment, explicit feedback is requested from the user except when the user requests a pause in explicit feedback requests, or only periodically, in order to reach a target value for requests for explicit feedback. The explicit feedback may include feedback concerning results not visited, and concerning non-standard results. Implicit feedback will include particular data items such as requeries by a user.
摘要翻译：从搜索机制收集基于上下文的用户行为数据。对于给定的查询，该数据包括查询上的用户反馈（隐式和显式）以及关于查询的上下文信息。该信息可用于例如评估搜索机制或检查相关性模型。该基于上下文的用户行为数据可以包括用户信息。在一个实施例中，除了当用户请求显式反馈请求中的暂停或仅仅周期性地为了达到用于显式反馈的请求的目标值的情况下，请求来自用户的显式反馈。明确的反馈可能包括关于未访问的结果以及非标准结果的反馈。隐式反馈将包括特定数据项，如用户的请求。

38. 发明授权

US07937340B2 Automated satisfaction measurement for web search 有权
标题翻译：网页搜索的自动满意度测量
公开(公告)号：US07937340B2
公开(公告)日：2011-05-03
申请号：US10806271
申请日：2004-03-22
申请人： Oliver Hurst-Hiller , Eric Watson , Susan T. Dumais
发明人： Oliver Hurst-Hiller , Eric Watson , Susan T. Dumais
IPC分类号： G06F15/18
CPC分类号： G06F17/30867 , G06F7/00 , G06F15/18 , G06F17/30
摘要： Context-based user behavior data is collected from a search mechanism. This data includes, for a given query, user feedback (implicit and explicit) on the query and context information on the query. A predictive pattern is applied to the context-based user behavior data in order to produce predicted user satisfaction data. Data mining techniques may be used to create and improve one or more predictive patterns. Predicted user satisfaction data can be used to monitor or improve search mechanism performance, via a display reporting the performance or identification of any queries with a shared characteristic and sub-par user satisfaction. A dynamically-improving search mechanism uses the predicted user satisfaction data to improve the performance of the search mechanism.
摘要翻译：从搜索机制收集基于上下文的用户行为数据。对于给定的查询，该数据包括查询上的用户反馈（隐式和显式）以及关于查询的上下文信息。预测模式被应用于基于上下文的用户行为数据，以便产生预测的用户满意度数据。数据挖掘技术可用于创建和改进一个或多个预测模式。预测的用户满意度数据可以用于通过显示器报告具有共享特性和次标准用户满意度的任何查询的性能或标识来监视或改进搜索机制的性能。动态改进的搜索机制使用预测的用户满意度数据来提高搜索机制的性能。

39. 发明授权

US08239227B2 Executive reporting 有权
标题翻译：行政报告
公开(公告)号：US08239227B2
公开(公告)日：2012-08-07
申请号：US11874151
申请日：2007-10-17
申请人： Eran Megiddo , Richard J. Wolf , Susan T. Dumais , Jensen M. Harris , Joshua T. Goodman
发明人： Eran Megiddo , Richard J. Wolf , Susan T. Dumais , Jensen M. Harris , Joshua T. Goodman
IPC分类号： G06Q40/00
CPC分类号： G06Q10/10 , G06Q10/06 , G06Q10/063114
摘要： Providing for generating an executive report of business or personal activity is described herein. By way of example, such executive report can identify a change and related cause with respect to a prior report. As a particular example, an inference engine can receive an activity report and reference prior reports to identify the change and related cause. A set of results containing such information can be provided to a synthesis component that can include and highlight such information in the executive report. In addition, additional sources of data can be referenced in order to include and/or customize the report to a particular individual, organization, culture, or the like. As described, aspects of the subject innovation can provide an executive report highlighting important aspects of data and tailoring those aspects to interests of one or more users.
摘要翻译：本文描述了提供生成业务或个人活动的执行报告。作为例子，这样的执行报告可以针对先前的报告确定变更和相关原因。作为特定示例，推理引擎可以接收活动报告并参考先前报告以识别变化和相关原因。可以向综合组件提供包含此类信息的一组结果，其中可以在执行报告中包含和突出显示这些信息。此外，可以引用额外的数据来源，以便将报告包括和/或定制到特定个人，组织，文化等。如上所述，主题创新的方面可以提供强调数据的重要方面的执行报告，并将这些方面定制为一个或多个用户的兴趣。

40. 发明授权

US07761464B2 Diversifying search results for improved search and personalization 失效
标题翻译：多样化搜索结果，以改善搜索和个性化
公开(公告)号：US07761464B2
公开(公告)日：2010-07-20
申请号：US11425074
申请日：2006-06-19
申请人： Filip Radlinski , Susan T. Dumais , Eric J. Horvitz
发明人： Filip Radlinski , Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The claimed subject matter provides systems and/or methods that facilitate diversifying search results to improve searching and/or personalized searching. An interface component can receive a query. Additionally, a result diversification component can modify diversity of a set of search results obtained by a search engine in response to a query based at least in part upon one or more dimensions of diversity. The dimensions of diversity can include document topic, document type, document genre, domain of document, document age, location associated with the document, commercial characteristics of the document, user intent, and the like.
摘要翻译：所要求保护的主题提供促进多样化搜索结果以改进搜索和/或个性化搜索的系统和/或方法。一个接口组件可以接收一个查询。另外，结果多样化组件可以至少部分地基于分集的一个或多个维度来修改由搜索引擎获得的一组搜索结果的多样性，以响应于查询。多样性的维度可以包括文档主题，文档类型，文档类型，文档领域，文档年龄，与文档相关联的位置，文档的商业特征，用户意图等。

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