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41. 发明授权

US07516113B2 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：US07516113B2
公开(公告)日：2009-04-07
申请号：US11469136
申请日：2006-08-31
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 , 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到搜索引擎（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。

42. 发明授权

US07293019B2 Principles and methods for personalizing newsfeeds via an analysis of information novelty and dynamics 失效
标题翻译：通过分析信息新奇和动态来个性化新闻素材的原理和方法
公开(公告)号：US07293019B2
公开(公告)日：2007-11-06
申请号：US10827729
申请日：2004-04-20
申请人： Susan T. Dumais , Eric J. Horvitz , Evgeniy Gabrilovich
发明人： Susan T. Dumais , Eric J. Horvitz , Evgeniy Gabrilovich
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30867 , Y10S707/99935 , Y10S707/99936 , Y10S707/99942
摘要： A system and methodology is provided for filtering temporal streams of information such as news stories by statistical measures of information novelty. Various techniques can be applied to custom tailor news feeds or other types of information based on information that a user has already reviewed. Methods for analyzing information novelty are provided along with a system that personalizes and filters information for users by identifying the novelty of stories in the context of stories they have already reviewed. The system employs novelty-analysis algorithms that represent articles as a bag of words and named entities. The algorithms analyze inter- and intra-document dynamics by considering how information evolves over time from article to article, as well as within individual articles.
摘要翻译：提供了一种系统和方法，用于通过信息新颖性的统计测量过滤信息的时间流，如新闻故事。基于用户已经审查的信息，可以将各种技术应用于定制定制新闻馈送或其他类型的信息。提供分析信息新颖性的方法以及通过在已经审查的故事的上下文中识别故事的新颖性来为用户个人化和过滤信息的系统。该系统采用新颖性分析算法，将文章表示为一包单词和命名实体。这些算法通过考虑随着时间的推移从文章到文章以及个人文章中的信息如何发展，分析了文档间和文档内部的动态。

43. 发明授权

US07089226B1 System, representation, and method providing multilevel information retrieval with clarification dialog 有权
标题翻译：系统，表示和方法提供多层次的信息检索与澄清对话框
公开(公告)号：US07089226B1
公开(公告)日：2006-08-08
申请号：US09893827
申请日：2001-06-28
申请人： Susan T. Dumais , Eric J. Horvitz
发明人： Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , Y10S707/956 , Y10S707/99933 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： An information retrieval system, including a learning and real-time classification methodology, is provided in accordance with the present invention. The system includes a hierarchal analysis component that receives a query and processes probabilities associated with N categories, each category having one or more topics, wherein N is an integer. An interactive component drives clarification dialog that is derived from the query and the probabilities associated with the N categories and the one or more topics. The clarification dialog, driven by a rule-based policy, a decision-theoretic analysis considering the costs of dialog to focus the results versus the costs of browsing larger lists, or combinations of rules and decision-theoretic analysis is employed when valuable to determine at least one category of the N categories to facilitate retrieval of at least one of the topics.
摘要翻译：根据本发明提供了包括学习和实时分类方法的信息检索系统。该系统包括层次分析组件，其接收查询并处理与N个类别相关联的概率，每个类别具有一个或多个主题，其中N是整数。交互式组件驱动从查询导出的澄清对话框，以及与N个类别和一个或多个主题相关联的概率。由基于规则的政策驱动的澄清对话，考虑到对话的成本的决策理论分析，将结果与浏览更大的列表的成本或规则和决策理论分析的组合进行比较，当有价值地确定至少一类N类，以便于检索至少一个主题。

44. 发明申请

US20090106059A1 EXECUTIVE REPORTING 有权
标题翻译：执行报告
公开(公告)号：US20090106059A1
公开(公告)日：2009-04-23
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： G06Q10/00 , G06F17/40 , G06F19/00
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。

45. 发明授权

US09244931B2 Time-aware ranking adapted to a search engine application 有权
标题翻译：符合搜索引擎应用程序的时间感知排名
公开(公告)号：US09244931B2
公开(公告)日：2016-01-26
申请号：US13270690
申请日：2011-10-11
申请人： Kira Radinsky , Susan T. Dumais , Krysta M Svore , Jaime Brooks Teevan , Eric J. Horvitz
发明人： Kira Radinsky , Susan T. Dumais , Krysta M Svore , Jaime Brooks Teevan , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30129 , G06F17/30864 , G06F17/30887 , G06N5/045 , G06N99/005
摘要： Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query.
摘要翻译：技术提供时间感知排名，例如信息排名，文件或URL（统一资源定位符）链接。例如，时间感知建模有助于确定对搜索引擎的查询的用户意图。响应于查询，结果以时间感知的方式排列，以更好地匹配用户意图。排名可能会对查询，URL和查询 - URL对行为进行建模，以分别创建时间感知查询，URL和查询 - URL对模型。这样的模型可以预测查询 - URL对的行为，例如当该对的查询提供给搜索引擎时，对对方的URL的点击的频率和时间。查询结果可能会按预测的查询网址行为进行排名。一旦排序，结果可能会发送给用户以响应查询。

46. 发明授权

US07693817B2 Sensing, storing, indexing, and retrieving data leveraging measures of user activity, attention, and interest 有权
标题翻译：利用用户活动，注意力和兴趣的度量来感知，存储，索引和检索数据
公开(公告)号：US07693817B2
公开(公告)日：2010-04-06
申请号：US11172121
申请日：2005-06-29
申请人： Susan T. Dumais , Eric J. Horvitz
发明人： Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： H04L51/34 , H04L67/22 , Y10S707/99932
摘要： Various components and processes are provided to enable data processing on multiple data types where aspects of the history of user activity, attention, interest, location, or other interaction with data is determined and employed to enhance information storage and access. In one particular aspect, a data manipulation system is provided. The system includes one or more data items that are associated with one or more tags and indicate at least one user's interaction or activity with the data items. A manipulation tool that processes the data items to determine a subset of data items based at least in part on the user's interaction with the data items. Methods are described for using the manipulation tool to weight terms in an index, to compress indexes, to influence the rank of items returned in a search, to generate additional queries for data items either automatically or with user direction, or for improved presentation of data items.
摘要翻译：提供了各种组件和过程，以便能够确定多种数据类型的数据处理，其中确定用户活动，注意力，兴趣，位置或其他与数据的交互的历史的方面以增强信息存储和访问。在一个特定方面，提供了数据操纵系统。系统包括与一个或多个标签相关联的一个或多个数据项，并指示至少一个用户与数据项的交互或活动。操纵工具，其至少部分地基于用户与数据项的交互来处理数据项以确定数据项的子集。描述了使用操纵工具对索引中的权重进行加权，压缩索引，影响搜索中返回的项目的等级的方法，以自动地或与用户方向生成对数据项的附加查询，或用于改进数据呈现物品。

47. 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。

48. 发明申请

US20110252011A1 Integrating a Search Service with a Social Network Resource 审中-公开
标题翻译：将搜索服务与社交网络资源集成
公开(公告)号：US20110252011A1
公开(公告)日：2011-10-13
申请号：US12756202
申请日：2010-04-08
申请人： Meredith J. Morris , Jaime Teevan , Katrina M. Panovich , Aravind Bala , Jonathan Garcia , Susan T. Dumais , Eric J. Horvitz
发明人： Meredith J. Morris , Jaime Teevan , Katrina M. Panovich , Aravind Bala , Jonathan Garcia , Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F15/16 , G06F17/30
CPC分类号： H04L51/32 , H04L12/185
摘要： A system is described for integrating a search engine and one or more social network resources. The system operates by determining whether a search operation being conducted by a user warrants interaction with a social network resource. If so, the system may provide an invitation to the user to forward a query-related message to the social network resource. The system then sends the message to a group of contacts via the social network resource, where the group of contacts can be defined in various ways. The system receives a response from at least one contact in the group of contacts and presents that response to the user using various delivery mechanisms, as governed by various delivery timings.
摘要翻译：描述了用于集成搜索引擎和一个或多个社交网络资源的系统。该系统通过确定由用户进行的搜索操作是否需要与社交网络资源的交互来进行操作。如果是这样，系统可以向用户提供向社交网络资源转发查询相关消息的邀请。系统然后通过社交网络资源将消息发送到一组联系人，其中可以以各种方式定义联系人组。该系统从联系人组中的至少一个联系人接收响应，并且使用各种递送机制向用户呈现该响应，这些传送机制由各种递送定时来管理。

49. 发明授权

US07970721B2 Learning and reasoning from web projections 有权
标题翻译：从网络预测学习和推理
公开(公告)号：US07970721B2
公开(公告)日：2011-06-28
申请号：US11763719
申请日：2007-06-15
申请人： Jurij Leskovec , Susan T. Dumais , Eric J. Horvitz
发明人： Jurij Leskovec , Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06F17/30864 , G06F17/30722
摘要： A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects of interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs.
摘要翻译：促进和实现与上下文中的感兴趣对象相关的推理的系统和方法。网络投影组件可以通过将感兴趣的对象投影到表示超集或部分重叠的对象集合到所关注的对象的网络图上来生成子图。推理组件可以提供与感兴趣对象的质量，上下文的调整以及从子图的图形属性识别的模式的推论。

50. 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。

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