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102 条记录 (耗时 0.036 秒)

    COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA
    31.
    发明申请
    COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA 失效
    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。

    CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS
    33.
    发明申请
    CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
    基于语境的搜索，检索和意识

    公开(公告)号：US20080005067A1

    公开(公告)日：2008-01-03

    申请号：US11426981

    申请日：2006-06-28

    申请人： 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

    发明人： 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分类号： G06F17/30

    CPC分类号： G06F16/24575

    摘要： 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).

    摘要翻译： 提供了将用户上下文合并到基于计算机的搜索中的系统。 为了建立上下文，创新可以通过各种来源和传感器识别关于用户状态或上下文的信息。 状态/上下文信息可用于过滤，排列和/或排列搜索结果，以便于有意义地搜索和结果的收敛。 可以使用机器学习系统（隐式和/或显式训练）来推断与用户相关的当前和/或将来的上下文。 可以使用识别或推断的用户上下文来修改自动或用户定义的搜索输入/查询。 上下文提示可以直接考虑在对不同上下文中潜在兴趣或价值的信息项目的识别和/或排名进行优化的上下文敏感检索算法的上下文的构建和使用中。 同样，可以使用上下文来智能地呈现查询的结果（例如，定义的用户/应用程序，上下文修改的查询）。

    VIRTUAL SPOT MARKET FOR ADVERTISEMENTS
    34.
    发明申请
    VIRTUAL SPOT MARKET FOR ADVERTISEMENTS 审中-公开
    虚拟市场广告

    公开(公告)号：US20080004990A1

    公开(公告)日：2008-01-03

    申请号：US11427312

    申请日：2006-06-28

    申请人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

    发明人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q30/0601

    摘要： Architecture that facilitates online advertising taking on characteristics of a commodities market approach to purchasing advertising space, options for ad space and a futures market for online ad space. Available advertising space is identified and aggregated, and subsets of the aggregated ad space are offered for purchase using a commodities market-based approach. The architecture facilitates revenue-sharing paradigms, coupon delivery, targeted advertising, point-of-sale transactions, inventory control, just-in-time delivery of ads, content and product/services, value-based advertising models, etc. The architecture comprises an aggregation component that aggregates advertisement space information associated with online advertisements, and a transaction component that facilitates transacting subsets of the aggregated advertisement space information to bidders as a function of supply and demand. The aggregation component receives information about online advertising space that is now available, that will become available in the future, and that is predicted by prediction analysis to become available in the future. Advertisements and/or ad space can be specified based on dynamic sensing of contextual cues.

    摘要翻译： 促进网络广告采用商品市场购买广告空间的方式，广告空间选择和在线广告空间的期货市场的架构。 确定和汇总可用的广告空间，并使用基于商品市场的方法提供聚合广告空间的子集。 该架构促进收益分享范例，优惠券交付，有针对性的广告，销售点交易，库存控制，及时交付广告，内容和产品/服务，基于价值的广告模型等。架构包括 聚合与在线广告相关联的广告空间信息的聚合组件，以及有助于将聚合广告空间信息的子集作为供应和需求的函数交易给投标者的交易组件。 聚合组件接收有关现在可用的在线广告空间的信息，这将在将来可用，并且将通过预测分析预测将来可用。 广告和/或广告空间可以基于上下文提示的动态感知来指定。

    Integrating a Search Service with a Social Network Resource
    39.
    发明申请
    Integrating a Search Service with a Social Network Resource 审中-公开
    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。