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    • 73. 发明授权
    • System, representation, and method providing multilevel information retrieval with clarification dialog
    • 系统,表示和方法提供多层次的信息检索与澄清对话框
    • US07089226B1
    • 2006-08-08
    • US09893827
    • 2001-06-28
    • Susan T. DumaisEric J. Horvitz
    • Susan T. DumaisEric J. Horvitz
    • G06F17/30
    • G06F17/30705Y10S707/956Y10S707/99933Y10S707/99942Y10S707/99943Y10S707/99944Y10S707/99945
    • 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.
    • 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。
    • 77. 发明授权
    • Probablistic models and methods for combining multiple content classifiers
    • 用于组合多个内容分类器的概念模型和方法
    • US07107254B1
    • 2006-09-12
    • US09850172
    • 2001-05-07
    • Susan T. DumaisEric J. HorvitzPaul Nathan Bennett
    • Susan T. DumaisEric J. HorvitzPaul Nathan Bennett
    • G06N5/02
    • G06N7/005
    • The invention applies a probabilistic approach to combining evidence regarding the correct classification of items. Training data and machine learning techniques are used to construct probabilistic dependency models that effectively utilize evidence. The evidence includes the outputs of one or more classifiers and optionally one or more reliability indicators. The reliability indicators are, in a broad sense, attributes of the items being classified. These attributes can include characteristics of an item, source of an item, and meta-level outputs of classifiers applied to the item. The resulting models include meta-classifiers, which combine evidence from two or more classifiers, and tuned classifiers, which use reliability indicators to inform the interpretation of classical classifier outputs. The invention also provides systems and methods for identifying new reliability indicators.
    • 本发明应用概率方法来合并关于项目正确分类的证据。 训练数据和机器学习技术用于构建有效利用证据的概率依赖模型。 证据包括一个或多个分类器的输出和可选的一个或多个可靠性指标。 在广义上,可靠性指标是被归类的物品的属性。 这些属性可以包括项目的特征,项目的来源以及应用于项目的分类器的元级输出。 所得到的模型包括组合来自两个或更多个分类器的证据的分类器和使用可靠性指标来通知经典分类器输出的解释的调谐分类器。 本发明还提供用于识别新的可靠性指标的系统和方法。
    • 80. 发明申请
    • SOCIAL NETWORKS SERVICE
    • 社交网络服务
    • US20090313235A1
    • 2009-12-17
    • US12137665
    • 2008-06-12
    • Alexander G. GounaresEric J. HorvitzKenneth D. RayOren RosenbloomHubert Van HoofChris Demetrios Karkanias
    • Alexander G. GounaresEric J. HorvitzKenneth D. RayOren RosenbloomHubert Van HoofChris Demetrios Karkanias
    • G06F17/30
    • G06Q30/02
    • A social network service provides trusted, timely and managed communications between a querying individual and an informed individual by optimizing distribution of queries to reflect a requisite amount of expertise necessary (i.e., interest, background, education, demographic attribute, etc.). Those candidate recipients with a rare level of expertise or specialization can specify a desired level of participation, which is respected. In order not to exhaust their availability, those who are less qualified or part of a larger demographic category appropriate for the query are selected to handle queries of lesser difficulty or less specialization. Anonymity if desired by the recipient party can be supported by increasing the pool of candidate recipients so that the querying party cannot reasonably ascertain who is responding. Timeliness of response, as well as satisfaction in the response, is tracked in order to affect redirection of a query.
    • 社交网络服务通过优化查询的分发来提供查询个人和知情人士之间的信任,及时和管理的通信,以反映必要的专业知识(即兴趣,背景,教育,人口特征等)。 那些具有罕见的专业知识或专业能力的候选人可以指定所期望的参与程度,这是值得尊重的。 为了不耗尽其可用性,选择较少资格的人员或适合查询的较大人口学类别的一部分来处理难度较小或较少专业化的查询。 可以通过增加候选接收者池来支持匿名,如果接收方需要,可以通过增加候选接收方的池来支持,以便查询方无法合理地确定谁在响应。 跟踪响应的及时性以及响应中的满意度,以便影响查询的重定向。