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    Balanced routing of questions to experts
    1.
    发明授权
    Balanced routing of questions to experts 有权
    向专家平衡路线问题

    公开(公告)号：US08751559B2

    公开(公告)日：2014-06-10

    申请号：US12211113

    申请日：2008-09-16

    Applicant: Matthew Richardson ,  Ryen W. White ,  Eric D. Brill

    Inventor： Matthew Richardson ,  Ryen W. White ,  Eric D. Brill

    IPC: G06F15/16

    CPC classification number: H04L67/306 ,  G06Q10/06 ,  H04L51/14

    Abstract: A question processing system routes questions among participants in a balanced and sustainable manner. Any participant can act as an inquirer (who poses questions) and an expert (who answers questions). In one illustrative case, the question processing system operates by: receiving a question from an inquirer; determining at least one expert that is appropriate to answer the question; and routing the question to the expert. The receiving, determining, and routing are repeated with respect to other inquirers and other experts to achieve a desired balance of information exchange among the plurality of participants of the electronic question processing system.

    Abstract translation: 问题处理系统以平衡和可持续的方式将参与者的问题提交给参与者。 任何参与者都可以作为询问者（提出问题）和专家（谁回答问题）。 在一个说明性情况下，问题处理系统通过以下操作：从查询者接收问题; 决定至少一名适合回答问题的专家; 并将问题路由到专家。 相对于其他查询者和其他专家重复接收，确定和路由以实现电子问题处理系统的多个参与者之间的信息交换的期望的平衡。

    Using popularity data for ranking
    4.
    发明授权
    Using popularity data for ranking 有权
    使用流行度数据进行排名

    公开(公告)号：US07783632B2

    公开(公告)日：2010-08-24

    申请号：US11266026

    申请日：2005-11-03

    Applicant: Matthew R. Richardson ,  Eric D. Brill ,  Robert J. Ragno ,  Robert L. Rounthwaite

    Inventor： Matthew R. Richardson ,  Eric D. Brill ,  Robert J. Ragno ,  Robert L. Rounthwaite

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30864

    Abstract: A unique ranking system and method that facilitates improving the ranking and ordering of objects to further enhance the quality, accuracy, and delivery of search results in response to a search query. The system and method involve monitoring and tracking an object in terms of the number of times it's been accessed and optionally by whom, when, for how long, and an access rate. The user's interaction with the object can be tracked as well. By tracking the objects, a popularity measure can be determined. Popularity based rankings can be computed based on the popularity measure or some function thereof. The popularity measure can be affected by the access time, who accessed it, access duration or the user's interaction with the object upon access. The popularity based rankings can be utilized by a search component to improve the quality and retrieval of search results.

    Abstract translation: 一种独特的排名系统和方法，有助于提高对象的排序和排序，以进一步提高搜索结果的质量，准确性和传递以响应搜索查询。 该系统和方法涉及根据访问次数来监视和跟踪对象，并且可选地由谁，何时，多长时间和访问速率来跟踪对象。 也可以跟踪用户与对象的交互。 通过跟踪对象，可以确定流行度量。 基于流行度的排名可以基于流行度量或其一些功能来计算。 流行度量可能受访问时间，访问时间，访问持续时间或用户与访问对象的交互的影响。 搜索组件可以利用基于流行度的排名来提高搜索结果的质量和检索。

    COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA
    6.
    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

    Applicant: Eric J. Horvitz ,  David R. Azari ,  Susan T. Dumais ,  Eric D. Brill

    Inventor： Eric J. Horvitz ,  David R. Azari ,  Susan T. Dumais ,  Eric D. Brill

    IPC: G06N5/02

    CPC classification number: G06F17/30684 ,  G06F17/30687 ,  Y10S707/99933

    Abstract: 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.

    Abstract translation: 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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