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    Relational learning for system imitation
    3.
    发明授权
    Relational learning for system imitation 有权
    系统模仿的关系学习

    公开(公告)号：US08862523B2

    公开(公告)日：2014-10-14

    申请号：US13363398

    申请日：2012-02-01

    Applicant: Matthew Richardson ,  Aniruddh Nath

    Inventor： Matthew Richardson ,  Aniruddh Nath

    IPC: G06N5/00 ,  G06F1/00 ,  G06N99/00 ,  A63F3/02

    CPC classification number: G06N99/005 ,  A63F3/022

    Abstract: Technologies pertaining to learning a computer-executable imitation system that imitates behavior of an existing computer-executable system are described herein. Behavior of an existing computer-executable system can be monitored through monitoring data input to the existing computer-executable system and data output by the existing computer-executable system responsive to receipt of the input data. An imitation system that imitates the behavior of the existing system can be learned, wherein the imitation system comprises a relational model.

    Abstract translation: 本文描述了关于学习模拟现有计算机可执行系统的行为的计算机可执行仿制系统的技术。 可以通过监视输入到现有计算机可执行系统的数据和由现有计算机可执行系统输出的数据来响应于接收到输入数据来监视现有计算机可执行系统的行为。 可以了解模仿现有系统的行为的仿制系统，其中仿制系统包括关系模型。

    MODIFICATION OF RELATIONAL MODELS
    5.
    发明申请
    MODIFICATION OF RELATIONAL MODELS 有权
    相关模型的修改

    公开(公告)号：US20110040721A1

    公开(公告)日：2011-02-17

    申请号：US12914225

    申请日：2010-10-28

    Applicant: Lilyana Simeonova Mihalkova ,  Matthew Richardson

    Inventor： Lilyana Simeonova Mihalkova ,  Matthew Richardson

    IPC: G06N7/02

    CPC classification number: G06F17/30539 ,  G06F17/30294

    Abstract: Described herein is a system that facilitates modifying a relational model. The relational model is modified based at least in part upon an identity of a user, and the modified relational model is used to predict queries or advertisements that are of interest to the user. Examples of relational models that are modifiable include a Markov Logic Network, a probabilistic relational model, a BLOG relational model, a structural logistic regression relational model, a relational dependency network, or a probabilistic entity relationship model.

    Abstract translation: 这里描述了有助于修改关系模型的系统。 关系模型至少部分地基于用户的身份进行修改，并且修改的关系模型用于预测用户感兴趣的查询或广告。 可修改的关系模型的例子包括马尔科夫逻辑网络，概率关系模型，BLOG关系模型，结构逻辑回归关系模型，关系依赖网络或概率实体关系模型。

    On-site search engine for the World Wide Web
    6.
    发明授权
    On-site search engine for the World Wide Web 失效
    万维网的现场搜索引擎

    公开(公告)号：US07783689B2

    公开(公告)日：2010-08-24

    申请号：US11588055

    申请日：2006-10-26

    Applicant: Matthew Richardson ,  Wisam Dakka

    Inventor： Matthew Richardson ,  Wisam Dakka

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30864 ,  Y10S707/99943

    Abstract: Providing updates to a computing device having a search engine capable of searching a local data store having an index with data related to a plurality of sites located on a wide area network. A first index builder capable of accessing sites on a wide area network is provided. The first index builder retrieves and analyzes data from the sites to create index data related to the sites. The method further includes communicating index data to the locally stored database for incrementally updating the index. A computing device capable of accessing a local data storage device is also provided. The device includes an index stored on the storage device including information related to data stored on the wide area network, a search engine capable of searching the index to retrieve information in response to a query, and a display.

    Abstract translation: 向具有搜索引擎的计算设备提供更新，所述搜索引擎能够搜索具有与位于广域网上的多个站点相关的数据的索引的本地数据存储。 提供能够访问广域网上的站点的第一个索引构建器。 第一个索引构建器检索和分析站点中的数据，以创建与站点相关的索引数据。 该方法还包括将索引数据传送到本地存储的数据库以逐渐更新索引。 还提供了能够访问本地数据存储设备的计算设备。 该设备包括存储在存储设备上的索引，包括与存储在广域网中的数据相关的信息，能够搜索索引以响应于查询来检索信息的搜索引擎和显示。

    Balanced Routing of Questions to Experts
    7.
    发明申请
    Balanced Routing of Questions to Experts 有权
    向专家平衡路线问题

    公开(公告)号：US20100070554A1

    公开(公告)日：2010-03-18

    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
    8.
    发明申请
    Using popularity data for ranking 有权
    使用流行度数据进行排名

    公开(公告)号：US20070100824A1

    公开(公告)日：2007-05-03

    申请号：US11266026

    申请日：2005-11-03

    Applicant: Matthew Richardson ,  Eric Brill ,  Robert Ragno ,  Robert Rounthwaite

    Inventor： Matthew Richardson ,  Eric Brill ,  Robert Ragno ,  Robert Rounthwaite

    IPC: G06F7/00

    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名和排序，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。

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