AUTHORITY RANKING
    1.
    发明申请
    AUTHORITY RANKING 有权
    授权排名

    公开(公告)号:US20110246484A1

    公开(公告)日:2011-10-06

    申请号:US12752155

    申请日:2010-04-01

    IPC分类号: G06F17/30 G06F15/16

    CPC分类号: G06F17/30867

    摘要: Concepts and technologies are described herein for authority ranking for real time and social search. An authority index configured to store data relating to sources is generated. Data relating to the sources, including an authority value, are generated and stored at the authority index. The authority value may be defined as a function of source, topic, and point of view (“POV”), as well as other data, if desired, and may be determined based upon one or more ranking functions. The ranking functions are determined, and data corresponding to the ranking functions is obtained. Each of the ranking functions may be weighted according to a weighting function, a confidence value or interval, one or more time functions, and/or other methods. The obtained authority value may be used for affecting ranking of search results or for other purposes.

    摘要翻译: 这里描述的概念和技术用于实时和社会搜索的权限排名。 生成用于存储与源相关的数据的权限索引。 与源相关的数据(包括权限值)生成并存储在权限索引中。 如果需要,权限值可以被定义为源,主题和观点(“POV”)的函数以及其他数据,并且可以基于一个或多个排序函数来确定。 确定排序函数,并且获得与排序函数对应的数据。 可以根据加权函数,置信度值或间隔,一个或多个时间函数和/或其他方法来对每个排序函数进行加权。 获得的权限值可以用于影响搜索结果的排名或用于其他目的。

    System and method for authority value obtained by defining ranking functions related to weight and confidence value
    2.
    发明授权
    System and method for authority value obtained by defining ranking functions related to weight and confidence value 有权
    通过定义与权重和置信度值相关的排序函数获得的权限值的系统和方法

    公开(公告)号:US08260789B2

    公开(公告)日:2012-09-04

    申请号:US12752155

    申请日:2010-04-01

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30867

    摘要: Concepts and technologies are described herein for authority ranking for real time and social search. An authority index configured to store data relating to sources is generated. Data relating to the sources, including an authority value, are generated and stored at the authority index. The authority value may be defined as a function of source, topic, and point of view (“POV”), as well as other data, if desired, and may be determined based upon one or more ranking functions. The ranking functions are determined, and data corresponding to the ranking functions is obtained. Each of the ranking functions may be weighted according to a weighting function, a confidence value or interval, one or more time functions, and/or other methods. The obtained authority value may be used for affecting ranking of search results or for other purposes.

    摘要翻译: 这里描述的概念和技术用于实时和社会搜索的权限排名。 生成用于存储与源相关的数据的权限索引。 与源相关的数据(包括权限值)生成并存储在权限索引中。 如果需要,权限值可以被定义为源,主题和观点(“POV”)的函数以及其他数据,并且可以基于一个或多个排序函数来确定。 确定排序函数,并且获得与排序函数对应的数据。 可以根据加权函数,置信度值或间隔,一个或多个时间函数和/或其他方法来对每个排序函数进行加权。 获得的权限值可以用于影响搜索结果的排名或用于其他目的。

    Hyperlocal smoothing
    3.
    发明授权
    Hyperlocal smoothing 有权
    超局部平滑

    公开(公告)号:US08788447B2

    公开(公告)日:2014-07-22

    申请号:US12820146

    申请日:2010-06-22

    IPC分类号: G06F9/44

    CPC分类号: G06F17/30241 G06F17/30312

    摘要: Concepts and technologies are described herein for hyperlocal smoothing. The hyperlocal smoothing solutions described herein provide a smooth view of data and events across hyperlocal geographic areas by combining sparse data available with inferred or extrapolated data. Additionally, the hyperlocal smoothing solutions described herein make use of contextual analysis to interpret service requests in a manner appropriate for a targeted hyperlocal area. Thus, the smooth view of data can be queried in a contextually sensitive manner to return relevant information for a hyperlocal geographic area, even in circumstances wherein data relevant to the hyperlocal geographic area is sparse or even non-existent.

    摘要翻译: 这里描述了用于超局部平滑的概念和技术。 本文描述的超局部平滑解决方案通过组合可用推断或外推数据的稀疏数据来提供横跨跨局部地理区域的数据和事件的平滑视图。 此外,本文描述的超局部平滑解决方案利用上下文分析以适合于目标超局部区域的方式来解释服务请求。 因此,即使在与本地地理区域相关的数据稀疏甚至不存在的情况下,可以以上下文敏感的方式查询数据的平滑视图以返回超局域地理区域的相关信息。

    HYPERLOCAL SMOOTHING
    4.
    发明申请

    公开(公告)号:US20110313968A1

    公开(公告)日:2011-12-22

    申请号:US12820146

    申请日:2010-06-22

    IPC分类号: G06N5/02

    CPC分类号: G06F17/30241 G06F17/30312

    摘要: Concepts and technologies are described herein for hyperlocal smoothing. The hyperlocal smoothing solutions described herein provide a smooth view of data and events across hyperlocal geographic areas by combining sparse data available with inferred or extrapolated data. Additionally, the hyperlocal smoothing solutions described herein make use of contextual analysis to interpret service requests in a manner appropriate for a targeted hyperlocal area. Thus, the smooth view of data can be queried in a contextually sensitive manner to return relevant information for a hyperlocal geographic area, even in circumstances wherein data relevant to the hyperlocal geographic area is sparse or even non-existent.

    摘要翻译: 这里描述了用于超局部平滑的概念和技术。 本文描述的超局部平滑解决方案通过组合可用推断或外推数据的稀疏数据来提供横跨跨局部地理区域的数据和事件的平滑视图。 此外,本文描述的超局部平滑解决方案利用上下文分析以适合于目标超局部区域的方式来解释服务请求。 因此,即使在与本地地理区域相关的数据稀疏甚至不存在的情况下,可以以上下文敏感的方式查询数据的平滑视图以返回超局域地理区域的相关信息。

    Functionality for personalizing search results
    5.
    发明授权
    Functionality for personalizing search results 有权
    个性化搜索结果的功能

    公开(公告)号:US08700544B2

    公开(公告)日:2014-04-15

    申请号:US13162906

    申请日:2011-06-17

    IPC分类号: G06N5/00 G06F1/00

    CPC分类号: G06F17/30011

    摘要: A query processing system is described herein for personalizing results for a particular user. The query processing system operates by receiving a query from a particular user u who intends to find results that satisfy the query with respect to a topic Tu, the user being characterized by user information θu. In one implementation, the query processing system then produces a generic topic distribution Prr(T|q) associated with the query that is germane to a population of generic users, as well as a user-specific query-dependent topic distribution Pr(Tu|q,θu) for the particular user. The query processing system then produces personalized results for the particular user based on Prr(T|q) and Pr(Tu|q,θu). The query processing system can use multiple techniques to produce Pr(Tu|q,θu), such as, in one approach, a discriminative learning approach.

    摘要翻译: 这里描述了一种用于个性化特定用户的结果的查询处理系统。 查询处理系统通过接收来自特定用户的查询,该用户u意图找到满足关于主题Tu的查询的结果,该用户由用户信息和图标表征; u。 在一个实现中,查询处理系统然后产生与查询相关联的通用主题分布Prr(T | q),该查询与普通用户的总体以及用户特定的查询相关主题分布Pr(Tu | q,&thetas; u)对于特定用户。 然后,查询处理系统基于Prr(T | q)和Pr(Tu | q,&thetas; u)产生针对特定用户的个性化结果。 查询处理系统可以使用多种技术来产生Pr(Tu | q,& tt; u),例如在一种方法中的歧视性学习方法。

    Executive reporting
    8.
    发明授权
    Executive reporting 有权
    行政报告

    公开(公告)号:US08239227B2

    公开(公告)日:2012-08-07

    申请号:US11874151

    申请日:2007-10-17

    IPC分类号: G06Q40/00

    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。

    Modeling Intent and Ranking Search Results Using Activity-based Context
    9.
    发明申请
    Modeling Intent and Ranking Search Results Using Activity-based Context 审中-公开
    使用基于活动的上下文建模意图和排名搜索结果

    公开(公告)号:US20120158685A1

    公开(公告)日:2012-06-21

    申请号:US12970875

    申请日:2010-12-16

    IPC分类号: G06F17/30

    CPC分类号: G06F16/9535

    摘要: The subject disclosure is directed towards building one or more context and query models representative of users' search interests based on their logged interaction behaviors (context) preceding search queries. The models are combined into an intent model by learning an optimal combination (e.g., relative weight) for combining the context model with a query model for a query. The resultant intent model may be used to perform a query-related task, such as to rank or re-rank online search results, predict future interests, select advertisements, and so forth.

    摘要翻译: 主题公开旨在基于在搜索查询之前的记录的交互行为(上下文)来构建表示用户搜索兴趣的一个或多个上下文和查询模型。 通过学习用于将上下文模型与用于查询的查询模型组合的最佳组合(例如,相对权重)将模型组合成意图模型。 所得到的意图模型可以用于执行查询相关任务,例如对在线搜索结果进行排名或重新排序,预测未来的兴趣,选择广告等等。

    DOMAIN EXPERTISE DETERMINATION
    10.
    发明申请
    DOMAIN EXPERTISE DETERMINATION 有权
    域名专家确定

    公开(公告)号:US20120117061A1

    公开(公告)日:2012-05-10

    申请号:US13350928

    申请日:2012-01-16

    IPC分类号: G06F17/30

    摘要: A user's domain expertise may be estimated through several factors by monitoring different aspects of a user's interaction with a web browser. Based on the user's domain expertise, search results may be presented to the user that is commensurate with their expertise, resulting in a more efficient and productive on line session. A user's expertise in a knowledge domain may be determined from the user's behavior, including analyzing search queries, monitoring how the user navigates between and through websites, and analyzing the specific cites visited. As a user interacts with a browser, the user's estimated domain expertise may be updated and used to provide appropriate and useful search results. In many embodiments, a user may have different expertise levels for different technical domains.

    摘要翻译: 通过监控用户与网络浏览器的交互的不同方面,可以通过几个因素来估计用户的领域专长。 根据用户的领域专业知识,搜索结果可能会提供给与其专业知识相称的用户,从而在线会话中实现更高效和高效。 用户在知识领域的专业知识可以根据用户的行为来确定,包括分析搜索查询,监控用户在网站之间浏览和浏览网站,以及分析访问的具体引用。 当用户与浏览器进行交互时,用户的估计领域专业知识可能被更新并用于提供适当和有用的搜索结果。 在许多实施例中,用户可以针对不同的技术领域具有不同的专业知识水平。