Real Time Query Trends with Multi-Document Summarization
    1.
    发明申请
    Real Time Query Trends with Multi-Document Summarization 审中-公开
    实时查询趋势与多文档摘要

    公开(公告)号:US20130124556A1

    公开(公告)日:2013-05-16

    申请号:US13620237

    申请日:2012-09-14

    Abstract: A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information.

    Abstract translation: 可以向用户提供“热门话题”的列表,以指示当前流行的信息。 当用户输入与主题相关的大量搜索查询时,主题可能被视为流行。 搜索系统可以接收和分析已发布信息的电子源,以确定特定流行主题为何受欢迎的原因。 如果与多个发布信息的电子来源有关的特定流行主题的内容相关的内容,则可以使用文本摘要技术来确定流行主题为什么在多个发布的信息的电子源中受欢迎的原因。

    REAL TIME QUERY TRENDS WITH MULTI-DOCUMENT SUMMARIZATION
    2.
    发明申请
    REAL TIME QUERY TRENDS WITH MULTI-DOCUMENT SUMMARIZATION 审中-公开
    实时查询趋势与多文档总结

    公开(公告)号:US20100088322A1

    公开(公告)日:2010-04-08

    申请号:US12574437

    申请日:2009-10-06

    CPC classification number: G06F16/90335 G06F16/951 Y10S707/99933

    Abstract: A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information.

    Abstract translation: 可以向用户提供“热门话题”的列表,以指示当前流行的信息。 当用户输入与主题相关的大量搜索查询时,主题可能被视为流行。 搜索系统可以接收和分析已发布信息的电子源,以确定特定流行主题为何受欢迎的原因。 如果与多个发布信息的电子来源有关的特定流行主题的内容相关的内容,则可以使用文本摘要技术来确定流行主题为什么在多个发布的信息的电子源中受欢迎的原因。

    Product and process for inhibition of biofilm development
    3.
    发明申请
    Product and process for inhibition of biofilm development 审中-公开
    抑制生物膜发育的产物和方法

    公开(公告)号:US20060030539A1

    公开(公告)日:2006-02-09

    申请号:US11197897

    申请日:2005-08-04

    Abstract: Disclosed are compositions and methods for the inhibition of biofilm formation or reduction of existing or developing biofilms in a patient. These methods also inhibit the aggregation of bacteria that form biofilms in the airways. The methods include administering to a subject that has or is at risk of developing biofilms a compound or formulation that inhibits the formation or polymerization of actin microfilaments or depolymerizes actin microfilaments at or proximal to the site of biofilm formation. Such a compound can be administered in combination with a compound or formulation that inhibits the accumulation or activity of cells that are likely to undergo necrosis at or proximal to the site of biofilm formation (i.e., neutrophils). The methods and compositions can further include the use of anti-DNA and/or anti-mucin compounds, as well as other therapeutic compounds and compositions.

    Abstract translation: 公开了用于抑制患者中生物膜形成或减少现有或显影生物膜的组合物和方法。 这些方法还抑制在气道中形成生物膜的细菌聚集。 所述方法包括对具有或具有发展生物膜风险的受试者施用抑制肌动蛋白微丝的形成或聚合或在生物膜形成部位或其附近解聚肌动蛋白微丝的化合物或制剂。 这种化合物可以与抑制可能在生物膜形成部位(即嗜中性粒细胞)处或近端发生坏死的细胞的积累或活性的化合物或制剂组合施用。 所述方法和组合物还可包括使用抗DNA和/或抗粘蛋白化合物以及其它治疗化合物和组合物。

    Real time query trends with multi-document summarization
    4.
    发明申请
    Real time query trends with multi-document summarization 有权
    实时查询趋势与多文档摘要

    公开(公告)号:US20070094247A1

    公开(公告)日:2007-04-26

    申请号:US11384418

    申请日:2006-03-21

    CPC classification number: G06F17/30979 G06F17/30864 Y10S707/99933

    Abstract: A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information.

    Abstract translation: 可以向用户提供“热门话题”的列表,以指示当前流行的信息。 当用户输入与主题相关的大量搜索查询时,主题可能被视为流行。 搜索系统可以接收和分析已发布信息的电子源,以确定特定流行主题为何受欢迎的原因。 如果与多个发布信息的电子来源有关的特定流行主题的内容相关的内容,则可以使用文本摘要技术来确定流行主题为什么在多个发布的信息的电子源中受欢迎的原因。

    Real time query trends with multi-document summarization
    6.
    发明授权
    Real time query trends with multi-document summarization 有权
    实时查询趋势与多文档摘要

    公开(公告)号:US07613690B2

    公开(公告)日:2009-11-03

    申请号:US11384418

    申请日:2006-03-21

    CPC classification number: G06F17/30979 G06F17/30864 Y10S707/99933

    Abstract: A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information.

    Abstract translation: 可以向用户提供“热门话题”的列表,以指示当前流行的信息。 当用户输入与主题相关的大量搜索查询时,主题可能被视为流行。 搜索系统可以接收和分析已发布信息的电子源,以确定特定流行主题为何受欢迎的原因。 如果与多个发布信息的电子来源有关的特定流行主题的内容相关的内容,则可以使用文本摘要技术来确定流行主题为什么在多个发布的信息的电子源中受欢迎的原因。

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