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    Representing queries and determining similarity based on an ARIMA model
    52.
    发明授权
    Representing queries and determining similarity based on an ARIMA model 失效
    基于ARIMA模型表示查询和确定相似性

    公开(公告)号：US08090709B2

    公开(公告)日：2012-01-03

    申请号：US11770307

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02

    摘要： Representing queries and determining similarity of queries based on an autoregressive integrated moving average (“ARIMA”) model is provided. A query analysis system represents each query by its ARIMA coefficients. The query analysis system may estimate the frequency information for a desired past or future interval based on frequency information for some initial intervals. The query analysis system may also determine the similarity of a pair of queries based on the similarity of their ARIMA coefficients. The query analysis system may use various metrics, such as a correlation metric, to determine the similarity of the ARIMA coefficients.

    摘要翻译： 提供了基于自回归综合移动平均（“ARIMA”）模型的查询和确定查询的相似性。 查询分析系统通过其ARIMA系数表示每个查询。 查询分析系统可以基于一些初始间隔的频率信息来估计期望的过去或将来间隔的频率信息。 查询分析系统还可以基于它们的ARIMA系数的相似度来确定一对查询的相似性。 查询分析系统可以使用诸如相关度量的各种度量来确定ARIMA系数的相似性。

    Forecasting search queries based on time dependencies
    53.
    发明授权
    Forecasting search queries based on time dependencies 有权
    基于时间依赖性预测搜索查询

    公开(公告)号：US07685100B2

    公开(公告)日：2010-03-23

    申请号：US11770462

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02

    摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

    摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。

    Document characterization using a tensor space model
    54.
    发明授权
    Document characterization using a tensor space model 失效
    文档表征使用张量空间模型

    公开(公告)号：US07529719B2

    公开(公告)日：2009-05-05

    申请号：US11378095

    申请日：2006-03-17

    申请人： Ning Liu ,  Benyu Zhang ,  Jun Yan ,  Zheng Chen ,  Hua-Jun Zeng ,  Jian Wang

    发明人： Ning Liu ,  Benyu Zhang ,  Jun Yan ,  Zheng Chen ,  Hua-Jun Zeng ,  Jian Wang

    IPC分类号： G06N5/00

    CPC分类号： G06N5/02 ,  G06F17/30705

    摘要： Computer-readable media having computer-executable instructions and apparatuses categorize documents or corpus of documents. A Tensor Space Model (TSM), which models the text by a higher-order tensor, represents a document or a corpus of documents. Supported by techniques of multilinear algebra, TSM provides a framework for analyzing the multifactor structures. TSM is further supported by operations and presented tools, such as the High-Order Singular Value Decomposition (HOSVD) for a reduction of the dimensions of the higher-order tensor. The dimensionally reduced tensor is compared with tensors that represent possible categories. Consequently, a category is selected for the document or corpus of documents. Experimental results on the dataset for 20 Newsgroups suggest that TSM is advantageous to a Vector Space Model (VSM) for text classification.

    摘要翻译： 具有计算机可执行指令和设备的计算机可读介质将文档或语料库分类。 张量空间模型（TSM），其通过高阶张量对文本进行建模，表示文档或文档语料库。 由多线代数技术支持，TSM为多因素结构分析提供了框架。 TSM还受到操作和提出的工具的支持，例如用于降低高阶张量尺寸的高阶奇异值分解（HOSVD）。 将尺寸减小的张量与表示可能类别的张量进行比较。 因此，文档或文档的语料库选择一个类别。 20个新闻组的数据集的实验结果表明，TSM对于文本分类的向量空间模型（VSM）是有利的。

    IDENTIFICATION OF EVENTS OF SEARCH QUERIES
    55.
    发明申请
    IDENTIFICATION OF EVENTS OF SEARCH QUERIES 有权
    识别搜索查询的事件

    公开(公告)号：US20090006294A1

    公开(公告)日：2009-01-01

    申请号：US11770423

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06N5/00

    CPC分类号： G06F17/30864 ,  G06Q30/02

    摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

    摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测与时间无关的查询的频率，查询分析系统会随着时间的推移分析查询的频率，以确定频率的显着增加，这被称为“查询事件”或“事件”。 查询分析系统基于具有事件倾向于在要预测的查询的事件之前的查询来预测与时间无关的查询的频率。

    Constructing web query hierarchies from click-through data
    57.
    发明授权
    Constructing web query hierarchies from click-through data 有权
    从点击型数据构建Web查询层次结构

    公开(公告)号：US07870132B2

    公开(公告)日：2011-01-11

    申请号：US12020574

    申请日：2008-01-28

    申请人： Weizhu Chen ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang ,  Dou Shen

    发明人： Weizhu Chen ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang ,  Dou Shen

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864

    摘要： The claimed subject matter is directed to constructing query hierarchies in response to a query request. To construct a query hierarchy, a list of related candidate queries is generated in response to the received query request. The list of related candidate queries is generated by determining the relative coverage of information shared by the candidate queries and the query request. Relationships between the submitted query request and the candidate queries in the list are determined based upon the extent of relative coverage of information shared by the candidate queries and the query request. A query hierarchy is then constructed to reflect the determined relationships between the query request and the candidate queries.

    摘要翻译： 所要求保护的主题涉及响应于查询请求构建查询层次结构。 为了构建查询层次结构，响应于接收的查询请求生成相关候选查询的列表。 通过确定候选查询和查询请求共享的信息的相对覆盖率来生成相关候选查询的列表。 基于候选查询和查询请求共享的信息的相对覆盖范围确定列表中提交的查询请求与候选查询之间的关系。 然后构建查询层次结构以反映所确定的查询请求和候选查询之间的关系。

    Key phrase navigation map for document navigation
    58.
    发明授权
    Key phrase navigation map for document navigation 失效
    关键短语导航地图文件导航

    公开(公告)号：US07861149B2

    公开(公告)日：2010-12-28

    申请号：US11372365

    申请日：2006-03-09

    申请人： Min Wang ,  Benyu Zhang ,  Hua-Jun Zeng ,  Jian Wang ,  Shiguang Liu ,  Zheng Chen

    发明人： Min Wang ,  Benyu Zhang ,  Hua-Jun Zeng ,  Jian Wang ,  Shiguang Liu ,  Zheng Chen

    IPC分类号： G06F3/048 ,  G06F17/30

    CPC分类号： G06F17/30713 ,  G06F17/272 ,  G06F17/2775 ,  G06F17/30643 ,  Y10S707/92

    摘要： Computer-readable media having computer-executable instructions and apparatuses provide a keyphrase navigation map (KNM) for a document page. Keyphrases are extracted from the document page. Keyphrase clusters are subsequently formed by a measure of relevancy, and a salient keyphrase is determined for each cluster. A thumbnail is formed with tags corresponding to the salient keyphrases. A selected tag is expanded with associated keyphrases. An associated keyphrase may be further selected in order to facilitate the navigation of the document page. The displayed tags on the thumbnail are positioned in accordance with locations of associated keyphrases in the document page.

    摘要翻译： 具有计算机可执行指令和装置的计算机可读介质为文档页面提供关键词导航映射（KNM）。 从文档页面提取关键短语。 随后通过相关性的量度形成关键词组，并且为每个簇确定显着的关键短语。 使用与突出关键短语相对应的标签形成缩略图。 所选标签用相关的关键短语展开。 可以进一步选择相关联的关键短语，以便于文档页面的导航。 缩略图上显示的标签根据文档页面中相关联的关键短语的位置进行定位。

    Forecasting time-dependent search queries
    59.
    发明授权
    Forecasting time-dependent search queries 失效
    预测与时间相关的搜索查询

    公开(公告)号：US07693823B2

    公开(公告)日：2010-04-06

    申请号：US11770385

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864 ,  G06Q30/02

    摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

    摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。

    Identification of events of search queries
    60.
    发明授权
    Identification of events of search queries 有权
    识别搜索查询的事件

    公开(公告)号：US07689622B2

    公开(公告)日：2010-03-30

    申请号：US11770423

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864 ,  G06Q30/02

    摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

    摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。