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公开(公告)号：US09619554B2
公开(公告)日：2017-04-11
申请号：US13288593
申请日：2011-11-03
申请人： Xin Liu , Nitin Agrawal , James Francis Gilsinan, IV , James B. Lawson , Brian Whalen MacDonald , Mairéad Áine O'Donovan , Kimberly M. Vlcek , Nipoon Malhotra
发明人： Xin Liu , Nitin Agrawal , James Francis Gilsinan, IV , James B. Lawson , Brian Whalen MacDonald , Mairéad Áine O'Donovan , Kimberly M. Vlcek , Nipoon Malhotra
CPC分类号： G06F17/3064
摘要： Systems, methods, and computer-readable storage media for providing query-completion suggestions configured to be searched against vertical information domains in response to receiving a general web search query are provided. At least a portion of a general web search query is received. As the portion of the general web search query is received, query-completion suggestions are determined as is a likely primary intent associated with at least a portion of the determined query-completion suggestions. If the likely primary intent associated with a particular query-completion suggestion is for information associated with a particular vertical information domain other than the general web domain, the query-completion suggestion is provided such that selection thereof causes searching of the query-completion suggestion against the particular information domain for search results.
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公开(公告)号：US08650173B2
公开(公告)日：2014-02-11
申请号：US12821134
申请日：2010-06-23
IPC分类号： G06F7/00
CPC分类号： G06F17/3089
摘要： Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.
摘要翻译： 这里描述了将搜索结果放置在搜索引擎结果页（SERP）上的技术。 可能会收到查询。 查询可以被发送到多个搜索结果提供者。 可以从搜索结果提供者接收第一组搜索结果和第二组搜索结果。 可以从第一组搜索结果中提取意图特征。 可以基于提取的意图特征来推断第二组搜索结果的用户意图。 第一组搜索结果和第二组搜索结果可以基于推断的用户意图进行排名。 可以根据排名的第一组和第二组搜索结果呈现SERP。
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公开(公告)号：US20110320440A1
公开(公告)日：2011-12-29
申请号：US12821134
申请日：2010-06-23
IPC分类号： G06F17/30
CPC分类号： G06F17/3089
摘要： Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.
摘要翻译： 这里描述了将搜索结果放置在搜索引擎结果页（SERP）上的技术。 可能会收到查询。 查询可以被发送到多个搜索结果提供者。 可以从搜索结果提供者接收第一组搜索结果和第二组搜索结果。 可以从第一组搜索结果中提取意图特征。 可以基于提取的意图特征来推断第二组搜索结果的用户意图。 第一组搜索结果和第二组搜索结果可以基于推断的用户意图进行排名。 可以根据排名的第一组和第二组搜索结果呈现SERP。
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公开(公告)号：US08370337B2
公开(公告)日：2013-02-05
申请号：US12762929
申请日：2010-04-19
申请人： Tapas Kanungo , Kumaresh Pattabiraman , Nitin Agrawal , Kieran Richard McDonald , Christopher Avery Meyers , Nipoon Malhotra
发明人： Tapas Kanungo , Kumaresh Pattabiraman , Nitin Agrawal , Kieran Richard McDonald , Christopher Avery Meyers , Nipoon Malhotra
CPC分类号： G06N99/005 , G06F17/30882
摘要： Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.
摘要翻译： 提供了具有其上包含计算机可执行指令的方法和计算机存储介质，其利用基于点击的数据便于生成用于对搜索结果进行排名的机器学习模型。 数据来自用户查询，可能包括由一般搜索引擎和垂直搜索引擎生成的搜索结果。 从搜索结果生成训练集，并且基于点击的判断与训练集中的搜索结果相关联。 基于点击判断，可以从训练集中的搜索结果确定可识别的特征。 基于确定训练集中的可识别特征，生成用于对后续搜索结果进行排序的规则集。
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公开(公告)号：US08719246B2
公开(公告)日：2014-05-06
申请号：US12824879
申请日：2010-06-28
申请人： Robert Williams , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
发明人： Robert Williams , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
CPC分类号： G06F17/30864 , G06F17/3064
摘要： The present invention is directed to presenting a suggested search query. Responsive to receiving a user-devised search parameter, a suggested search query is identified. The user-devised search parameter might have been previously received by a search system, or alternatively, might be a unique query that has not been previously received. A suggested search query might be generated using various techniques, such as by applying an n-gram language model. A classification of the suggested search query is determined, and the suggested search query is presented together with a visual indicator, which signifies the classification.
摘要翻译： 本发明旨在呈现建议的搜索查询。 响应于接收用户设计的搜索参数，识别出建议的搜索查询。 用户设计的搜索参数可能先前已经被搜索系统接收，或者可以是先前未被接收到的唯一查询。 可以使用各种技术来生成建议的搜索查询，例如通过应用n-gram语言模型。 确定建议的搜索查询的分类，并将建议的搜索查询与视觉指示符一起呈现，这意味着分类。
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公开(公告)号：US20090313237A1
公开(公告)日：2009-12-17
申请号：US12138970
申请日：2008-06-13
申请人： Nitin Agrawal , Krishna Gade
发明人： Nitin Agrawal , Krishna Gade
CPC分类号： G06F17/30731 , G06F17/3064
摘要： A method for suggesting related queries to a user query using semantic relationships that are present in informational content stored in public domains. Semantic relationships between named entities are discovered and the named entities are extracted. The entities are indexed according to the relationships. When a user query is received that includes one of the entities, query suggestions are returned to the user based on indexed relationships corresponding to the entity named in the user query.
摘要翻译： 使用存在于公共领域中的信息内容中存在的语义关系向用户查询建议相关查询的方法。 发现命名实体之间的语义关系，并提取命名实体。 实体根据关系进行索引。 当接收到包含其中一个实体的用户查询时，将根据与用户查询中指定的实体对应的索引关系向用户返回查询建议。
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公开(公告)号：US6044448A
公开(公告)日：2000-03-28
申请号：US991392
申请日：1997-12-16
申请人： Nitin Agrawal , Sunil Nanda
发明人： Nitin Agrawal , Sunil Nanda
CPC分类号： G06F9/30032 , G06F15/7867 , G06F15/8015 , G06F9/30036 , G06F9/30101 , G06F9/30109 , G06F9/3885
摘要： A processor having a sliceable architecture wherein a slice is the minimum configuration of the processor datapath. The processor can instantiate multiple slices and each slice has a separate datapath. The total processor datapath is the sum of the number of slices multiplied by the width of a slice. Accordingly, all general purpose registers in the processor are as wide as the total datapath. A program executing on the processor can determine the maximum number of slices available in a particular processor by reading a register. In addition, a program can select the number of slices it will use by writing to a different register. The processor replicates control signals for each active slice in the processor and supports instructions for transferring data among the slices. Furthermore, the processor supports a set of instructions for fetching and storing data between multiple slices and the memory. The effective addresses of the fetch and store instructions can either be aligned or misaligned with respect to slice boundaries and doubleword boundaries in the memory.
摘要翻译： 具有可切片架构的处理器，其中切片是处理器数据路径的最小配置。 处理器可以实例化多个片段，每个片段具有单独的数据路径。 总处理器数据路径是切片数乘以切片宽度的总和。 因此，处理器中的所有通用寄存器与总数据路径一样宽。 在处理器上执行的程序可以通过读取寄存器来确定特定处理器中可用的最大片数。 此外，程序可以通过写入不同的寄存器来选择要使用的片数。 处理器为处理器中的每个活动切片重复控制信号，并且支持在切片之间传送数据的指令。 此外，处理器支持用于在多个片和存储器之间取出和存储数据的一组指令。 获取和存储指令的有效地址可以相对于存储器中的切片边界和双字边界对准或不对准。
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公开(公告)号：US08150841B2
公开(公告)日：2012-04-03
申请号：US12690184
申请日：2010-01-20
申请人： Christopher Avery Meyers , Gopi Prashanth Gopal , Andrew Peter Oakley , Nitin Agrawal , Nicholas Eric Craswell , Milad Shokouhi , Derrick Leslie Connell , Sanaz Ahari , Neil Bruce Sharman , Gaurav Sareen , Hugh Evan Williams , Jay Kumar Goyal
发明人： Christopher Avery Meyers , Gopi Prashanth Gopal , Andrew Peter Oakley , Nitin Agrawal , Nicholas Eric Craswell , Milad Shokouhi , Derrick Leslie Connell , Sanaz Ahari , Neil Bruce Sharman , Gaurav Sareen , Hugh Evan Williams , Jay Kumar Goyal
CPC分类号： G06F17/30448 , G06Q30/0254
摘要： Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.
摘要翻译： 提供了方法，系统和媒体，用于识别和聚集正在日益普及的查询。 可以使用文本和时间相关性将所产生的聚类查询与其他存储的查询进行比较。 搜索包含最近爬取的内容源的信息和结果的新索引以获取最近的查询活动。 还搜索历史索引以获得与聚集查询流匹配的时间相关信息和结果。 可以计算穗的加权平均加速度，以区分合法穗和非合法穗。 合法集群与其他存储的集群组合，并以分组的内容结果呈现给用户输出设备。
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公开(公告)号：US08082278B2
公开(公告)日：2011-12-20
申请号：US12138970
申请日：2008-06-13
申请人： Nitin Agrawal , Krishna Gade
发明人： Nitin Agrawal , Krishna Gade
IPC分类号： G06F17/30
CPC分类号： G06F17/30731 , G06F17/3064
摘要： A method for suggesting related queries to a user query using semantic relationships that are present in informational content stored in public domains. Semantic relationships between named entities are discovered and the named entities are extracted. The entities are indexed according to the relationships. When a user query is received that includes one of the entities, query suggestions are returned to the user based on indexed relationships corresponding to the entity named in the user query.
摘要翻译： 使用存在于公共领域中的信息内容中存在的语义关系向用户查询建议相关查询的方法。 发现命名实体之间的语义关系，并提取命名实体。 实体根据关系进行索引。 当接收到包含其中一个实体的用户查询时，将根据与用户查询中指定的实体对应的索引关系向用户返回查询建议。
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公开(公告)号：US20100228744A1
公开(公告)日：2010-09-09
申请号：US12392015
申请日：2009-02-24
CPC分类号： G06F17/30905
摘要： A method, system, and medium are provided for enhancing a search result snippet that is associated with a URL. Potentially descriptive terms of the URL are identified by reconciling multiple sources of terms related to the URL. One aspect includes comparing search terms of historically relevant queries to anchor text for the URL. The search result snippet might be intelligently enhanced by causing common terms to be visibly distinguished when the snippet is displayed.
摘要翻译： 提供了一种方法，系统和介质，用于增强与URL相关联的搜索结果片段。 通过协调与URL相关的多个术语来源来识别URL的潜在描述性术语。 一个方面包括将历史相关查询的搜索条件与URL的锚文本进行比较。 搜索结果代码段可能会通过在显示代码段时明显区分通用术语来智能地增强。
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