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1.发明授权公开(公告)号：US08803882B2
公开(公告)日：2014-08-12
申请号：US12134334
申请日：2008-06-06
CPC分类号： G06F17/30389 , G06F17/30864
摘要： Computer-readable media and computerized methods for identifying candidate points on a graphical depiction of relative popularity of an entity (e.g., entertainer, sports team, and the like) are provided. Points on the graphical depiction are ranked based on a number of user-submitted web queries that reference the entity that are received during a particular time frame. Peak points and slope values (i.e., derived from an angle of inclination of inclines on the graphical depiction) may be captured by analyzing movements in the rank of an entity over time. An algorithmic process may then be applied to the peak points and slope values to determine points of interest of the entity's popularity, such as the highest-ranked periods and/or dramatic positive movements in rank of the entity. These points of interest are selected as candidate points and are surfaced as icons on a visual representation of the graphical depiction.
摘要翻译： 提供了用于识别实体（例如，艺人，运动团队等）的相对受欢迎程度的图形描绘上的候选点的计算机可读介质和计算机化方法。 基于在特定时间框架内引用实体的用户提交的Web查询的数量来对图形描述上的点进行排序。 峰值点和斜率值（即，从图形描绘上的倾斜倾角导出）可以通过分析实体随时间推移的运动来捕获。 然后可以将算法过程应用于峰值点和斜率值，以确定实体的受欢迎程度的兴趣点，例如实体排名中排名最高的周期和/或剧烈的正移动。 这些兴趣点被选为候选点，并且作为图形描绘的视觉表示的表示。
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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：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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公开(公告)号：US08984012B2
公开(公告)日：2015-03-17
申请号：US13528411
申请日：2012-06-20
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Embodiment described herein are directed to an enhanced search engine with multiple feedback loops for providing optimal search results that are responsive a user's search query. The user's search query is parsed, and based on the underlying terms, different linguistic models and refinement techniques generate alternative candidate search queries that may yield better results. Searches are performed for the original search query and the candidate search queries, and different scores are used to select the best search results to present to the user. Results making it onto the list, as well as the underlying candidate search query, linguistic model, or refinement technique for generating that search query, will have their corresponding scores updated to reflect their success of generating a search result. Scores are stored and used by future searches to come up with better results.
摘要翻译： 本文描述的实施例涉及具有多个反馈回路的增强搜索引擎，用于提供响应用户搜索查询的最佳搜索结果。 用户的搜索查询被解析，并且基于基础术语，不同的语言模型和细化技术产生可能产生更好结果的替代候选搜索查询。 对原始搜索查询和候选搜索查询执行搜索，并且使用不同的分数来选择要呈现给用户的最佳搜索结果。 将其列入列表的结果以及用于生成该搜索查询的底层候选搜索查询，语言模型或细化技术将更新其相应的分数，以反映其生成搜索结果的成功。 未来的搜索记录和使用得分可以获得更好的结果。
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公开(公告)号：US20110016115A1
公开(公告)日：2011-01-20
申请号：US12890043
申请日：2010-09-24
IPC分类号： G06F17/30
CPC分类号： G06F17/3064
摘要： An approach is provided for determining related queries for a given search query based on the linking structure of electronic documents within a document set. Document titles are used to represent potential search queries and links between the electronic documents are used to determine relationships between the potential search queries. As such, the document set may be represented as a directed graph in which document titles (which represent potential search queries) are nodes and links are edges between the nodes. When a particular search query is received, a corresponding node is identified and related queries are determined by identifying other nodes having connections with that node.
摘要翻译： 提供了一种基于文档集合内的电子文档的链接结构来确定给定搜索查询的相关查询的方法。 文件标题用于表示潜在的搜索查询，电子文档之间的链接用于确定潜在搜索查询之间的关系。 因此，文档集可以被表示为有向图，其中文档标题（其表示潜在的搜索查询）是节点，并且链接是节点之间的边缘。 当接收到特定搜索查询时，识别相应的节点，并通过识别具有与该节点的连接的其他节点来确定相关查询。
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公开(公告)号：US08250053B2
公开(公告)日：2012-08-21
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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公开(公告)号：US20110016134A1
公开(公告)日：2011-01-20
申请号：US12890086
申请日：2010-09-24
IPC分类号： G06F17/30
CPC分类号： G06F17/3064
摘要： An approach is provided for determining related queries for a given search query based on the linking structure of electronic documents within a document set. Document titles are used to represent potential search queries and links between the electronic documents are used to determine relationships between the potential search queries. As such, the document set may be represented as a directed graph in which document titles (which represent potential search queries) are nodes and links are edges between the nodes. When a particular search query is received, a corresponding node is identified and related queries are determined by identifying other nodes having connections with that node.
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公开(公告)号：US07822774B2
公开(公告)日：2010-10-26
申请号：US11761038
申请日：2007-06-11
IPC分类号： G06F17/00
CPC分类号： G06F17/3064
摘要： An approach is provided for determining related queries for a given search query based on the linking structure of electronic documents within a document set. Document titles are used to represent potential search queries and links between the electronic documents are used to determine relationships between the potential search queries. As such, the document set may be represented as a directed graph in which document titles (which represent potential search queries) are nodes and links are edges between the nodes. When a particular search query is received, a corresponding node is identified and related queries are determined by identifying other nodes having connections with that node.
摘要翻译： 提供了一种基于文档集合内的电子文档的链接结构来确定给定搜索查询的相关查询的方法。 文件标题用于表示潜在的搜索查询，电子文档之间的链接用于确定潜在搜索查询之间的关系。 因此，文档集可以被表示为有向图，其中文档标题（其表示潜在的搜索查询）是节点，并且链接是节点之间的边缘。 当接收到特定搜索查询时，识别相应的节点，并通过识别具有与该节点的连接的其他节点来确定相关查询。
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9.发明申请公开(公告)号：US20090303238A1
公开(公告)日：2009-12-10
申请号：US12134334
申请日：2008-06-06
CPC分类号： G06F17/30389 , G06F17/30864
摘要： Computer-readable media and computerized methods for identifying candidate points on a graphical depiction of relative popularity of an entity (e.g., entertainer, sports team, and the like) are provided. Points on the graphical depiction are ranked based on a number of user-submitted web queries that reference the entity that are received during a particular time frame. Peak points and slope values (i.e., derived from an angle of inclination of inclines on the graphical depiction) may be captured by analyzing movements in the rank of an entity over time. An algorithmic process may then be applied to the peak points and slope values to determine points of interest of the entity's popularity, such as the highest-ranked periods and/or dramatic positive movements in rank of the entity. These points of interest are selected as candidate points and are surfaced as icons on a visual representation of the graphical depiction.
摘要翻译： 提供了用于识别实体（例如，艺人，运动团队等）的相对受欢迎程度的图形描绘上的候选点的计算机可读介质和计算机化方法。 基于在特定时间框架内引用实体的用户提交的Web查询的数量来对图形描述上的点进行排序。 峰值点和斜率值（即，从图形描绘上的倾斜倾角导出）可以通过分析实体随时间推移的运动来捕获。 然后可以将算法过程应用于峰值点和斜率值，以确定实体的受欢迎程度的兴趣点，例如实体排名中排名最高的周期和/或剧烈的正移动。 这些兴趣点被选为候选点，并且作为图形描绘的视觉表示的表示。
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公开(公告)号：US20080306934A1
公开(公告)日：2008-12-11
申请号：US11761038
申请日：2007-06-11
CPC分类号： G06F17/3064
摘要： An approach is provided for determining related queries for a given search query based on the linking structure of electronic documents within a document set. Document titles are used to represent potential search queries and links between the electronic documents are used to determine relationships between the potential search queries. As such, the document set may be represented as a directed graph in which document titles (which represent potential search queries) are nodes and links are edges between the nodes. When a particular search query is received, a corresponding node is identified and related queries are determined by identifying other nodes having connections with that node.
摘要翻译： 提供了一种基于文档集合内的电子文档的链接结构来确定给定搜索查询的相关查询的方法。 文件标题用于表示潜在的搜索查询，电子文档之间的链接用于确定潜在搜索查询之间的关系。 因此，文档集可以被表示为有向图，其中文档标题（其表示潜在的搜索查询）是节点，并且链接是节点之间的边缘。 当接收到特定搜索查询时，识别相应的节点，并通过识别具有与该节点的连接的其他节点来确定相关查询。
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搜索结果
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