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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：US20110191321A1
公开(公告)日：2011-08-04
申请号：US12698115
申请日：2010-02-01
申请人： KRISHNA GADE , ANDREY YEGOROV , JOANNA CHAN , DANIEL C. FAIN , SANAZ AHARI , NITIN AGRAWAL
发明人： KRISHNA GADE , ANDREY YEGOROV , JOANNA CHAN , DANIEL C. FAIN , SANAZ AHARI , NITIN AGRAWAL
摘要： Embodiments of the invention disclose an advertisement or segment of a webpage that displays suggested search queries as selectable links. Suggested queries may be based on content associated with the webpage, or the description of the webpage (such as a URL), or default suggestions. In one example, content of a page is crawled for terms that are mapped to suggested queries. Queries may be represented as textual links or multimedia images embedded in pages accessed over a network, and selection of a query may direct or enhance search engine traffic.
摘要翻译： 本发明的实施例公开了将建议的搜索查询显示为可选链接的网页的广告或片段。 建议的查询可以基于与网页相关联的内容，或网页的描述（例如URL）或默认建议。 在一个示例中，对于映射到建议查询的条款，抓取页面的内容。 查询可以表示为嵌入在通过网络访问的页面中的文本链接或多媒体图像，并且查询的选择可以引导或增强搜索引擎流量。
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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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