公开(公告)号：US20100191758A1

公开(公告)日：2010-07-29

申请号：US12360008

申请日：2009-01-26

申请人： Fuchun Peng ,  Xing Wei ,  Yumao Lu ,  Xin Li ,  Donald Metzler ,  Hang Cui ,  Benoit Dumoulin

发明人： Fuchun Peng ,  Xing Wei ,  Yumao Lu ,  Xin Li ,  Donald Metzler ,  Hang Cui ,  Benoit Dumoulin

IPC分类号： G06F17/30

CPC分类号： G06F16/951 ,  G06F16/353

摘要： A system and method for improved search relevance using proximity boosting. A query for a web search is received from a user, via a network, wherein the query comprises a plurality of query tokens. One or more concepts are identified in the query wherein each of concepts comprises at least two query tokens. A relative concept strength is determined for each of the identified concepts. The query is then rewritten for submission to a search engine wherein for each of the one or more concepts, a syntax rule associated with the respective relative concept strength of the concept is applied to the query tokens comprising the concept such that the rewritten query represents the one or more concepts whereby the proximity of the one or more concepts in a search result returned by the search engine to the user in response to the rewritten query is boosted.

摘要翻译： 一种使用邻近度增强来提高搜索相关性的系统和方法。 从用户经由网络接收到针对web搜索的查询，其中所述查询包括多个查询令牌。 在查询中识别一个或多个概念，其中每个概念包括至少两个查询令牌。 确定每个识别的概念的相对概念强度。 然后，该查询被重写以提交给搜索引擎，其中对于一个或多个概念中的每一个，与概念的相应相对概念强度相关联的语法规则被应用于包括概念的查询令牌，使得重写的查询表示 提高了一个或多个概念，由此响应于重写的查询，搜索引擎向用户返回的搜索结果中的一个或多个概念的接近度被提升。