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    • 7. 发明申请
    • SYSTEM AND METHOD FOR PROVIDING SEARCH QUERY REFINEMENTS
    • 提供搜索查询的系统和方法
    • US20120054216A1
    • 2012-03-01
    • US13289348
    • 2011-11-04
    • Paul HAAHRSteven Baker
    • Paul HAAHRSteven Baker
    • G06F17/30
    • G06F17/30389G06F17/30598G06F17/30648G06F17/3071G06F17/30864Y10S707/99933Y10S707/99935Y10S707/99945
    • A system and method for providing search query refinements are presented. A stored query and a stored document are associated as a logical pairing. A weight is assigned to the logical pairing. The search query is issued and a set of search documents is produced. At least one search document is matched to at least one stored document. The stored query and the assigned weight associated with the matching at least one stored document are retrieved. At least one cluster is formed based on the stored query and the assigned weight associated with the matching at least one stored document. The stored query associated with the matching at least one stored document are scored for the at least one cluster relative to at least one other cluster. At least one such scored search query is suggested as a set of query refinements.
    • 提出了一种提供搜索查询优化的系统和方法。 存储的查询和存储的文档被关联为逻辑配对。 权重被分配给逻辑配对。 发出搜索查询,并生成一组搜索文档。 至少一个搜索文档与至少一个存储的文档匹配。 检索存储的查询和与匹配的至少一个存储的文档相关联的分配的权重。 基于存储的查询和与匹配至少一个存储的文档相关联的分配的权重,形成至少一个群集。 与至少一个存储的文档匹配的存储查询相对于至少一个其他集群对于至少一个集群进行评分。 建议至少一个这样的计分搜索查询作为一组查询优化。
    • 8. 发明授权
    • Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems
    • 在基于关键字的检索系统中找到有意义的词汇或停止词组
    • US07409383B1
    • 2008-08-05
    • US10813590
    • 2004-03-31
    • Simon TongUri LernerAmit SinghalPaul HaahrSteven Baker
    • Simon TongUri LernerAmit SinghalPaul HaahrSteven Baker
    • G06F17/30G06F7/00G06F17/21
    • G06F17/30967G06F7/24G06F17/21G06F17/30666G06F17/30979Y10S707/99933Y10S707/99943
    • A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.
    • 停止词检测组件在输入到基于关键字的信息检索系统的搜索查询中检测到停止词(也称为停止词)。 最初通过将搜索查询中的术语与已知无效词列表进行比较来识别潜在的禁忌词。 然后基于搜索查询和所识别的无效词来检索上下文数据。 在一个实现中,上下文数据包括从文档索引检索的文档。 在另一实现中,上下文数据包括与搜索查询相关的类别。 将检索到的上下文数据的集合彼此进行比较以确定它们是否基本相似。 如果上下文数据集合基本相似,则可以使用该事实来推断潜在的停止词的移除对搜索不重要。 如果上下文数据集基本上不相似,潜在的停用词可以被认为是搜索的重要内容,不应该从查询中移除。