公开(公告)号：US08626787B1

公开(公告)日：2014-01-07

申请号：US13922968

申请日：2013-06-20

Applicant: Google Inc.

Inventor： Simon Tong ,  Uri Lerner ,  Amit Singhal ,  Paul Haahr ,  Steven Baker

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/30967 ,  G06F7/24 ,  G06F17/21 ,  G06F17/30666 ,  G06F17/30979 ,  Y10S707/99933 ,  Y10S707/99943

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US10223439B1

公开(公告)日：2019-03-05

申请号：US15348314

申请日：2016-11-10

Applicant: Google Inc.

Inventor： Steven Baker ,  Paul Haahr

IPC: G06F17/30

Abstract: A system and method for generating query refinement suggestions may include collecting refinement data for at least one received source query. The collected refinement data is then clustered to form at least one cluster. At least one potential refinement query suggestion is identified from the refinement data within the at least one cluster.

公开(公告)号：US09817920B1

公开(公告)日：2017-11-14

申请号：US14628692

申请日：2015-02-23

Applicant: GOOGLE INC.

Inventor： Simon Tong ,  Uri Lerner ,  Amit Singhal ,  Paul Haahr ,  Steven Baker

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/30967 ,  G06F7/24 ,  G06F17/21 ,  G06F17/30666 ,  G06F17/30979 ,  Y10S707/99933 ,  Y10S707/99943

Abstract: 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.

公开(公告)号：US09495443B1

公开(公告)日：2016-11-15

申请号：US13955119

申请日：2013-07-31

Applicant: GOOGLE INC.

Inventor： Steven Baker ,  Paul Haahr

IPC: G06F17/30

CPC classification number: G06F17/30646 ,  G06F17/3064 ,  G06F17/30864

Abstract: A system and method for generating query refinement suggestions may include collecting refinement data for at least one received source query. The collected refinement data is then clustered to form at least one cluster. At least one potential refinement query suggestion is identified from the refinement data within the at least one cluster.

公开(公告)号：US08965919B1

公开(公告)日：2015-02-24

申请号：US14143161

申请日：2013-12-30

Applicant: Google Inc.

Inventor： Simon Tong ,  Uri Lerner ,  Amit Singhal ,  Paul Haahr ,  Steven Baker

IPC: G06F17/30 ,  G06F7/00 ,  G06F7/24 ,  G06F17/21

CPC classification number: G06F17/30967 ,  G06F7/24 ,  G06F17/21 ,  G06F17/30666 ,  G06F17/30979 ,  Y10S707/99933 ,  Y10S707/99943

Abstract: 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.

Abstract translation: 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。