公开(公告)号：US20160217181A1

公开(公告)日：2016-07-28

申请号：US13830011

申请日：2013-03-14

Applicant: Google Inc.

Inventor： David Kadouch ,  Sivan Eiger ,  Lev Finkelstein ,  Alon Mittelman ,  Dan Guez ,  Uri Bernstein ,  Valeria Helfand ,  Yosi Markovich ,  Eddo Kim

IPC: G06F17/30

CPC classification number: G06F16/951 ,  G06F16/3323

Abstract: Methods and apparatus for annotating query suggestions. Some implementations are directed to methods and apparatus for annotating a query suggestion with a semantic description to provide additional information about the meaning of the query suggestion.

Abstract translation: 注释查询建议的方法和设备。 一些实现涉及用于用语义描述注释查询建议的方法和装置，以提供关于查询建议的含义的附加信息。

公开(公告)号：US09158860B2

公开(公告)日：2015-10-13

申请号：US13779463

申请日：2013-02-27

Applicant: Google Inc.

Inventor： Yosi Markovich ,  Sean Liu ,  Jack Wright Menzel

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/3097 ,  G06F17/3064

Abstract: Methods, systems and apparatus are described herein that includes identifying a partial query entered into a search field. A query completion template is then provided for display for a category of information associated with one or more terms within the partial query, the query completion template including an interactive field that is user editable. User interaction with the interactive field is the identified. Display of the query completion template is then updated to include the results of the user interaction within the interactive of the query completion template. User selection of the updated query completion template is then identified, and in response the updated display of the query completion template is transmitted as a search query.

Abstract translation: 本文描述了包括识别输入到搜索字段中的部分查询的方法，系统和装置。 然后，提供查询完成模板，用于显示与部分查询中的一个或多个项相关联的信息类别，查询完成模板包括用户可编辑的交互式字段。 用户与互动领域的交互是识别的。 然后更新查询完成模板的显示，以便在查询完成模板的交互式中包含用户交互的结果。 然后识别更新的查询完成模板的用户选择，并且作为响应，作为搜索查询发送查询完成模板的更新显示。

公开(公告)号：US09524336B1

公开(公告)日：2016-12-20

申请号：US15054823

申请日：2016-02-26

Applicant: Google Inc.

Inventor： Lev Finkelstein ,  Yosi Markovich

IPC: G06F17/30

CPC classification number: G06F17/3064 ,  G06F17/3053 ,  G06F17/30675 ,  G06F17/30696 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30958 ,  G06F17/3097

Abstract: In general, aspects of the subject matter described in this specification can be embodied in methods that include the actions of receiving a search query initial input from a user, receiving a plurality of query auto-completions based on the search query initial input, receiving social graph data, the social graph data being specific to the user, for each query auto-completion of the plurality of query auto-completions, determining a ranking score, the ranking score being determined at least partially based on the social graph data, and transmitting instructions to display the plurality of query auto-completions to the user in a rank order that is determined based on ranking scores.

公开(公告)号：US09342601B1

公开(公告)日：2016-05-17

申请号：US13774711

申请日：2013-02-22

Applicant: Google Inc.

Inventor： Lev Finkelstein ,  Yossi Matias ,  Tomer Shmiel ,  Itzhak Barokas ,  Dror Eiger ,  Dan Guez ,  Yosi Markovich ,  Shaul Markovitch ,  Giora Unger

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30011 ,  G06F17/30477 ,  G06F17/3053 ,  G06F17/3064 ,  G06F17/3097

Abstract: Technology described herein enhances a user's search experience by providing refined search results that are relevant to a displayed document. Contextual search results are obtained which identify a list of documents responsive to a formulated query that is based on the user's search query, as well as one or more supplemental terms that are based on content in the displayed document during user entry of the search query. The contextual search results are then “refined” by re-ranking the documents in the list, based on the similarity between the user's original search query and terms in these documents. This re-ranking enables contextual search results to be provided that are also highly relevant to the user's informational need.

Abstract translation: 本文描述的技术通过提供与所显示的文档相关的精细搜索结果增强了用户的搜索体验。 获得上下文搜索结果，其识别响应于基于用户的搜索查询的配方查询的文档列表，以及基于在用户输入搜索查询期间显示的文档中的内容的一个或多个补充术语。 基于用户原始搜索查询与这些文档中的条款之间的相似性，将上下文搜索结果重新排列在列表中的文档中，进行“精炼”。 这种重新排序使得能够提供与用户的信息需求高度相关的上下文搜索结果。