公开(公告)号：US20140101163A1

公开(公告)日：2014-04-10

申请号：US13760972

申请日：2013-02-06

Applicant: Google Inc.

Inventor： David Adams ,  Beverly Yang ,  Gaurav Garg ,  Everett Wetchler

IPC: G06F17/30

CPC classification number: G06F17/30286 ,  G06F17/30864

Abstract: This specification describes technologies relating to generation of keywords. In general, one aspect of the subject matter described in this specification can be embodied in methods that include receiving structured data describing a content item, the structured data indicating a category for the content item. The methods may further include searching domains associated with the category using a first query, formed based on data elements in the structured data, to identify resources associated with the identified domains. The methods may further include determining one or more queries based on data reflecting past search queries, where each of the one or more determined queries resulted in one or more of the identified resources being returned as part of a search result, and determining keywords based on the one or more determined queries. The methods may further include transmitting or storing the keywords for use in impression allocation decisions.

Abstract translation: 本规范描述了与关键字生成有关的技术。 通常，本说明书中描述的主题的一个方面可以包括接收描述内容项目的结构化数据的方法，所述结构化数据指示内容项目的类别。 所述方法还可以包括使用基于结构化数据中的数据元素形成的第一查询来搜索与该类别相关联的域，以识别与所识别的域相关联的资源。 所述方法还可以包括基于反映过去搜索查询的数据来确定一个或多个查询，其中所述一个或多个所确定的查询中的每一个导致所识别的资源中的一个或多个作为搜索结果的一部分返回，并且基于 一个或多个确定的查询。 所述方法还可以包括发送或存储用于展示分配决定中的关键字。

公开(公告)号：US09092463B2

公开(公告)日：2015-07-28

申请号：US13760972

申请日：2013-02-06

Applicant: Google Inc.

Inventor： David Adams ,  Beverly Yang ,  Gaurav Garg ,  Everett Wetchler

IPC: G06F17/30

CPC classification number: G06F17/30286 ,  G06F17/30864

Abstract: This specification describes technologies relating to generation of keywords. In general, one aspect of the subject matter described in this specification can be embodied in methods that include receiving structured data describing a content item, the structured data indicating a category for the content item. The methods may further include searching domains associated with the category using a first query, formed based on data elements in the structured data, to identify resources associated with the identified domains. The methods may further include determining one or more queries based on data reflecting past search queries, where each of the one or more determined queries resulted in one or more of the identified resources being returned as part of a search result, and determining keywords based on the one or more determined queries. The methods may further include transmitting or storing the keywords for use in impression allocation decisions.

Abstract translation: 本规范描述了与关键字生成有关的技术。 通常，本说明书中描述的主题的一个方面可以体现在包括接收描述内容项目的结构化数据，指示内容项目的类别的结构化数据的方法中。 所述方法还可以包括使用基于结构化数据中的数据元素形成的第一查询来搜索与该类别相关联的域，以识别与所识别的域相关联的资源。 所述方法还可以包括基于反映过去搜索查询的数据来确定一个或多个查询，其中所述一个或多个所确定的查询中的每一个导致所识别的资源中的一个或多个作为搜索结果的一部分返回，并且基于 一个或多个确定的查询。 所述方法还可以包括发送或存储用于展示分配决定中的关键字。

公开(公告)号：US20180365295A1

公开(公告)日：2018-12-20

申请号：US14071317

申请日：2013-11-04

Applicant: Google Inc.

Inventor： Matthew Paff ,  Gaurav Garg ,  Ramakrishnan Kandhan ,  Awaneesh Verma ,  Chetan Narain ,  Omkar Muralidharan ,  Mehmet Emre Sargin ,  Ming Yang ,  David Adams

IPC: G06F17/30

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. One or more content items are identified that are eligible to be presented in response to received requests in accordance with one or more selection criteria. One of the content items includes one or more parameters that can be varied. A range is identified over which a parameter of the one or more parameters is variable, and a subset of the range is identified, wherein the subset is less than the entire range. A request for content is received that is satisfied by the content item. The content item is prepared, including randomly selecting a value for the parameter that is within the subset of the range. At least one performance aspect associated with the prepared one content item is monitored.