公开(公告)号：US09805142B2

公开(公告)日：2017-10-31

申请号：US14250504

申请日：2014-04-11

Applicant: Google Inc.

Inventor： Sumit Kumar Sanghai ,  Dandapani Sivakumar ,  Pranav Kumar Tiwari ,  Raghunandan Hulikal Keshavan

IPC: G06F17/30

CPC classification number: G06F17/30973 ,  G06F17/3064 ,  G06F17/30867

Abstract: Methods and apparatus for ranking suggestions for input of a user based on one or more attributes of the user that are associated with one or more of the suggestions. User attributes of the user's user profile may be matched to user attributes of a suggestion and the suggestion ranked based at least in part on bias measures associated with the matched user attributes of the suggestion. Some implementations are directed to determining, for each of a plurality of suggestions, multiple user attributes and associated bias measures to associate with the suggestion.

公开(公告)号：US09436742B1

公开(公告)日：2016-09-06

申请号：US14213984

申请日：2014-03-14

Applicant: Google Inc.

Inventor： Moustafa Hammad ,  Dandapani Sivakumar ,  Pranav Kumar Tiwari ,  Sumit Kumar Sanghai ,  Shachi Dave ,  Selvam Mahalingam ,  Deepak Raghuwanshi

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Methods and apparatus for ranking search result documents for a query of a user based on one or more attributes of the user that are associated with one or more of the search result documents. User attributes of the user's user profile may be matched to user attributes of a search result document and the search result document ranked based at least in part on bias measures associated with the matched user attributes. Some implementations are directed to determining, for each of a plurality of documents, multiple user attributes and associated bias measures to associate with the document. A user attribute and associated bias measure for the document may be determined based on indicated interactions with the document by a set of users associated with the user attribute.

Abstract translation: 用于基于与一个或多个搜索结果文档相关联的用户的一个或多个属性来排序用户的查询的搜索结果文档的方法和装置。 用户用户简档的用户属性可以与搜索结果文档的用户属性和至少部分地基于与匹配的用户属性相关联的偏差度量排列的搜索结果文档进行匹配。 一些实施方式涉及为多个文档中的每一个确定多个用户属性和相关联的偏差测量以与文档相关联。 可以基于与用户属性相关联的一组用户与文档的指示的交互来确定文档的用户属性和相关联的偏差度量。

公开(公告)号：US20150294029A1

公开(公告)日：2015-10-15

申请号：US14250504

申请日：2014-04-11

Applicant: Google Inc.

Inventor： Sumit Kumar Sanghai ,  Dandapani Sivakumar ,  Pranav Kumar Tiwari ,  Raghunandan Hulikal Keshavan

IPC: G06F17/30

CPC classification number: G06F17/30973 ,  G06F17/3064 ,  G06F17/30867

Abstract: Methods and apparatus for ranking suggestions for input of a user based on one or more attributes of the user that are associated with one or more of the suggestions. User attributes of the user's user profile may be matched to user attributes of a suggestion and the suggestion ranked based at least in part on bias measures associated with the matched user attributes of the suggestion. Some implementations are directed to determining, for each of a plurality of suggestions, multiple user attributes and associated bias measures to associate with the suggestion.

Abstract translation: 用于基于与一个或多个建议相关联的用户的一个或多个属性来排序用户输入的建议的方法和装置。 可以将用户用户简档的用户属性与建议的用户属性相匹配，并且至少部分地基于与建议的匹配用户属性相关联的偏差度量来排名的建议。 一些实施方式涉及为多个建议中的每一个确定多个用户属性和相关联的偏好度量以与该建议相关联。

公开(公告)号：US09104746B1

公开(公告)日：2015-08-11

申请号：US14229122

申请日：2014-03-28

Applicant: Google Inc.

Inventor： Raveesh Nayar ,  Mayur Datar ,  Sumit Sanghai ,  Pranav Kumar Tiwari

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/3053 ,  G06Q30/0601

Abstract: A system and method for identifying contrarian terms is disclosed. The system and method includes identifying a plurality of websites describing a product or service, analyzing content in the plurality of websites, the content relating to the described product or service, identifying contrarian terms based on the website content using a processing circuit, wherein the contrarian terms comprise descriptions of a product or service, associating the identified contrarian terms with a category, within which the product or service has been categorized in at least one of the plurality of websites, and storing the contrarian terms and the associated category in a memory.

Abstract translation: 公开了一种用于识别逆向术语的系统和方法。 该系统和方法包括识别描述产品或服务的多个网站，分析多个网站中的内容，与所描述的产品或服务相关的内容，使用处理电路基于网站内容识别反向术语，其中逆向 术语包括对产品或服务的描述，将所识别的逆向术语与其中产品或服务已被分类到多个网站中的至少一个网站的类别相关联，以及将逆向术语和相关联的类别存储在存储器中。