公开(公告)号：US09979777B1

公开(公告)日：2018-05-22

申请号：US14244821

申请日：2014-04-03

Applicant: Google Inc.

Inventor： Andrew Tomkins ,  Dandapani Sivakumar ,  Sangsoo Sung ,  Justin Kosslyn ,  Todd Jackson ,  Andre Rohe ,  Ya Luo ,  Andrew Bunner ,  Alexander Sobol ,  Luca de Alfaro

IPC: G06F15/16 ,  H04L29/08

CPC classification number: H04L67/10 ,  G06F12/06 ,  G06F17/30 ,  G06F17/30029 ,  G06F17/30041 ,  G06F17/30044 ,  G06F17/3005 ,  G06F17/30864 ,  G06F17/30867 ,  G06N5/00 ,  G06Q30/02 ,  H04L65/60 ,  H04L65/602 ,  H04L67/32

Abstract: A system and method for generating a stream of content includes a content stream module that generates a model based on user input and/or prior activities using heterogeneous data sources. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. The content stream module retrieves candidate content items that have interests that are similar to the user. The candidate content items are compared to the model and scored based upon interestingness of the content item to the user. The content stream module generates the stream of content from the candidate content items.

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：US09426190B1

公开(公告)日：2016-08-23

申请号：US13957315

申请日：2013-08-01

Applicant: Google Inc.

Inventor： Kevin Snow McCurley ,  Dandapani Sivakumar

IPC: H04L29/06 ,  G06F17/27 ,  G06F17/30 ,  G06Q50/00

CPC classification number: H04L65/403 ,  G06F17/248 ,  G06F17/27 ,  G06F17/2705 ,  G06F17/2745 ,  G06F17/2785 ,  G06F17/30011 ,  G06F17/3005 ,  G06F17/30058 ,  G06Q50/01

Abstract: In one aspect, a method is provided, including the following method operations: receiving a request to share a content page in a post to a social network site; analyzing the content page to identify a plurality of descriptive content; presenting a draft post, the draft post providing options for associating particular ones of the descriptive content for integration with the post; receiving a selection of at least one of the particular ones of the descriptive content; generating the post to the social network site based on the selection; wherein the method is executed by at least one processor.

Abstract translation: 一方面，提供了一种方法，包括以下方法操作：接收将社交网站中的一个帖子中的内容页共享的请求; 分析内容页面以识别多个描述内容; 提出一个草稿职位，该职位草案提供了将具体描述性内容与职位相结合的选项; 接收所述描述性内容中的至少一个的选择; 根据选择产生社交网站; 其中所述方法由至少一个处理器执行。

公开(公告)号：US08812520B1

公开(公告)日：2014-08-19

申请号：US13776183

申请日：2013-02-25

Applicant: Google Inc.

Inventor： Mark M. Sandler ,  Dandapani Sivakumar

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30958

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring resources. One method includes generating a resource graph, the graph including nodes representing resources, nodes representing queries, edges between nodes representing resources, and edges between nodes representing queries and nodes representing resources. The method further includes calculating a score for each of the resources, wherein the score for a particular resource is based on scores for resources represented by nodes with edges to the node representing particular resource in the graph and scores for queries represented by nodes that have an edge to the node representing particular resource in the graph, and ranking one or more of the resources in response to a first query received from a user based, at least in part, on the scores.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于评分资源。 一种方法包括生成资源图，该图包括表示资源的节点，表示查询的节点，表示资源的节点之间的边，以及表示查询的节点和表示资源的节点之间的边。 该方法还包括计算每个资源的得分，其中特定资源的分数基于由表示图中特定资源的节点的边缘的节点所表示的资源的分数，以及由具有 边缘到表示图中特定资源的节点，并且至少部分地基于分数来响应于从用户接收到的第一查询来对一个或多个资源进行排序。

公开(公告)号：US09858275B1

公开(公告)日：2018-01-02

申请号：US14842554

申请日：2015-09-01

Applicant: Google Inc.

Inventor： Andrew Tomkins ,  Dandapani Sivakumar ,  Sangsoo Sung ,  Justin Kosslyn ,  Todd Jackson ,  Andre Rohe ,  Ya Luo ,  Andrew Bunner ,  Alexander Sobol ,  Luca de Alfaro

IPC: G06F17/30

CPC classification number: H04L67/10 ,  G06F12/06 ,  G06F17/30 ,  G06F17/30029 ,  G06F17/30041 ,  G06F17/30044 ,  G06F17/3005 ,  G06F17/30864 ,  G06F17/30867 ,  G06N5/00 ,  G06Q30/02 ,  H04L65/60 ,  H04L65/602 ,  H04L67/32

Abstract: A system and method for generating a real-time stream of content from heterogeneous data sources and a real-time index. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. A fetching unit retrieves recent content that is indexed in the real-time index according to keywords. A model generation engine generates a model based on user activities. The mixer compares candidate content items from the heterogeneous data sources and the real-time index to the model to generate scores for each item and generates a stream of content based on the scores.

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。