公开(公告)号：US20140279773A1

公开(公告)日：2014-09-18

申请号：US13802184

申请日：2013-03-13

Applicant: Google Inc.

Inventor： Kai Chen ,  Xiaodan Song ,  Gregory S. Corrado ,  Kun Zhang ,  Jeffrey A. Dean ,  Bahman Rabii

IPC: G06N3/08

CPC classification number: G06N3/084 ,  G06F17/30707 ,  G06F17/30864 ,  G06N3/04 ,  G06N3/0427 ,  G06N3/08 ,  G06Q30/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values to generate an alternative representation of the features of the resource, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input to generate a respective relevance score for each concept term in a pre-determined set of concept terms, wherein each of the respective relevance scores measures a predicted relevance of the corresponding concept term to the resource.

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，用于使用深层网络评分概念术语。 所述方法之一包括接收包括资源的多个特征的输入，其中每个特征是所述资源的相应属性的值; 使用相应的嵌入功能处理每个特征以生成一个或多个数值; 处理所述数值以产生所述资源的特征的替代表示，其中处理所述浮点值包括将一个或多个非线性变换应用于所述浮点值; 以及处理所述输入的替代表示，以在预定概念术语集中为每个概念项产生相应的相关性得分，其中各个相关性分数中的每一个测量相应概念项与资源的预测相关性。

公开(公告)号：US10289296B1

公开(公告)日：2019-05-14

申请号：US15018667

申请日：2016-02-08

Applicant: Google Inc.

Inventor： Kun Zhang ,  Willa Angel Chen ,  Yingwei Cui ,  William Martin Halpin, Jr. ,  Bahman Rabii ,  Tobias Maurer

IPC: G06F3/0485 ,  G06F17/22

Abstract: Method and systems for displaying content items on an information resource include identifying a supplemental content item to append to a DOM tree of the information resource and identifying a first content item displayed in a first container of the information resource. The methods also includes monitoring a position of a predetermined portion of the first content item relative to a viewport of the application and determining, responsive to monitoring the position of the predetermined portion of the first content item, that the first content item is visible within the viewport of the application. The method also includes appending the supplemental content item in a second container at a first position between the first container and an end of the information resource and displaying the supplemental content item within the viewport of the application responsive to detecting a scroll action towards the end of the information resource.

公开(公告)号：US10223742B2

公开(公告)日：2019-03-05

申请号：US14836537

申请日：2015-08-26

Applicant: Google Inc.

Inventor： Shilpa Arora ,  Colin McCulloch ,  Niyati Yagnik ,  Creighton Thomas ,  Manohar Prabhu ,  Timothy Lipus ,  Michael Eugene Aiello ,  Yi Zhang ,  Ajay Kumar Bangla ,  Bahman Rabii ,  Gaofeng Zhao ,  Yingweii Cui

IPC: G06Q30/00 ,  G06F17/30 ,  G06Q30/08 ,  G06N99/00

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

公开(公告)号：US20180330387A1

公开(公告)日：2018-11-15

申请号：US13673906

申请日：2012-11-09

Applicant: GOOGLE INC.

Inventor： Christopher Kenneth Harris ,  Xiaofeng Guo ,  Ke Huang ,  Bahman Rabii ,  Alok Goel

IPC: G06Q30/02 ,  G06Q10/08 ,  G06Q30/06

CPC classification number: G06Q30/02 ,  G06Q10/08 ,  G06Q30/06

Abstract: Conducting a group buying advertising campaign. Receiving a specification for a group-buying offer. Creating a candidate ad campaign based on the received specification. The candidate ad campaign includes at least one campaign feature. The candidate ad is characterized by at least one generalized feature. Determining the expected effectiveness of the candidate ad campaign. For an expected effectiveness less than the aggregate effectiveness of a set of at least one previously run ad campaigns having a generalized feature in common with the candidate campaign, editing the candidate ad campaign to incorporate at least one feature of the set of at least one previously run ad campaigns. Running the edited ad campaign in an ad display network. Collecting effectiveness data for each run ad campaign.

公开(公告)号：US20170039288A1

公开(公告)日：2017-02-09

申请号：US15298324

申请日：2016-10-20

Applicant: Google Inc.

Inventor： Bahman Rabii ,  Xiaodan Song ,  Yingwei Cui

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06F16/9032 ,  G06F16/9038

Abstract: Systems and methods of providing information via a computer network are provided. A data processing system can identify a cluster that includes a plurality of online content items having a semantic or user similarity. The data processing system determines a plurality of cluster placement criteria of the cluster, and receives content configured for display with a web page. The content can be associated with the cluster based on the semantic or user similarity. A cluster placement criterion of the plurality of cluster placement criteria can be selected based on a quality metric of the selected cluster placement criterion, and the selected cluster placement criterion can be provided as a supplemental criterion used to select the content for display with the web page.

Abstract translation: 提供了通过计算机网络提供信息的系统和方法。 数据处理系统可以识别包括具有语义或用户相似性的多个在线内容项的集群。 数据处理系统确定集群的多个集群放置标准，并且接收配置用于与网页一起显示的内容。 内容可以基于语义或用户相似性与集群相关联。 可以基于所选择的集群放置标准的质量度量来选择多个集群放置标准的集群放置标准，并且可以提供所选择的集群放置标准作为用于选择用于与网页一起显示的内容的补充标准 。