公开(公告)号：US09697534B2

公开(公告)日：2017-07-04

申请号：US13922198

申请日：2013-06-19

Applicant: Google Inc.

Inventor： Stefan F. Schnabl ,  Jon Vaver ,  Arjun Satyapal ,  John Huang ,  Wenjie Jiang

IPC: G06F17/00 ,  G06Q30/02

CPC classification number: G06Q30/0244 ,  G06Q30/0256

Abstract: The present disclosure includes systems and techniques relating to identifying value marketing activities. In some implementations, an apparatus, systems, or methods can include receiving conversion path information including data relating to user interactions with a content item associated with a marketing activity, determining a first attribution credit by applying a first attribution model to the received information, and a second attribution credit by applying a second attribution model to the received information, determining an attribution contrast ratio based on the first and second attribution credit, identifying an opportunity based on the determined attribution contrast ratio, and presenting a recommendation for the marketing activity based on the identified opportunity.

公开(公告)号：US20140379490A1

公开(公告)日：2014-12-25

申请号：US13922198

申请日：2013-06-19

Applicant: Google Inc.

Inventor： Stefan F. Schnabl ,  Jon Vaver ,  Arjun Satyapal ,  John Huang ,  Wenjie Jiang

IPC: G06Q30/02

CPC classification number: G06Q30/0244 ,  G06Q30/0256

Abstract: The present disclosure includes systems and techniques relating to identifying value marketing activities. In some implementations, an apparatus, systems, or methods can include receiving conversion path information including data relating to user interactions with a content item associated with a marketing activity, determining a first attribution credit by applying a first attribution model to the received information, and a second attribution credit by applying a second attribution model to the received information, determining an attribution contrast ratio based on the first and second attribution credit, identifying an opportunity based on the determined attribution contrast ratio, and presenting a recommendation for the marketing activity based on the identified opportunity.

Abstract translation: 本公开包括与识别价值营销活动相关的系统和技术。 在一些实现中，装置，系统或方法可以包括接收转换路径信息，包括与与营销活动相关联的内容项目的用户交互相关的数据，通过对所接收的信息应用第一归属模型来确定第一归属信用;以及 通过对所接收的信息应用第二归属模型来确定第二属性信用，基于所述第一和第二归属信用确定归因对比度，基于所确定的属性对比度来识别机会，以及基于 确定的机会。

公开(公告)号：US20170345048A1

公开(公告)日：2017-11-30

申请号：US15627032

申请日：2017-06-19

Applicant: Google Inc.

Inventor： Stefan F. Schnabl ,  Jon Vaver ,  Arjun Satyapal ,  John Huang ,  Wenjie Jiang

IPC: G06Q30/02

CPC classification number: G06Q30/0244 ,  G06Q30/0256

Abstract: The present disclosure includes systems and techniques relating to identifying value marketing activities. In some implementations, an apparatus, systems, or methods can include receiving conversion path information including data relating to user interactions with a content item associated with a marketing activity, determining a first attribution credit by applying a first attribution model to the received information, and a second attribution credit by applying a second attribution model to the received information, determining an attribution contrast ratio based on the first and second attribution credit, identifying an opportunity based on the determined attribution contrast ratio, and presenting a recommendation for the marketing activity based on the identified opportunity.

公开(公告)号：US09705773B2

公开(公告)日：2017-07-11

申请号：US14922879

申请日：2015-10-26

Applicant: Google Inc.

Inventor： Xiaoxue Zhao ,  Emilie Jeanne Anne Danna ,  Alireza Ghaffarkhah ,  Ajay Kumar Bangla ,  Christoph Albrecht ,  Wenjie Jiang ,  Benjamin Preskill ,  Bikash Koley

IPC: H04L12/26 ,  H04L12/751 ,  H04L12/801 ,  H04L12/851 ,  H04L12/24

CPC classification number: H04L43/0882 ,  H04L41/12 ,  H04L41/142 ,  H04L41/145 ,  H04L41/5009 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/50 ,  H04L45/02 ,  H04L47/127 ,  H04L47/24

Abstract: The present disclosure provides a probabilistic framework that can calculate the probability of fulfilling demands for a given set of traffic flows. In some implementations, the probability of fulfilling demands can be based on the probability of infrastructure component failures, shared risk link groups derived from a cross-layer network topology, and traffic engineering (TE) considerations. The consideration of the cross-layer network topology enables the systems and methods described herein to account for the relationship between the physical and logical topologies.

公开(公告)号：US20170012848A1

公开(公告)日：2017-01-12

申请号：US14922879

申请日：2015-10-26

Applicant: Google Inc.

Inventor： Xiaoxue Zhao ,  Emilie Jeanne Anne Danna ,  Alireza Ghaffarkhah ,  Ajay Kumar Bangla ,  Christoph Albrecht ,  Wenjie Jiang ,  Benjamin Preskill ,  Bikash Koley

IPC: H04L12/26 ,  H04L12/751 ,  H04L12/801 ,  H04L12/851

CPC classification number: H04L43/0882 ,  H04L41/12 ,  H04L41/142 ,  H04L41/145 ,  H04L41/5009 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/50 ,  H04L45/02 ,  H04L47/127 ,  H04L47/24

Abstract: The present disclosure provides a probabilistic framework that can calculate the probability of fulfilling demands for a given set of traffic flows. In some implementations, the probability of fulfilling demands can be based on the probability of infrastructure component failures, shared risk link groups derived from a cross-layer network topology, and traffic engineering (TE) considerations. The consideration of the cross-layer network topology enables the systems and methods described herein to account for the relationship between the physical and logical topologies.

Abstract translation: 本公开提供了概率框架，其可以计算满足给定的一组业务流的需求的概率。 在一些实现中，满足需求的概率可以基于基础架构组件故障的概率，从跨层网络拓扑导出的共享风险链路组和流量工程（TE）考虑。 跨层网络拓扑的考虑使得这里描述的系统和方法能够解释物理和逻辑拓扑之间的关系。