公开(公告)号：US20170262878A1

公开(公告)日：2017-09-14

申请号：US15064310

申请日：2016-03-08

Applicant: Yahoo! Inc.

Inventor： Suleyman CETINTAS ,  Pengyuan WANG ,  Jian YANG ,  Puneet Mohan SANGAL

IPC: G06Q30/02

CPC classification number: G06Q30/0244 ,  G06Q30/0246 ,  G06Q30/0256 ,  G06Q30/0273

Abstract: Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

公开(公告)号：US20160189202A1

公开(公告)日：2016-06-30

申请号：US14587328

申请日：2014-12-31

Applicant: Yahoo! Inc.

Inventor： Pengyuan WANG ,  Dawei Yin ,  Yi Chang ,  Jian Yang ,  Wei Sun

IPC: G06Q30/02 ,  G06F17/30 ,  G06Q10/06

CPC classification number: G06Q30/0243 ,  G06Q10/067

Abstract: Systems and methods for are provided for measuring treatment effect of advertisement campaigns. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database including historical advertisement data. A computer server is in communication with the memory and the database, the computer server programmed to obtain a tree-based model using the historical advertisement data, where the tree-based model include a plurality of leaf nodes. Within at least one leaf node of the tree-based model, the computer server obtains a number of subjects and estimates a treatment effect for a treatment. The computer server calculates a final treatment effect for the tree-based model using the number of subjects and the treatment effect. The computer server then determines a parameter for future advertising strategy using the final treatment effect.

Abstract translation: 提供用于衡量广告活动的治疗效果的系统和方法。 该系统包括可处理器可访问的处理器和非暂时性存储介质。 该系统包括存储包含历史广告数据的数据库的存储器。 计算机服务器与存储器和数据库通信，计算机服务器被编程为使用历史广告数据获得基于树的模型，其中基于树的模型包括多个叶节点。 在基于树的模型的至少一个叶节点中，计算机服务器获得多个受试者并估计治疗的治疗效果。 计算机服务器使用受试者数量和治疗效果计算基于树型模型的最终治疗效果。 然后，计算机服务器使用最终处理效果确定用于将来广告策略的参数。

公开(公告)号：US20160125454A1

公开(公告)日：2016-05-05

申请号：US14532831

申请日：2014-11-04

Applicant: Yahoo! Inc.

Inventor： Howard Karloff ,  Yifan Hu ,  Jeremy Kanterman ,  Pengyuan WANG ,  Shahriyar Sufi

IPC: G06Q30/02

CPC classification number: G06Q30/0249

Abstract: Systems and methods for managing advertisement campaign are provided. The system includes one or more devices having a processor and a non-transitory storage medium accessible to the hardware processor. The system includes a memory storing a database including campaign data. The system also includes a server computer in communication with the database. The server computer is programmed to receive a budget to be spent on a plurality of websites. The server computer is programmed to estimate a parameter for a non-linear model based on the campaign data. The server computer is programmed to estimate an expected number of conversions for each of the plurality of websites using the non-linear model with the estimated parameter. The server computer is programmed to determine an allocation of impressions for the plurality of websites that maximizes an estimated total number of conversions.

Abstract translation: 提供了管理广告活动的系统和方法。 该系统包括具有可由硬件处理器访问的处理器和非暂时性存储介质的一个或多个设备。 该系统包括存储包括活动数据的数据库的存储器。 该系统还包括与数据库通信的服务器计算机。 服务器计算机被编程为接收在多个网站上花费的预算。 服务器计算机被编程为基于活动数据估计用于非线性模型的参数。 服务器计算机被编程为使用具有估计参数的非线性模型来估计多个网站中每个网站的预期转换次数。 服务器计算机被编程以确定使估计的总转化次数最大化的多个网站的展示分配。

公开(公告)号：US20160125450A1

公开(公告)日：2016-05-05

申请号：US14533898

申请日：2014-11-05

Applicant: Yahoo! Inc.

Inventor： Jing JIN ,  Pengyuan WANG ,  Ayman FARAHAT

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0201

Abstract: Systems and methods for tracking brand reputation and market share are provided. The system includes one or more devices having a processor and a non-transitory storage medium accessible to the hardware processor. The device is programmed to obtain an awareness index at a plurality of levels at least partially based on the brand data. The device is programmed to obtain a favorability index as a ratio of user numbers based on the brand data. The device is programmed to obtain a branding index by combining the awareness index and the favorability index. The device is programmed to obtain an affinity score for a group of users at least partially based on the brand data and recommend the group of users based on the affinity score to increase the branding index.

Abstract translation: 提供跟踪品牌声誉和市场份额的系统和方法。 该系统包括具有可由硬件处理器访问的处理器和非暂时性存储介质的一个或多个设备。 该设备被编程为至少部分地基于品牌数据获得多个级别的意识索引。 该设备被编程为以基于品牌数据的用户数量的比率获得有利指数。 该设备被编程为通过结合意识指数和有利指数来获得品牌指数。 该设备被编程为至少部分地基于品牌数据获得一群用户的亲和度分数，并且基于亲和度分数推荐该用户组以增加品牌指数。