公开(公告)号：US20140108130A1

公开(公告)日：2014-04-17

申请号：US13672780

申请日：2012-11-09

Applicant: Google Inc.

Inventor： Wiesner J. Vos ,  James R. Koehler ,  Evgeny Skvortsov ,  Lukas Rutishauser

IPC: G06Q30/02

CPC classification number: G06Q30/0246

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for determining performance for a campaign. A method includes: identifying a campaign associated with the delivery of an electronic media item; identifying identifiers of devices that were served impressions of the electronic media item; determining a number of unique identifiers that received impressions and a number of views of the electronic media item per identifier; identifying a plurality of demographic categories; identifying labeled identifiers; determining a number of identifiers and views per demographic category for the campaign; accumulating un-labeled identifiers to produce a count of un-labeled identifiers and views; determining, for the labeled identifiers, a distribution across the plurality of demographic categories; adjusting for errors in the determined distribution; determining an overall distribution among the demographic categories for impressions; and applying the overall distribution to a total number of unique identifiers and views for the campaign.

Abstract translation: 方法，系统和装置，包括编码在计算机可读存储介质上的计算机程序，用于确定活动的性能。 一种方法包括：识别与电子媒体项目的传送相关联的活动; 识别已经提供电子媒体项目的展示的设备的标识符; 确定每个标识符接收到印象的数量的唯一标识符和电子媒体项的多个视图; 识别多个人口统计类别; 识别标记的标识符; 为广告系列确定每个人口统计类别的标识符和视图数量; 累积未标记的标识符以产生未标记的标识符和视图的计数; 为所述标记的标识符确定跨所述多个人口统计类别的分布; 调整确定分配中的错误; 确定印象人口统计类别的总体分布; 并将总体分布应用于广告系列的唯一标识符和视图的总数。

公开(公告)号：US10324960B1

公开(公告)日：2019-06-18

申请号：US14858825

申请日：2015-09-18

Applicant: Google Inc.

Inventor： Evgeny Skvortsov ,  Lukas Rutishauser ,  Cuizhu Shi

IPC: G06F16/00 ,  G06F16/28 ,  G06F16/955 ,  G06F16/954

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a number of unique viewers of a content item. In one aspect, a method includes receiving an identifier specifying characteristics of a user associated with a device that was used to present a given content item. A user category is identified for the received identifier based on the characteristics. Each user category of a set of user categories include a respective number of pseudo-users. The received identifier is assigned to a given pseudo-user in the identified user category based on a non-linear distribution of identifiers per actual user in the identified user category. A number of unique users, including the given pseudo-user, that have viewed the given content item is determined based on a total number of pseudo-users that have been assigned an identifier corresponding to presentation of the given content item.

公开(公告)号：US20180218389A1

公开(公告)日：2018-08-02

申请号：US15426514

申请日：2017-02-07

Applicant: Google Inc.

Inventor： Troy L. Walker ,  Mehdi Sharifzadeh ,  Lukas Rutishauser ,  Thomas J. Murray IV ,  Sasank Mudunuri

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0277

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collecting and applying visibility statistics in online advertising are disclosed. Ad block visibility data relating to initial visibility characteristics and subsequent visibility characteristics of ad blocks on webpages are collected from a sample of browser sessions and aggregated to provide a representative historical view of ad block visibility characteristics on those webpages. The collected visibility data are used to build a predictive model of ad block visibility characteristics for future sessions. Ad selection can be based on the predicted visibility characteristics for ad blocks on a webpage as rendered on a particular requesting client device. Ad targeting and pricing can be specified in terms of predicted visibility characteristics of ad blocks.