公开(公告)号：US20150161657A1

公开(公告)日：2015-06-11

申请号：US14103440

申请日：2013-12-11

Applicant: Google Inc.

Inventor： Bozhena Bidyuk ,  Chao Cai ,  William Patrick Kee ,  Richard Edward Little ,  David Earl Barney ,  Stefan Schnabl

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0246

Abstract: Systems and methods for measuring conversion probabilities of a path types for an attribution model includes, identifying by a processor, paths taken by visitors to visit a website. The paths correspond to a sequence of events that cause a visitor to visit the website. The processor can identify as paths, for each path, subpaths corresponding to each visit to the website. The processor computes a total path count for each path type. The processor identifies, for each path type, a conversion path count indicating a number of paths taken by visitors that resulted in a conversion at the website. The processor calculates, for each path type, a probability of conversion and then provides the calculated probability of conversion for a given path type for an attribution model used in assigning attribution credit to events of a path.

Abstract translation: 用于衡量归因模型的路径类型的转换概率的系统和方法包括由处理器识别访问者访问网站所采取的路径。 这些路径对应于导致访问者访问网站的一系列事件。 处理器可以为每个路径识别与对网站的每次访问相对应的子路径。 处理器计算每个路径类型的总路径计数。 处理器为每个路径类型识别一个转化路径计数，指示访问者在网站上进行转换所花费的路径数。 处理器为每个路径类型计算转换概率，然后为给定路径类型提供所计算的转换概率，用于为归属信用分配路径事件中使用的归属模型。

公开(公告)号：US20150161652A1

公开(公告)日：2015-06-11

申请号：US14264666

申请日：2014-04-29

Applicant: Google Inc.

Inventor： Stefan Schnabl ,  John Chih Chang Huang ,  Hongxu Cai ,  William Patrick Kee ,  Bozhena Bidyuk ,  Chao Cai ,  Xiaosa Zhao ,  James Edward Stewart ,  Richard Edward Little ,  Todd Morris Jackson

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0246

Abstract: Methods and systems for providing for display attribution data associated with one or more events are disclosed. Processor identifies channels from paths including events corresponding to position data identifying a position along the path at which the event was performed. Processor determines attribution credits assigned to each event included in the paths corresponding to the channel. Processor determines a number of attribution credits assigned to the channel. Processor identifies, from the paths, a plurality of event-position pairs. Each event-position pair corresponds to events that correspond to a respective channel and are performed at a respective position of the plurality of paths corresponding to the event-position pair. Processor determines, for each identified event-position pair, a weighting based on an aggregate of the attribution credits assigned to the events to which the event-position pair corresponds. Processor provides, for display, a visual object including an indicator to display the determined weightings.

Abstract translation: 公开了用于提供与一个或多个事件相关联的显示属性数据的方法和系统。 处理器识别来自路径的信道，包括与标识沿着该事件执行的路径的位置的位置数据相对应的事件。 处理器确定分配给与通道相对应的路径中包括的每个事件的归因信用。 处理器确定分配给频道的归因信用数量。 处理器从路径识别多个事件位置对。 每个事件位置对对应于对应于相应信道的事件，并且在对应于事件 - 位置对的多个路径的相应位置执行。 处理器对于每个识别的事件 - 位置对，基于分配给事件 - 位置对对应的事件的归因信用的总和来确定加权。 处理器提供用于显示的视觉对象，其包括用于显示确定的权重的指示符。

公开(公告)号：US09852439B2

公开(公告)日：2017-12-26

申请号：US14103440

申请日：2013-12-11

Applicant: Google Inc.

Inventor： Bozhena Bidyuk ,  Chao Cai ,  William Patrick Kee ,  Richard Edward Little ,  David Earl Barney ,  Stefan Schnabl

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0246

Abstract: Systems and methods for measuring conversion probabilities of a path types for an attribution model includes, identifying by a processor, paths taken by visitors to visit a website. The paths correspond to a sequence of events that cause a visitor to visit the website. The processor can identify as paths, for each path, subpaths corresponding to each visit to the website. The processor computes a total path count for each path type. The processor identifies, for each path type, a conversion path count indicating a number of paths taken by visitors that resulted in a conversion at the website. The processor calculates, for each path type, a probability of conversion and then provides the calculated probability of conversion for a given path type for an attribution model used in assigning attribution credit to events of a path.

公开(公告)号：US20170228764A1

公开(公告)日：2017-08-10

申请号：US15425252

申请日：2017-02-06

Applicant: Google Inc.

Inventor： Cameron M. Tangney ,  Sissie Ling-Ie Hsiao ,  Chao Cai

IPC: G06Q30/02 ,  H04L12/26 ,  H04L29/08

CPC classification number: G06Q30/0244 ,  G06F3/04847 ,  G06Q30/02 ,  G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0277 ,  H04L43/045 ,  H04L67/02 ,  H04L67/146

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for reducing bias caused by cleared cookies. In one aspect, a method includes obtaining, from a historical data store storing data obtained from cookies that have been placed on various client devices, a set of the data obtained from the cookies. The contents of a given cookie are used to identify an initialization time when the given cookie was placed on a given client device by a server. A determination is made, based on the initialization time, that the cookie has an age that is less than the threshold age. Data obtained from the given cookie is filtered from inclusion in a final set of data that is used to generate measurements based on the age of the cookie being less than the threshold age.

公开(公告)号：US20160155143A1

公开(公告)日：2016-06-02

申请号：US15003224

申请日：2016-01-21

Applicant: Google Inc.

Inventor： Sissie Ling-le Hsiao ,  Chao Cai ,  Eric W. Ewald ,  Cameron M. Tangney ,  Robert A. Walker, II ,  Japjit Tulsi ,  Ming Lei ,  Zhimin He

IPC: G06Q30/02

CPC classification number: G06Q30/0246 ,  G06F16/9535 ,  G06Q30/02 ,  G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0256 ,  G06Q30/0283

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

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，用于提供转换路径性能测量和报告。 在一个方面，获得用户交互数据，用户交互数据是否指定用于多个转换的用户交互。 与每个转换相关联的用户交互是从用户交互数据中选择的，其中每个转换的关联用户交互是用户在转换的转换周期期间与转换用户的交互。 使用所选用户交互的用户交互数据，确定与转换相关联的每次转换和在转换的转换周期期间发生的用户交互的数量。 反过来，计算转换路径性能度量，并生成指定转换路径性能测量的报告。

公开(公告)号：US09277278B2

公开(公告)日：2016-03-01

申请号：US14527481

申请日：2014-10-29

Applicant: Google Inc.

Inventor： David Barney ,  Chao Cai ,  Timothy Wright ,  William Patrick Kee

IPC: H04H60/32 ,  H04N21/442 ,  H04N21/258

CPC classification number: H04N21/44213 ,  H04H60/31 ,  H04H60/45 ,  H04H60/66 ,  H04N21/25883

Abstract: The present disclosure provides systems and methods for enhancing audience measurement data. Offline and online audience measurement data may be compared and correlated to improve the quality of each data and source set. Positive correlations between the offline and online data sets related to a particular event may indicate demographic traits that are likely true, such that outliers may be removed from the set or considered at a reduced weight. Negative correlations may indicate that demographic information within a source set, such as the online measurement data, may be false or suspect.

Abstract translation: 本公开提供了用于增强观众测量数据的系统和方法。 离线和在线观众测量数据可以进行比较和相关，以提高每个数据和源集的质量。 与特定事件相关的离线和在线数据集之间的正相关可以指示可能是真实的人口统计学特征，使得异常值可以从集合中移除或以减小的权重考虑。 负相关可能表明源集合中的人口统计信息（如在线测量数据）可能是假的或可疑的。

公开(公告)号：US20150161655A1

公开(公告)日：2015-06-11

申请号：US14103487

申请日：2013-12-11

Applicant: Google Inc.

Inventor： Bozhena Bidyuk ,  Stefan Schnabl ,  Richard Edward Little ,  Chao Cai ,  David Earl Barney ,  William Patrick Kee

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0246

Abstract: Systems and methods for selecting content for display at a device includes, identifying by a processor, a visitor identifier associated with a device on which to display content. The processor can identify a path associated with the visitor identifier. The path corresponding to a sequence of one or more events through which the visitor identifier has visited the website. The processor can identify a conversion probability of the identified path. The conversion probability of the identified path indicates a likelihood that the visitor identifier will convert at the website. The conversion probability of the identified path is a ratio of a number of conversions at the website to a number of visits to the website over a given time period. The processor can select content for display. The content selected based on the identified conversion probability of the identified path.

Abstract translation: 用于选择用于在设备上显示的内容的系统和方法包括：由处理器识别与其上显示内容的设备相关联的访问者标识符。 处理器可以识别与访问者标识符相关联的路径。 对应于访问者标识符访问了该网站的一个或多个事件的序列的路径。 处理器可以识别所识别的路径的转换概率。 所识别的路径的转换概率表示访问者标识符将在网站上转换的可能性。 所识别的路径的转换概率是网站上的转化次数与给定时间段内对网站的访问次数的比率。 处理器可以选择要显示的内容。 基于识别的路径的所识别的转换概率来选择内容。

公开(公告)号：US20140214535A1

公开(公告)日：2014-07-31

申请号：US13754551

申请日：2013-01-30

Applicant: Google Inc.

Inventor： William P. Kee ,  Chao Cai

IPC: G06Q30/02

CPC classification number: G06Q30/0275

Abstract: This specification describes technologies relating to selection and display of content items based in part on sequencing information. In general, one aspect of the subject matter described in this specification can be embodied in methods that include receiving a request for content and a user identifier. The methods may further include identifying a sequence of content items in a browsing history corresponding to the user identifier, where the content items in the sequence are members of a set of content items. The methods may further include retrieving an estimate of a conditional probability of conversion for a first content item from the set, where the first content item is presented after the identified sequence. The methods may further include determining a bid for an impression in the requested content based in part on the estimate of the conditional probability of conversion and transmitting the bid.

Abstract translation: 本说明书部分地基于排序信息描述与选择和显示内容项相关的技术。 通常，本说明书中描述的主题的一个方面可以包括接收对内容的请求和用户标识符的方法。 所述方法还可以包括识别与所述用户标识符相对应的浏览历史中的内容项的序列，其中所述序列中的内容项是一组内容项的成员。 所述方法还可以包括从所述集合中检索第一内容项目的条件转换概率的估计，其中在所识别的序列之后呈现第一内容项目。 所述方法可以进一步包括：部分地基于条件转换概率和发送投标的估计来确定所请求内容中的印象的出价。