公开(公告)号：US09858588B2

公开(公告)日：2018-01-02

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.

公开(公告)号：US20150237395A1

公开(公告)日：2015-08-20

申请号：US14527481

申请日：2014-10-29

Applicant: Google Inc.

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

IPC: 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：US08910195B1

公开(公告)日：2014-12-09

申请号：US14185534

申请日：2014-02-20

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：US09858587B2

公开(公告)日：2018-01-02

申请号：US14103589

申请日：2013-12-11

Applicant: Google Inc.

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

IPC: G06Q30/00 ,  G06Q30/02

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

Abstract: Systems and methods for creating a data-driven attribution model are described. A processor identifies visits to a website. The processor identifies a path for each visitor identifier associated with the visits. The processor determines, for each path type associated with the identified paths, a path-type conversion probability based on a number of visits corresponding to the path type that resulted in a conversion. The processor calculates, for each of a plurality of the path types, a counterfactual gain for each event based on a conversion probability of the given path type and a conversion probability of a path type that does not include the event for which the counterfactual gain is calculated. The processor determines, for each event, an attribution credit based on the calculated counterfactual gain of the event. The processor then stores the attribution credits of each of the events.

公开(公告)号：US20150213511A1

公开(公告)日：2015-07-30

申请号：US14167383

申请日：2014-01-29

Applicant: Google Inc.

Inventor： William Patrick Kee ,  David Barney

IPC: G06Q30/02

Abstract: Systems, methods, and computer-readable storage media that may be used to adjust bid settings based on content presented through other communication media are provided. One method includes determining a time at which a first content item of a content provider is likely to have been presented to a plurality of users through a first communication medium. The method further includes adjusting a current bid setting for at least one bid for one or more auctions to be displayed through a content interface on one or more user devices. The bid is adjusted for a time period after the determined time, and is associated with at least one second content item that is related to a subject matter of the first content item. The method further includes applying the adjusted bid setting to the at least one bid for content auctions that are conducted during the time period.

Abstract translation: 提供了可以用于基于通过其他通信介质呈现的内容来调整出价设置的系统，方法和计算机可读存储介质。 一种方法包括通过第一通信介质来确定内容提供商的第一内容项目可能被呈现给多个用户的时间。 该方法还包括调整针对要通过一个或多个用户设备上的内容界面显示的一个或多个拍卖的至少一个出价的当前出价设置。 出价在确定的时间之后的一段时间内进行调整，并且与与第一内容项目的主题相关的至少一个第二内容项目相关联。 该方法还包括将经调整的投标设置应用于在该时间段内进行的内容拍卖的至少一个投标。

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：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：US09852440B2

公开(公告)日：2017-12-26

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: G06Q30/00 ,  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.

公开(公告)号：US20150161658A1

公开(公告)日：2015-06-11

申请号：US14103589

申请日：2013-12-11

Applicant: Google Inc.

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

IPC: G06Q30/02

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

Abstract: Systems and methods for creating a data-driven attribution model are described. A processor identifies visits to a website. The processor identifies a path for each visitor identifier associated with the visits. The processor determines, for each path type associated with the identified paths, a path-type conversion probability based on a number of visits corresponding to the path type that resulted in a conversion. The processor calculates, for each of a plurality of the path types, a counterfactual gain for each event based on a conversion probability of the given path type and a conversion probability of a path type that does not include the event for which the counterfactual gain is calculated. The processor determines, for each event, an attribution credit based on the calculated counterfactual gain of the event. The processor then stores the attribution credits of each of the events.

Abstract translation: 描述了用于创建数据驱动归因模型的系统和方法。 处理器识别对网站的访问。 处理器识别与访问相关联的每个访问者标识符的路径。 对于与所识别的路径相关联的每个路径类型，处理器基于与导致转换的路径类型相对应的访问次数来确定路径类型转换概率。 对于多个路径类型中的每一个，处理器基于给定路径类型的转换概率和不包括反事实增益的事件的路径类型的转换概率来计算每个事件的每个事件的反事实增益 计算。 处理器根据事件的反事实增益确定每个事件的归因信用。 然后处理器存储每个事件的归因信用。