公开(公告)号：US08634520B1

公开(公告)日：2014-01-21

申请号：US13756380

申请日：2013-01-31

Applicant: Marchex, Inc.

Inventor： Amanda Morrison ,  Govind Ramanathan ,  John Busby ,  Ziad Ismail

IPC: H04M3/42 ,  H04L12/26 ,  G06F15/16

CPC classification number: H04M3/436 ,  H04M3/4878 ,  H04M2203/6072

Abstract: A call tracking system and method that uses an automated filtering function to increase accuracy of call tracking. In some embodiments, the system utilizes a spam blocking module, such as a challenge-response test (e.g., a CAPTCHA), a blacklist for callers sharing certain criteria indicative of robo-dialed or spam calls, or other similar spam filter to block unwanted calls from being routed to an advertiser. By using a spam blocking module, the amount of noise in the call tracking system can be reduced and the attribution of calls correspondingly more accurate. In some embodiments, an interactive voice response (IVR) module is utilized to reduce the noise in the system by filtering or blocking unwanted calls. By utilizing an automated filtering function, the disclosed system improves the accuracy of call tracking and allows advertisers to better track the performance of advertising campaigns that they undertake.

Abstract translation: 一种呼叫跟踪系统和方法，其使用自动过滤功能来提高呼叫跟踪的准确性。 在一些实施例中，该系统利用垃圾邮件拦截模块，例如挑战响应测试（例如，CAPTCHA），用于呼叫者共享指示robo-dialed或spam呼叫的某些标准的黑名单或其他类似的垃圾邮件过滤器来阻止不需要的 呼叫被路由到广告客户。 通过使用垃圾邮件拦截模块，可以减少呼叫跟踪系统中的噪声量，并且呼叫的归属相应更准确。 在一些实施例中，利用交互式语音响应（IVR）模块来通过过滤或阻止不需要的呼叫来减少系统中的噪声。 通过利用自动过滤功能，所公开的系统提高了呼叫跟踪的准确性，并允许广告商更好地跟踪他们承担的广告活动的表现。

公开(公告)号：US10699303B2

公开(公告)日：2020-06-30

申请号：US15019826

申请日：2016-02-09

Applicant: Marchex, Inc.

Inventor： Ziad Ismail ,  Chris Kolbegger

IPC: G06Q30/00 ,  G06Q30/02 ,  H04M3/22

Abstract: A method and system that performs cross-channel correlation of user identifiers with consumer telephone numbers. The system receives impression data characterizing the exposure of users to mechanisms for contacting businesses, the impression data including associated phone number and a date and time for each of the exposures. The system also receives call data describing telephone calls to businesses, the call data including a caller telephone number, a callee telephone number, and a date and time for each of the calls. Based on matching impression telephone numbers and call data callee numbers, the system forms correlations between corresponding user identifiers and caller telephone numbers. Correlations are also assigned a confidence level, based on the date and time of the corresponding exposures and telephone calls, that reflects the likelihood that a user associated with the correlated user identifier is the same as the user associated with the correlated caller telephone number.

公开(公告)号：US10348896B2

公开(公告)日：2019-07-09

申请号：US15475456

申请日：2017-03-31

Applicant: Marchex, Inc.

Inventor： Chris Kolbegger ,  Jason Flaks ,  Tim Graber ,  Bryan Rieger ,  Ziad Ismail ,  Govindaraj Ramanathan ,  Darren Spehr ,  Matthew Berk

IPC: H04M3/51 ,  G10L25/51 ,  H04M3/22 ,  G10L25/93 ,  H04M3/42 ,  G10L25/78 ,  H04L12/24 ,  H04L12/26

Abstract: A facility and method for analyzing and classifying calls without transcription. The facility analyzes individual frames of an audio to identify speech and measure the amount of time spent in speech for each channel (e.g., caller channel, agent channel). Additional telephony metrics such as R-factor or MOS score and other metadata may be factored in as audio analysis inputs. The facility then analyzes the frames together as a whole and formulates a clustered-frame representation of a conversation to further identify dialog patterns and characterize call classification. Based on the data in the clustered-frame representation, the facility is able to make estimations of call classification. The correlation of dialog patterns to call classification may be utilized to develop targeted solutions for call classification issues, target certain advertising channels over others, evaluate advertising placements at scale, score callers, and to identify spammers.

公开(公告)号：US09484026B2

公开(公告)日：2016-11-01

申请号：US14990221

申请日：2016-01-07

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail ,  Chris Kolbegger

IPC: G10L15/00 ,  G10L15/193 ,  G10L15/18 ,  G10L15/14 ,  G10L15/16 ,  H04M3/51 ,  G10L15/08

CPC classification number: G10L15/193 ,  G10L15/142 ,  G10L15/16 ,  G10L15/1822 ,  G10L2015/088 ,  H04M3/5175 ,  H04M2201/18 ,  H04M2201/40 ,  H04M2201/405 ,  H04M2203/6009 ,  H04M2242/12

Abstract: A facility and method for analyzing and classifying calls without transcription via keyword spotting is disclosed. The facility uses a group of calls having known outcomes to generate one or more domain- or entity-specific grammars containing keywords and related information that are indicative of particular outcome. The facility monitors telephone calls by determining the domain or entity associated with the call, loading the appropriate grammar or grammars associated with the determined domain or entity, and tracking keywords contained in the loaded grammar or grammars that are spoken during the monitored call, along with additional information. The facility performs a statistical analysis on the tracked keywords and additional information to determine a classification for the monitored telephone call.

Abstract translation: 公开了一种通过关键词检测来分析和分类无转录的设施和方法。 该设施使用具有已知结果的一组呼叫来生成包含关键字和相关信息的一个或多个域或实体特定语法，这些语法指示特定的结果。 该设施通过确定与呼叫相关联的域或实体来监视电话呼叫，加载与所确定的域或实体相关联的适当语法或语法，以及跟踪包含在被监视呼叫期间所述的加载的语法或语法中的关键字以及 附加信息。 该设施对跟踪的关键字和附加信息进行统计分析，以确定被监视的电话呼叫的分类。

公开(公告)号：US20150365530A1

公开(公告)日：2015-12-17

申请号：US14834196

申请日：2015-08-24

Applicant: MARCHEX, INC.

Inventor： Chris Kolbegger ,  Jason Flaks ,  Tim Graber ,  Bryan Rieger ,  Ziad Ismail ,  Govindaraj Ramanathan ,  Darren Spehr ,  Matthew Berk

IPC: H04M3/51 ,  H04M3/42 ,  G10L25/93 ,  H04M3/22

CPC classification number: H04M3/5175 ,  G10L25/51 ,  G10L25/78 ,  G10L25/93 ,  H04L41/5067 ,  H04L43/0852 ,  H04M3/2281 ,  H04M3/42221 ,  H04M3/5166 ,  H04M2203/559

Abstract: A facility and method for analyzing and classifying calls without transcription. The facility analyzes individual frames of an audio to identify speech and measure the amount of time spent in speech for each channel (e.g., caller channel, agent channel). Additional telephony metrics such as R-factor or MOS score and other metadata may be factored in as audio analysis inputs. The facility then analyzes the frames together as a whole and formulates a clustered-frame representation of a conversation to further identify dialogue patterns and characterize call classification. Based on the data in the clustered-frame representation, the facility is able to make estimations of call classification. The correlation of dialogue patterns to call classification may be utilized to develop targeted solutions for call classification issues, target certain advertising channels over others, evaluate advertising placements at scale, score callers, and to identify spammers.

Abstract translation: 用于分析和分类呼叫而不进行转录的设施和方法。 该设施分析音频的各个帧以识别语音并测量每个频道（例如，主叫频道，代理频道）在语音中花费的时间量。 诸如R因子或MOS分数和其他元数据的附加电话指标可以作为音频分析输入被考虑。 该设施然后将框架作为一个整体进行分析，并且制定会话的聚集框架表示，以进一步识别对话模式并表征呼叫分类。 基于集群帧表示中的数据，该设施能够对呼叫分类进行估计。 可以利用对话模式与呼叫分类的相关性来制定呼叫分类问题的有针对性的解决方案，将某些广告渠道定位到其他广告渠道，评估广告刊登位置，评分呼叫者和识别垃圾邮件发送者。

公开(公告)号：US20140270114A1

公开(公告)日：2014-09-18

申请号：US13842769

申请日：2013-03-15

Applicant: MARCHEX, INC.

Inventor： Chris Kolbegger ,  Jason Flaks ,  Tim Graber ,  Bryan Rieger ,  Ziad Ismail ,  Govindaraj Ramanathan ,  Darren Spehr ,  Matthew Berk

IPC: G10L15/04

CPC classification number: H04M3/5175 ,  G10L25/51 ,  G10L25/78 ,  G10L25/93 ,  H04L41/5067 ,  H04L43/0852 ,  H04M3/2281 ,  H04M3/42221 ,  H04M3/5166 ,  H04M2203/559

Abstract: A facility and method for analyzing and classifying calls without transcription. The facility analyzes individual frames of an audio to identify speech and measure the amount of time spent in speech for each channel (e.g., caller channel, agent channel). Additional telephony metrics such as R-factor or MOS score and other metadata may be factored in as audio analysis inputs. The facility then analyzes the frames together as a whole and formulates a clustered-frame representation of a conversation to further identify dialogue patterns and characterize call classification. Based on the data in the clustered-frame representation, the facility is able to make estimations of call classification. The correlation of dialogue patterns to call classification may be utilized to develop targeted solutions for call classification issues, target certain advertising channels over others, evaluate advertising placements at scale, score callers, and to identify spammers.

Abstract translation: 用于分析和分类呼叫而不进行转录的设施和方法。 该设施分析音频的各个帧以识别语音并测量每个频道（例如，主叫频道，代理频道）在语音中花费的时间量。 诸如R因子或MOS分数和其他元数据的附加电话指标可以作为音频分析输入被考虑。 该设施然后将框架作为一个整体进行分析，并且制定会话的聚集框架表示，以进一步识别对话模式并表征呼叫分类。 基于集群帧表示中的数据，该设施能够对呼叫分类进行估计。 可以利用对话模式与呼叫分类的相关性来制定呼叫分类问题的有针对性的解决方案，将某些广告渠道定位到其他广告渠道，评估广告刊登位置，评分呼叫者和识别垃圾邮件发送者。

公开(公告)号：US08687782B1

公开(公告)日：2014-04-01

申请号：US13756480

申请日：2013-01-31

Applicant: Marchex, Inc.

Inventor： Ziad Ismail

IPC: H04M15/00

CPC classification number: G06Q30/0247 ,  H04M3/436 ,  H04M3/493

Abstract: A call tracking system and method that estimates a number of calls associated with a publication channel. The system uses a sampling algorithm to perform the estimation. The sampling algorithm selects a group of advertisements to serve as a sample group, and determines a distribution of calls for each of the publication channels associated with the sample group. The distribution of calls from the publication channels is assumed to be the same for all advertisements, and the data from the sample group is used to model the performance across all advertisements. The selected advertisements may be associated with one or more advertisers. Pooled or dynamic signal processing methods may also be used to estimate a number of calls associated with a publication channel. The number of calls associated with a publication channel may be utilized to determine the efficiency of, or calculate the revenue share associated with, an advertising campaign.

Abstract translation: 一种呼叫跟踪系统和方法，用于估计与发布频道相关联的呼叫数量。 系统使用采样算法进行估计。 采样算法选择一组广告作为样本组，并确定与样本组相关联的每个发布频道的呼叫分布。 来自发布渠道的呼叫分配被假设为对所有广告是相同的，并且来自样本组的数据用于对所有广告的性能进行建模。 所选择的广告可以与一个或多个广告商相关联。 汇集的或动态的信号处理方法也可以用于估计与出版信道相关联的呼叫的数量。 可以利用与发布频道相关联的呼叫的数量来确定与广告活动相关联的效率或计算收入分成。

公开(公告)号：US10477403B2

公开(公告)日：2019-11-12

申请号：US16166339

申请日：2018-10-22

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail

IPC: H04W12/12 ,  H04M15/00 ,  H04M3/436 ,  H04L29/06 ,  H04W12/08

Abstract: A system and method for monitoring telephone calls to detect fraudulent activity and take corrective action is described. The system receives a group of telephone calls having associated call characteristics and analyzes the group of telephone calls to identify and store a first set of distributions of call characteristics that are indicative of normal activity, fraudulent activity, or indeterminate activity. The system receives one or more subsequent telephone calls to be analyzed. The system analyzes the received one or more telephone calls to identify a second set of distributions of call characteristics associated with the received telephone call. The system then compares the second set of distributions of call characteristics to the stored first set of distributions of call characteristics to assess a probability that the one or more received telephone calls represents normal, fraudulent, or indeterminate activity. If the assessed probability of fraudulent activity exceeds a threshold, the system takes appropriate corrective action, such a flagging the fraudulent call or withholding a financial incentive associated with the fraudulent call.

公开(公告)号：US10475075B2

公开(公告)日：2019-11-12

申请号：US13865966

申请日：2013-04-18

Applicant: Marchex, Inc.

Inventor： Ziad Ismail ,  Chris Kolbegger

IPC: G06Q30/00 ,  G06Q30/02 ,  H04M3/22

Abstract: A method and system that performs cross-channel advertisement targeting based on consumer telephone numbers. The system utilizes a targeting database to determine which consumers should be re-engaged on behalf of a business. The targeting database correlates a telephone number associated with a consumer with a masked user identifier associated with the tracking of online behavior of that consumer. The targeting database may include a confidence level representing the likelihood of correspondence between the telephone number and masked user identifier. The targeting database is used by the system to target advertisements to consumers. A telephone number of a consumer is used to identify a masked identifier of the consumer. Advertisements are then targeted to the consumer using the masked identifier. The stored confidence level may be used by the system to control the aggressiveness of re-targeting.

公开(公告)号：US09596356B2

公开(公告)日：2017-03-14

申请号：US14987565

申请日：2016-01-04

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail

IPC: H04M15/00 ,  H04M3/38

CPC classification number: H04M15/47 ,  G10L15/00 ,  G10L17/26 ,  H04L63/1425 ,  H04M3/2281 ,  H04M3/38 ,  H04M2203/6027

Abstract: A system and method for monitoring telephone calls to detect fraudulent activity and take corrective action is described. The system receives a first group of telephone calls having associated voice characteristics and analyzes the first group of telephone calls to identify and store a first set of distributions of voice characteristics that are indicative of normal activity, fraudulent activity, or indeterminate activity. The system receives a second group of telephone calls to be analyzed. The system analyzes the second group of telephone calls to identify a second set of distributions of voice characteristics associated with the second group of telephone calls. The system then compares the second set of distributions of voice characteristics to the stored first set of distributions of voice characteristics to assess a probability that one or more telephone calls in the second group of telephone calls represents normal, fraudulent, or indeterminate activity. If the assessed probability of fraudulent activity exceeds a threshold, the system takes appropriate corrective action, such a flagging the fraudulent call or withholding a financial incentive associated with the fraudulent call.

Abstract translation: 描述用于监视电话呼叫以检测欺诈活动并采取纠正措施的系统和方法。 该系统接收具有相关语音特征的第一组电话呼叫，并分析第一组电话呼叫以识别和存储指示正常活动，欺诈活动或不确定活动的语音特征分布的第一组。 该系统接收要分析的第二组电话呼叫。 系统分析第二组电话呼叫，以识别与第二组电话呼叫相关联的语音特征的第二组分布。 然后，系统将语音特征的第二组分布与存储的第一组语音特征分布进行比较，以评估第二组电话中的一个或多个电话呼叫代表正常，欺诈或不确定的活动的概率。 如果欺诈活动的评估概率超过阈值，则系统采取适当的纠正措施，例如标示欺诈性呼叫或扣除与欺诈性呼叫相关的经济激励。