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1. 发明授权

US10111102B2 Identifying call characteristics to detect fraudulent call activity and take corrective action without using recording, transcription or caller ID 有权
公开(公告)号：US10111102B2
公开(公告)日：2018-10-23
申请号：US14550089
申请日：2014-11-21
申请人： Marchex, Inc.
发明人： Jason Flaks , Ziad Ismail
IPC分类号： H04W12/12 , H04M15/00 , H04M3/436 , H04L29/06 , H04W12/08
摘要： 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.

2. 发明授权

US10049661B2 System and method for analyzing and classifying calls without transcription via keyword spotting 有权
公开(公告)号：US10049661B2
公开(公告)日：2018-08-14
申请号：US15339619
申请日：2016-10-31
申请人： Marchex, Inc.
发明人： Jason Flaks , Ziad Ismail , Chris Kolbegger
IPC分类号： G10L15/00 , G10L15/193 , G10L15/18 , G10L15/14 , G10L15/16 , H04M3/51 , G10L15/08
摘要： 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.

3. 发明申请

US20180165688A1 SOURCE-AGNOSTIC CORRELATION OF CONSUMER TELEPHONE NUMBERS AND USER IDENTIFIERS 审中-公开
公开(公告)号：US20180165688A1
公开(公告)日：2018-06-14
申请号：US15840155
申请日：2017-12-13
申请人： Marchex, Inc.
发明人： Ziad Ismail , Clay Colburn , Adarsh Nair , Sundi Raman , Jacob Lucas , Chris Zazzi , Preston Hillman
IPC分类号： G06Q30/00 , G06Q30/02
CPC分类号： G06Q30/01 , G06Q30/02 , G06Q30/0201 , G06Q30/0277
摘要： A system and method that correlates a user identifier, associated with a computing device being used by a consumer, with a telephone number belonging to the consumer. The system maintains advertising impression data, describing online advertising impressions associated with user identifiers, and call data, describing telephone calls to a businesses and the telephone numbers from which the calls were received. Based on the maintained advertising impression and call data, the system generates correlations between telephone numbers and user identifiers for a consumer.

4. 发明申请

US20170149984A1 IDENTIFYING CALL FEATURES AND ASSOCIATIONS TO DETECT CALL TRAFFIC PUMPING AND TAKE CORRECTIVE ACTION 审中-公开
公开(公告)号：US20170149984A1
公开(公告)日：2017-05-25
申请号：US15339682
申请日：2016-10-31
申请人： Marchex, Inc.
发明人： Jason Flaks , Iroro Orife , Bryan Rieger , Ryan O Rourke , Shane Walker
IPC分类号： H04M15/00 , H04M3/22
CPC分类号： H04M15/47 , H04M3/2263 , H04M3/2281 , H04M3/367 , H04M7/0078 , H04M15/50 , H04M15/58 , H04M2203/6027 , H04M2215/0148
摘要： A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity. If the assessed probability of call traffic pumping activity exceeds a threshold, the system takes appropriate corrective action, such as terminating or flagging the monitored call.

5. 发明授权

US10810995B2 Automatic speech recognition (ASR) model training 有权
公开(公告)号：US10810995B2
公开(公告)日：2020-10-20
申请号：US15965690
申请日：2018-04-27
申请人： Marchex, Inc.
发明人： Jason Flaks , Shane Walker , Iroro Orife , Morten Pedersen
IPC分类号： G10L15/06 , G10L15/26
摘要： The disclosed system continuously refines a model used by an Automatic Speech Recognition (ASR) system to enable fast and accurate transcriptions of detected speech activity. The ASR system analyzes speech activity to generate text transcriptions and associated metrics (such as minimum Bayes risk and/or perplexity) that correspond to the quality of or confidence in each generated transcription. The system employs a filtering process to select certain text transcriptions based in part on one or more associated quality metrics. In addition, the system corrects for known systemic errors within the ASR system and provides a mechanism for manual review and correction of transcriptions. The system selects a subset of transcriptions based on factors including confidence score, and uses the selected subset of transcriptions to re-train the ASR model. By continuously retraining the ASR model, the system is able to provide ever faster and more accurate text transcriptions of detected speech activity.

6. 发明申请

US20190200230A1 IDENTIFYING CALL CHARACTERISTICS TO DETECT FRAUDULENT CALL ACTIVITY AND TAKE CORRECTIVE ACTION WITHOUT USING RECORDING, TRANSCRIPTION OR CALLER ID 审中-公开
公开(公告)号：US20190200230A1
公开(公告)日：2019-06-27
申请号：US16166339
申请日：2018-10-22
申请人： Marchex, Inc.
发明人： Jason Flaks , Ziad Ismail
IPC分类号： H04W12/12 , H04M15/00 , H04L29/06 , H04M3/436
CPC分类号： H04W12/12 , H04L63/0236 , H04L63/1425 , H04M3/436 , H04M15/47 , H04M15/58 , H04M15/8083 , H04M2201/18 , H04M2203/556 , H04W12/08
摘要： 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.

7. 发明授权

US09614962B2 System and method for analyzing and classifying calls without transcription 有权
公开(公告)号：US09614962B2
公开(公告)日：2017-04-04
申请号：US14834196
申请日：2015-08-24
申请人： Marchex, Inc.
发明人： Chris Kolbegger , Jason Flaks , Tim Graber , Bryan Rieger , Ziad Ismail , Govindaraj Ramanathan , Darren Spehr , Matthew Berk
IPC分类号： H04M1/64 , H04M3/51 , G10L25/51 , H04M3/22 , G10L25/93 , H04M3/42 , G10L25/78 , H04L12/24 , H04L12/26
CPC分类号： H04M3/5175 , G10L25/51 , G10L25/78 , G10L25/93 , H04L41/5067 , H04L43/0852 , H04M3/2281 , H04M3/42221 , H04M3/5166 , H04M2203/559
摘要： 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.

8. 发明申请

US20170084272A1 SYSTEM AND METHOD FOR ANALYZING AND CLASSIFYING CALLS WITHOUT TRANSCRIPTION VIA KEYWORD SPOTTING 审中-公开
公开(公告)号：US20170084272A1
公开(公告)日：2017-03-23
申请号：US15339619
申请日：2016-10-31
申请人： Marchex, Inc.
发明人： Jason Flaks , Ziad Ismail , Chris Kolbegger
IPC分类号： G10L15/193 , G10L15/14 , H04M3/51 , G10L15/16
CPC分类号： G10L15/193 , G10L15/142 , G10L15/16 , G10L15/1822 , G10L2015/088 , H04M3/5175 , H04M2201/18 , H04M2201/40 , H04M2201/405 , H04M2203/6009 , H04M2242/12
摘要： 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.

9. 发明申请

US20160335668A1 CALL ANALYTICS FOR MOBILE ADVERTISING 审中-公开
标题翻译：呼叫分析用于移动广告
公开(公告)号：US20160335668A1
公开(公告)日：2016-11-17
申请号：US14714141
申请日：2015-05-15
申请人： Marchex, Inc.
发明人： Preston J. Hillman , Chris Jones , Adarsh S. Nair
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0256 , G06Q30/0267 , G06Q30/0276
摘要： A call analytics system for analyzing the effectiveness of advertising campaigns using performance data and call data. Specifically, the call analytics system evaluates the performance of different keywords in generating calls to displayed phone numbers. The call analytics system uses statistical techniques to correlate received calls to displayed phone numbers with those keyword or keywords that were associated with displayed advertisements. The system gives advertisers the ability to track and measure which keywords drive sales for mobile users that call advertisers directly from ads on their smartphones or other mobile devices. In some embodiments, the system uses the calculated effectiveness of certain keywords to recommend changes to present or future advertising campaigns of the advertiser.
摘要翻译：一种呼叫分析系统，用于分析使用性能数据和呼叫数据的广告活动的有效性。具体来说，呼叫分析系统会评估不同关键字在显示电话号码的呼叫中的表现。呼叫分析系统使用统计技术将接收到的呼叫与显示的电话号码与与所显示的广告相关联的那些关键字或关键字相关联。该系统使广告客户能够跟踪和衡量哪些关键字为通过智能手机或其他移动设备上的广告直接呼叫广告客户的移动用户提供销售。在一些实施例中，系统使用某些关键字计算的有效性来推荐对广告主的当前或将来的广告活动的改变。

10. 发明授权

US11522993B2 Systems and methods for rapid analysis of call audio data using a stream-processing platform 有权
公开(公告)号：US11522993B2
公开(公告)日：2022-12-06
申请号：US17128692
申请日：2020-12-21
申请人： Marchex, Inc.
发明人： William Li , Michael Kunugiyama
IPC分类号： H04M3/22 , H04M3/42 , G10L15/30 , G10L15/26 , G06Q30/00 , G06Q30/02 , G06Q10/10 , G06Q10/06 , G06N20/00 , G10L15/08 , H04L65/65
摘要： A call analytics system and associated methods that can be used to rapidly analyze call data and provide conversational insights. The call analytics system receives audio call data of a phone call between a customer and an agent of a business, and converts the call data into one or more messages for handling by a distributed stream-processing platform. In some embodiments, the stream-processing platform is the Apache Kafka platform. The distributed platform processes the messages and communicates with various software modules to generate a variety of conversational insights. When processed by a stream-processing platform, certain analyses can occur in parallel which allows conversational insights to be provided to the businesses shortly (e.g., within seconds) after the call data is received.

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