Patents by Inventor Ziad Ismail
Ziad Ismail has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10699303Abstract: 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.Type: GrantFiled: February 9, 2016Date of Patent: June 30, 2020Assignee: Marchex, Inc.Inventors: Ziad Ismail, Chris Kolbegger
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Patent number: 10475075Abstract: 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.Type: GrantFiled: April 18, 2013Date of Patent: November 12, 2019Assignee: Marchex, Inc.Inventors: Ziad Ismail, Chris Kolbegger
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Patent number: 10477403Abstract: 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.Type: GrantFiled: October 22, 2018Date of Patent: November 12, 2019Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail
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Patent number: 10348896Abstract: 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.Type: GrantFiled: March 31, 2017Date of Patent: July 9, 2019Assignee: Marchex, Inc.Inventors: Chris Kolbegger, Jason Flaks, Tim Graber, Bryan Rieger, Ziad Ismail, Govindaraj Ramanathan, Darren Spehr, Matthew Berk
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Publication number: 20190200230Abstract: 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.Type: ApplicationFiled: October 22, 2018Publication date: June 27, 2019Inventors: Jason Flaks, Ziad Ismail
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Patent number: 10111102Abstract: 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.Type: GrantFiled: November 21, 2014Date of Patent: October 23, 2018Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail
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Patent number: 10049661Abstract: 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.Type: GrantFiled: October 31, 2016Date of Patent: August 14, 2018Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail, Chris Kolbegger
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Publication number: 20180165688Abstract: 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.Type: ApplicationFiled: December 13, 2017Publication date: June 14, 2018Inventors: Ziad Ismail, Clay Colburn, Adarsh Nair, Sundi Raman, Jacob Lucas, Chris Zazzi, Preston Hillman
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Publication number: 20170366668Abstract: 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.Type: ApplicationFiled: March 31, 2017Publication date: December 21, 2017Inventors: Chris Kolbegger, Jason Flaks, Tim Graber, Bryan Rieger, Ziad Ismail, Govindaraj Ramanathan, Darren Spehr, Matthew Berk
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Patent number: 9614962Abstract: 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.Type: GrantFiled: August 24, 2015Date of Patent: April 4, 2017Assignee: Marchex, Inc.Inventors: Chris Kolbegger, Jason Flaks, Tim Graber, Bryan Rieger, Ziad Ismail, Govindaraj Ramanathan, Darren Spehr, Matthew Berk
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Publication number: 20170084272Abstract: 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.Type: ApplicationFiled: October 31, 2016Publication date: March 23, 2017Inventors: Jason Flaks, Ziad Ismail, Chris Kolbegger
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Patent number: 9596356Abstract: 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.Type: GrantFiled: January 4, 2016Date of Patent: March 14, 2017Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail
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Patent number: 9484026Abstract: 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.Type: GrantFiled: January 7, 2016Date of Patent: November 1, 2016Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail, Chris Kolbegger
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Publication number: 20160155148Abstract: 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, where the impression data includes an associated phone number and a date and time for each of the exposures. The system also receives call data describing telephone calls to businesses, where the call data includes 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 the user identifiers and caller telephone numbers of the corresponding exposures and telephone calls.Type: ApplicationFiled: February 9, 2016Publication date: June 2, 2016Inventors: Ziad Ismail, Chris Kolbegger
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Publication number: 20160150414Abstract: 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.Type: ApplicationFiled: November 21, 2014Publication date: May 26, 2016Inventors: Jason Flaks, Ziad Ismail
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Publication number: 20160150092Abstract: 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.Type: ApplicationFiled: January 4, 2016Publication date: May 26, 2016Inventors: Jason Flaks, Ziad Ismail
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Publication number: 20160118041Abstract: 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.Type: ApplicationFiled: January 7, 2016Publication date: April 28, 2016Inventors: Jason Flaks, Ziad Ismail, Chris Kolbegger
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Patent number: 9263038Abstract: 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.Type: GrantFiled: October 3, 2013Date of Patent: February 16, 2016Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail, Chris Kolbegger
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Patent number: 9232052Abstract: 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.Type: GrantFiled: November 21, 2014Date of Patent: January 5, 2016Assignee: Marchex, Inc.Inventors: Jason Flaks, Ziad Ismail
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Publication number: 20150365530Abstract: 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.Type: ApplicationFiled: August 24, 2015Publication date: December 17, 2015Inventors: Chris Kolbegger, Jason Flaks, Tim Graber, Bryan Rieger, Ziad Ismail, Govindaraj Ramanathan, Darren Spehr, Matthew Berk