Patents by Inventor Shawn Ryan Jeffery
Shawn Ryan Jeffery 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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Publication number: 20240029086Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: ApplicationFiled: August 4, 2023Publication date: January 25, 2024Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Patent number: 11756059Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: GrantFiled: December 28, 2021Date of Patent: September 12, 2023Assignee: Groupon, Inc.Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Publication number: 20230009563Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.Type: ApplicationFiled: June 16, 2022Publication date: January 12, 2023Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
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Publication number: 20220382794Abstract: Embodiments provide an apparatus, method and computer program product for generating validated attribute descriptors related to natural language processing. Natural language processing is performed to determine a set of attribute descriptors associated with textual information. An attribute descriptor cleaning process is then performed with respect to the set of attribute descriptors to determine a subset of attribute descriptors. Each attribute descriptor of the subset of attribute descriptors is compared to an attribute descriptor record to identify one or more common attribute descriptors. Additionally, a validated list of attribute descriptors is generated by removing the one or more common attribute descriptors from the subset of attribute descriptors.Type: ApplicationFiled: June 14, 2022Publication date: December 1, 2022Inventors: Gaston L'Huillier, Jonathan Esterhazy, Dor Levi, Amit Koren, Daniel Langdon, Bhupesh Bansal, Feras Karablieh, Hernan Enrique Arroyo Garcia, Srinivasa Raghavan Vedanarayanan, Shawn Ryan Jeffery, Francisco Jose Larrain
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Publication number: 20220300828Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.Type: ApplicationFiled: March 2, 2022Publication date: September 22, 2022Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
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Publication number: 20220230189Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: ApplicationFiled: December 28, 2021Publication date: July 21, 2022Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Patent number: 11392837Abstract: Embodiments provide for automated dynamic data quality assessment. A data quality job including a new data sample is received. If the new data sample is determined to be added to a reservoir of data samples, a quality verification request is sent to an oracle. A new data sample quality estimate is received from the oracle. The new data sample and estimate can be added to the reservoir. A judgment associated with a new data sample is received from a predictive model. Whether to send a new data sample quality verification request to an oracle is determined. If a new data sample quality estimate is received from the oracle, whether to add the new data sample and the judgment to the reservoir is determined.Type: GrantFiled: February 19, 2019Date of Patent: July 19, 2022Assignee: GROUPON, INC.Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
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Publication number: 20220180250Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: ApplicationFiled: November 17, 2021Publication date: June 9, 2022Inventors: Shawn Ryan Jeffery, David Alan Johnston
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Patent number: 11295215Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.Type: GrantFiled: June 6, 2019Date of Patent: April 5, 2022Assignee: Groupon, Inc.Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
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Patent number: 11244328Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: GrantFiled: October 22, 2019Date of Patent: February 8, 2022Assignee: Groupon, Inc.Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Patent number: 11210604Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: GrantFiled: December 19, 2014Date of Patent: December 28, 2021Assignee: Groupon, Inc.Inventors: Shawn Ryan Jeffery, David Alan Johnston
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Publication number: 20200302337Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: ApplicationFiled: March 4, 2020Publication date: September 24, 2020Inventors: SHAWN RYAN JEFFERY, Nick PENDAR, Mark Thomas DALY, Matthew DELAND, David Alan JOHNSTON
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Publication number: 20200160358Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: ApplicationFiled: October 22, 2019Publication date: May 21, 2020Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Patent number: 10657457Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: GrantFiled: December 19, 2014Date of Patent: May 19, 2020Assignee: GROUPON, INC.Inventors: Shawn Ryan Jeffery, Nick Pendar, Mark Thomas Daly, Matthew DeLand, David Alan Johnston
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Patent number: 10614373Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: GrantFiled: December 19, 2014Date of Patent: April 7, 2020Assignee: GROUPON, INC.Inventors: Shawn Ryan Jeffery, David Alan Johnston, Jonathan Esterhazy, Gaston L'Huillier, Hernan Enrique Arroyo Garcia
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Publication number: 20200027018Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.Type: ApplicationFiled: June 6, 2019Publication date: January 23, 2020Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Alan Johnston
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Publication number: 20200012963Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for curating a training data set to ensure that training data being updated continuously from a data reservoir of verified possible training examples remain an accurate, high-quality representation of the distribution of data that are being input to a predictive model for processing.Type: ApplicationFiled: May 21, 2019Publication date: January 9, 2020Inventors: David Alan Johnston, Shawn Ryan Jeffery, Vasileios Polychronopoulos
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Publication number: 20190378044Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.Type: ApplicationFiled: August 21, 2019Publication date: December 12, 2019Inventors: Shawn Ryan Jeffery, David Alan Johnston, Jonathan Esterhazy, Gaston L'Huillier, Hernan Enrique Arroyo Garcia
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Patent number: 10489800Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.Type: GrantFiled: August 25, 2017Date of Patent: November 26, 2019Assignee: GROUPON, INC.Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
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Publication number: 20190258954Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.Type: ApplicationFiled: February 19, 2019Publication date: August 22, 2019Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston