Patents by Inventor Travis R. McLAREN
Travis R. McLAREN 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: 11637928Abstract: A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.Type: GrantFiled: October 25, 2021Date of Patent: April 25, 2023Assignee: Verizon Patent and Licensing Inc.Inventors: Farid Khafizov, Vittal N. Gunturu, Travis R. McLaren, Wade W. Hiney, Aleksandr Iakubovich
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Patent number: 11605022Abstract: A device may receive, from a customer platform, customer event data identifying events occurring between customers and an entity, and may receive, from the customer platform, customer action data generated by machine learning models and identifying customer actions to be taken by the customer platform in response to the occurrence of the events. The device may receive, from the customer platform, customer results data identifying results of the customer actions taken by the customer platform, and may calculate current key performance indicators based on the customer event data, the customer action data, and the customer results data. The device may retrain one or more of the machine learning models based on the current key performance indicators to generate one or more retrained machine learning models, and may provide the one or more retrained machine learning models to the customer platform.Type: GrantFiled: October 21, 2019Date of Patent: March 14, 2023Assignee: Verizon Patent and Licensing Inc.Inventors: Vinod Khanna Saini Ganesh, Travis R. McLaren, Sailesh K. Mishra, Rajat Sharma, Pavani Kamalapuram, Pritam Bedse, Senthil Muthusamy, Rishi Kanth Chitti, John Russo, Srinivasan Krishnamurthy, Khagender Arrekuti
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Patent number: 11272058Abstract: A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.Type: GrantFiled: July 27, 2020Date of Patent: March 8, 2022Assignee: Verizon Patent and Licensing Inc.Inventors: Farid Khafizov, Vittal N. Gunturu, Travis R. McLaren, Wade W. Hiney, Aleksandr Iakubovich
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Publication number: 20220046131Abstract: A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.Type: ApplicationFiled: October 25, 2021Publication date: February 10, 2022Inventors: Farid Khafizov, Vittal N. Gunturu, Travis R. McLaren, Wade W. Hiney, Aleksandr Iakubovich
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Publication number: 20220030110Abstract: A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.Type: ApplicationFiled: July 27, 2020Publication date: January 27, 2022Inventors: Farid Khafizov, Vittal N. Gunturu, Travis R. McLaren, Wade W. Hiney, Aleksandr Iakubovich
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Patent number: 11140266Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.Type: GrantFiled: August 8, 2019Date of Patent: October 5, 2021Assignee: Verizon Patent and Licensing Inc.Inventors: Farid Khafizov, Vittal N. Gunturu, Charles A. Liscomb, Travis R. McLaren, Wade W. Hiney
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Patent number: 10999433Abstract: A platform can receive information regarding a user interaction, wherein the user interaction is associated with one or more channels that correspond to respective interfaces or media for the user interaction; retrieve supplemental information associated with the user interaction, wherein the supplemental information relates to at least one of: a state of a managed device associated with the user interaction, or a previous user interaction; identify, based on the information regarding the user interaction or the one or more channels, one or more models to process the information regarding the user interaction and the supplemental information, wherein the one or more models are identified from a plurality of models; determine, using the one or more models, an action to be performed with regard to the user interaction; and provide information identifying the action.Type: GrantFiled: November 30, 2018Date of Patent: May 4, 2021Assignee: Verizon Patent and Licensing Inc.Inventors: Safwan Aly, Srinivasan Krishnamurthy, Pritam Bedse, Vipul Jha, Rajat Sharma, Senthil Muthusamy, Travis R. McLaren, Richard J. Worthington, Sailesh K. Mishra, Philip A. Jenkins, Venkateswararao Godavarti Veera, John Benjamin Lertola
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Publication number: 20210117852Abstract: A device may receive, from a customer platform, customer event data identifying events occurring between customers and an entity, and may receive, from the customer platform, customer action data generated by machine learning models and identifying customer actions to be taken by the customer platform in response to the occurrence of the events. The device may receive, from the customer platform, customer results data identifying results of the customer actions taken by the customer platform, and may calculate current key performance indicators based on the customer event data, the customer action data, and the customer results data. The device may retrain one or more of the machine learning models based on the current key performance indicators to generate one or more retrained machine learning models, and may provide the one or more retrained machine learning models to the customer platform.Type: ApplicationFiled: October 21, 2019Publication date: April 22, 2021Inventors: Vinod Khanna Saini GANESH, Travis R. McLAREN, Sailesh K. MISHRA, Rajat SHARMA, Pavini KAMALAPURAM, Pritam BEDSE, Senthil MUTHUSAMY, Rishi Kanth CHITTI, John RUSSO, Srinivasan KRISHNAMURTHY, Khagender ARREKUTI
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Publication number: 20210044697Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.Type: ApplicationFiled: August 8, 2019Publication date: February 11, 2021Inventors: Farid Khafizov, Vittal N. Gunturu, Charles A. Liscomb, Travis R. McLaren, Wade W. Hiney
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Publication number: 20200177731Abstract: A platform can receive information regarding a user interaction, wherein the user interaction is associated with one or more channels that correspond to respective interfaces or media for the user interaction; retrieve supplemental information associated with the user interaction, wherein the supplemental information relates to at least one of: a state of a managed device associated with the user interaction, or a previous user interaction; identify, based on the information regarding the user interaction or the one or more channels, one or more models to process the information regarding the user interaction and the supplemental information, wherein the one or more models are identified from a plurality of models; determine, using the one or more models, an action to be performed with regard to the user interaction; and provide information identifying the action.Type: ApplicationFiled: November 30, 2018Publication date: June 4, 2020Inventors: Safwan ALY, Srinivasan KRISHNAMURTHY, Pritam BEDSE, Vipul JHA, Rajat SHARMA, Senthil MUTHUSAMY, Travis R. McLAREN, Richard J. WORTHINGTON, Sailesh K. MISHRA, Philip A. JENKINS, Venkateswararao Godavarti VEERA, John Benjamin LERTOLA