Patents by Inventor Pamela KATALI

Pamela KATALI 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).

  • Patent number: 11863502
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Grant
    Filed: February 7, 2023
    Date of Patent: January 2, 2024
    Assignee: Capital One Services, LLC
    Inventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
  • Publication number: 20230412532
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Application
    Filed: September 1, 2023
    Publication date: December 21, 2023
    Applicant: Capital One Services, LLC
    Inventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
  • Publication number: 20230188483
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Application
    Filed: February 7, 2023
    Publication date: June 15, 2023
    Applicant: Capital One Services, LLC
    Inventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
  • Patent number: 11616741
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Grant
    Filed: May 6, 2022
    Date of Patent: March 28, 2023
    Assignee: Capital One Services, LLC
    Inventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
  • Publication number: 20220263778
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Application
    Filed: May 6, 2022
    Publication date: August 18, 2022
    Applicant: Capital One Services, LLC
    Inventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
  • Patent number: 11356389
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: June 7, 2022
    Assignee: Capital One Services, LLC
    Inventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
  • Publication number: 20210399999
    Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
    Type: Application
    Filed: June 22, 2020
    Publication date: December 23, 2021
    Applicant: Capital One Services, LLC
    Inventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO