Patents by Inventor Basim Partovi

Basim Partovi 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).

  • Scalable dynamic acronym decoder
    Patent number: 11727019
    Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.
    Type: Grant
    Filed: June 4, 2021
    Date of Patent: August 15, 2023
    Assignee: Capital One Services, LLC
    Inventors: Erik Silk, Basim Partovi, Ahmad Hassan Ibrahim
  • SCALABLE DYNAMIC ACRONYM DECODER
    Publication number: 20210294812
    Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.
    Type: Application
    Filed: June 4, 2021
    Publication date: September 23, 2021
    Applicant: Capital One Services, LLC
    Inventors: Erik SILK, Basim PARTOVI, Ahmad Hassan IBRAHIM
  • Scalable dynamic acronym decoder
    Patent number: 11055297
    Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: July 6, 2021
    Assignee: Capital One Services, LLC
    Inventors: Erik Silk, Basim Partovi, Ahmad Hassan Ibrahim
  • SCALABLE DYNAMIC ACRONYM DECODER
    Publication number: 20200110753
    Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.
    Type: Application
    Filed: May 20, 2019
    Publication date: April 9, 2020
    Applicant: Capital One Services, LLC
    Inventors: Erik SILK, Basim PARTOVI, Ahmad Hassan IBRAHIM
  • Scalable dynamic acronym decoder
    Patent number: 10339150
    Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.
    Type: Grant
    Filed: October 4, 2018
    Date of Patent: July 2, 2019
    Assignee: Capital One Services, LLC
    Inventors: Erik Silk, Basim Partovi, Ahmad Hassan Ibrahim