Patents by Inventor Soumyajyoti Banerjee

Soumyajyoti Banerjee 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: 11709895
    Abstract: Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: July 25, 2023
    Assignee: Visa International Service Association
    Inventors: Pranjal Singh, Soumyajyoti Banerjee
  • Publication number: 20220050879
    Abstract: Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.
    Type: Application
    Filed: October 29, 2021
    Publication date: February 17, 2022
    Inventors: Pranjal Singh, Soumyajyoti Banerjee
  • Patent number: 11194865
    Abstract: Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: December 7, 2021
    Assignee: Visa International Service Association
    Inventors: Pranjal Singh, Soumyajyoti Banerjee
  • Publication number: 20200286094
    Abstract: Disclosed is a method for determining a street address based on transaction data. The method may include receiving transaction data associated with a payment transaction, determining street address data from the transaction data, tokenizing the street address data into a plurality of street address tokens, extracting street address token features for each street address token using a machine learning algorithm, tagging each of the street address tokens using the machine learning algorithm based on the street address token features to provide a plurality of tagged street address components, determining whether each of the tagged street address components correspond to a predetermined street address, and communicating a payment transaction fraud parameter. A system and a computer program product are also provided.
    Type: Application
    Filed: May 7, 2019
    Publication date: September 10, 2020
    Inventors: Animesh Mishra, Soumyajyoti Banerjee
  • Publication number: 20180308003
    Abstract: Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.
    Type: Application
    Filed: April 21, 2017
    Publication date: October 25, 2018
    Inventors: Pranjal Singh, Soumyajyoti Banerjee