Patents by Inventor Andrew Tjang

Andrew Tjang 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).

  • MULTI-SEGMENT TEXT SEARCH USING MACHINE LEARNING MODEL FOR TEXT SIMILARITY
    Publication number: 20230394863
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Application
    Filed: June 5, 2023
    Publication date: December 7, 2023
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • Multi-segment text search using machine learning model for text similarity
    Patent number: 11670103
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: June 6, 2023
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • MULTI-SEGMENT TEXT SEARCH USING MACHINE LEARNING MODEL FOR TEXT SIMILARITY
    Publication number: 20220245959
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Application
    Filed: April 18, 2022
    Publication date: August 4, 2022
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • Multi-segment text search using machine learning model for text similarity
    Patent number: 11308320
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: April 19, 2022
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • MULTI-SEGMENT TEXT SEARCH USING MACHINE LEARNING MODEL FOR TEXT SIMILARITY
    Publication number: 20200193153
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Application
    Filed: December 17, 2019
    Publication date: June 18, 2020
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti