Patents by Inventor Himani Singh

Himani Singh 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).

  • Automated news ranking and recommendation system
    Patent number: 11922469
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Grant
    Filed: April 1, 2022
    Date of Patent: March 5, 2024
    Assignee: S&P Global Inc.
    Inventors: Lisa Kim, Zhiqiang Ma, Grace Bang, Chong Wang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • Subscription-enabled news recommendation system
    Patent number: 11430065
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: August 30, 2022
    Assignee: S&P Global Inc.
    Inventors: Himani Singh, Lisa Kim, Grace Bang, Chong Wang, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • AUTOMATED NEWS RANKING AND RECOMMENDATION SYSTEM
    Publication number: 20220230253
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Application
    Filed: April 1, 2022
    Publication date: July 21, 2022
    Inventors: Lisa Kim, Zhiqiang Ma, Grace Bang, Chong Wang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • Deep learning-based two-phase clustering algorithm
    Patent number: 11393036
    Abstract: A framework for an automated news recommendation system system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: July 19, 2022
    Assignee: S&P Global Inc.
    Inventors: Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • Automated news ranking and recommendation system
    Patent number: 11334949
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: May 17, 2022
    Assignee: S&P Global Inc.
    Inventors: Lisa Kim, Zhiqiang Ma, Grace Bang, Chong Wang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • AUTOMATED NEWS RANKING AND RECOMMENDATION SYSTEM
    Publication number: 20210109968
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Application
    Filed: January 31, 2020
    Publication date: April 15, 2021
    Inventors: Lisa Kim, Zhiqiang Ma, Grace Bang, Chong Wang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • SUBSCRIPTION-ENABLED NEWS RECOMMENDATION SYSTEM
    Publication number: 20210110475
    Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Application
    Filed: January 31, 2020
    Publication date: April 15, 2021
    Inventors: Himani Singh, Lisa Kim, Grace Bang, Chong Wang, Russell Kociuba, Steven Pomerville, Xiaomo Liu
  • DEEP LEARNING-BASED TWO-PHASE CLUSTERING ALGORITHM
    Publication number: 20210109954
    Abstract: A framework for an automated news recommendation system system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.
    Type: Application
    Filed: January 31, 2020
    Publication date: April 15, 2021
    Inventors: Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu