Patents by Inventor Anand Joseph Bernard Selvaraj

Anand Joseph Bernard Selvaraj 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).

  • Artificial intelligence job recommendation neural network machine learning training based on embedding technologies and actual and synthetic job transition latent information
    Patent number: 11954590
    Abstract: An artificial intelligence (AI) job recommender system and methods implement neural network machine learning by generating and utilizing actual and synthetic training data to identify, learn, and apply latent job-to-job transition information and trends to improve job recommendations. The AI job recommender system and method represent technological advances that, for example, identify data representations, identify multiple instances of latent information in actual data, develop synthetic training data, create a directed graph from latent, directional information, embed the directed graph into a vector space, and apply machine learning algorithms to technologically advance and transform a machine into a specialized machine that learns and improves job recommendations across the vector space.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: April 9, 2024
    Assignee: Indeed, Inc.
    Inventors: Haiyan Luo, Shichuan Ma, Anand Joseph Bernard Selvaraj, Yu Sun
  • ARTIFICIAL INTELLIGENCE JOB RECOMMENDATION NEURAL NETWORK MACHINE LEARNING TRAINING BASED ON EMBEDDING TECHNOLOGIES AND ACTUAL AND SYNTHETIC JOB TRANSITION LATENT INFORMATION
    Publication number: 20210034975
    Abstract: An artificial intelligence (AI) job recommender system and methods implement neural network machine learning by generating and utilizing actual and synthetic training data to identify, learn, and apply latent job-to-job transition information and trends to improve job recommendations. The AI job recommender system and method represent technological advances that, for example, identify data representations, identify multiple instances of latent information in actual data, develop synthetic training data, create a directed graph from latent, directional information, embed the directed graph into a vector space, and apply machine learning algorithms to technologically advance and transform a machine into a specialized machine that learns and improves job recommendations across the vector space.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 4, 2021
    Applicant: INDEED, INC.
    Inventors: Haiyan Luo, Shichuan Ma, Anand Joseph Bernard Selvaraj, Yu Sun