Patents by Inventor Anupam Shringi

Anupam Shringi 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).

  • Target identification using big data and machine learning
    Patent number: 11042909
    Abstract: A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.
    Type: Grant
    Filed: July 26, 2018
    Date of Patent: June 22, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Abhinav Vij, Gaurav Goyal, Prithika Priyanshi, Anupam Shringi, Chinmay Jha, Saurabh Aggarwal, Abhishek Sunnak, Vijay Saini, Aashish Kumar, Shivam Singh Baghel, Rashmi Aggarwal
  • TARGET IDENTIFICATION USING BIG DATA AND MACHINE LEARNING
    Publication number: 20190244253
    Abstract: A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.
    Type: Application
    Filed: July 26, 2018
    Publication date: August 8, 2019
    Inventors: Abhinav Vij, Gaurav Goyal, Prithika Priyanshi, Anupam Shringi, Chinmay Jha, Saurabh Aggarwal, Abhishek Sunnak, Vijay Saini, Aashish Kumar, Shivam Singh Baghel, Rashmi Aggarwal