Patents by Inventor Kirnesh Nandan

Kirnesh Nandan 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).

  • Recommendation system based on individualized privacy settings
    Patent number: 10817618
    Abstract: In implementations of a recommendation system based on individualized privacy settings, a computing device maintains user profiles of information and recommendations associated with users of the recommendation system. The computing device includes a recommendation module that is implemented to receive a privacy level selection for a type of items corresponding to a user profile in the system. The recommendation module can determine a privacy setting for a user associated with the user profile, where the privacy setting is individualized for the user in context of the type of items with an algorithmic noise function utilized to obfuscate a proportional level of the information associated with the user and the type of items based on the received privacy level selection. The recommendation module can also generate recommendations of relevant items for the user based on the determined privacy setting as individualized for the user in context of the type of items.
    Type: Grant
    Filed: July 20, 2018
    Date of Patent: October 27, 2020
    Assignee: Adobe Inc.
    Inventors: Ankur Garg, Kritin Kesav Sai Sathi, Kirnesh Nandan, Iftikhar Ahamath Burhanuddin, Aditya Prakash
  • Recommendation System Based on Individualized Privacy Settings
    Publication number: 20200026876
    Abstract: In implementations of a recommendation system based on individualized privacy settings, a computing device maintains user profiles of information and recommendations associated with users of the recommendation system. The computing device includes a recommendation module that is implemented to receive a privacy level selection for a type of items corresponding to a user profile in the system. The recommendation module can determine a privacy setting for a user associated with the user profile, where the privacy setting is individualized for the user in context of the type of items with an algorithmic noise function utilized to obfuscate a proportional level of the information associated with the user and the type of items based on the received privacy level selection. The recommendation module can also generate recommendations of relevant items for the user based on the determined privacy setting as individualized for the user in context of the type of items.
    Type: Application
    Filed: July 20, 2018
    Publication date: January 23, 2020
    Applicant: Adobe Inc.
    Inventors: Ankur Garg, Kritin Kesav Sai Sathi, Kirnesh Nandan, Iftikhar Ahamath Burhanuddin, Aditya Prakash