Patents by Inventor Niranjan Mujumdar

Niranjan Mujumdar 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).

  • Computer Methods and Interfaces for Efficient Categorization of Voluminous Data
    Publication number: 20230154149
    Abstract: Computer-aided categorization or classification of numerous data records can be controlled and guided through a user interface that accepts user input to produce clustering training data, and that conveys the improved automatic classification results efficiently to the user. Features that facilitate working with thousands or millions of data records are described and claimed.
    Type: Application
    Filed: September 16, 2022
    Publication date: May 18, 2023
    Applicant: MAD STREET DEN, INC.
    Inventors: Anand CHANDRASEKARAN, Ramanathan L, Srinath K, Vishnu Deva KR, Sanaa SYED, Niranjan MUJUMDAR, Shivaraman SHANKAR, Athul S ATHREYA, Anuradha GOPAL, Chirag Umesh BAJAJ
  • Dynamically Personalized Product Recommendation Engine Using Stochastic and Adversarial Bandits
    Publication number: 20200234359
    Abstract: A method for recommending products to a user includes providing a user profile with product related data. At least one bandit is generated to model product related recommendations. The bandit model(s) are passed to a recommendation module that provides recommendations to the user based on the bandit model and expected payoff. User interactions in response to the recommendation can be evaluated to adjust further recommendations.
    Type: Application
    Filed: January 17, 2020
    Publication date: July 23, 2020
    Inventors: Annavajhala Satyadev Sarma, Janani Sriram, Anand Chandrasekaran, Niranjan Mujumdar
  • Ensemble Generation System for Retail Marketing
    Publication number: 20200034911
    Abstract: A method for presenting related products to a user includes providing product association data derived at least partially from at least one of traffic-based links and expert curated links. A product ensemble can be generated from the product association data. The generated product ensembles can be scored for compatibility and highly scored ensembles recommended to a user.
    Type: Application
    Filed: July 26, 2019
    Publication date: January 30, 2020
    Inventors: Janani Sriram, Simrat Hanspal, Sandhya Varatharajan, Niranjan Mujumdar, Anand Chandrasekaran