Patents by Inventor Amit Nahata

Amit Nahata 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).

  • Context-enhanced category classification to generate product category labels used to conduct electronic transactions based on regulatory restrictions
    Patent number: 12248944
    Abstract: Systems/techniques for facilitating context-enhanced category classification are provided. In various embodiments, a system can access a first textual description of a product or service. In various aspects, the system can identify, via execution of named entity recognition, one or more keywords in the first textual description. In various instances, the system can access, from a set of queryable databases, one or more second textual descriptions that respectively correspond to the one or more keywords. In various cases, the system can generate, via execution of word embedding, a first numerical representation of the first textual description and one or more second numerical representations of the one or more second textual descriptions. In various aspects, the system can identify, via execution of a machine learning classifier, a category label for the product or service, based on the first numerical representation and the one or more second numerical representations.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: March 11, 2025
    Assignee: PayPal, Inc.
    Inventors: Van Hoang Nguyen, Francesco Gelli, Zhe Chen, Hewen Wang, Quan Jin Ferdinand Tang, Amit Nahata, Rushik Navinbhai Upadhyay
  • CONTEXT-ENHANCED CATEGORY CLASSIFICATION
    Publication number: 20230186319
    Abstract: Systems/techniques for facilitating context-enhanced category classification are provided. In various embodiments, a system can access a first textual description of a product or service. In various aspects, the system can identify, via execution of named entity recognition, one or more keywords in the first textual description. In various instances, the system can access, from a set of queryable databases, one or more second textual descriptions that respectively correspond to the one or more keywords. In various cases, the system can generate, via execution of word embedding, a first numerical representation of the first textual description and one or more second numerical representations of the one or more second textual descriptions. In various aspects, the system can identify, via execution of a machine learning classifier, a category label for the product or service, based on the first numerical representation and the one or more second numerical representations.
    Type: Application
    Filed: December 10, 2021
    Publication date: June 15, 2023
    Inventors: Van Hoang Nguyen, Francesco Gelli, Zhe Chen, Hewen Wang, Quan Jin Ferdinand Tang, Amit Nahata, Rushik Navinbhai Upadhyay