Company Filing History:
Years Active: 2023
Title: Innovations by Hong Ji in Payment Application Technology
Introduction
Hong Ji is an accomplished inventor based in Dix Hills, NY (US). He has made significant contributions to the field of payment applications, particularly through his innovative patent that leverages machine learning to enhance the search capabilities for billers.
Latest Patents
Hong Ji holds a patent titled "System and method for searching billers with service area popularity model and machine learning." This patent encompasses various methods, apparatuses, systems, and media for implementing a payment application module designed for searching billers. The invention utilizes a multitude of data sources, including customer profile data, customer payment history data, biller information data, and biller directory data. A processor, which is operatively coupled to these data sources via a communication network, constructs a customer profile service area popularity model. This model is based on the aforementioned data and is capable of receiving search query data for biller searches. Furthermore, it builds a biller search machine learning model to optimize the weights applied to the search query data and ranks the search results using this model in response to the search query data.
Career Highlights
Hong Ji is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in payment technologies. His work focuses on enhancing the efficiency and effectiveness of payment applications, contributing to the bank's innovative solutions in financial services.
Collaborations
Hong Ji collaborates with talented colleagues, including Jiangling Wang and Song Ting Ceng. Their combined efforts in the field of payment technology foster a creative environment that drives innovation.
Conclusion
Hong Ji's contributions to payment application technology through his patent demonstrate his commitment to advancing the field. His work not only enhances user experience but also showcases the potential of machine learning in financial applications.