Company Filing History:
Years Active: 2024
Title: Ranjitha Kumar: Innovator in Multi-Modal Item Recommendations
Introduction
Ranjitha Kumar is a prominent inventor based in Urbana, IL (US). She has made significant contributions to the field of search engine technology, particularly in the area of multi-modal item recommendations. Her innovative approach utilizes neural networks to enhance user experience in search engines.
Latest Patents
Ranjitha Kumar holds a patent for her invention titled "Search engine use of neural network regressor for multi-modal item recommendations based on visual semantic embeddings." This patent describes a search engine server that processes multi-modal queries, including images, to identify and recommend similar items. The technology involves executing a neural network regressor model to analyze images and generate structured text that explains the relevance of the recommended items.
Career Highlights
Ranjitha Kumar is affiliated with the University of Illinois, where she continues to advance her research and development in innovative technologies. Her work has garnered attention for its potential applications in various industries, particularly in enhancing e-commerce and online search functionalities.
Collaborations
Ranjitha has collaborated with notable colleagues, including David Alexander Forsyth and Krishna Dusad. These partnerships have contributed to her research and the development of her patented technologies.
Conclusion
Ranjitha Kumar is a trailblazer in the field of search engine technology, with her innovative patent showcasing the power of neural networks in item recommendations. Her contributions continue to shape the future of how users interact with search engines and discover products.