This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Mohit Rajkumar Kothari: Innovator in Transfer Model Learning
Introduction
Mohit Rajkumar Kothari is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of relevance models through his innovative patent. His work focuses on enhancing member relevance prediction systems, which are crucial for online services.
Latest Patents
Kothari holds a patent titled "Transfer model learning for relevance models." This patent describes systems and techniques for transfer model learning aimed at improving relevance models. The system is designed to collect a first data set of member interactions on a first platform and train a first model using this data. Additionally, it collects a second data set from interactions on a second platform and predicts a third data set related to member interactions. The aggregated data from all three sets is then used to train a second model for the second platform, allowing for more accurate predictions of online service items for members.
Career Highlights
Mohit Rajkumar Kothari is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in model learning to enhance the relevance of online services. His innovative approach has positioned him as a key player in the development of advanced prediction systems.
Collaborations
Kothari has collaborated with notable colleagues, including Manas Haribhai Somaiya and Ian Ackerman. These collaborations have contributed to the advancement of his research and the successful implementation of his patented technologies.
Conclusion
In summary, Mohit Rajkumar Kothari is a distinguished inventor whose work in transfer model learning has the potential to significantly impact online service relevance. His contributions to the field are marked by his innovative patent and collaborative efforts with esteemed colleagues.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
