Company Filing History:
Years Active: 2018-2024
Title: Quanzhi Li: Innovator in Legal Research and Social Media Event Detection
Introduction
Quanzhi Li is a notable inventor based in Mountainside, NJ (US). He has made significant contributions to the fields of legal research and social media analytics. With a total of 3 patents, his work focuses on enhancing the efficiency and effectiveness of information retrieval systems.
Latest Patents
One of Quanzhi Li's latest patents is a legal research recommendation system. This innovative system assists users in discovering relevant information and documents based on their research focus or input text. The system intelligently receives identifications of relevant documents and recommends similar or helpful documents, which may be ranked and filtered for user convenience.
Another significant patent is related to event detection and clustering in social media. This method involves retrieving social media postings and determining their relevance to specific time periods. By clustering these postings, the system can provide users with a comprehensive representation of events, enhancing their understanding of social media dynamics.
Career Highlights
Quanzhi Li has worked with prominent companies such as Thomson Reuters Enterprise Centre GmbH and Thomson Reuters Global Resources Unlimited Company. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in legal research and social media technologies.
Collaborations
Quanzhi has collaborated with talented individuals, including Sameena Shah and Armineh Nourbakhsh. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Quanzhi Li's contributions to legal research and social media event detection demonstrate his commitment to innovation. His patents reflect a deep understanding of user needs and technological possibilities. Through his work, he continues to shape the future of information retrieval systems.