Company Filing History:
Years Active: 2018-2022
Title: Shunping Huang: Innovator in Data Processing and Recommendation Systems
Introduction
Shunping Huang is a notable inventor based in Cary, NC (US), recognized for his contributions to the fields of data processing and recommendation systems. With a total of two patents to his name, Huang has made significant strides in enhancing the efficiency and effectiveness of data handling in modern technology.
Latest Patents
Huang's latest patents include a sophisticated recommendation system and a method for data processing with streaming data. The recommendation system involves a computing device that determines recommendations by updating a first parameter matrix and a second parameter matrix through iterative processes until they meet a convergence test. This innovative approach addresses the challenges of missing data in ratings matrices, making it a valuable tool for user-based recommendations. His second patent focuses on a data streaming environment that summarizes streaming data from sensors or input devices, particularly Internet of Things (IoT) devices. This system processes incoming data to provide a limited-size summary, ensuring that outdated information is effectively managed while presenting the processed data visually through data graphs.
Career Highlights
Huang is currently employed at SAS Institute Inc., a leading analytics software company. His work at SAS Institute has allowed him to apply his inventive ideas in real-world applications, contributing to the company's reputation for innovation in data analytics.
Collaborations
Some of Huang's notable coworkers include Markel Sanz Ausin and Gerald Donald Baulier, who have collaborated with him on various projects within the company.
Conclusion
Shunping Huang's innovative patents in recommendation systems and data processing highlight his significant contributions to technology. His work continues to influence the way data is managed and utilized in various applications, showcasing the importance of innovation in today's digital landscape.
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