This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignees: Hewlett Packard Enterprise Development LP, Hewlett-Packard Development Company, L.p., Micro Focus Lcc. Active years: 2011-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Guangdong, CN (2016)
- Mountain View, CA (US) (2011 - 2021)
Company Filing History:



Years Active: 2011-2021
Title: Rong Pan: Innovator in Recommendation Systems
Introduction
Rong Pan is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of recommendation systems, holding a total of 5 patents. His work focuses on developing methods that enhance user experience through personalized recommendations.
Latest Patents
One of Rong Pan's latest patents is a system and method for making a recommendation based on user data. This invention describes a computer-implemented method for providing recommendations based on sparse patterns of data. The method involves determining the likelihood that an item, for which no user preference data is available, will be preferred. Additionally, it assesses the likelihood that an item, for which user preference data is available for other users, will be preferred. The method predicts that an item with no user preference data will be favored if the likelihood of preference exceeds a certain threshold.
Career Highlights
Rong Pan has worked with prominent companies such as Hewlett-Packard Development Company, L.P. and Hewlett Packard Enterprise Development LP. His experience in these organizations has allowed him to refine his skills in technology and innovation.
Collaborations
Throughout his career, Rong Pan has collaborated with notable professionals, including Martin B. Scholz and Rajan Mathew Lukose. These collaborations have contributed to the advancement of his projects and innovations.
Conclusion
Rong Pan is a distinguished inventor whose work in recommendation systems has made a significant impact in the field. His innovative approaches continue to shape how user data is utilized for personalized experiences.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile