This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Keheng Zhang: Innovator in Candidate Ranking Systems
Introduction
Keheng Zhang is a notable inventor based in Belmont, California. He has made significant contributions to the field of data processing and candidate ranking systems. His innovative work has led to the development of a unique patent that enhances the way candidates are evaluated based on their activity levels.
Latest Patents
Keheng Zhang holds a patent titled "Ranking candidate search results by activeness." This patent describes a system that processes data to determine activity features for candidates matching specific search parameters. The system evaluates the interaction between candidates and moderators, as well as the frequency of visits to a platform. By applying a machine learning model to these activity features, the system generates activeness scores that rank candidates accordingly. This ranking is then output as a set of search results, providing a more effective way to assess candidates.
Career Highlights
Keheng Zhang is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in data processing and machine learning to develop innovative solutions that improve candidate evaluation processes. His work has been instrumental in advancing the technology used in recruitment and candidate management.
Collaborations
Keheng has collaborated with notable colleagues, including Baolu Shen and Kefang Ning. Their combined efforts have contributed to the success of various projects within their field.
Conclusion
Keheng Zhang's contributions to the field of candidate ranking systems demonstrate his innovative spirit and commitment to improving data processing technologies. His patent reflects a significant advancement in how candidates are evaluated, showcasing the potential of machine learning in recruitment.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
