This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Hangzhou Dianzi University, Hdu Binjiang Research Institute Co., Ltd.. Active years: 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: 2026
Title: The Innovative Mind of Dongjing Wang
Introduction
Dongjing Wang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of recommendation systems, particularly through his innovative patent. His work focuses on understanding and modeling user interests, which is crucial for enhancing user experience in various applications.
Latest Patents
Dongjing Wang holds a patent titled "Sequence recommendation method based on extracting and modeling of complex multi-mode user interests." This patent outlines a sophisticated method for obtaining long-term and short-term embedding sequences. It involves updating these sequences to derive dynamic and static user interests through weighted calculations. The process culminates in a recommendation score for each item, which is calculated by fusing the user's interests with the embedding of each item.
Career Highlights
Throughout his career, Dongjing Wang has been associated with notable institutions such as Hangzhou Dianzi University and Hdu Binjiang Research Institute Co., Ltd. His work in these organizations has allowed him to explore and develop advanced methodologies in user interest modeling.
Collaborations
Dongjing Wang has collaborated with talented individuals in his field, including Xin Zhang and Dongjin Yu. These collaborations have contributed to the advancement of his research and the successful implementation of his innovative ideas.
Conclusion
Dongjing Wang's contributions to the field of recommendation systems through his patent and collaborative efforts highlight his innovative spirit and dedication to advancing technology. His work continues to influence the way user interests are understood and modeled in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile