This inventor holds 1 USPTO granted patent and 12 published patent applications. Top assignees: Hangzhou Dianzi University, Hangzhou Dianzi University Binjiang Institute Co., Ltd.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
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1 out of 1 Years Active: 2025
Title: Innovations of Dong Jing Wang in Point-of-Interest Recommendation
Introduction: Dong Jing Wang is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of recommendation systems, particularly through his innovative patent related to point-of-interest recommendations. His work focuses on utilizing temporal knowledge graphs to enhance user experience in navigating and discovering points of interest.
Latest Patents: One of Dong Jing Wang's key patents is titled "Point-of-interest recommendation method based on temporal knowledge graph." This patent discloses a method that constructs a dynamic temporal knowledge graph and a static group knowledge graph based on the historical behavior trajectory of users and multimodal information. The method aims to learn user interest preferences that evolve over time, as well as stable features that remain constant. By employing deep learning techniques, the patent outlines a model that accurately predicts the points of interest most likely to be visited by users at any given moment. This innovation is characterized by high precision and strong scalability, providing valuable support for personalized user behavior trajectory prediction.
Career Highlights: Dong Jing Wang has worked with reputable institutions, including Hangzhou Dianzi University and its Binjiang Institute. His experience in these organizations has allowed him to further develop his expertise in the field of recommendation systems and artificial intelligence.
Collaborations: Throughout his career, Dong Jing Wang has collaborated with talented individuals such as Xiao Xiao Sun and Dong Jin Yu. These collaborations have contributed to the advancement of his research and innovations.
Conclusion: Dong Jing Wang's contributions to point-of-interest recommendation systems demonstrate his commitment to enhancing user experiences through innovative technologies. His work continues to influence the field and pave the way for future advancements in personalized recommendations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile