This inventor holds 1 USPTO granted patent. Top assignee: Snap Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Hao-Ming Fu: Innovator in Recommendation Systems
Introduction
Hao-Ming Fu is a notable inventor based in New York, NY (US). He has made significant contributions to the field of recommendation systems through his innovative patent. His work focuses on enhancing user-item interaction in bipartite graphs, which is crucial for improving recommendation algorithms.
Latest Patents
Hao-Ming Fu holds a patent titled "Neighborhood-based link prediction for recommendation systems." This patent describes a recommendation system that implements a linkage score learning algorithm for user-item interaction bipartite graphs. The algorithm combines a lightweight iterative degree update process in the bipartite graph, allowing for the exploitation of local graph structures without the need for node modeling. The predicted linkage score between users and items is calculated based on a sum of sub-scores from 3-step linkage paths. This innovative approach addresses the challenge of link prediction by identifying new links that do not exist in the training data.
Career Highlights
Hao-Ming Fu is currently employed at Snap Inc., where he continues to develop and refine his ideas in the realm of recommendation systems. His work is instrumental in enhancing the user experience through improved recommendation algorithms.
Collaborations
Hao-Ming Fu collaborates with talented individuals such as Patrick Poirson and Kwot Sin Lee. Their combined expertise contributes to the advancement of innovative solutions in their field.
Conclusion
Hao-Ming Fu's contributions to recommendation systems through his patent demonstrate his commitment to innovation and improvement in technology. His work continues to influence the way users interact with recommendation systems, paving the way for future advancements.