Yifei Huang

Title: Yifei Huang: Innovator in Content Selection and Distribution

Introduction

Yifei Huang is a notable inventor based in Belmont, CA, who has made significant contributions to the fields of content selection and distribution through his innovative patents. With a total of 2 patents, Huang's work focuses on enhancing user interaction with content in online systems.

Latest Patents

Huang's latest patents include "Deep Semantic Content Selection" and "Neural Network Based Content Distribution in an Online System." The first patent describes a method for selecting content to present to users by determining latent vectors for content items based on associated objects. This process involves calculating a user vector based on user interactions, ultimately scoring the likelihood of user engagement with specific content items. The second patent outlines a system where an online platform receives content from third-party providers, processes images through a neural network to extract feature vectors, and compares these vectors with user feature vectors to select relevant content for users.

Career Highlights

Throughout his career, Yifei Huang has worked with prominent companies such as Meta Platforms, Inc. and Facebook, Inc. His experience in these leading tech firms has allowed him to develop and refine his innovative ideas in content management and distribution.

Collaborations

Huang has collaborated with talented individuals in the industry, including Tianshi Gao and Ou Jin. Their collective expertise has contributed to the advancement of Huang's projects and patents.

Conclusion

Yifei Huang's contributions to content selection and distribution demonstrate his innovative spirit and commitment to enhancing user experiences in digital environments. His patents reflect a deep understanding of technology and user interaction, positioning him as a key figure in the field.