Kaikai Ge

Title: Kaikai Ge: Innovator in Artificial Intelligence

Introduction

Kaikai Ge is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence through his innovative patents. With a total of 4 patents, Ge is recognized for his work that enhances content recommendation systems and social network analysis.

Latest Patents

One of Kaikai Ge's latest patents is a "Content recommendation method and apparatus, device, and storage medium." This application discloses a method performed at a computer device that aims to improve the accuracy of content recommendations. The method involves acquiring a target user vector, determining seed user vectors, and calculating similarities using a look-alike model based on an attention mechanism. This innovation addresses the problem of low accuracy in traditional recommendation methods.

Another notable patent is the "Method and device for determining social rank of a node in a social network." This method determines the social rank of a user based on the connection structure of relationship chains within a social network. By analyzing these connections, the method provides insights into the social standing of users, which can be valuable for various applications in social media and networking.

Career Highlights

Kaikai Ge is currently employed at Tencent Technology (Shenzhen) Company Limited, a leading technology firm in China. His work at Tencent has allowed him to collaborate with other talented individuals in the field, further advancing his research and innovations.

Collaborations

Some of his notable coworkers include Xu Zhang and Leyu Lin, who contribute to the dynamic environment at Tencent. Their collaboration fosters a culture of innovation and creativity, leading to groundbreaking advancements in technology.

Conclusion

Kaikai Ge's contributions to artificial intelligence through his patents demonstrate his commitment to enhancing technology and improving user experiences. His work continues to influence the fields of content recommendation and social network analysis, marking him as a significant figure in the tech industry.