Xiaobo Hao

Title: Innovations by Xiaobo Hao in Content Recommendation Technologies

Introduction

Xiaobo Hao is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence, particularly in content recommendation methods. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of recommendation systems.

Latest Patents

Xiaobo Hao's latest patents include a "Content recommendation method and apparatus, device, and storage medium." This application discloses a method performed at a computer device that involves acquiring a target user vector and determining groups of seed user vectors. The method utilizes a look-alike model to calculate similarities, ultimately improving the accuracy of recommendations. Another notable patent is the "Data recommendation method and apparatus, computer device, and storage medium." This method involves obtaining a service object set associated with a target user and performing cross-field cross-encoding to enhance the recommendation process.

Career Highlights

Xiaobo Hao is currently employed at Tencent Technology (Shenzhen) Company Limited, where he continues to innovate in the realm of data recommendation technologies. His work is instrumental in developing systems that provide personalized content to users, thereby improving user experience and engagement.

Collaborations

Some of Xiaobo Hao's coworkers include Yudan Liu and Kaikai Ge, who collaborate with him on various projects within Tencent Technology.

Conclusion

Xiaobo Hao's contributions to content recommendation technologies reflect his expertise and commitment to advancing artificial intelligence. His innovative patents are paving the way for more accurate and efficient recommendation systems in the digital landscape.