Jieming Zhu

Title: Jieming Zhu: Innovator in Recommendation Systems

Introduction

Jieming Zhu is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of recommendation systems, showcasing his expertise through innovative patent applications. His work is particularly relevant in today's digital landscape, where personalized content delivery is crucial.

Latest Patents

Jieming Zhu holds a patent for a "Recommendation method and apparatus, training method and apparatus, device, and recommendation system." This patent describes various examples of recommendation methods and apparatus. In one example method, a plurality of images is obtained, where each image includes one candidate interface and one type of candidate content presented using the candidate interface. The method involves obtaining image feature data for each image and determining input for a prediction model based on user feature data of a target user and the image feature data. The degree of preference of the target user for each image is then predicted using the prediction model. Based on this degree of preference, at least one of the candidate interface or candidate content included in the plurality of images is selected. Recommendation is subsequently performed to the user based on the selected candidate content or candidate interface.

Career Highlights

Jieming Zhu is currently employed at Huawei Technologies Co., Limited, a leading global provider of information and communications technology (ICT) infrastructure and smart devices. His role at Huawei allows him to work on cutting-edge technologies and contribute to the company's innovative projects.

Collaborations

Jieming collaborates with talented individuals such as Zhou Zhao and Shengyu Zhang. These collaborations enhance the development of innovative solutions in the field of recommendation systems.

Conclusion

Jieming Zhu's contributions to recommendation systems through his patent and work at Huawei Technologies Co., Limited highlight his role as a key innovator in the technology sector. His efforts in developing advanced recommendation methods are paving the way for more personalized user experiences.