Los Angeles, CA, United States of America

Xiangjun Fan

This inventor holds 1 USPTO granted patent. Top assignees: Beijing Bytedance Network Technology Co., Ltd., Bytedance Inc.. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Xiangjun Fan: Innovator in Item Coding Models

Introduction

Xiangjun Fan is a notable inventor based in Los Angeles, CA. He has made significant contributions to the field of item coding models, particularly through his innovative patent. His work focuses on enhancing item recommendation systems and retrieval efficiency.

Latest Patents

Xiangjun Fan holds a patent titled "Method and apparatus for training item coding model." This patent discloses a method and apparatus for training an item coding model. The method involves acquiring an initial item coding model and a training sample set. It utilizes sample user information from the training samples to obtain the probability of sample item coding information corresponding to the inputted sample user information. The structural parameters of the initial item coding model are adjusted to train the item coding model, which characterizes the correspondence between inputted sample user information and sample item coding information. This trained model can be used for item recommendation and enhances retrieval efficiency.

Career Highlights

Xiangjun Fan has worked with prominent companies in the tech industry, including Beijing Bytedance Network Technology Co., Ltd. and Bytedance Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in item coding.

Collaborations

Xiangjun has collaborated with talented individuals such as Weihao Gao and Jiankai Sun. These collaborations have likely enriched his work and led to advancements in the field of item coding models.

Conclusion

Xiangjun Fan is a distinguished inventor whose work in item coding models has the potential to transform item recommendation systems. His innovative approach and contributions to the field are commendable.

Profile summary based on public USPTO records.
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