Beijing, China

Tianjian He

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Inventor Spotlight: Tianjian He from Beijing, CN

Introduction

Tianjian He is an innovative inventor based in Beijing, China, known for his contributions to the field of recommendation systems. With a focus on enhancing the way conversations can influence recommendations, He has developed a unique approach that integrates conversational data into the recommendation process.

Latest Patents

Tianjian He holds a patent for a "Conversation-based recommending method, conversation-based recommending apparatus, and device." This patent introduces a method for obtaining a directed graph corresponding to a current conversation, which encompasses clicked items. In this directed graph, each node represents a clicked item, while directed edges indicate the relationships among these items. The method involves determining attention weights for each edge based on the feature vector of the node, enabling a nuanced understanding of the interaction data. By leveraging these insights, the system can recommend items based on the evolving context of the conversation.

Career Highlights

Tianjian He is currently employed at Beijing Baidu Netcom Science and Technology Co., Ltd., a leading technology company specializing in internet services and artificial intelligence. His work at Baidu focuses on refining recommendation algorithms to create more personalized user experiences.

Collaborations

Throughout his career, Tianjian He has collaborated with notable colleagues such as Yi Liu and Daxiang Dong. These partnerships reflect a dynamic team environment, fostering innovation and the exploration of advanced technologies within the realm of recommendation systems.

Conclusion

Tianjian He's contributions to the field of conversation-based recommendation methods demonstrate his commitment to advancing technology that enhances user experiences. With his innovative patent and impactful collaborations, He continues to play a significant role in the evolution of recommendation systems, making valuable strides in the tech industry.

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