Jian Li

Title: Innovations by Jian Li in Machine Learning for Search and Recommendations

Introduction

Jian Li is an accomplished inventor based in Santa Clara, CA, known for his innovative contributions to machine learning technologies. He has developed a patent that enhances search and recommendation systems, showcasing his expertise in the field.

Latest Patents

Jian Li holds a patent for "Machine learned models for search and recommendations." This invention involves a system that generates prompts based on search queries from customer client devices. The prompts instruct a machine learned model to provide item predictions. The model is trained by converting structured data from an online catalog into annotated text data, generating training examples, and training the model using these examples. The system processes item predictions to identify recommended items, providing relevant information to the customer client device.

Career Highlights

Jian Li is currently employed at Maplebear Inc., where he applies his skills in machine learning to develop advanced search and recommendation systems. His work significantly contributes to improving user experience and efficiency in online shopping.

Collaborations

Some of Jian Li's notable coworkers include Haixun Wang and Taesik Na, who collaborate with him on various projects at Maplebear Inc.

Conclusion

Jian Li's innovative work in machine learning for search and recommendations exemplifies the impact of technology on enhancing user experiences. His contributions continue to shape the future of online interactions and recommendations.