Jianzhao Huang

Title: Jianzhao Huang: Innovator in Adaptive Data Scoring

Introduction

Jianzhao Huang is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of data analysis and scoring through his innovative methods. His work focuses on enhancing the efficiency and accuracy of search results using advanced analytical techniques.

Latest Patents

Jianzhao Huang holds a patent for "Adaptive data scoring using multi-metric interaction analysis." This method involves obtaining a multitude of search results and corresponding similarity scores in response to user queries. It further processes a multi-metric analytic function to derive a composite score for the search results. The method selects a subset of search results based on a composite score threshold, ultimately generating a prompt for a large language model (LLM) that includes the user query and the selected data sources. This innovative approach aims to improve the relevance and quality of search results.

Career Highlights

Jianzhao Huang is currently employed at Intuit, Inc., where he applies his expertise in data analysis and scoring. His work at Intuit has allowed him to contribute to the development of tools and technologies that enhance user experience and data processing capabilities.

Collaborations

Throughout his career, Jianzhao has collaborated with notable colleagues, including John Patrick Symborski and Siddharth Jain. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Jianzhao Huang's contributions to adaptive data scoring exemplify the impact of innovative thinking in technology. His patent and work at Intuit, Inc. highlight his commitment to improving data analysis methods. His efforts continue to shape the future of search result optimization and user experience.