Jing Tian

Title: Jing Tian - Innovator in Multi-Dimensional Representations and Personalized Discovery

Introduction

Jing Tian is a notable inventor based in Redmond, WA (US). She has made significant contributions to the field of data processing and machine learning, holding 2 patents that showcase her innovative approach to complex entity representations and personalized content discovery.

Latest Patents

Jing Tian's latest patents include "Generating and presenting multi-dimensional representations for complex entities." This patent focuses on creating a complex entity index that combines atomic and deep learned attributes associated with instances of a complex entity. The systems described generate a multi-dimensional representation of entity instances based on the evaluation of digital content related to those entities. Furthermore, the patent illustrates how similarities among entity instances can be presented interactively, allowing users to explore similarities and differences within a multi-dimensional index space.

Another significant patent is "Contextualized novelty for personalized discovery." This invention involves a data processing system that obtains query parameters for content items in a datastore. It analyzes content items using machine learning models to identify relevant and novel content, ranking them based on a novelty score. This innovative approach enhances the user experience by providing personalized content recommendations.

Career Highlights

Jing Tian is currently employed at Microsoft Technology Licensing, LLC, where she applies her expertise in machine learning and data processing. Her work has contributed to advancements in how complex entities are represented and how personalized content is discovered.

Collaborations

Jing collaborates with talented individuals such as Leo Moreno Betthauser and Pramod Kumar Sharma, further enriching her innovative endeavors.

Conclusion

Jing Tian's contributions to the fields of data processing and machine learning are noteworthy. Her patents reflect a commitment to enhancing user experiences through innovative technologies. Her work continues to influence the way complex entities are understood and how personalized content is delivered.