Jiliang Tang

Title: Jiliang Tang: Innovator in Content Recommendation Systems

Introduction

Jiliang Tang is a notable inventor based in San Jose, California. He has made significant contributions to the field of content recommendation systems, holding a total of four patents. His work focuses on enhancing user experience by providing tailored content recommendations based on user interests.

Latest Patents

One of Jiliang Tang's latest patents is a method and system for recommending content. This innovative approach involves analyzing streamed data to generate personalized recommendations for users. The process begins with receiving a request from a user for recommendations from a set of items. A first distribution is obtained, which indicates the user's interest across various topics. For each item, a second distribution is derived, reflecting the classification of the item concerning those topics. A score is then estimated based on both distributions, indicating the likelihood that the user will be interested in the item. The items are ranked according to their scores, and the recommendations are presented based on this ranking.

Career Highlights

Throughout his career, Jiliang Tang has worked with prominent companies such as Yahoo Assets LLC and Oath Inc. His experience in these organizations has allowed him to refine his skills in developing advanced recommendation systems.

Collaborations

Jiliang Tang has collaborated with notable professionals in his field, including Dawei Yin and Yi Chang. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Jiliang Tang is a distinguished inventor whose work in content recommendation systems has made a significant impact on how users interact with digital content. His innovative methods and systems continue to shape the future of personalized recommendations.