Yongjun Chen

Title: Innovations by Yongjun Chen

Introduction

Yongjun Chen is an accomplished inventor based in Palo Alto, CA. He has made significant contributions to the field of recommendation systems, holding 4 patents that showcase his innovative approaches to user behavior analysis and dynamic attribute modeling.

Latest Patents

One of his latest patents is titled "Systems and methods for sequential recommendation." This invention provides an intent prototypical contrastive learning framework that leverages intent similarities between users with different behavior sequences. User behavior sequences are encoded into a plurality of user interest representations, which are then clustered based on mutual distances in a representation space. Intention prototypes are determined based on the centroids of these clusters, and a set of augmented views for user behavior sequences is created. The model parameters are updated based on a contrastive loss determined from these augmented views and intention prototypes.

Another notable patent is "Systems and methods for next basket recommendation with dynamic attributes modeling." This invention introduces an attentive network framework that models dynamic attributes through item and feature interactions. The framework encodes basket item sequences and dynamic attribute sequences with time-aware padding to capture seasonal patterns. Time-level attention modules are applied to these sequences to identify temporal sequential patterns, and an intra-basket attentive module captures correlation information among items within each basket.

Career Highlights

Yongjun Chen has worked with prominent companies such as Salesforce.com, Inc. and Salesforce, Inc. His experience in these organizations has allowed him to refine his skills in developing advanced recommendation systems.

Collaborations

Throughout his career, Yongjun has collaborated with notable individuals, including Jia Li and Chenxi Li. These collaborations have contributed to the advancement of his innovative projects.

Conclusion

Yongjun Chen's work in the field of recommendation systems demonstrates his commitment to innovation and excellence. His patents reflect a deep understanding of user behavior and dynamic attributes, positioning him as a key figure in this area of technology.