Zhiwei Liu

Title: Zhiwei Liu: Innovator in Sequential Recommendation Systems

Introduction

Zhiwei Liu is a prominent inventor based in Chicago, IL (US). He has made significant contributions to the field of recommendation systems, particularly through his innovative patent. His work focuses on enhancing user experience by leveraging intent similarities among users with varying behavior sequences.

Latest Patents

Zhiwei Liu holds a patent titled "Systems and methods for sequential recommendation." This patent describes an intent prototypical contrastive learning framework that encodes user behavior sequences into multiple user interest representations. These representations are then clustered based on mutual distances in a representation space. The intention prototypes are determined from the centroids of these clusters, allowing for the creation of augmented views for user behavior sequences. A contrastive loss is calculated based on these views and intention prototypes, leading to updates in model parameters.

Career Highlights

Zhiwei Liu is currently employed at Salesforce, Inc., where he continues to develop innovative solutions in the realm of recommendation systems. His work is instrumental in improving how users interact with technology and receive personalized recommendations.

Collaborations

Zhiwei has collaborated with notable colleagues, including Yongjun Chen and Jia Li. Their combined expertise contributes to the advancement of technologies in their field.

Conclusion

Zhiwei Liu's contributions to sequential recommendation systems exemplify the impact of innovative thinking in technology. His patent and ongoing work at Salesforce, Inc. highlight his commitment to enhancing user experiences through advanced methodologies.