Yuwei Wang

Title: Yuwei Wang: Innovator in Merchant Recommendation Systems

Introduction

Yuwei Wang is a prominent inventor based in San Francisco, CA, known for his contributions to the field of recommendation systems. With a focus on enhancing merchant recommendations through advanced technologies, Wang has secured 2 patents that showcase his innovative approach.

Latest Patents

Wang's latest patents include groundbreaking methods for unsupervised embeddings disentanglement using a generative adversarial network (GAN) for merchant recommendations. The first patent describes a system that receives raw merchant and user embeddings generated from payment transaction records. It involves training a GAN to produce modified merchant embeddings that exclude location features. This process allows for generating a list of merchant rankings tailored to the target user's preferences and location. The second patent outlines a similar method, emphasizing the GAN's role in removing the effects of identified features from raw merchant embeddings. This results in modified embeddings that align with other features, ultimately providing a list of merchant rankings to users based on their past preferences and current location.

Career Highlights

Yuwei Wang is currently employed at Visa International Service Association, where he applies his expertise in developing innovative solutions for merchant recommendations. His work significantly contributes to enhancing user experiences in financial transactions and recommendations.

Collaborations

Wang collaborates with talented colleagues, including Yan Zheng and Wei Zhang, who contribute to the development of advanced technologies in the field.

Conclusion

Yuwei Wang's innovative work in merchant recommendation systems exemplifies the impact of technology on enhancing user experiences. His patents reflect a commitment to advancing the field through cutting-edge methodologies.