Yang Wang

Title: Innovations of Yang Wang in Media Attribution

Introduction

Yang Wang is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of media attribution, particularly through his innovative patent. His work focuses on improving the accuracy and effectiveness of multi-channel media attribution systems.

Latest Patents

Yang Wang holds a patent titled "Determining algorithmic multi-channel media attribution based on discrete-time survival modeling." This patent describes a media attribution system that enhances multi-channel media attribution by utilizing discrete-time survival modeling. The system leverages event data, such as interactions and conversions, to create both positive and negative conversion paths. These paths are then used to train an algorithmic attribution model, which ultimately determines attribution scores for each interaction involved in the conversion paths. The attribution score reflects the influence of each interaction on the user's journey toward conversion.

Career Highlights

Yang Wang is currently employed at Adobe, Inc., where he applies his expertise in media attribution. His innovative approach has positioned him as a key player in the development of advanced media attribution systems. With a focus on algorithmic modeling, he continues to push the boundaries of what is possible in this field.

Collaborations

Yang has collaborated with notable colleagues, including Zhenyu Yan and Arava Sai Kumar. Their combined efforts contribute to the advancement of media attribution technologies and enhance the overall effectiveness of their projects.

Conclusion

Yang Wang's contributions to media attribution through his innovative patent demonstrate his expertise and commitment to advancing the field. His work at Adobe, Inc. and collaborations with talented colleagues further highlight his impact on the industry.