Seattle, WA, United States of America

Ning Li


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Ning Li - Innovator in Touchpoint Attribution Technology

Introduction

Ning Li is a prominent inventor based in Seattle, WA (US), known for his contributions to the field of digital content campaigns. With a total of 2 patents, he has made significant strides in utilizing advanced neural network technologies to enhance marketing strategies.

Latest Patents

Ning Li's latest patents focus on identifying touchpoint contributions through a touchpoint attribution attention neural network. The first patent describes systems and methods for generating and utilizing this neural network to measure the performance of touchpoints in digital content campaigns. The deep learning attribution system trains the network using touchpoint sequences, which include user interactions across various digital media channels. This system not only determines touchpoint attributions but also generates conversion predictions for target sequences, allowing for the delivery of targeted digital content to individual users. The second patent further elaborates on utilizing the touchpoint attribution attention neural network to identify significant touchpoints and measure their contributions in multichannel, multi-touch digital content campaigns.

Career Highlights

Ning Li is currently employed at Adobe, Inc., where he applies his expertise in machine learning and digital marketing. His work has been instrumental in developing innovative solutions that enhance the effectiveness of digital marketing strategies.

Collaborations

Ning has collaborated with notable colleagues, including Zhenyu Yan and Fnu Arava Venkata Kesava Sai Kumar, who contribute to the dynamic environment of innovation at Adobe.

Conclusion

Ning Li's work in touchpoint attribution technology exemplifies the intersection of innovation and digital marketing. His patents reflect a commitment to advancing the understanding of user interactions in digital campaigns, ultimately leading to more effective marketing strategies.

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