Beijing, China

Hongbo Ling

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Innovative Contributions of Inventor Hongbo Ling

Introduction

Hongbo Ling is a prominent inventor based in Beijing, China, known for his significant contributions to the fields of data processing and user analysis. With two patents to his name, Ling's innovative methodologies are paving the way for advanced data mining techniques that enhance the understanding of user behavior and streamline data retrieval processes.

Latest Patents

Ling's latest patents include:

1. **Systems and methods for user analysis**: This patent introduces a method for user mining, which includes obtaining a variety of feature vectors from both positive and negative samples. It enables the identification of core features related to positive samples, utilizing a trained binary model to enhance user understanding.

2. **Systems and methods for data processing**: This patent describes a data querying method that establishes a relationship between characteristic values and feature dimensions among different entities. It effectively utilizes cache memory to optimize data retrieval, ensuring efficient search results are achieved in response to queries.

Career Highlights

Ling is affiliated with Beijing Didi Infinity Technology and Development Co., Ltd., where he actively contributes to the advancement of technology and innovation. His expertise in data processing and analysis is instrumental in driving the company’s objectives forward.

Collaborations

Throughout his career, Hongbo Ling has collaborated with talented coworkers such as Zang Li and Lifeng Cao. Together, they work in a dynamic environment that fosters innovation and the development of cutting-edge technologies.

Conclusion

Hongbo Ling's contributions to innovation in user analysis and data processing continue to influence the technological landscape in meaningful ways. As an inventor, his work exemplifies the importance of harnessing data-driven methodologies to solve complex challenges in today’s digital age, ultimately paving the way for future advancements in technology.

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