Munich, Germany

Sebastian Johannes Blohm

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 45(Granted Patents)


Company Filing History:


Years Active: 2014-2025

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3 patents (USPTO):Explore Patents

Title: Sebastian Johannes Blohm: Innovator in Data Processing Technologies

Introduction

Sebastian Johannes Blohm is a notable inventor based in Munich, Germany. He has made significant contributions to the field of data processing, particularly in the area of user-centric topic recommendations. With a total of 3 patents to his name, Blohm's work reflects a deep understanding of machine learning and user interface design.

Latest Patents

Blohm's latest patents include innovative systems for contextual-based knowledge entity suggestions. This patent describes a data processing system that receives textual context and user indicators to generate relevant topic suggestions. The system utilizes a machine-learning model to encode and decode the context, ultimately providing users with recommended topics for tagging in user interfaces. Another significant patent focuses on user-centric topic suggestions, where the system responds to user inputs by providing a ranked set of topic recommendations based on relevance. This enhances the user experience by streamlining the tagging process in applications.

Career Highlights

Throughout his career, Blohm has worked with prominent companies such as Microsoft Technology Licensing, LLC and IBM. His experience in these organizations has allowed him to develop and refine his innovative ideas in data processing technologies.

Collaborations

Sebastian has collaborated with talented individuals in the field, including Vivian Yaw-Wen Chu and Ching-Tien Ho. These collaborations have contributed to the advancement of his projects and patents.

Conclusion

Sebastian Johannes Blohm is a distinguished inventor whose work in data processing technologies has led to valuable innovations. His patents demonstrate a commitment to enhancing user experience through intelligent topic recommendations.

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