Guven Burc Arpat

Title: Guven Burc Arpat: Innovator in Machine Learning Technologies

Introduction

Guven Burc Arpat is a prominent inventor based in Los Altos, CA. He has made significant contributions to the field of machine learning, holding a total of 5 patents. His work focuses on enhancing the capabilities of machine learning models through innovative systems and methods.

Latest Patents

Among his latest patents is a system designed to de-duplicate features for machine learning models. This invention involves systems, methods, and non-transitory computer-readable media that determine a feature set for a model to be trained by machine learning. A subset of features can be associated with entities having relationship types corresponding to pages on a social networking system. The feature set can be reduced based on at least one rule applied to the relationship types. Another notable patent addresses sentiment polarity for users of a social networking system. This system infers a user's sentiment polarity toward content based on interactions with the page, such as likes or reports. It analyzes topics extracted from text on the page to determine whether the sentiment is positive or negative. The system can also identify trusted users with strong sentiment polarities, using their data as training material for machine learning models.

Career Highlights

Guven Burc Arpat is currently employed at Facebook, Inc., where he continues to develop innovative solutions in the realm of machine learning. His expertise and contributions have positioned him as a key figure in advancing technology within the company.

Collaborations

He has collaborated with notable colleagues, including Saiyad Shah and Srikant Ramakrishna Ayyar, to further enhance the impact of his inventions.

Conclusion

Guven Burc Arpat's work in machine learning exemplifies the innovative spirit of modern technology. His patents reflect a deep understanding of user interaction and data analysis, paving the way for future advancements in the field.