Song Lin

Title: The Innovative Contributions of Song Lin

Introduction

Song Lin is a notable inventor based in Santa Clara, CA, who has made significant contributions to the field of machine learning. With a total of 3 patents to his name, Lin's work focuses on developing techniques that enhance the predictive capabilities of online services.

Latest Patents

One of Lin's latest patents involves machine learning techniques to identify predictive features and predictive values for each feature. This patent outlines methods for training a model based on data that reflects user interactions with an online service. The model generates a dependency graph and a histogram for usage-based features, allowing for optimized value selection. This process enables the identification of users and their usage levels, facilitating informed decisions about data presentation to users.

Another significant patent by Lin is centered on inferring attributes of organizations using a member graph. This invention involves obtaining a member profile from a social networking service and calculating metrics based on usage information. By extracting features from the member profile, Lin's method generates a confidence score for an organization name, enhancing the accuracy of organizational identification.

Career Highlights

Song Lin is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work is characterized by a strong focus on applying machine learning to real-world problems, particularly in the realm of online services.

Collaborations

Lin has collaborated with notable colleagues, including Songtao Guo and Ke Wang, who share his passion for technological innovation and development.

Conclusion

In summary, Song Lin's contributions to machine learning and predictive analytics have positioned him as a key figure in the field. His patents reflect a commitment to enhancing user experiences through innovative technology.