Emine Yilmaz

Title: Emine Yilmaz: Innovator in Neural Network Technologies

Introduction

Emine Yilmaz is a prominent inventor based in Cambridge, GB. She has made significant contributions to the field of information retrieval and machine learning. With a total of 2 patents, her work focuses on enhancing search capabilities through innovative neural network mechanisms.

Latest Patents

One of her latest patents is titled "Neural network for search retrieval and ranking." This invention describes a mechanism for utilizing a neural network to identify and rank search results. A machine learning model is trained by converting training data comprising query-document entries into query term-document entries. The trained model calculates document ranking scores for the query terms, which are stored in a pre-calculated term-document index. This allows for deep learning search capabilities in computationally limited environments.

Another notable patent is "Measuring duplication in search results." This invention measures duplication between a pair of results provided by an information retrieval system in response to a query. By accessing history data and query data, the system determines a measure of duplication between results, which can be used to control the display of results accordingly.

Career Highlights

Emine Yilmaz currently works at Microsoft Technology Licensing, LLC, where she continues to innovate in the field of technology. Her work has been instrumental in advancing the capabilities of information retrieval systems.

Collaborations

She collaborates with notable colleagues, including Filip Andrzej Radlinski and Paul Nathan Bennett, contributing to a dynamic and innovative work environment.

Conclusion

Emine Yilmaz is a trailblazer in the realm of neural networks and information retrieval, with her patents paving the way for future advancements in search technologies. Her contributions are invaluable to the field and continue to influence the development of machine learning applications.