Samaneh Abbasi Moghaddam

Title: Samaneh Abbasi Moghaddam: Innovator in Machine Learning and Content Relevance

Introduction

Samaneh Abbasi Moghaddam is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning, particularly in the area of content relevance and response prediction. With a total of 10 patents to his name, Moghaddam's work has had a substantial impact on how content is delivered and personalized.

Latest Patents

One of Moghaddam's latest patents is titled "Embedded learning for response prediction in content item relevance." This patent outlines techniques for utilizing machine learning to learn embeddings for content items. The process involves training data to learn embeddings for various attribute values of multiple content items and entities. It also includes identifying a content item based on targeting criteria that align with a content request. The selection of the content item is based on sets of embeddings and contextual feature values. Another notable patent is "Mining textual feedback," which describes methods for accessing feedback items, identifying candidate feedback items using lexical patterns, and generating a gist phrase to summarize the feedback. This innovation enhances user interaction by displaying a user interface that includes the summarized feedback.

Career Highlights

Moghaddam has worked with several notable companies, including Microsoft Technology Licensing, LLC and eBay, Incorporated. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in technology and machine learning.

Collaborations

Some of Moghaddam's coworkers include SeyedMohsen Jamali and Marco Pennacchiotti. Their collaboration has likely fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Samaneh Abbasi Moghaddam is a distinguished inventor whose work in machine learning and content relevance continues to shape the industry. His patents reflect a deep understanding of technology and user experience, making him a valuable contributor to the field.