Hod HaSharon, Israel

Eyal Itah

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2023.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Eyal Itah: Innovator in Recommendation Technologies

Introduction

Eyal Itah is a notable inventor based in Hod HaSharon, Israel. He has made significant contributions to the field of technology, particularly in the area of generating recommendation results through verbal queries. His innovative approach has the potential to enhance user experience in various applications.

Latest Patents

Eyal Itah holds 1 patent for his invention titled "Generation of recommendation results using a verbal query." This patent outlines technologies that facilitate the generation of recommendation results based on verbal input. The process involves creating query data that corresponds to the verbal query, determining product identifiers from multiple data repositories, and applying a filtering model to generate ranked product identifiers. The final output is a recommendation result that aligns with the user's verbal query.

Career Highlights

Eyal Itah is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in technology. His work focuses on enhancing the efficiency and accuracy of recommendation systems, which are crucial for improving customer satisfaction and engagement.

Collaborations

Eyal has collaborated with notable colleagues such as Leon Portman and Liane Lewin-Eytan. These partnerships have contributed to the advancement of his projects and the overall success of the initiatives at Amazon Technologies, Inc.

Conclusion

Eyal Itah's contributions to the field of recommendation technologies demonstrate his innovative spirit and commitment to enhancing user experiences. His work continues to influence the way technology interacts with verbal queries, paving the way for future advancements in this area.

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