Hod Hasharon, Israel

Danny Rosenstein

This inventor holds 1 USPTO granted patent. Top assignee: Outbrain Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Danny Rosenstein. Retrieved from https://idiyas.com/inventor/danny-rosenstein

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 13.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: The Innovations of Danny Rosenstein

Introduction

Danny Rosenstein is an accomplished inventor based in Hod Hasharon, Israel. He has made significant contributions to the field of content recommendation systems. His innovative approach focuses on optimizing revenue allocation for content consumption.

Latest Patents

Rosenstein holds a patent titled "User lifetime revenue allocation associated with provisioned content recommendations." This patent describes a personalized content recommendation provisioning method and system. It features a token value allocation engine that optimizes the allocation of content consumption revenue to publisher systems and recommendation source systems. The system is based on a model that calculates and applies a lifetime or long-term value (LTV) metric. The LTV metric for revenue is determined by detecting how often a user system engages with content derived from or associated with a publisher system. He has 1 patent to his name.

Career Highlights

Danny Rosenstein is currently employed at Outbrain Inc., a company known for its innovative content recommendation solutions. His work at Outbrain has allowed him to apply his expertise in developing advanced algorithms for content monetization.

Collaborations

Rosenstein has collaborated with notable colleagues, including Yaron Galai and Ido Tamir. Their combined efforts have contributed to the advancement of content recommendation technologies.

Conclusion

Danny Rosenstein's innovative work in content recommendation systems showcases his ability to enhance revenue allocation strategies. His contributions are paving the way for more effective content monetization in the digital landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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