Haifa, Israel

Nadav Golbandi

This inventor holds 24 USPTO granted patents, primarily in Content Recommendation Systems. Top assignees: Yahoo! Inc., Oath Inc., Excalibur IP, LLC. Active years: 2011-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nadav Golbandi. Retrieved from https://idiyas.com/inventor/nadav-golbandi

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


% Patents Active = 70.8

Average Co-Inventor Count = 3.0

ph-index = 6

Forward Citations = 470(Granted Patents)


Location History:

  • Karkur, IL (2011 - 2014)
  • Haifa, IS (2015)
  • Pardes Hanna Karkur, IL (2016)
  • Halfa, IL (2018)
  • Haifa, IL (2012 - 2021)
  • Sunnyvale, CA (US) (2019 - 2022)
  • New York, NY (US) (2020 - 2023)

Company Filing History:


Years Active: 2011-2023

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Areas of Expertise:
Content Recommendation
Image-Based Systems
Personalization
Collaborative Filtering
Emotion Detection
Travel Itineraries
Tag Extraction
Fault-Tolerant Algorithms
Multi-User Devices
Online Content
Feature Extraction
24 patents (USPTO):Explore Patents

Title: Insights into Innovator Nadav Golbandi

Introduction

Nadav Golbandi, based in Haifa, Israel, stands as a prominent inventor with an impressive portfolio of 24 patents to his name. His innovative contributions primarily focus on advancements in content presentation and online recommendation systems, showcasing his expertise in the intersection of technology and user experience.

Latest Patents

Among his latest patents, Golbandi has developed a groundbreaking method titled "Generic Card Feature Extraction Based on Card Rendering as an Image." This invention involves techniques for enhancing the presentation of content items by utilizing image features derived from digital images that represent these items. By determining image features and combining them with user and contextual features, the system effectively improves how content is delivered to client devices over a network.

Another significant patent is related to "Systems and Methods for Online Content Recommendation." This patent describes computer systems designed for real-time online content recommendations. The system intelligently updates a training database based on user interactions, conducts regression training on a computer learning model, and utilizes trained parameters to recommend relevant content to users efficiently.

Career Highlights

Golbandi has made notable strides in his career by working with leading tech companies such as Yahoo! Inc. and Oath Inc. His work in innovative technology development has placed him at the forefront of advancements in both content presentation and recommendation systems.

Collaborations

Throughout his career, Golbandi has collaborated with talented peers, including Ronny Lempel and Oren Shlomo Somekh. These collaborations have undoubtedly contributed to his inventive success and the ongoing evolution of his projects in the tech space.

Conclusion

Nadav Golbandi's commitment to innovation is evident through his extensive patent portfolio and industry contributions. His pioneering work in content feature extraction and recommendation systems continues to shape how digital content is presented and consumed, marking him as a notable figure in the landscape of technology innovation.

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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