Tel Aviv, Israel

Yohay Kaplan

USPTO Granted Patents = 10 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Tel Aviv, IL (2021 - 2024)
  • Haifa, IL (2021 - 2024)

Company Filing History:


Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):

Title: Yohay Kaplan: Innovator in Content Recommendation Technologies

Introduction

Yohay Kaplan is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of content recommendation technologies, holding a total of 10 patents. His innovative work focuses on enhancing user experience through advanced predictive models.

Latest Patents

Kaplan's latest patents include groundbreaking methods for content recommendations based on historical future data. One of his patents describes a system that computes a model serving delay time, which is used to predict user content preferences. This model leverages historical user distribution data and content distribution data to generate tailored content recommendations for users. Another notable patent involves content recommendation based on continuity and grouping information of attributes. This method utilizes user interaction data to create a data structure that predicts whether a user will engage with specific content items, employing machine learning techniques for improved accuracy.

Career Highlights

Throughout his career, Yohay Kaplan has worked with notable companies such as Yahoo Assets LLC and Yahoo Ad Tech LLC. His experience in these organizations has allowed him to refine his skills in developing innovative technologies that enhance content delivery and user engagement.

Collaborations

Kaplan has collaborated with talented individuals in the industry, including Yair Koren and Alexander Shtof. These partnerships have contributed to the advancement of his projects and the successful implementation of his patented technologies.

Conclusion

Yohay Kaplan's work in content recommendation technologies showcases his innovative spirit and dedication to improving user experiences. His patents reflect a deep understanding of user behavior and the application of machine learning, positioning him as a key figure in the field.

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