Yaakov Tayeb

Title: Innovations of Yaakov Tayeb

Introduction

Yaakov Tayeb is an accomplished inventor based in Tzur Hadassa, Israel. He holds a total of six patents, showcasing his expertise in developing innovative solutions. His work primarily focuses on data processing and machine learning applications.

Latest Patents

One of his latest patents is the "Influencer Segmentation Detector." This method implements influencer segmentation detection by selecting transaction data for a specific time window and processing it to generate a graph. The method further extracts a feature set for a node of the graph and processes it to predict a rank for the node in a subsequent time window using a machine learning model. Another significant patent is the "Automated Categorization of Data by Generating Unity and Reliability Metrics." This patent outlines techniques for generating metrics by receiving rules that define text strings and determining sets of transactions based on user attributes. It calculates unity metrics and reliability metrics for the defined rules.

Career Highlights

Yaakov has worked with notable companies such as Intuit, Inc. and Synamedia Limited. His experience in these organizations has contributed to his development as an inventor and innovator in the field of data processing.

Collaborations

Throughout his career, Yaakov has collaborated with talented individuals, including Hadar Lackritz and Noah Eyal Altman. These collaborations have likely enriched his work and contributed to his innovative projects.

Conclusion

Yaakov Tayeb is a prominent inventor whose contributions to technology and data processing are noteworthy. His patents reflect his commitment to innovation and the advancement of machine learning applications.