Nasr, Egypt

Lina Al Farouk


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Lina Al Farouk: Innovator in Expert Recommendation Systems

Introduction

Lina Al Farouk is a prominent inventor based in Nasr, Egypt. She has made significant contributions to the field of expert recommendation systems, showcasing her innovative spirit and technical expertise. With a focus on leveraging unstructured text data, her work aims to enhance communication and decision-making processes.

Latest Patents

Lina holds a patent titled "Expert recommendation leveraging topic clusters derived from unstructured text data." This invention involves an apparatus that includes a processing platform designed to implement an expert recommender engine. The engine receives information from a user device and identifies subject matter experts based on the received information and unstructured text data from a service events database. The system features a clustering module that organizes unstructured text data into topic clusters, which are then utilized by a collaborative filtering module to identify the appropriate subject matter expert. Additionally, the engine can incorporate structured data, social media data, and customer satisfaction survey data to enhance its recommendations.

Career Highlights

Lina is currently associated with Emc IP Holding Company LLC, where she continues to develop her innovative ideas and contribute to the advancement of technology. Her work has garnered attention for its practical applications in various industries, particularly in improving user experiences through expert recommendations.

Collaborations

Lina collaborates with talented individuals such as Amihai Savir and Eslam ElNakib, who share her passion for innovation and technology. Together, they work on projects that push the boundaries of what is possible in the realm of expert systems.

Conclusion

Lina Al Farouk is a trailblazer in the field of expert recommendation systems, with a patent that exemplifies her innovative approach to utilizing unstructured data. Her contributions are paving the way for more effective communication and expert identification in various sectors.

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