Los Angeles, CA, United States of America

Kian Ghodoussi


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kian Ghodoussi: Innovator in Machine Learning and Semantic Search

Introduction

Kian Ghodoussi is an accomplished inventor based in Los Angeles, California. He has made significant contributions to the field of machine learning, particularly in the area of semantic search for electronic documents. His innovative approach leverages advanced statistical models to enhance the efficiency and accuracy of information retrieval.

Latest Patents

Kian Ghodoussi holds a patent for a method titled "Topic-based semantic search of electronic documents based on machine learning models from Bayesian Belief networks." This patent describes a computer-implemented method that involves generating and storing a machine learning statistical topic model. The model is designed to analyze call transcript data and categorize it based on various topics. The process includes pre-seeding the model with keyword groups, training it with both labeled and unlabeled data, and utilizing a classifier to determine the thematic content of search queries. This innovative method ultimately improves the retrieval of relevant information from electronic documents.

Career Highlights

Kian Ghodoussi is currently employed at Invoca, Inc., where he applies his expertise in machine learning and semantic search. His work focuses on developing advanced technologies that enhance customer engagement and improve the overall user experience. His contributions to the field have positioned him as a notable figure in the tech industry.

Collaborations

Kian has collaborated with several talented individuals, including Michael Kingsley McCourt, Jr. and Victor Jara Borda. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Kian Ghodoussi is a pioneering inventor whose work in machine learning and semantic search is shaping the future of information retrieval. His innovative patent and contributions to Invoca, Inc. highlight his commitment to advancing technology in meaningful ways.

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