Orlando, FL, United States of America

Michelle Bentubo

USPTO Granted Patents = 12 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2013-2023

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12 patents (USPTO):Explore Patents

Title: Michelle Bentubo: Innovator in Computer Generated Recommendations

Introduction

Michelle Bentubo is a prominent inventor based in Orlando, FL (US), known for her innovative contributions to the field of computer-generated recommendations. With a total of 12 patents to her name, she has made significant strides in enhancing the accuracy and relevance of recommendation systems.

Latest Patents

Among her latest patents is a groundbreaking system and method for computer-generated recommendations with improved accuracy and relevance. The disclosed embodiments relate to a computer-implemented recommender system that enables the computer to provide more emotionally relevant and connected recommendations. This approach minimizes dependency on historical data and reduces susceptibility to bias, such as monetary or sponsor-based influences. The system segments a target set of known users into groups based on similar characteristics and associates each group with unique sets of affinities derived from social media interactions. By comparing these unique sets of affinities with the characteristics associated with recommendations, the system derives a subset relevant to the users of each particular group.

Career Highlights

Throughout her career, Michelle has worked with notable companies, including Bank of America Corporation and Disney Enterprises, Inc. Her experience in these organizations has contributed to her expertise in developing advanced recommendation systems.

Collaborations

Michelle has collaborated with talented individuals such as Christian Mande and Mark Williamson, further enhancing her innovative projects and contributions to the field.

Conclusion

Michelle Bentubo's work in computer-generated recommendations showcases her dedication to innovation and her ability to create systems that improve user experience. Her contributions are paving the way for more effective and emotionally connected recommendation systems in the future.

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