San Jose, CA, United States of America

Djordje Gligorijevic

USPTO Granted Patents = 5 

Average Co-Inventor Count = 10.5

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):

Title: Innovator Spotlight: Djordje Gligorijevic

Introduction: Djordje Gligorijevic is a prominent inventor based in San Jose, California, recognized for his significant contributions to the field of auction technology. With a total of five patents to his name, his work focuses primarily on bid value determination, leveraging advanced machine learning techniques to enhance auction outcomes.

Latest Patents: Djordje's latest patents include innovative methods for bid value determination in auctions. His first patent outlines a system where shaded bid values can be calculated and submitted to various auction modules. This system utilizes a database to store vital auction information, such as minimum bid values and associated features. A machine learning model is trained using this data, enabling the determination of bid values that optimize participation in auctions. Another notable patent focuses on bid value determination specifically for first-price auctions, where it also incorporates machine learning to calculate win probabilities and expected bid surpluses based on multiple shaded bid values from the gathered auction data.

Career Highlights: Throughout his career, Djordje has worked with esteemed companies, including Yahoo Ad Tech LLC and Yahoo Assets LLC. His experience in these organizations has greatly informed his inventive pursuits, particularly in the domain of online auctions and advertising technology.

Collaborations: Djordje has collaborated with notable professionals in his field, including Shengjun Pan and Tian Zhou. These partnerships have fostered an environment of innovation, allowing for the exchange of ideas that contribute to the development of new technologies.

Conclusion: Djordje Gligorijevic stands out as a visionary inventor whose work in auction technology is paving the way for more efficient bidding processes. His contributions, founded on a combination of practical experience and cutting-edge machine learning methodologies, hold the potential to transform the landscape of online auctions and the broader advertising industry.

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