Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...

Editor’s Note: The SCM thesis Reducing Oil Well Downtime with a Machine Learning Recommender System was authored by Jesús Madrid and Andrew Min and supervised by Dr. Cansu Tayaksi ([email protected]).

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Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Michael Ekstrand, PhD is an assistant professor in the College of Computing & Informatics' Information Science Department since 2023. His work blends information retrieval, human-computer interaction, ...

Researchers examined the role and economic impacts of recommender systems, and how they affect consumers' decisions. As you scroll through Amazon looking for the perfect product, or flip through ...