The rapid expansion of digital information has necessitated the development of sophisticated recommender systems, which are designed to mitigate information overload by tailoring content to individual ...

It was a gee-whiz innovation, a concept that would later help thousands of companies earn more money, but to John Riedl, it held a different kind of promise: Making people's lives a little better.

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 ...

With China’s new Internet recommender system regulations set to go into effect on March 1, 2022, U.S. companies that employ recommender and similar content decision algorithms in their apps and ...

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 ...

Robin Burke is very familiar with the original news recommender system. Before he was a respected expert in the recommender systems that are key to digital life—everything from suggesting the next ...

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]).