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

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 ...

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 ...

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]).