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.

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

Inspired by her passion for online shopping, Alexandra recognized in college that new machine learning and data-mining techniques could create more impactful and intuitive user experiences. After ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Recommender systems are increasingly influential, controlling what users ...

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]).