Recommender systems are used in e-commerce to guide consumers with messages like "People who purchased this item also purchased ..." Past research has shown that these systems affect consumers' ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published official guidance about what it is and what they feel publishers should know ...

One of the most thought-provoking presentations at TechSEO Boost was the keynote by Dr. Ricardo Baeza-Yates, the CTO of NTENT. It was entitled, “Biases in Search and Recommender Systems.” Spoiler ...

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]).

These days, when it comes to capturing and holding an audience’s attention you must deliver the most relevant content possible. Whether searching for jobs or something more important, like looking at ...

Recommendation systems first came to prominence through Amazon (NASDAQ:AMZN) suggesting what people might like based purchase history. That then expanded to more stores and to streaming services. Now ...

We engage with automation and machine learning every day in ways we may not realize. Consider the most common online habits: browsing social media, shopping on Amazon or binge-watching on Netflix.

Everyday decisions, from which products to buy, movies to watch and restaurants to try, are more and more being put in the hands of a new source: recommendation systems. Recommendation systems are ...