Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Perhaps the greatest challenge of the algorithm revolution is that as machines and the algorithms that drive them have become ever-more complex, we are rapidly losing our ability to understand how ...

As society attempts to solve more and more problems computationally, the need for efficient algorithms to solve these problems continues to grow. Just as importantly, to be able to apply or adapt ...

When we go online these days, we know we’re not alone: The internet is looking back at us. Our clicks give us the information and products we ask for, but at the same time they provide information ...

These important questions are often covered here on Search Engine Journal in very useful articles. But it’s important to not just understand what tactics might be working to help you rank. You need to ...

But the real question is: connected to what? Parker Woodroof, Ph.D., a social media expert and associate professor of marketing at the Collat School of Business at the University of Alabama at ...

This all sounds ludicrous until we realize that our algorithms are increasingly being made in our own image. As we’ve learned more about our own brains, we’ve enlisted that knowledge to create ...

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

Hyperspectral data comprises the full light spectrum; this dataset of continuous spectral information has many applications from understanding the health of the Great Barrier Reef to picking out more ...