A computer can better process it to issue recommendations. Artificial intelligence models are increasingly used to process these data. Self-learning algorithms train to recognize patterns in the ...

Having only been implemented in 2016, we still have a rudimentary of how YouTube’s machine learning algorithm works. We know video recommendations are influenced by factors such as clicks ...

These algorithms can influence us, even if we’re not aware of it. As the New York Times’ Rabbit Hole podcast explores, YouTube’s recommendation ... that a machine learning algorithm might ...

In this scenario, it’s the user who’s been trained by the algorithm—not the other way around. The user acquiesces to being a shell of his or her “dominant interests,” concerned about the consequences ...

Although the problem of gender discrimination is already found in the music industry, music recommendation algorithms would be increasing the gender gap. Andrés Ferraro and Xavier Serra, researchers ...

Chaslot said the platform’s complex “machine learning” system ... Publicly, executives have said that the recommendations algorithm drives over 70 percent of content watched on YouTube ...

Twitter has published two separate GitHub repositories containing the source code for its recommendation algorithm and some of the machine learning (ML) models powering it. Most of the ...