Tiktok has revealed greater insight into how its recommendation algorithm works in a new blog post. The algorithm uses a number of factors to base its suggestions of 15-second clips.

In many cases, sites like YouTube have robust user tracking that feeds into recommendation algorithms. Activity from a random user signed into the same network might not have much of an influence.

TikTok is taking new steps to demystify some aspects of its algorithm with a feature that will explain recommendations on its "For You" page, ...

Netflix’s recommendation algorithm is one of the most closely guarded secrets in Silicon Valley. It’s the series of numbers and variables that suggests what viewers should watch next, and behind ...

YouTube’s recommendations algorithm can lead you down some very weird rabbit holes, suggesting videos that feel weirdly personal and off-target at the same time. Today, Mozilla will introduce a ...

Gomez-Uribe said the new algorithms are so good at personalizing recommendations, they’ve established that there’s a global community of people who like to watch movies with talking horses that’s ...

AI-driven recommendation algorithms on streaming platforms often limit content diversity by continuously suggesting similar genres based on user history, potentially shaping viewers' tastes ...