New research shows that understanding users' intentions—rather than simply increasing data volume—can improve the suggestions generated by YouTube's "black box" algorithms.

When opening a short video information app and swiping across the screen, users expect to find content that is 'just what they want to see' — but the reality is often different: during commutes, users ...

The TikTok algorithm Trump deal puts Oracle in charge of managing app data, raising questions about users, creators & global ...

Switch on your streaming service of choice or open the website for your preferred department store and a recommendation system is sure to kick in. “You liked this TV series, so we think you’ll like ...

Algorithmic recommendation systems on social media sites like YouTube, Facebook and Twitter have shouldered much of the blame for the spread of misinformation, propaganda, hate speech, conspiracy ...

TikTok and YouTube algorithms turned Tyler Robinson from curious student into Charlie Kirk's assassin through ...

Your recommended content is about to get a whole lot better. The company is introducing a new feature to improve its suggestions algorithm by rolling out Like and Dislike buttons, a feature Netflix ...

Why would a recommendation engine not suggest computer science classes to a female college student interested in that field of study? According to Bert Huang, assistant professor of computer science ...

Yang Xiaomie's Rapid Purchase has recently released version 9.0, leveraging a comprehensive data platform and dynamic ...