Apple's App Store launches Personalized Collections using download history and interests to recommend apps beyond generic ...

Recommender systems are machine learning applications in online platforms that automate tasks historically done by people. In the news industry, recommender algorithms can assume the tasks of editors ...

Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

"If you randomly follow the algorithm, you probably would consume less radical content using YouTube as you typically do!" So says Manoel Ribeiro, co-author of a new paper on YouTube's recommendation ...

Nearly a year after Elon Musk first floated the idea of making Twitter's recommendation algorithm public, the company has posted the source code for its recommendation algorithm on GitHub. In a ...

Social media platforms increasingly rely on algorithmic systems to curate and recommend content, shaping what users see and how they interact online. These systems analyse vast amounts of behavioural ...

One of the many promises Elon Musk made after taking over Twitter was that he would open source Twitter’s algorithm, something that the social media company notoriously kept private before his tenure.

The Justice Department reached a proposed agreement with landlord LivCor to resolve claims that it illegally coordinated rent prices with other landlords using algorithmic recommendations from ...

Meme creators and others who don't make "material" edits could get their reach throttled by Meta.