When it comes to recommendation systems, everybody's looking to increase accuracy: the Netflix Prize was awarded last July for an algorithm that improved the accuracy of the service's ...

How Recommendation Algorithms Work—And Why They May Miss the Mark Huge data sets and matrices help online companies predict what you will click next By Manon Bischoff edited by Daisy Yuhas ...

The unveiling of the algorithm comes after an unknown user posted portions of Twitter's source code to GitHub.

Twitter recommendation algorithm source code has been posted to GitHub Elon Musk has shared the algorithm that Twitter uses to recommend tweets.

In a newly published preprint study, researchers propose a "fairer" product recommendation algorithm that's ostensibly less biased against certain shoppers.

To achieve the second objective, Netflix is continuously tweaking and experimenting with its recommendation algorithm, which is partially based on the company's rating system.

Twitter made its recommendation algorithm open source on Friday. Here is a look at how tweets appear on a user’s “For You” feed.

Recommendations we get from websites about what to buy are often powered by an algorithm known as collaborative filtering. We trace this technology back to one person trying to declutter his inbox.

How do you improve an algorithm? Algorithms are constantly tweaked and refined so businesses can better interpret the mountain of raw data used to help them sell to you and to sell you.

In a new experiment, Spotify will add the input of artists and labels to its personalized-recommendation algorithm.