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 ...

Recently, Xiamen Chengxu Technology Co., Ltd. announced that it has obtained a patent titled "A Method and System for User Interest Recommendation Based on Artificial Intelligence," with authorization ...

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 ...

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 ...

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

A new study showed a widely used recommendation algorithm is more likely to pick music by male than female artists. Fixing that is easy.

Recommendation software can make the problem worse. Suggestion algorithms can exploit what customers are known to like by pushing similar fare, or they can encourage them to explore things they ...

In new documentation available in Facebook’s Help Center and Instagram’s Help Center, the company details how Facebook and Instagram’s algorithms work to filter out content, accounts, Pages ...