As repeatedly promised by Twitter CEO Elon Musk, Twitter has opened a portion of its source code to public inspection, including the algorithm it uses to recommend tweets in users' timelines. On ...

Disagreeing with this view, in a different take on recommendation algorithms, Clive Thompson (who also often writes for Wired) argues for “rewilding your attention”; he claims that acting out against ...

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 ...

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.

Most recommendation systems use a measure called cosine similarity, which seems to work well in practice. Last year, a team of researchers used a new theoretical framework to demonstrate why ...

To generate recommendations specific to you, the algorithm would first assign the other users similarity scores based on the degree to which their ratings overlap with yours.

The popular recommendation mechanism of Douyin is essentially a multi-level content filtering system, where the core is to assess content value and popularity through data metrics. 1. Traffic Pool ...

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

The prize will be awarded to the team that builds an algorithm that delivers a 10 percent or greater lift over existing product recommendations on Overstock.com. Nominations close on December 1 ...