Twitter Ranking Tweets With Machine Learning

Machine learning is entering production at Twitter as a way of ranking tweets and boosting engagement. Twitter engineers this week unveiled the social media platform's ranking algorithm driven by deep neural networks. In a blog post, company engineers said their approach leverages an in-house artificial intelligence platform that includes new modeling capabilities. Among the results, wrote Nicolas Koumchatzky, a software engineer with Twitter's AI team called Cortex, are "more relevant timelines now, and in the future, as this opens the door for us to use more of the many novelties that the deep learning community has to offer, especially in the areas of [natural language processing], conversation understanding and media domains." Currently, Twitter (NYSE: TWTR) timelines are arranged chronologically based on a user's last visit.