Pinterest calls the algorithm Pinnability and announced today in a post on its engineering blog that it was launched a few months ago.
The post is quite technical, going into deep detail about how Pinterest engineers are using state-of-the-art machine learning models to determine which Pins a user is most likely to interact with.
The upshot for marketers is that Pinterest’s home feeds are now being optimized for user engagement. Ranking by Pinnability is Pinterest’s effort to solve the noise-to-signal problem that all major social networks grapple with: how to make sure people aren’t overwhelmed by too much information.
Pinterest creates a personal relevance score for each Pin that is eligible to be included on a user’s home feed. That pool includes all Pins from pe…