Snap’s recommendation platform
How Snap improves its engagement for its users?
Snap is currently standing tall amongst social media giants like Facebook. The company has won due to its customer centric product approach building their app coupled with an innovative recommendation platform.
Why?
Snap’s success rests on the linchpin that it can control the content supply for their customers by providing them with engaging content. User experience and managing how they can determine the next content to show the customer increases their usage.
Along with that, Snap’s algorithm pays attention to whether you have a preference for certain published stories, and then starts to prefer to show you those publishers.
Exactly what stories end up at the top of your newsfeed depends a lot on how you use Snapchat. It is personalized for every single user. With every event be it a swipe or a tap, the recommendation engine learns a little more. Snap then turns that data into something it can sell to people who make Snap stories, who want to make sure the effort they put into making stories turns into clicks.
How?
Snap leverages several machine learning techniques in its recommendation system, called the Discover Ranking System.
