Dive Brief:

• Pinterest revealed insight via its engineering blog last week into its evolving "Pinnability" algorithm. 
• Engineers at Pinterest are utilizing machine learning models to deliver the Pins it determines are most relevant to users. 
• The algorithm assigns a personal relevance score to each Pin eligible to appear on a user's feed—a mix of Pins from users they follow and "Picked for You" Pins. 

Dive Insight: 

Pinterest faces the problem of how to deliver relevant content amid an overwhelming amount of Pins. The site hopes the algorithm will serve a dual purpose: delivering a better user experience and offering better targeting for advertisers.