Meta has published a deep dive into the company’s social media algorithms in a bid to demystify how content is recommended for Instagram and Facebook users.
Each of these cards provides detailed, yet approachable information about how the AI systems behind these features rank and recommend content.
For example, the overview into Instagram Explore explains the three-step process behind the automated AI recommendation engine.
Gather Inventory: the system gathers public Instagram content like photos and reels that abides by the company’s quality and integrity rules.
Instagram is also testing a new Reels feature that will allow users to mark recommended reels as “Interested” to see similar content in the future.
In addition, the company has been experimenting with a new Recommending Reel feature that lets you mark reel recommendations as being interested.
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