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Your Algorithm: Giving People More Ways to Personalize Facebook Recommendations

Our short summary of Meta’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on engineering.fb.com (opens in a new tab)

Problem

Users could not quickly tell Facebook what they wanted to see or avoid in their feed.

Solution

Created a system where people type preferences, LLMs store and track them, then retrieve matching posts via search, topic clusters, graph links, and re‑rank them for feed and reels.

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on engineering.fb.com (opens in a new tab)

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