# Bad Influence story: Meta explains how Your Algorithm uses LLMs to personalize Facebook recommendations

Active · 1 article · 1 source · First reported 11-10 12:00. Times are ET.
Story page: https://badinfluence.news/story/ce08b3a4-656a-48db-9741-2b28063875f7

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[Bad Influence external source material begins]
Latest update (11-10 12:00): Meta explains how Your Algorithm turns stated preferences into Facebook recommendations

Overview: Meta says Your Algorithm lets users describe their interests in their own words and applies those preferences to recommendations in Facebook Feed and Reels. In an engineering post, Meta says LLMs build each user's initial profile, validate edits to it, and check final recommendations against the topics a user marks as Not Interested. Meta says it is sharing how natural language preferences become recommendations and how LLMs are tailored to specific tasks within the system. The post reports no performance results.

Coverage timeline (newest first):
1. 11-10 12:00 · Engineering at Meta (from the company) · [Meta explains how Your Algorithm turns stated preferences into Facebook recommendations](https://badinfluence.news/items/giwe70sfrs4yf53yul7u1uc82)
[Bad Influence external source material ends]

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