➤ How do recommendation systems use user-generated content to personalize suggestions?
Systems convert actions and text into structured signals. They use ratings and viewing logs for collaborative filtering, extract keywords from reviews for content-based methods, and combine those in hybrid models. The system weights signals by recency, frequency, and trust to produce ranked, personalized suggestions for each user.
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