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ALGORITHM-AWARENESS5 MIN READ

Trace the recommender loop

Explain the basic recommendation loop from user signals through feedback.

Trace how a feed turns behavior into the next ranked list. The Recommender Loop Signals clicks, saves, skips, context, item features input Candidate generation find a small set from a huge collection retrieve Scoring predict relevance, interest, or engagement rank Re-ranking apply freshness, diversity, safety, fairness adjust Feedback your next behavior updates the loop learn Observed behavior and item data

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