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The final stage of a recommendation system, during which scored items may be re-graded according to some other (typically, non-ML) algorithm. Re-ranking evaluates the list of items generated by the scoring phase, taking actions such as:
Eliminating items that the user has already purchased.
Boosting the score of fresher items.
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