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Combining the score of different recommendation components numerically.
*Switching: Choosing among recommendation components and applying the selected one.
*Mixed: Recommendations from different recommenders are presented together to give the recommendation.
*Cascade: Recommenders are given strict priority, with the lower priority ones breaking ties in the scoring of the higher ones.
*Meta-level: One recommendation technique is applied and produces some sort of model, which is then the input used

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