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Pairwise ranking is a method used in machine learning to compare individual pairs of items and determine their relative order. It is commonly used in fields like information retrieval and recommendation systems to rank items based on user preferences or relevance. Pairwise ranking algorithms aim to learn a ranking model that can predict the preference order between items.

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