Learning to rank[1] or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems.[2] Training data may, for example, consist of lists of items with some partial order specified between items in each list. This order is typically induced by giving a nu
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