A Unified View of Loss Functions in Learning to Rank


This paper provides a unified view of loss functions used in learning to rank. Loss function is a key component in learning to rank, because it encodes human knowledge on evaluation of ranking and guides the process of learning. Many loss functions have been proposed in the literature of learning to rank, with different forms and different motivations, and… (More)


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