Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning

Unlike traditional learning to rank models that depend on hand-crafted features, neural representation learning models learn higher level features for the ranking task by training on large datasets. Their ability to learn new features directly from the data, however, may come at a price... (read more)

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