MQ2007

Introduced by Qin et al. in Introducing LETOR 4.0 Datasets

The MQ2007 dataset consists of queries, corresponding retrieved documents and labels provided by human experts. The possible relevance labels for each document are “relevant”, “partially relevant”, and “not relevant”.

Source: ARSM GRADIENT ESTIMATOR FOR SUPERVISED LEARNING TO RANK

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