Context-Aware Learning to Rank with Self-Attention

1 code implementation • 20 May 2020 • Przemysław Pobrotyn, Tomasz Bartczak, Mikołaj Synowiec, Radosław Białobrzeski, Jarosław Bojar

In learning to rank, one is interested in optimising the global ordering of a list of items according to their utility for users. Popular approaches learn a scoring function that scores items individually (i. e. without the context of other items in the list) by optimising a pointwise, pairwise or listwise loss.

Learning-To-Rank