Learning to Rank from Relevance Judgments Distributions

Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto

Learning to Rank (LETOR) algorithms are usually trained on annotated corpora where a single relevance label is assigned to each available document-topic pair. Within the Cranfield…