Learning to rank from relevance judgments distributions

Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto

Abstract: 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 framework, relevanc...