Learning Early Exit Strategies for Additive Ranking Ensembles

Francesco Busolin, Claudio Lucchese, Franco Maria Nardini +3

Modern search engine ranking pipelines are commonly based on large machine-learned ensembles of regression trees. We propose LEAR, a novel - learned - technique aimed to reduce the…