1. A system that facilitates a machine-learned approach to determine document relevance, comprising: a storage component that receives a set of human or machine selected items to be employed as positive test cases; and a training component that trains at least one classifier with the human or machine selected items as positive test cases and one or more other items as negative test cases in order to provide a query-independent model.