To do so, SVM light needs to position the hyperplane so that an instance with a higher rank in T is assigned a more positive value by the hyperplane than one with a lower rank in T .
we can apply the pairwise ranker to each test instance to be ranked, and use the value returned by the ranker for each instance to impose a ranking on the test instances.