Problem: Comparing loss functions in Ranking. We want to understand the effect of using different loss functions in training a ranking function, e.g., pairwise preference learning versus regression, or a combination of both. What we are interested in are: theoretical properties of different loss functions (consistency etc), computational algorithms and empirical comparisons.