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Ordinal regression (OR -also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to rank and product review rating. However, research has not paid attention to the fact that typical applications of OR often involve datasets that are highly imbalanced. An imbalanced dataset has the consequence that, when testing a system with an evaluation measure conceived for balanced datasets, a trivial system assigningdoi:10.1109/isda.2009.230 dblp:conf/isda/BaccianellaES09 fatcat:lrn2udaupzakpnndmy77zwvf5e