| Title | Learning Conditional Lexicographic Preference Trees |
| Authors | Bräuning, Michael and Hüllermeier, Eyke |
| Year | 2014 |
| Volume | Archives of Data Science, Series A 1(1) / 2016 |
| Abstract | We introduce a generalization of lexicographic orders and argue that this generalization constitutes an interesting model class for preference learning in general and ranking in particular. We propose a learning algorithm for inducing a so-called conditional lexicographic preference tree from a given set of training data in the form of pairwise comparisons between objects. Experimentally, we validate our algorithm in the setting of multipartite ranking. |