Feature Ranking for Total Ordering Ranking Problems
Yongqing Wang, Daniel Dajun Zeng · 2010
In this paper, we first introduce the development of learning to rank and discuss the problems existing in this field especially the ignorance of total ordering ranking.For dealing with the total ordering ranking problem, we assume a method "feature ranking".Based the assumption, we design two algorithms: Feature Rank and BL-FeatureRank.BL-FeatureRank with balance control is a complementary algorithm of Feature Rank for the purpose of performance improvement and robustness.