SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network

RuiXing Wang, Kuan Fang, RiKang Zhou +2

Learning-to-rank (LTR) is a set of supervised machine learning algorithms that aim at generating optimal ranking order over a list of items. A lot of ranking models have been studi…