Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
TL;DR本文探讨了将Learning to Rank方法应用于E-Com search中的实际挑战,提供了一些优化方法和实验结果,包括利用产品项上的人气特征和减少查询属性稀疏性的特征选择,以及选择订购率作为训练目标。
Abstract
e-commerce (E-Com) search is an emerging important new application of information retrieval. learning to rank (LETOR) is a general effective strategy for optimizing search engines, and is thus also a key technolo