Services Objectivization:a Ranking Approach
Objectivization is a crucial task arising in a wide variety of industrial fields that aims at optimizing a certain service in terms of 66customer satisfaction. In this paper focus is on car drivability objectivization and more precisely on the problem of calibrating the acceleration feeling. Our approach is based on statistical ranking of a sample of vehicles characterized by a series of physical parameters, so that cars whose drivability is positively evaluated ideally appear at the top of the list. A novelrankingmethodisusedforthispurpose,calledTREERANK,that may be viewed as a recursive implementation of a cost-sensitive version of the celebrated classification algorithm CART.When applied to a data sample made of pairs (X, Y) where Y is a binary label indicating subjective evaluation of a cars drivability and X its characteristics, this specific nonparametric partitioning technique not only outperforms standard methods based on statistical modelling of the posterior distribution but also yields easy-to-interpret models. Additionally, we show how to enhance ranking accuracy, the performance of the resulting model comparing favorably to a currently used method based on the IASSO procedure.
bipartite ranking ROC optimizaiion tree-based deci-sion rules rank aggregation
Stéphan Célemenc?on Marine Depecker Antoine Saint-Marcoux
LTCI,Telecom ParisTechParis,France DREAM-DTAA. Renault Guyancourt. France
国际会议
成都
英文
62-69
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）