文献类型：期刊文献

英文题名：Real time demand learning-based Q-learning approach for dynamic pricing in e-retailing setting

作者：Cheng, Yan[1]

机构：[1] Business School, East China University of Science and Technology, Shanghai, China

年份：2009

起止页码：594

外文期刊名：Proceedings - 2009 International Symposium on Information Engineering and Electronic Commerce, IEEC 2009

收录：EI(收录号：20094712465462)

语种：英文

外文关键词：Costs - E-learning - Learning algorithms

摘要：Information technology has given e-retailers new capability of learning demand in real time. This paper investigates how to integrate this real time learning technology with Q-learning algorithm for the optimization of dynamic pricing in e-retailing setting. Especially, this paper studies the optimal dynamic pricing problem for seasonal and style products in e-retailing setting, and validate our approach in simulated test. ? 2009 IEEE.