文献类型：会议论文

英文题名：Real Time Demand Learning-Based Q-learning Approach for Dynamic Pricing in E-retailing Setting

作者：Cheng, Yan

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

会议论文集：1st International Symposium on Information Engineering and Electronic Commerce

会议日期：MAY 16-17, 2009

会议地点：Ternopil, UKRAINE

语种：英文

外文关键词：demand learning; e-commerce; Q-learning

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.