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

被引：6
作者：
Cheng, Yan [1 ]
机构：
[1] E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
来源：
IEEC 2009: FIRST INTERNATIONAL SYMPOSIUM ON INFORMATION ENGINEERING AND ELECTRONIC COMMERCE, PROCEEDINGS | 2009年
关键词：
demand learning; e-commerce; Q-learning; YIELD MANAGEMENT; PRICES;
D O I：
10.1109/IEEC.2009.131
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
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页码：594 / 598
页数：5
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