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.

引用

页码：594 / 598

页数：5

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