Proceedings of the 1st ACM conference on Electronic commerce
Foresight-based pricing algorithms in agent economies
Decision Support Systems - Special issue on information and computational economics
Proceedings of the fifth international conference on Autonomous agents
Dynamic pricing strategies under a finite time horizon
Proceedings of the 3rd ACM conference on Electronic Commerce
Pricing information bundles in a dynamic environment
Proceedings of the 3rd ACM conference on Electronic Commerce
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Multi-Attribute Dynamic Pricing for Online Markets Using Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
One Dynamic Pricing Strategy in Agent Economy Using Neural Network Based on Online Learning
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Dynamic Pricing for Time-Limited Goods in a Supplier-Driven Electronic Marketplace
Electronic Commerce Research
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In this paper, we propose an approach of dynamic pricing where buyers purchase decision is dependent on multiple preferred purchase attributes such as product price, product quality, after sales service, delivery time, sellers' reputation The approach requires the sellers, by considering the five attributes, to set an initial price of the product with the help of their prior knowledge about prices of the product offered by other competing sellers Our approach adjusts the selling price of products automatically with the help of neural network in order to maximize seller revenue The experimental results portray the effect of considering the five attributes in earning revenue by the sellers Before concluding with directions for future works, we discuss the value of our approach in contrast with related work.