MP-IR: TOWARDS A MARKET-ORIENTED MULTI-AGENTS SYSTEM FOR INFORMATION RETRIEVAL IN THE WORLD WIDE WEB
Djamel Eddine Menacer, Christophe Sibertin-Blanc Habiba Drias · Digital Information and Communication Technology and Its Applications · 2013
Recently, there are many works about agent-based approaches for the World Wide Web Information Research (IR). While agent-based market systems prove to be efficient for implementing e-commerce applications on the Web, the use of agents in non-market domains, for example IR systems, is not yet widespread. The success of agents is due to their marketoriented interaction mechanisms. The paradigm of agents should give the researchers a new way to achieve efficient agents-based IR systems. We feel that integrating market mechanisms to agents should improve non market applications problems such as IR systems. In this paper, we present how to use a market approach in IR. The main idea is to propose a new agents’ interaction model, the seller – buyer model which is a basis of a market-oriented agentbased architecture for searching system. Finally, we give an experimental validation to our proposition.