Using Multi-Agents for Intelligent Data Retrieval

Abstract

There is a need for innovative information search and retrieval strategies since retrieving information from the World Wide Web (WWW) using conventional search engines is still a challenging and time-consuming operation. In order to help users discover interesting content on the World Wide Web, an intelligent retrieval system model based on Multi-Agent is suggested. Using a combination of standard and specialized web search engines, this strategy narrows the results down to a manageable set of results that are very likely to be of interest to the user. The agent does this filtering by studying the user’s online actions in relation 
to their preferences and search intent. Detailed are the model’s architecture, design, functional components, and workflow. The methodology is useful for addressing the problems with generic search engines’ poor accuracy and irrelevant content ranking.