Recommender System for Pharmacy Using Multi-Agent

Abstract

Multi-agent Recommender System exploits a collection of interacting agents jointly executing the recommendation generation process. Each agent processes part of the recommendation and/or the interaction, and the established cooperation among them (e.g., exchanging information) helps in building the final recommendation. Recommender system facilitates electronic commerce by helping users to find appropriate products from catalogs. Agent and Multi-agent systems have become a powerful and prevalent methodology for investigating and develop in complex systems. The recommender system is composed of a collection of agents operating together to recommend products to users .The system proposes a multi-agent based recommender system for recommending medicinal drugs in pharmacy. The system can generate the suitable medicinal drugs by calculating similarity of items’ rating and prediction rating for the user. The system can determine what kind of medicinal drug that the customer really wants to buy.