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With the increasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services.In this paper a Peer-to-Peer (P2P) based collaborative filtering architecture for the support of product and service recommendations for mobile customers is considered. Mobile customers are represented by software assistant agents that act like peers in the processing of recommendations.