ANEGSYS: Un sistema de recomendación basado en negociaciones automáticas para mercados electrónicos locales

Abstract

Local e-marketplaces are local online e-commerce platforms deployed by product and service providers and accessed by local customers via mobile devices. In this scenario, customers need to gather information about available offers from the different providers in the area, in order to select the most suitable for their needs and preferences. We present ANEGSYS, an agent-based recommender system for product acquisition which uses automatic bilateral negotiations to generate purchase pre-agreements among buyer and seller agents. This greatly enhances the search for solutions which maximize both buyer and seller utilities.