ANEGSYS: Un sistema de recomendación basado en negociaciones automáticas para mercados electrónicos locales (Anegsys: An automated negotiation based recommender system for local e-marketplaces)

Miguel A. López-Carmona (miguelangel.lopez@uah.es), Iván Marsá-Maestre (ivan.marsa@uah.es), Juan R. Velasco Pérez (juanramon.velasco@uah.es), Bernardo Alarcos Alcázar (bernardo.alarcos@uah.es)


Grupo de Ingeniería de Servicios Telemáticos, Universidad de Alcalá
This paper appears in: Revista IEEE América Latina

Publication Date: Oct. 2007
Volume: 5,   Issue: 6 
ISSN: 1548-0992


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.

Index Terms:
E-commerce, automated negotiation, recommender systems.   


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