Arquitectura de integración para el desarrollo de un sistema de geo-recomendación para establecer puntos de venta

The geo-recommendation systems have the ability to carry out recommendations of places according to users interests. This feature is useful in commercial domains because it allows analyzing the study of potential markets locations. Nowadays, the business locations is considered a main factor to achieve the business success; so the profits can be increased if the business is more closer with respect to the location of its customers. This paper proposes the design of an integration architecture for developing a geo-recommender system to locate points of sale. The architecture is based on a layered design where the functionality of its components and relationships are distributed for better 91 Research in Computing Science 113 (2016) pp. 91–103; rec. 2016-03-07; acc. 2016-05-15 maintenance and scalability. In order to validate our proposal, we present a case study describing the proposed architecture.