COReS: Context-aware, Ontology-based Recommender system for Service recommendation

Advances in telecommunications and information technology have allowed the proliferation of mobile and multifunctional devices and their incorporation more and more into physical objects, making new information and services available. A consequent problem of this new scenario is information overload, i.e. users face vast and distributed information sources, and have difficulty in selecting those that satisfy their needs and interests. To help users, recommender systems can be applied. Moreover, context-aware systems may collaborate with recommender system, improving recommendations, thus benefiting users with more personalized and contextual results. This work explores the synergy between recommender systems and context-aware computing, describing the development of COReS (Context-aware, Ontology-based Recommender system for Service recommendation). This recommender system broadens the capabilities of the Infraware context-aware platform, by making service offer more efficient, personalized and proactive.