Human-computer cloud for decision support in tourism: Approach and architecture

Abstract

Tourism is one of the most dynamic and fastest-growing economic sectors, where on-the-fly information and decision support are more actual than ever. Tourist decision support systems today leverage a variety of technologies both machine-driven (GIS or knowledge-based inference) and human-driven (recommendation systems). This paper applies a novel concept of… (More)
DOI: 10.23919/FRUCT.2016.7892205

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