Conference paper Open Access
Pavlidis, George;
Markantonatou, Stella;
Toraki, Katerina;
Vacalopoulou, Anna;
Strouthopoulos, Charalampos;
Varsamis, Dimitrios;
Tsimpiris, Alkiviadis;
Mouroutsos, Spyridon;
Kiourt, Chairi;
Sevetlidis, Vasileios;
Minos, Panagiotis
Gastronomy is increasingly becoming a decisive flavour of tourists’ experience. Tourists’ gastronomic experience could be significantly enhanced by AI tools that provide image-based dish recognition and menu translation, thus covering the basic needs of tourists during a visit that involves culinary experiences. This paper presents and discusses solutions explored with the project GRE-Taste that deals with the enhancement of culinary tourism experience in northern Greece, for which no linguistic resources exist and where general-purpose tools fail.
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