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.
Name | Size | |
---|---|---|
pavlidis_paper67_preprint.pdf
md5:3a61aa345dd9d553532117b49e37c2fe |
858.2 kB | Download |
All versions | This version | |
---|---|---|
Views | 217 | 217 |
Downloads | 114 | 114 |
Data volume | 97.8 MB | 97.8 MB |
Unique views | 183 | 183 |
Unique downloads | 104 | 104 |