AI in gastronomic tourism
| Main Authors: | Pavlidis, George, Markantonatou, Stella, Toraki, Katerina, Vacalopoulou, Anna, Strouthopoulos, Charalampos, Varsamis, Dimitrios, Tsimpiris, Alkiviadis, Mouroutsos, Spyridon, Kiourt, Chairi, Sevetlidis, Vasileios, Minos, Panagiotis |
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| Format: | Proceeding Journal |
| Terbitan: |
International Frequency Sensor Association (IFSA) Publishing, S. L.
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3862543 |
Daftar Isi:
- 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.