@inproceedings{Pavlidis2020b,
title = {AI in gastronomic tourism},
author = {George Pavlidis and Stella Markantonatou and Katerina Toraki and Anna Vacalopoulou and Charalampos Strouthopoulos and Dimitris Varsamis and Alkiviadis Tsimpiris and Spyridon Mouroutsos and Chairi Kiourt and Vasileios Sevetlidis and Panagiotis Minos},
url = {https://zenodo.org/record/3862543#.YBE56ej7Tcc},
doi = {10.5281/zenodo.3862543},
isbn = {978-84-09-21931-5},
year = {2020},
date = {2020-07-13},
urldate = {2020-07-13},
booktitle = {Proceedings of the 2nd International Conference on Advances in Signal Processing and Artificial Intelligence},
pages = {168–174},
publisher = {International Frequency Sensor Association (IFSA) Publishing, S. L.},
address = {Berlin, Germany},
abstract = {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.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
