@inproceedings{8498aab3656e4b58861667f26dde0958,
title = "Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion",
abstract = "The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.",
keywords = "Computer vision, Deep learning, Food detection, Food recognition, Image capturing, Ingredient extraction, Machine learning, Natural language processing, Neural networks",
author = "Ilya Shchuka and Saydash Miftakhov and Vladislav Patrushev and Maria Tikhonova and Alena Fenogenova",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference Engineering and Telecommunication, En and T 2020 ; Conference date: 25-11-2020 Through 26-11-2020",
year = "2020",
month = nov,
day = "25",
doi = "10.1109/EnT50437.2020.9431242",
language = "English",
series = "2020 International Conference Engineering and Telecommunication, En and T 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 International Conference Engineering and Telecommunication, En and T 2020",
address = "United States",
}