@misc{10481/103761,
year = {2025},
month = {2},
url = {https://hdl.handle.net/10481/103761},
abstract = {This paper presents AdaptaFood, a system to adapt recipes to specifc dietary constraints. This is a common societal issue due
to various dietary needs arising from medical conditions, allergies, or nutritional preferences. AdaptaFood provides recipe
adaptations from two inputs: a recipe image (a fne-tuned image-captioning model allows us to extract the ingredients) or a
recipe object (we extract the ingredients from the recipe features). For the adaptation, we propose to use an attention-based
language sentence model based on BERT to learn the semantics of the ingredients and, therefore, discover the hidden relations among them. Specifcally, we use them to perform two tasks: (1) align the food items from several sources to expand
recipe information; (2) use the semantic features embedded in the representation vector to detect potential food substitutes
for the ingredients. The results show that the model successfully learns domain-specifc knowledge after re-training it to the
food computing domain. Combining this acquired knowledge with the adopted strategy for sentence representation and food
replacement enables the generation of high-quality recipe versions and dealing with the heterogeneity of diferent-origin
food data.},
organization = {Ciencias de la Computación e Inteligencia Artificial},
organization = {ERDF/EU},
organization = {MICIU/AEI/10.13039/501100011033 PID2021-123960OB-I00, TED2021-129402B-C21},
organization = {European Union NextGenerationEU/PRTR},
organization = {Junta de Andalucí­a PREDOC_00298},
organization = {University of Granada CITIC-2024-06},
publisher = {Springer Nature},
keywords = {Food computing},
keywords = {Recipe Adaptation},
keywords = {Word embedding},
keywords = {Healthy diet},
keywords = {Natural language processing},
title = {Adaptafood: an intelligent system to adapt recipes to specialised diets and healthy lifestyles},
doi = {10.1007/s00530-025-01667-y},
author = {Morales Garzón, Andrea and Gutiérrez Batista, Karel and Martín Bautista, María José},
}