DeepRecipes: Exploring Massive Online Recipes and Recovering Food Ingredient Amounts

DeepRecipes: Exploring Massive Online Recipes and Recovering Food Ingredient Amounts

Ingredient amounts are crucial for food-oriented health systems, but this information is seldom used in food-oriented health systems due to the difficulty of fetching it from online recipes. This study proposes a predictive model named DeepRecipes to extract ingredient amounts from online textual re...

Full description

Bibliographic Details
Main Authors: Kequan Li, Yan Chen, Hongsong Li, Xiangwei Mu, Xuhong Zhang, Xiaozhong Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Prediction algorithms
artificial intelligence
deep learning
ingredient amount prediction
Online Access:https://ieeexplore.ieee.org/document/9423993/

Internet

https://ieeexplore.ieee.org/document/9423993/

Similar Items