Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
4-2020
Abstract
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system provides two modes of text generations: (1) instruction generation from given recipe title and ingredients; and (2) ingredient generation from recipe title and cooking instructions. Its back-end text generation module comprises a generative pre-trained language model GPT-2 fine-tuned on a large cooking recipe dataset. Moreover, the recipe evaluation module allows the users to conveniently inspect the quality of the generated recipe contents and store the results for future reference. RecipeGPT can be accessed online at https://recipegpt.org/
Keywords
web application, recipe generation, natural language generation
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems | Food Studies
Research Areas
Data Science and Engineering
Publication
WWW '20: Companion Proceedings of the Web Conference 2020
First Page
181
Last Page
184
ISBN
9781450370240
Identifier
10.1145/3366424.3383536
Publisher
ACM
City or Country
New York
Citation
LEE, Helena Huey Chong; SHU, Ke; ACHANANUPARP, Palakorn; PRASETYO, Philips Kokoh; LIU, Yue; LIM, Ee-peng; and VARSHNEY, Lav R..
RecipeGPT: Generative pre-training based cooking recipe generation and evaluation system. (2020). WWW '20: Companion Proceedings of the Web Conference 2020. 181-184.
Available at: https://ink.library.smu.edu.sg/sis_research/5118
Copyright Owner and License
LARC and Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3366424.3383536
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Food Studies Commons