RecipeGPT Demo Paper



RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

This work was accepted to the demo track at The Web Conference 2020. GitHub Link | arXiv Link | Poster Link



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.


Authors


This research was done by a team of reseachers from Living Analytics Research Centre of Singapore Management University, or University of Illinois at Urbana-Champaign. We appreciate Jessica Peh for designing the beautiful UI for RecipeGPT.

Helena H. Lee | helenalee@smu.edu.sg
Shu Ke | shuke@smu.edu.sg
Palakorn Achananuparp | palakorna@smu.edu.sg
Philips Kokoh Prasetyo | pprasetyo@smu.edu.sg
Yue Liu | yueliu@smu.edu.sg
Ee-Peng Lim | eplim@smu.edu.sg
Lav R. Varshney | varshney@illinois.edu