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

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Authors Yue Liu, Philips Kokoh Prasetyo, Ke Shu, Helena H. Lee, Palakorn Achananuparp, Ee-Peng Lim, Lav R. Varshney
Journal/Conference Name The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Paper Category
Paper 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/.
Date of publication 2020
Code Programming Language Jupyter Notebook
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