SHARE: a System for Hierarchical Assistive Recipe Editing
S. X. Li, Yufei Li, Jianmo Ni, Julian McAuley · 2022
The large population of home cooks with dietary restrictions is under-served by existing cooking resources and recipe generation models.To help them, we propose the task of controllable recipe editing: adapt a base recipe to satisfy a user-specified dietary constraint.This task is challenging, and cannot be adequately solved with human-written ingredient substitution rules or existing end-to-end recipe generation models.We tackle this problem with SHARE: a System for Hierarchical Assistive Recipe Editing, which performs simultaneous ingredient substitution before generating natural-language steps using the edited ingredients.By decoupling ingredient and step editing, our step generator can explicitly integrate the available ingredients.Experiments on the novel RecipePairs dataset-83K pairs of similar recipes where each recipe satisfies one of seven dietary constraints-demonstrate that SHARE produces convincing, coherent recipes that are appropriate for a target dietary constraint.We further show through human evaluations and real-world cooking trials that recipes edited by SHARE can be easily followed by home cooks to create appealing dishes.