Generating Personalized Recipes from Historical User Preferences

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley

Abstract
Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes. We propose a new task of personalized recipe generation to help these users: expanding a name and incomplete ingredient details into complete natural-text instructions aligned with the user’s historical preferences. We attend on technique- and recipe-level representations of a user’s previously consumed recipes, fusing these ‘user-aware’ representations in an attention fusion layer to control recipe text generation. Experiments on a new dataset of 180K recipes and 700K interactions show our model’s ability to generate plausible and personalized recipes compared to non-personalized baselines.
Anthology ID:
D19-1613
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Month:
November
Year:
2019
Address:
Hong Kong, China
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
5976–5982
Language:
URL:
https://aclanthology.org/D19-1613
DOI:
10.18653/v1/D19-1613
Bibkey:
Cite (ACL):
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, and Julian McAuley. 2019. Generating Personalized Recipes from Historical User Preferences. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5976–5982, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Generating Personalized Recipes from Historical User Preferences (Majumder et al., EMNLP-IJCNLP 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/nodalida-main-page/D19-1613.pdf
Attachment:
 D19-1613.Attachment.pdf
Code
 majumderb/recipe-personalization
Data
Food.com Recipes and Interactions
PDF Search Code Attachment