{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/generating-personalized-recipes-from","title":"Generating Personalized Recipes from Historical User Preferences","arxiv_id":"1909.00105","date":"2019-08-31","proceeding":"IJCNLP 2019 11","authors":["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.","url_abs":"https://arxiv.org/abs/1909.00105v1","url_pdf":"https://arxiv.org/pdf/1909.00105v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"generating-personalized-recipes-from","repo_url":"https://github.com/majumderb/recipe-personalization","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"recipe-generation","task_name":"Recipe Generation"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[{"slug":"food-com-recipes-and-interactions","name":"Food.com Recipes and Interactions","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/recipe-generation-on-foodcom","task":"Recipe Generation","dataset":"Food.com","model":"Prior Name","rank_in_archive_order":2,"of":2,"metrics":{"BLEU-1":"28.046","BLEU-4":"3.211","BPE Perplexity":"9.516","D-1":"0.233","D-2":"2.08","Rouge-L":"24.794"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1909.00105","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}