All of human cooking compressed into 2 megabytes

Summary

[Submitted on 21 May 2026] Title:Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings View a PDF of the paper titled Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings, by Jakub Radzikowski and Josef Chen View PDF HTML (experimental) Abstract:We present Epicure, a family of three sibling skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus. We aggregate 4.14M recipes from 11 sources spanning seven languages, English, Chinese, Russian, Vietnamese, Spanish, Turkish, Indonesian, German, and Indian-English, and normalise the raw ingredient strings to 1,790 canonical entries via an LLM-augmented pipeline. A 203,508-edge ingredient-ingredient NPMI graph and an 80,019-edge typed FlavorDB ingredient-compound graph, 2,247 typed compound nodes across 15 categories, seed three Metapath2Vec variants that share architecture and hyperparameters and differ only in the random-walk schema: Cooc walks the co-occurrence graph only, Chem walks the typed compound metapaths only, and Core blends both via injected ingredient-ingredient walks at controlled mixing, placing each model at a distinct point on the chemistry-vs-recipe-context spectrum. Submission history From: Josef Liyanjun Chen [view email] [v1] Thu, 21 May 2026 12:23:38 UTC (6,566 KB)