jaanli/food2vec
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Applies word2vec embeddings to recipes and ingredients, learning semantic relationships between foods through fastText on a recipes dataset. Includes t-SNE visualization tools and an interactive web demo for exploring ingredient similarities and recipe composition patterns. The approach treats cooking ingredients like language tokens, enabling discovery of unexpected flavor pairings and ingredient substitutions through vector space proximity.
224 stars. No commits in the last 6 months.
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224
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46
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 10, 2022
Commits (30d)
0
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