Data-driven recipe completion using machine learning methods

Trends in Food Science & Technology(2016)

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摘要
•Recipe completion can be performed using machine learning methods.•The resulting models determine possible ingredient combinations.•Non-negative matrix factorization can retrieve an eliminated ingredient from a recipe.•Two-step regularized least squares can complete an ingredient set to form a recipe.•Cuisine and type of dish are main factors in ingredient selection.
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关键词
Ingredient combinations,Recipe completion,Non-negative matrix factorization,Two-step regularized least squares,Recommender systems
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