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Found 2 papers, 1 papers with code
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
To perform this task, we developed RecipeMind, a food affinity score prediction model that quantifies the suitability of adding an ingredient to set of other ingredients.
Interpretable Relational Representations for Food Ingredient Recommendation Systems
We propose and test two variants of the model.
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