arXiv:1705.03487cs.CY
A neural network system for transformation of regional cuisine style
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Abstract
We propose a novel system which can transform a recipe into any selected regional style (e.g., Japanese, Mediterranean, or Italian). This system has two characteristics. First the system can identify the degree of regional cuisine style mixture of any selected recipe and visualize such regional cuisine style mixtures using barycentric Newton diagrams. Second, the system can suggest ingredient substitutions through an extended word2vec model, such that a recipe becomes more authentic for any selected regional cuisine style. Drawing on a large number of recipes from Yummly, an example shows how the proposed system can transform a traditional Japanese recipe, Sukiyaki, into French style.
A char-RNN is a bad way to go about it. The results are effectively random - there's a ton of structure in recipe-space, but forcing it all through the bottleneck of text (and then sampling!) is going to hide a lot of it. You want something like "Sukiyaki in French style: A…
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