Nutrition Guided Recipe Search via Pre-trained Recipe Embeddings

The use of machine learning to recommend foods that are both healthy and tasty is an open problem. Fundamentally, it is challenging to balance health goals with preferences in taste, while offering users a large diversity of options. Representing recipes via embedding vectors trained on large-scale food datasets can capture the implicit semantics of a recipe. We utilize pre-trained embeddings to p...