Interpretable Relational Representations for Food Ingredient Recommendation Systems

1 Jan 2021 Anonymous

Supporting chefs with ingredient recommender systems to create new recipes is challenging, as good ingredient combinations depend on many factors like taste, smell, cuisine style, texture among others. There have been few attempts to address these issues using machine learning... (read more)

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