Images & Recipes: Retrieval in the cooking context

Cooking is one of the most fundamental human activities connected to various aspects of human life such as food, health, dietary, culinary art, and so on. Data mining and machine learning techniques have been used to extract and clean large datasets of recipes from the Internet, and also to plan and analyze the recipe instructions. One difficulty underlying computational cooking relies on the nature of data since recipes generally include images and text, whether structured or unstructured (e.g., the list of ingredients or instructions in natural language). This opens several challenges in terms of indexing/storing and gives rise to numerous application tasks, such as recommendation or classification. Computational cooking has consequently emerged as a new research topic that also benefits from recent advances in machine learning based on deep neural approaches.