We propose a model for Recipe generation based on recurrent neural networksIn this work, we will present a model that gives for a given set of ingredients, those ingredients that can best be combined with all the given ingredients. These combinations will not be restricted to combinations found in recipes and thus allow us to create new ingredient combinations. We will use data mining and machine learning techniques to build the model that will predict which ingredients will make a good combination with a given set of ingredients and which will not.Our work examines the potential for computational creativity in the culinary arts. In particular, we will develop a novel simple recipe recommendation system based in order to achieve adequate precision.
Keywords - Neural Network, Recommendation System.