Paper Title
Smart Cooking
Abstract
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.