Nowadays, even with the increasing number of recipe sharing websites and systems, users may have difficulty to search specific dishes through the massive amount of data contained in such repositories. Also, finding recipes which best fit a handy set of ingredients, while at the same time contemplate some user wishes and restrictions, may become a very time consuming or even impossible task. In this work, we propose a new recipe recommendation and generation system, based on the substitution of recipe ingredients and a datadriven approach, in an attempt to help users finding a recipe that contemplates both their desires and food restrictions, avoiding food wastes.
