Computational Food Assistant

Recent research line have exposed risks and opportunities associated with online food portals [Trattner WWW’17]. By providing recipe recommendation, online food portals can have a large impact on public health.

In this project, we will explore datasets extracted from those websites that contain recipes (including their foodfacts) as well as user interacting with them. We will explore new ways of extracting user preferences out of it and will move forward in the quest for health-aware recipe recommender systems using recent factorization techniques.

A passion for machine learning, data science and for creative data exploration is required.