• An evaluation of recommendation algorithms for online recipe portals 

      Trattner, Christoph; Elsweiler, David (Peer reviewed; Journal article, 2019)
      Better models of food preferences are required to realise the oft touted potential of food recommenders to aid with the obesity crisis. Many of the food recommender evaluations in the literature have been performed with ...
    • Visual cultural biases in food classification 

      Zhang, Qing; Elsweiler, David; Trattner, Christoph (Journal article; Peer reviewed, 2020)
      This article investigates how visual biases influence the choices made by people and machines in the context of online food. To this end the paper investigates three research questions and shows (i) to what extent machines ...
    • What online data say about eating habits 

      Trattner, Christoph; Elsweiler, David (Peer reviewed; Journal article, 2019)
      Understanding how individuals shift to diets with much smaller ecological footprints may help us in persuading more people to change their habits and transition to more sustainable food systems. Online interactions provide ...