Multimodal Analysis of User-recipes Interactions.

Abstract

A good diet is essential for good health and nutrition, but also as a way of expressing and feeling good. Culinary and food recommender systems are becoming increasingly popular at a time when people are facing fast-paced lifestyles. In this paper, we are analysing interactions between users and recipes in order to make food recommendations based on their previous behaviour which would result in higher personalization for every single person. This also raises the question of whether people stick to what they know well or are open to new suggestions, or do personal recommendations lead to more homogeneity.