Multimodal Analysis of User-recipes Interactions.
Date Issued
2022
Author(s)
Georgievska, Emilija
Stojanoska, Martina
Mishovska, Sanja
Eftimov, Tome
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.
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.
Subjects
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