Towards Food Recommender Systems Considering the African Context
Auteurs
Sinyabe E.P., Kamla C.V., Tchappi I., Marzouk A., Najjar A.
Référence
ACM International Conference Proceeding Series, pp. 407-409, 2023
Description
Food recommender systems (FRS) provides suggestions of recipes to human users. These systems are more and more spreading like in EU and US. However in sub-Saharan Africa, the application of these systems is less explored. This paper aims to shed light on the challenges faced by food recommender systems when applied in Sub-Saharan Africa. By identifying these limitations, we can pave the way for more inclusive and culturally sensitive human-computer interaction designs.
