Issues, Challenges, and Opportunities in Food Recommender Systems

Recommendation systems are commonly used to provide consumers with customized services. They are primarily designed to provide recommendations or ideas that address the problems of consumers and can be applied to a variety of industries. Food recommendation systems are used to propose meals to users based on their purpose, assisting users in acquiring the most suitable meals. We explain four main types of meal recommendation system and algorithms and techniques utilized to implement them for the first time in this work. This paper also provides a full overview of several FRS studies, breaking them down as simply as possible. Finally, we explore the current issues in FRS as well as the field’s future potential. This paper will pose a reference to those seeking a detailed breakdown of FRS in the most coherent way possible.